There’s no greater skill than self-reliance. Generating data to support your designs, ideas, and strategies gives you a freedom not available to marketers 10 years ago.

Conversion rate optimization is the segment of digital marketing that seeks to maximize the value gained from your website’s visitors. We seek to convert a visitor to a customer, a lead, or an email subscriber. In short, conversion rate optimization (CRO) is the discipline of getting the most value from the visitors to your website. Businesses get value from their visitors when they begin a conversation with them or convert them to customers.

Without a CRO program, you lose qualified visitors, leaving money on the table. This is why these skills are in high demand from businesses in all industries.

Give a man a fish and he’ll eat for a day. Teach a man to fish, and he can charge up to $29.99 a pound for fresh salmon.

In this article we’ll discuss conversion rate optimization training, how to set learning goals, define essential concepts, funnels, UX, A/B testing, courses, e-books, and communities.

So, grab a pole and a net. We’re going to make sure you’re not left talking about the ones that got away.

A hand turning a dial labeled "Optimization". Beside it is a "metrics" meter labeled "conversion rate".

What is Conversion Rate Optimization?

CRO increases the percentage of visitors who become buyers with the guidance of analytics to determine what is happening behind the scenes on your pages and then implementing the creativity of winning messages, images, and calls-to-action.

Why is CRO Important?

CRO is one of the most important aspects of digital marketing.

Sitting at status quo could leave you stuck if you don’t implement a CRO program. There’s a direct connection to the amount of time, effort, or money you put into CRO and the resulting ROI benefit.

If your landing experience is converting at less than 2%, it doesn’t really matter how much traffic you throw at it. Your acquisition cost is going to remain high.

It doesn't make sense to pay for more traffic when your conversion rate is low.

Getting Started with Self-Paced CRO Training

The first step to learning any new topic is to understand how you like to learn. Learning in your own way ensures that you absorb the information that you can then use for the lifetime of your business.

There are four common ways people learn*.

Methodicals: You need to become an expert in conversion rate optimization. You will read blogs, watch videos, scour reports, and attend events before you dive in.

Competitives: You need to be able to apply what you are learning to your current problems. You will look for content and training that addresses CRO to reduce acquisition costs, decrease shopping cart abandonment, or other specific issues.

Humanists: You learn with others. You are looking for trusted experts and communities in the CRO space that are providing content and recommending resources for you to explore.

Spontaneous: You need to jump in and start doing things. You learn fastest by trying things and making mistakes.

Being honest with yourself about how you learn allows you to tailor your learning program.

How you learn is as important as what you learn.

Evaluate Your Current Knowledge

CRO is about applying data to business problems. Why not collect some data on yourself?

We recommend that you look at your Myers Briggs type, Strengths Finder strengths, or the Kolbe A Index to understand how you learn.

Assessing your skills will keep you from investing in resources that you ultimately won’t get value from. Doing so will help you to prioritize your goals.

How much experience do you have with CRO? How in depth are your skills in copywriting, usability, consumer psychology and behind the scenes coding?

Smart explanation vector illustration. Efficient project management method as acronym of specific, measurable, achievable, relevant and timed. Personal goal setting and strategy system analysis plan.

Set Learning Goals

To help you prioritize goals, use the SMART method for defining them. SMART helps you to become specific in finding measurable goals that are achievable, relevant and met in a timely manner.

Here’s an example of how you can do this with a CRO goal.

Specific – Create copy for a page that increases conversion rates.

Measurable – How many conversions does a page with the copy contribute to?

Achievable – An increase of 10% to 20% in your conversion rate would be helpful and achievable.

Relevant – More conversions will mean more revenue for the business.

Time-Bound – I can accomplish this within 3 months.

Car speedometer image with caption "Master the basics first."

Essential CRO Concepts to Master

The core principles in CRO include:

  • Conveying a unique value proposition
  • Building trust
  • Increasing relevance
  • Providing clarity
  • Amplifying desire
  • Eliminating friction
  • Adding urgency.

As you begin to master CRO skills, you will be able to apply and test these concepts in your own marketing.

Funnel with four stages: Exploring, Researching, Deciding, Acting and the caption "CRO puts the fun in funnel"

The Conversion Funnel

Your campaigns are a series of steps. Each step is an opportunity to apply CRO to move a visitor forward in their evaluation of your offering. So, it’s important that you look at the entire journey as a whole and pay attention to how it all works together.

Top of funnel activities are usually focused on awareness.

Your home page is a top of funnel hub that directs visitors to areas of your website that are relevant to them when they visit.

Here are some things to focus on for the home page:

  • Fast page load speeds will keep visitors on the site.
  • Great navigation will make it easier for your visitors to find their way around.
  • A strong unique value proposition will help visitors to commit to further engagement.

Elements in the middle of the funnel focus on getting visitors to look at specific products and services.

Great content will engage them with your products or services and build trust. Clarity will help define which products or services they should look at.

Bottom of funnel elements strive to close sales.

Use comparison pages, demos, and testimonials to help visitors pull the trigger. Eliminating friction will help move visitors through to the end of the funnel. And adding urgency might make it more likely to happen quicker.

User Experience (UX) and CRO

In digital marketing, much of the customer journey boils down to UX. Is the design of your site helping them understand what is important to focus on??

There are two competing forces at work in UX: familiarity and novelty. We don’t have to work too hard if we are familiar with the UX. Novelty can grab our attention, highlighting what is unique about the business.

We can use the example of shopping in a brick-and-mortar store.

A picture of a shopping cart on a grocery store aisle with the text "UX mixes familiarity with a little novelty."

Grocery stores that use the same standard universal aisle layout across stores make it easy for shoppers to find what they’re looking for if they find themselves shopping at the same store in a different city. This approach leverages our familiarity with how grocery stores work.

Novel UX requires us to teach shoppers a new way of doing things. Save it for truly novel situations.

In a grocery store, self-checkout, however, is a novel way to pay. It makes it quick for those who have small orders but requires more work on the part of the customer.

So, make the usability of your online store smooth in this same fashion. Make your navigation seamless, add upsells and make your checkout process simple.

Image showing A/B Test with two computer screens, one labeled A and one labeled B and the caption "Are you making things better for your visitors."

A/B Testing

One of the best ways to know if a change to your website will be preferred by your visitors is with A/B split tests.

A/B split tests can scientifically tell you with statistical accuracy which change will increase your conversion rate.

It works by loading the current existing web page along with a competing test page into split testing software. Half of your visitors will see the original version while half of your traffic will see the test page.

Conversions are then tracked for each page and a winning page is declared. It’s beneficial to get on a split testing program of at least one test per month.

An example of a basic split test would be testingtwo2 different calls-to-action to see which yields the most sales.

Businessman analyzing a business analytics (BA) or intelligence (BI) dashboard on virtual screen showing sales and operations data statistics charts and key performance indicators (KPI). The caption says "Know the signs of successful web visits KPIs"

Key Performance Indicators (KPIs)

There are many KPIs that will tell you if your CRO work is improving things for the business.

Measurement is critical to CRO work, and website analytics is the source for most of your KPIs. If you are unfamiliar with website analytics, we can recommend MeasurementMarketing to gently get you up the learning curve.

Here are some KPIs to consider in your digital marketing endeavors.

A ball bouncing on a graph with the caption "High bounce rate equals low quality traffic.

Bounce Rate/Engaged Visitors

Your bounce rate has been defined by the ubiquitous Google Universal Analytics as the percentage of visitors who leave your site after visiting only one page. Less blunt measures of bounce rate use the time a visitor is on the site or to indicate a bounce, or some combination of time and pages visited.

For example, Google Analytics 4 uses such a combination of metrics to determine which visits are from engaged visitors. The inverse of this is equivalent to the bounce rate.

A high bounce rate, or low engagement rate, tells you that you are getting qualified visitors from your search, ads, emails, and other traffic sources. They quickly see that they are in the wrong place.

Click and Scroll Depth Metrics

Platforms such as Hotjar and Microsoft Clarity show you where people are clicking on your pages, where they’re not clicking, and how far down a page they are scrolling.

This gives you on-page information that unearths problems with your UX, messaging, and design.

User Path

Most analytics products will show you how visitors are moving through your website. You will see where visitors are getting stuck or dropping out of the funnel.

Time on Page

Google Analytics shows you how much time, on average, your visitors are spending on your page to evaluate engagement.

It is important to realize that time on page may not correlate with higher conversion rates.

A red door with the sign "Exit" and a caption that reads "Where are the exit signs on your website?"

Exits

The exit rate tells you which pages are causing visitors to leave your website. Take a close look at pages with high exit percentages.

Conversion Rate

And finally, don’t forget to measure your actual conversion rate. Measure it using this equation…

(Number of conversions / Number of visitors) * 100 = Conversion rate %.

The word TRAINING and all of it's components: coaching, teaching, knowledge, development, learn, experience, skills.

Best Resources for Self-Learning CRO

There’s a myriad of CRO resources that will help you learn how to increase your conversions rates and practice developing new skills.

It’s important that you follow reputable digital marketing sources. Here are a few resources both free and paid to add to your CRO learning program.

A student studying with a book and her laptop computer. The caption says "Online courses and certifications"

Online Courses and Certifications

A CRO course is one of the most effective ways to get training under your belt. With a regimented course plan and quizzes, it’s a great way to test, develop and practice skills. Some conversion rate optimization training courses offer a CRO certification, which can be a nice addition to your resume.

We can’t recommend a training resource more than CXL Institute.

Our own Brian Massey teaches the introduction to the CRO mini degree, which has the detail that Methodical learners will love.

With 90 digital marketing courses, Competitive learners will be able to find something that focuses on their current problems.

CXL draws from industry experts, so Humanists are likely to find a trusted source to learn from.

Market Motive offers a low-cost but comprehensive conversion rate optimization training course. Market Motive offers hands-on projects for our Spontaneous learners to try out what they learn.

The bite-size lectures found on Udemy will also appeal to our Spontaneous learners.

For our Humanist learners, we recommend live and online workshops, like those offered by SMX, Digital Summit and others. These provide a way for you to interact with the trainer and the class as you explore topics in CRO.

Regardless of your learning style, your ability to create words and images that are relevant and compelling to your visitors is crucial. For this reason, we love Copyhackers online courses for copywriting.

A bookshelf with the caption "Books and e-books"

Books and E-books

Many CRO experts have written books that should be in every budding analyst’s library to help them learn more. A comprehensive list wouldn’t be that useful to you.

Instead, we offer one or two resources for each of the learning styles we’ve highlighted in this article.

For our Spontaneous readers, we recommend Your Customer Creation Equation: Unexpected Website Formulas of the Conversion Scientist. Brian Massey walks readers through five website formulas and helps you determine which aligns best with your specific business structure to get amazing results.

For our Humanist readers, we recommend Waiting For Your Cat To Bark? Persuading Customers When They Ignore Marketing by Bryan and Jeffrey Eisenberg. This starts with the premise that customers operate more like cats than Pavlovian dogs.

For our Competitive learners, we recommend Steve Krug’s Don’t Make Me Think Revisited. For decades, this book has changed the mindset of readers and experimenters.

For our Methodical learners, we recommend a detailed top-to-bottom overview of CRO.

Landing Page Optimization: The Definitive Guide to Testing and Tuning for Conversions by Tim Ash, Maura Ginty and Rich Page.

This book focuses on landing page optimization with before and after results.

The word "COMMUNITY" wth hands holding up each letter.

Forums and Online Communities

Being able to openly ask and answer CRO questions is a valuable place for people to broaden and learn more CRO skills. It’s a place of precision learning. It’s also a really great place to meet other CRO folks.

Check out the Moz CRO forum where you can learn techniques by meeting like-minded people and interact with questions and answers.

Practical Tips for Applying CRO Knowledge

Finally, there will come a time to apply your CRO knowledge in a real-world setting. It’s important that you adjust and refine based on outcomes.

You should have access to a website with at least 100 conversions a month if you want to start exercising your new CRO skills.

Start Small

You don’t have to perform a complete web redesign in order to get results. In fact, it’s not advised because multiple changes can skew results making it difficult to know what changes helped or hurt a page.

It’s advised that you start with small changes so you can gauge exactly which changes increase and which changes decrease conversions.

Even a small change such as changing the copy on a CTA button can yield significant results.

Analyze, Iterate, Improve

The beauty of CRO is that at each step you can take what you learn and build and improve upon that improvement.

Don’t be afraid of failed tests. There is opportunity to gain insight from failed tests as well.

Take what you have learned from both your winning and losing tests and then use that information to iterate with a new test.

Stay Updated with CRO Trends

As with any arm of digital marketing such as CRO, it is always evolving. New platforms are always emerging that could change the game enabling you to learn more.

Make sure you’re signed up to newsletters that will help keep you up to date on the latest trends. Follow blogs for new articles that showcase new technologies and trends. And follow influencers on social media.

FAQs

How do I get good at CRO?

Practice really does make perfect. If you follow all these guidelines and maintain a learning program and you will notice that as you go along, things really start to click and make sense in new ways as you continue to learn.

What skills do you need for CRO?

You need analytical skills to sort through data that will help you make informed decisions. And you need creativity skills to write copy and messaging that resonates with your audience.

What is the best degree for a CRO?

A marketing degree with a focus in digital marketing is highly beneficial to a CRO specialist with a concentration in CRO related classes.

What makes a successful CRO?

A successful CRO makes decisions based on data, not assumptions.

Analysis is just one part of the game. You will also want to work on your ability to present your findings in a way that others will understand.

How long does it take to become proficient in CRO?

There is a lot of skill developing when it comes to CRO. It often takes time for things to truly click. It typically takes a couple of years if you stick to your learning program and have opportunities to exercise your skills.

Are there any industry-recognized certifications for CRO?

CXL Institute offers certification that is generally recognized by the industry.

How do I measure the success of my CRO efforts?

Measure your KPIs and make sure that they are moving in a positive direction.

How do I balance user experience with aggressive CRO tactics?

It’s always important to make sure that your user experience is effortless. If aggressive CRO tactics interfere with a user experience, it might be in your best interest to forego those tactics.

What are the most common pitfalls or mistakes when starting with CRO?

Testing everything can be a problem as many tests don’t end up yielding wins. Focusing on the wrong things can also be a waste of time. Spend extra time on choosing which ideas you test, which you just change, and which you ignore. This is part of the process of becoming good at CRO.

How often should I update or revisit my CRO strategies?

Updating your skills should be an ongoing process. New strategies are being tested by other CRO professionals, and many of them share their results. A year away from newsletters and articles on CRO could cause a huge gap that results in a lack of updated information.

Kickstart Your CRO Journey Today!

Now that you’ve been given the tools and map to teach yourself CRO, it’s time to get started.

Assess your current knowledge and set realistic SMART goals to implement a successful learning program.

Master essential CRO concepts such as conveying your unique value proposition, building trust, increasing relevance, providing clarity, amplifying desire, eliminating friction, and adding urgency.

Understand funnels, UX, A/B testing and KPIs. Take courses, read books, and join forums. Start small and iterate on your advancements while always updating your skills.

And if you need a little extra help, Conversion Sciences is here to offer a hand. We’ve been thought leaders in the space since 2007. Through our books, blogs, podcasts, and trainings, we’ve taught thousands of people how to excel in CRO. We can help introduce you to CRO 101, share a few more CRO resources or offer more in-depth CRO training.

Reach out and let us know how we can support our CRO learning journey.

* Modes of Persuasion from Waiting for your Cat to Bark? by Bryan and Jeffrey Eisenberg.

We ran an A/B test of a form against a multistep quiz-style form and found that it increased completion rates by 61%. Here’s what we learned.

Sometimes, we collectively overlook some of the most promising ideas to make things better for our visitors.

So many landing page redesigns leave one element largely unchanged:

The stack of fields we call a web form.

The forms may change, but the stack of fields approach seems to be the preferred way to get a visitor’s information.

Over the past few years, we’ve been experimenting with alternatives to what we call Pancake forms, with some incredible results.

We get higher conversion rates, better abandonment data, and more valuable customers.

Traditional Web Forms are rarely questioned.

It’s human nature to keep doing what we and others have done for a long time. This is why the people that Appled called “the crazy ones” seem to find success.

We here at Conversion Sciences are no exception. Here’s a page we completely redesigned. Just about everything on the page changed.

Except one thing.

Two versions of the Ogle Schools homepage, labeled before and after. (Click to enlarge)

Almost everything changed, except one element.

The one thing that changed little was the form, certainly one of the most important components of the page.

Limitations of Web Form Optimization

We have the ability to see how our visitors are using our web forms. A variety of tools will tell us what fields in the stack are causing problems.

But what do we do with the information?

A web form heat map report that shows how many people abandon at each field.

We can instrument forms to see which fields cause people to abondon the form. Click to enlarge.

We can remove a problem field. Sometimes this is an option.

We can adjust the field. We often find that changing a dropdown to an open-text field will increase completions.

We can add some information next to the field. This often makes the form more intimidating to the visitor.

For more, see Designing Landing Page Forms That Convert.

A/B Test of a Form vs. Quiz

Here is a pretty typical lead generation form. It’s a stack of fields — a pancake form.

GPS Fleet Tracking form with fields name, email, phone, company name, and number of devices.

This looks like a simple pancake form. Certainly most visitors are getting through it, right?

How could we change this experience? How can we make it

  • more personal?
  • more mobile friendly?
  • better at collecting data about our users’ behaviors?

This is the solution we came up with. It’s a multi-step form, or a quiz.

Multi-step or Quiz-style web forms

This is the solution we came up with. It’s a multi-step form.

This version generated 61% more quote requests when we did an A/B test of the quiz.

Images of the five steps of the multi-step form for Blue Rhino.

This mulit-step version of the form asks more questions, yet has a much higher completion rate than the Pancake form.

Why do quiz-style forms often outperform standard web forms?

While we don’t expect this type of approach to work for all websites, it is curious that it works at all. The common belief among digital marketers has been that, if you require more clicks in a process, you give visitors more opportunities to abandon the site.

Clearly, quiz-style forms multiply the number of clicks required. Yet, despite the increased opportunities to jump out, quiz-style forms can significantly improve completion rates.

Heres what we think is going on.

  • When you have more room to explain why you need data, reasonable people give it to you.
  • When you start off asking about the visitor and their problem, you build trust.
  • Once your visitor is a few steps in, they figure they should just go ahead and finish (sunk-cost fallacy).
  • Each step fits neatly onto a mobile screen, meaning no scrollling around.

Things to try with Quiz-style Web Forms

Measure visits to each step of a web form.

Send an event to your analytics package at each step of the process. You’ll be able to create detailed funnel reports that tell you where your visitors are getting into trouble.

Bar graph with each bar being a step of the quiz. The legend says "number of mom's who drop off from previous step" and "number of moms who reach step".

We can diagnose which steps cause more visitors to abandon the quiz. Click to enlarge.

This data allows you to A/B test different versions of the quiz to find the most effective.

Redesign steps that have high abandonment.

Once you know where the problem steps are, you should consider adding information.

Three versions of a quiz step. On labeled "Step 1 Original", the next labeled "Steps variation" and the last labeled "Testimonail variation"

Three variations of a step that had high abandonment rates. Click to enlarge.

Change the order of a web form’s steps.

We have found that asking for personal information at the end of the process is a good place to start. However, it is sometimes helpful to ask for this up-front.

A/B test the order of the steps on your quiz style form to see what works best.

Remove steps from a web form.

While we have found little correlation between the number of steps and completion rates, some steps will be more relevant to your visitors than others.

A/B test removing steps that provide information only important to you.

Add steps to the web form.

It may seem counterintuitive, but adding steps may actually improve completion rates. This is most often the case if you are adding questions that ask about the visitor’s problem, as opposed to questions that collect data for you.

A dropdown form field labeled "Number of vehicles/Equipment to Track". The text in the field says "Select approximate fleet size". It is replaced by two quiz steps that say "What types of assets are you working with" and "How many assets do you have?"

This single field was replaced by two quiz steps. Click to enlarge.

Add steps after the conversion.

The power of this approach is that you will see the process of collecting information from your visitors as an experience, or a flow. This experience extends beyond the purchase.

The thank you page or receipt page is a great time to ask for more from your visitor. Try adding some of these:

  • Ask for feedback
  • Ask for social sharing
  • Let them schedule their demo or consultation
  • Upsell them on accessories
  • Invite them to subscribe to regular deliveries
  • Invite them to join your loyalty program
  • Ask them to create an account

Should you consider quiz-style web forms?

This approach has worked in numerous other A/B tests on a variety of websites.

We think you should add this to your own idea list.

You can also let us A/B test a form on your site.

How do you compare your data when you move from Universal Analytics to Google Analytics 4 (GA4), or some other analytics package? Learn how to size up a lot of data very quickly using a simple algorithm you learned in high school.

Once you move from Google Analytics to Ga4, you can be assured that your data will not match exactly. In fact it may be off by a percentage.

What is more important is that relative changes from day to day, week to week, and month to month are of the same magnitude in both systems.

Is the GA4 data correlated with the UA data?

For example, if we graphed the Universal Analytics (UA) metric Users against the GA4 metric Active Users, it might look like this:

Graph showing days in which many more Users are reported than Active Users.

It is clear that UA consistently reports more Users than GA4 active users on a day-by-day basis.

The blue bars are the users reported by UA and the green bars are the active users reported by GA4 on a daily basis. It’s clear that UA is reporting more users than GA4 is reporting acitve users.

This is to be expected, because active users are calculated differently by GA4 than is users.

What is more important is that they move similarly to each other day after day. In other words, if GA4 is going to report fewer active users, the magnitude of the difference between it and UA should be consistent, day after day.

For most days this appears to be true. But some days, UA reported many more users than GA4 reported active users.

Does this mean that we can’t trust one or the other? There is a way to find out.

Scatter Plots, Not Bar Graphs

The bar graph is a crude tool for comparing two data sets. In fact, any time-series graph is going to disappoint.

What we need is a Scatterplot.

Chooskng the Scatterplot graph in Google Sheets

The Scatterplot graph in Google Sheets

A scatterplot ignores the order of the date and instead compares the data on each day. On a day that UA reported 200 users, how many active users did GA4 report? We plot that point.

When we do it for each day in our data set, we might see something like this:

Scatterplot graph of Users from UA vs. Active Users from GA4

Scatterplot graph of Users from UA vs. Active Users from GA4

What you might notice is that this data lies in a straight line, for the most part. This is a good sign. It means that the GA4 data changes relative to the UA data for each of the days mapped.

This doesn’t mean that it’s accurate, though. Here’s a scatterplot of the same data, but I’ve artificially doubled the daily UA data.

A scatterplot in which the value of one dataset has been doubled. It looks pretty much the same.

A scatterplot in which the value of one dataset has been doubled. It looks pretty much the same.

This data looks good, but it’s not. How would we know?

Spreadsheets and your high school math teacher give us a simple way to evaluate the data like a boss.

Add a Trendline

First, Google Sheets will calculate a trend line for us. When at science events, we call this a linear regression. This is the straight line that best “fits” the points. If the points look like a line, then the trend line will be a close approximation of the data. In Google Sheets you’ll find this in the Customize tab under Series >.

These features exist in Excel as well.

A checkbox labeled "Trendline" is checked in Google Sheets.

Check the Trendline box in the Chart Editor of Google Sheets

When we add a trend line to our data, we see this:

Scatterplot graph with Trend Line

The trend line matches the data very closely. But how closely?

That draws a pretty line right along with our data. How closely do the two data sets match? That’s what R2 tells us.

Reading the R2 Value

If you’re curious about how this is calculated, here’s a helpful video.

Google Sheets will calculate R2, but this is not enough. We want the equation of the trend line so that we know how closely related the two data sets are.

In Google Sheets, set the Label field to "Use Equation" and check the box labeled "Show R squared".

In Google Sheets, set the Label field to “Use Equation” and check the box labeled “Show R squared”.

There are some mathy looking bits in our legend now.

The scatterplot showing the R squared value and line equation of the trend line in the legend.

The R squared value tells us how closely the data “fits” our trend line and the equation describes the trend line in detail.

The R2 number tells us how well the trend line describes our data. A perfect fit would give us an R2 value of one. The closer to one it is, the more likely our two data sets are describing the same thing.

The equation is the one you learned in high school. It’s just the equation of a line.

The Equation of a Trend Line

This is one of those equations that you swore you would never use in math class. Today, it’s going to give you X-ray vision into your data.

y = mx + B

x is the GA4 Active Users

y is the UA Users

The choice of x or y axis is arbitrary for a scatterplot.

m is the “slope” of the line. It’s the “rise over the run”. If we expect our two datasets to be alike, we expect a slope very close to one.

B is the “y intercept”. It is where our line crosse he vertical axis, also called the “y axis” when x is zero.

We’re hoping that our GA4 data is as much like our UA data as possible. If the two were reporting the exact same number each day:

  • R2 would be 1
  • The slope (m) of the line would  1
  • The y intercept (B) would be 0

I compared two identical data sets to show this.

A scatterplot of two identical data sets with trendline, R squared value and line equation.

Two identical data sets. The R squared value is 1. The slope is 1.
The y-intercept is 0.

So, what if our data isn’t perfect?

If R2 is significantly less than one, the two data sets are not well-correlated to each other. In other words, they are not describing the same thing. If it’s 0.9 or above, we feel pretty good about the comparison. If its below 0.8, we should be worried.

Even if R2 is close to one, the slope (right before “x”) might be significantly less than one. In this case, we would find that that one dataset is adding or subtracting a percentage of the true value. It could be doubling the count of users, or not reporting users on some percentage of the pages of your website.

If the R2 value his close to one and the slope is close to one, we may find the y-intercept to be higher than zero. This means that some consistent value is being added to one or the other dataset. One is counting something that the other is not.

Here are some common scenarios we see in comparing UA and GA4 data, and how the equation would be expected to change.

You’re comparing the wrong data.

Let’s start off by looking at a bad correlation. Here the R2 value and slope are near 0. The y-intercept is very high.

Something is just not right here. Maybe you’re not pulling the data right.

The scatterplot for two datasets that don't correlate

Both the R2 value and slope are near 0. The y-intercept is way above 0. This is data that doesn’t correlate.

Bot traffic is not being filtered in one dataset.

In this example, I’ve artificially added 50 users per day to one of the datasets. This is what it would look like if GA4 was filtering out a consistent traffic source, like bot traffic, but UA was not.

The entire trend line will is lifted by 50 users. Because it’s consistent, the slope and R2 values are not affected. But the y-intercept will rise precariously.

Adding 50 users to one dataset increases the y-intercept, even though the slope and R-squared values are near 1.

Adding 50 users to one dataset increases the y-intercept, even though the slope and R2 values are near one.

You’re double counting.

It’s remarkably easy to double-count by adding the Google Analytics tag twice. In this case, the slope will be close to 0.5 (or 2.0 if you flip the x and y axis in your scatterplot).

It’s not unusual for us to find a website that is adding pageviews using an on-page tag and a tag manager tag. This will double-count pageviews.

When you double the users reported in one dataset, the slope will approach 0.5 or 2.0.

When you double the users reported in one dataset, the slope will approach 0.5 or 2.0.

You are “breaking” sessions.

If you are “breaking sessions” in either dataset, you’ll see inflation of sessions. This will be reflected in the slope. It will be significatnly above or below one.

For example, if you use a utm_ query parameter on a call-to-action button on your site, UA will start a new session, as if the user was just arriving on the site. GA4 doesn’t do this.

If your visitors are going to a third-party site and returning, you can get broken sessions. If you have cross-domain tracking setup in UA but not in GA4, you’ll see something like this for the segement of visitors that visit the other site.

The analytics tag is missing on some pages.

With this example, I’ve added 50% to the dataset on the Y axis. This simulates the scenario in which 33% of the pages on the X-axis dataset don’t have tags.

Note that the R2 value doesn’t change. However, the slope of the line is well below 1. In fact, it’s about 2/3 of a perfect slope.

When adding 50% to one dataset, you find the slope changing even though the R-squared value is the same.

When adding 50% to one dataset, you find the slope changing even though the R-squared value is the same.

Revenue, Transacations and Segments

This approach can be used to check most of your metrics and segments.

Not only can you evaluate the data you are collecting, you can evaluate your ability to pull data in GA4 that represents the thinking of the UA developers. UA data is pre-processed differently in UA than it is in GA4.

This is a great way to be sure you’re pulling similar data segments.

Compare Google Analytics to your sales data.

If you want to be sure Google Analytics is collecting ecommerce data, you can compare transactions from GA to transactions from your backend, such as Shopify, BigCommerce, Magento, etc. This approach is great for that.

This is one of the first things we do with or new Conversion Catalyst clients.

The graphs look the same. Don’t be fooled.

Be careful when you move from Google Analytics to GA4.

In all of these examples, the scatterplots look pretty much the same visually. However, our high school math teacher has equipped us with the equation we need to diagnose our data.

Thanks, high school math teacher!

When CRO and SEO work together, there is a cycle of increasing advantages, according to technical search engine marketer Jason Fisher. Find out how Jason combines SEO and CRO for a one-two punch that delivers results.

Pictures of Jason Fisher and Brian Massey of Conversion Sciences with the Intended Consequences Podcast logo.

Jason Fisher and Brian Massey


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What if you were Google Search’s therapist? You would be tasked with understanding the mind of Google’s search algorithm, simultaneously seeking to understand the Google mind, and trying to help it make better decisions about the world it manipulates.

This, as it turns out, is the job of the search engine optimizer, or SEO. Maybe we should call them SETs: Search Engine Therapists. For they must not only understand the search algorithm, but they must also be able to help it make better decisions.

And they must do this with the active resistance of Google. Like humans, Google secretly does not want to be helped.

Our intrepid SETs will never have a complete understanding of the Google search mind. So, we are stuck with a simple mantra: “Take the best search traffic we can get and let the website sort it out.”

I’m the guy that focuses on “sorting out” the traffic. Making a website better at finding the buyers in your traffic is called Conversion Optimization, or CRO.

Here lies the delicate balance between making the search mind better at its job (SEO) and making the most of what comes your way (CRO).

Google is a cantankerous patient who makes the therapist pay for the privilege of helping it. We need to use all our weapons to maximize this traffic source.

This is why I invited Jason Fisher onto Intended Consequences. He is a search therapist who gets that the “sorting out” part of the equation is important.

* * *

Jsason Fisher has been doing search marketing for a long time. He cut his teeth on search engine marketing right at the beginning of the century, when search marketing was the like the Wild West. Some years later, he was working for a leading link development company, where he learned the power of back links.

He is filling the technical SEO skills gap, primarily for agencies. And he’s the kind of guy that throws around phrases like “competitor link graphs”.

I was curious how a guy like this sees conversion optimization in relation to his work. Here’s what I learned.

CRO vs. SEO: Advice to new online businesses.

We do a lot of consultations with businesses that aren’t ready for our conversion optimization services. My advice to them is this:

  1. Start working on your organic search strategy.
  2. Use search ads to begin bringing traffic.
  3. Then look at optimizing the site to maximize revenue.

Organic search optimization takes 12-24 months to implement. It takes time to research, to create valuable assets, and to build relevant backlinks. But this cannot be easily taken from the business.

Paid search can begin working immediately, but is subject to the bidding of your competition and the whims of the search engine ad algorithms.

Of course, you don’t have to put conversion optimization on hold during this time, especially if your paid search campaigns aren’t yet profitable.

Cheesburger image titled CRO and SEO Services with callouts saying Conversion Optimization, Accessibility, On-page and Off-page Factors, Over-indexing, Under-indexing, and CRO

What are the components of SEO?

For established websites, Jason discusses four main components of an organic search program:

  1. Accessibility
  2. Indexability
  3. On-page Success Factors
  4. Off-page Success Factors
Portion of a hamburger with label "On-page/Off-page Factors"

Portion of a hamburger with label “On-page/Off-page Factors”

These on-page and off-page success factors are the things the search engines look at to determine your authority for certain queries.

  • Off-page Link Graph: The quality and quantity of links
  • On-0page meta data: Title, internal and extermanl linking, etc.

Host performance is an on-page factor. If you have a good tech stack, you should be good.

Over-indexing and Under-indexing

An often overlooked aspect of your search strategy is that the wrong pages are being indexed.

Portion of a hamburger with label "Over-indexing Under-indexing" pointing to cheese slices.

Over-indexing and under-indexing are important CRO and SEO factors.

Do you have a lot of poor-quality pages indexed on the search engines? This can be a problem.

Do you have quality pages that aren’t indexed? Of course, this should be addressed.

It may seem counter-intuitive that you should remove some content from the search index. Jason says that there is a limited “crawl allotment”. You may be wasting yours on poor-quality pages by marking them as “no index”.

Where does link development fit in today’s digital marketing practice?

Link building starts with creating valuable assets, things that others want to link to. In this sense, Jason sees link development like public relations: you’re trying to get people with authority to link to your work.

It takes a lot of work. Of those solicitation emails that us publishers get daily, only 1% results in a backlink.

Evergreen Content

Portion of hambuger with meat labeled "Content"

Content is the meat of the sandwich.

Evergreen content are those assets that can stand the test of time should be a focus of your efforts.

Update them and relaunch. Always be looking for ways to increase the quality. For example, transcribe videos on that page to text.

Content Blueprint

Start with the top keyword opportunities in your space. For those phrases that you don’t have content for, you can retarget existing content to them, or create new content that addresses them.

You are closing the gap on the most important search phrases for your business.

Your goal is to demonstrate to “the machines” that you are the authority in your space. People are going somewhere to get answers to questions relevant to your business. Why not your website?

Some of these topics may seem counter to your intuition. Why put DIY content on your site when you want to do the work for them? Because it tells the machines that you are the authority for those search phrases.

Can we outsource this content?

It depends on how complex your product or solution is. You may need a subject matter expert to truly develop quality content.

Content that gets visitors to stick around.

Content that gets others to link to it.

How can a website convert more visitors to prospects and customers?

Your website needs to

People overthink product and service pages. Jason likes to focus on those things that differentiate your offering.

Yes, testimonials and customer logos can increase your conversion rate. Yet, selling your brand and it’s values make a big difference.

This is harder than adding logos to your page.

It is especially difficult to do your own writing. We are too close to our businesses to present them in a way that the visitors need. Let an external resource start the page and then review it to ensure it reflects your advantages and brand voice.

All of this is the foundation for a great marketing program.

Search optimization provides the information that can be used across your marketing efforts.

  • Ads
  • Email
  • Converison optimization
  • Phone scripts

You will learn a great deal about your audience and your industry when you look through the eyes of the search landscape.

What do your prospects want? What are your competitors doing? What is missing from your messaging platform?

The content calendar is a marketing roadmap.

Understanding not only what you need to say, but when you need to release messages are key to success in search marketing and marketing in general.

When testing your website, you need to know when to run high-risk tests versus low-risk tests.

For example, during peak holiday traffic, you can learn much from low-risk testing during this high-traffic timeframe.

Write for the machines or write for the visitor?

Jason says that you always write for the visitor. Your selection of topics may be driven by the search engines’ understanding of your industry, but the content is for those entering the search phrases.

Links

Jason Fisher is an organic search marketing veteran with over 15 years of experience.  Jason has helped numerous Digital Marketing Agencies all over the country increase their clients organic search channel sales & revenue by building & executing sound SEO Strategies.

Jason Fisher’s Website

Web design is about communicating with people who have problems that your offering solves. Science is about making sure you’re not designing just for yourself. If you do web design for conversion, science will guarantee that your new design will perform better. Here’s how.

This is Alice. She’s a web designer. Alice is doing a website redesign. The design she completes is based on research and her extensive experience. She is confident that this new design will make more visitors choose her company.

A person with speech bubble saying 'This is a big improvement.'

Alice the Web Designer

Alice works with Bob, the web developer and Cindy, the marketing manager to finalize her design, copy and images.

Three human figures with speech bubble saying "This is a big improvement!"

Alice the web designer, Bob the web developer and Cindy the marketing manager.

Their boss, Doug, has faith in the team and thus the design. He loops in Emily from Sales. She thinks it is a big improvement.

Yet, we haven’t asked any customers yet. So they invited some prospective customers in to weigh in on the new design.

Most of them thought the new design was a definite improvement.

10 human figures saying "This is an improvement" and two blue human figures saying "This is not an improvement"

The focus group was mostly in favor of the new design.

Frank, who worked in reception was concerned. He loved to shop online, and knew that if a product had a 5-star review but had only 12 reviews, he wouldn’t believe that rating.

So, why was 12 opinions enough to believe that this design is actually an improvement? Five of them were company employees, after all!

How 12 people can get it wrong.

Fortunately, Georgia, the company scientist was also concerned. She knew that the internal group was going to love the new design because they had designed it. And he knew that members of focus groups want to like the new design, because they are eager to please.

They’re human.

Instead of replacing the old design with the new design, Georgia setup an experiment. Half of the visitors to the  website saw the old design and half saw the new design. Which one would generate the most revenue? What she found was that there was no difference. As far as the company’s prospective customers were concerned, there was no difference.

How did a talented bunch of people, with the help of real customers come to such an erroneous conclusion?

Let’s assume we have 100 people visiting a website. Half of them are more likely to buy with the old design and half of more likely to buy with the new design. You can see that it’s pretty easy to collect a sample of opinions that don’t tell you what is really going on. Pick the wrong 12 people, and you can either bet on a poor design, or throw out a pretty good design.

100 person icons, half are black, half are blue. Red selection boxes show that your sample can tell a different story.

Most design teams are biased in favor of a design because they created it with no other opinions involved.

Bigger sample sizes mean fewer design mistakes.

We can never ask EVERYONE if they prefer to see the old design or the new one. We have to ask a subset of the population of visitors. Scientists use the variable “n” for the size of the sample we are going to “ask”.

Here’s the problem from a Design Scientist’s point of view.

One designer? n=1

One designer, one developer, one marketing persion? n=3

Add in an executive and a focus group? n=12

At n=12, we are till making mistakes in our design decisions. How big does n need to be?

In our example, a sample size of n=40 gives us more confidence that we are seeing reality.

It’s harder to make bad decisions with larger sample sizes.

Where do we find these bigger sample sizes?

A design scientist has two tasks:

  1. Increase the sample of people opining on her designs.
  2. Increase the quality of the sample of people opining on her designs.

There are three broad ways of getting more n’s to look at your design options:

  1. AB Testing
  2. Trial and Error
  3. Usability Studies

Usability Testing

A usability test is essentially a giant focus group. Thanks to services like UsabilityHub, you can bring 25, 50, or more people to look at your new designs and tell you which communicates better.

Cons: These panels of people are NOT necessarily customers of your product, so their input is less reliable than trial and error or an AB test.

Trial and Error using analytics

To get the “input” of your actual prospects, it makes sense to launch something. Then you use analytics to see if the change made things worse or better. However, you must be willing to roll your new design back if you find that conversions drop with the new design.

We recommend using an AB testing tool to make changes to the page and then use analytics to determine if the change was an improvement. If it was, make the change permanent. If it wasn’t, try something else.

Cons: If there is a shift in traffic, pricing, promotions, competitors, or anything else, your results can be skewed. For example, if your competition launches a sales at the same time that you launch a new design, it can look like the new design is decreasing your sales.

AB Testing

The AB test is designed to overcome the limitations of the other two approaches. It takes it’s sample from your actual web visitors and it controls for changes in the marketplace. For an explanation of how this works see our intro to AB Testing.

Cons: AB testing is limited by the amount of traffic you are getting and requires some developer support.

Guaranteeing your design will outperform the old design.

If you are able to improve the number of brains involved in your web design for conversion, and can bring the brains of actual prospects, there is no reason you should make small sample size mistakes with your website redesigns.

You can guarantee your new design will improve conversions. If your samples say they’re not better, you don’t use them and try something else.

What is the job of an optimizer? Is it just improving conversion rates? If not, what is the goal of a CRO professional and what are the steps of conversion optimization?

Brian Massey, the Conversion Scientist, shares the steps of conversion optimization. He is the founder of Conversion Sciences, and author of the book “Your Customer Creation Equation”.

If you are new to conversion optimization or if you need to take your website conversion to the next level, Brian’s book is a fantastic foundation. It will help you understand the way an optimizer looks at the world and looks at a website.

What is the Goal of Conversion Optimization or CRO?

Let’s start off by talking about what conversion optimization means to me. I don’t see my job as just improving conversion rates, but getting the most value out of every visitor to your website.

In a lot of situations that might mean a conversion to a sale. But even on an e-commerce site, we might want to connect with visitors who aren’t yet ready to buy, so we try to get them to join an email list. We can get value from them by asking them for their name and email address in exchange for fantastic information, a discount, or something else of value.

In the mobile world, a conversion may look like a phone call. Click-to-call is a powerful way for prospects to take action when away from their phone.

There are a number of things we can do to get value from our visitors, and for us, everything is on the table.

The reason I want to lead the life of a conversion optimizer is because we do wonderful things for online businesses. This is probably why we’re so well-liked.

Benefits of conversion optimization. Brian Massey, the Conversion Scientist, shares the steps of conversion optimization.

Benefits of conversion optimization.

Benefits of Being or Having a Conversion Optimizer

First of all, we do increase the revenue from the traffic that you’re getting. The net result of that is that it decreases your acquisition costs, your advertising spend.
If more of those clicks that you’re paying for turn into customers, then you get a positive return on your ad spend.

Having a site with high conversion rates often means people are staying on your site longer. They are buying more often. They are typically visiting more pages. Google understands this and rewards you with higher rankings. If people are staying on your site and not “pogo sticking” back to the search results page, well, your organic ranking will likely go up.

We, of course, increase your growth because we don’t just test what goes on your pages. We can test pricing, we can test bundling, we can test new features — we can test the things that are core to your business.

And we provide the data that makes you smarter at identifying where you should be investing your advertising and marketing dollars.

We’ll know which channels are converting best, which things you’re doing well and which you are not. And you can adjust your marketing spend accordingly.
So, conversion optimizers really are wonderful for a business.

Knowing which path your users are taking is a starting point to increasing the revenue from the traffic that you're getting.

Do you know which path your users are taking?

Logically, we might think that a path through our website should look a certain way, but in truth, the visitors want something different.

It’s our job to understand what that desire path is. For instance, in a park like this, people may be avoiding the paved path because it’s concrete which is harder on your knees when you’re running than dirt. It may not just be because it’s the shortest distance.

We want to understand the visitors’ motivations. That is what I spend my days doing. My whole job is to make sure that I’m not using mental shortcuts to make decisions.

Our biases keep us from providing the experience our users want. Steps to conversion rate optimization.

Cognitive bias codex.

The 3 lbs. of gray matter between our ears is just packed full of biases, shortcuts, and stereotypes. These biases, stereotypes and shortcuts, cause us to think we’re doing the right things when we’re making decisions about design, or about our products, or about our pricing.

But in truth, we’re doing it wrong for our users. We take shortcuts. We’re not really connecting with what our users want. This whole method, the steps to conversion optimization, is designed to keep us from relying on our biases to make decisions.

The Importance of the Optimizer

When you’re optimizing, you play a really important role in the design process and in your company. You are the one who is double checking the assumptions that are being made. You are the one making sure that those assumptions are what our visitors and our customers want.

When you're optimizing, you play a really important role in the design process and in your company.

The optimizer plays a key role in the design process and in their company.

The Benefits of Conversion Optimization

An optimizer has many benefits. They save time. There’s nothing that wastes more time than launching a campaign, spending your marketing budget on that campaign and then not having it work. So, by doing a little extra work on the front end, collecting some data, you can make sure that your campaigns are going to be more successful so you don’t have to start over and relaunch them.

The Value of Data (and its many uses)

Data is a great way to deal with what we call helicopter executives, executives who feel that maybe the team isn’t making the right decisions. They feel that they have to come in and review your creative and your campaigns, making changes to what you’re doing. Of course, their assumptions are based on the same biases that anyone’s are.

If you are able to say, “Well, we have some data that says this is the best thing,” then they’re more likely to think, “OK, this makes sense. Go ahead.”

You’ve just removed one cook from the kitchen.

How a conversion optimizer should handle agencies and teams.

How a conversion optimizer should handle agencies and teams.

Oftentimes you’ll get creative from your agency and think, “Is this really effective creative?” Your agency may present you with options and ask you to choose. As an marketer, your answer should always be “I don’t know, go collect some data to find out which one of these ideas is most likely to be the best choice”. This should be the job of your agency’s experimenter. This is a powerful way to manage teams effectively.

Steps to Conversion Optimization: Gathering Good Competitor Ideas

We like to take ideas from our competitors and from other websites that we like, but we often steal bad ideas. Just because our competitors are using them doesn’t mean they’re working.

An optimizer wants to take ideas and test them before stealing them. At Conversion Sciences, we say, “Steal like a scientist.”

Digital Marketing Careers Require Experimentation

If I haven’t made the point abundantly clear, people with the skills of an optimizer are very valuable. And right now these skills are hard to find and expensive. In a few years, these skills are going to be absolutely required. So, if you don’t have these skills, you’re not going to be able to work in premiere digital marketing roles, in digital product management, or run a business that requires the web to succeed.

Experimenters Can Take More Chances

As a conversion optimizer, you can take more chances because you know how to create experiments that allow you to be more creative.

Experimenters take these really creative ideas that would otherwise sound risky, find a way to collect some data, and then understand whether or not that idea is actually going to improve things. You also avoid implementing a bad idea. We call this a “design insurance”.

You don’t have to always play it safe with your campaigns. You can come up with crazy ideas and experiment before you actually launch and take all of the risk.

Being able to take more risks, a CRO expert can get more leads, more sales, and lower acquisition costs.

Being able to take more risks, a CRO expert can get more leads, more sales, and lower acquisition costs.

And, of course, you get more leads, you get more sales, you lower your acquisition costs, you grow your business.

That’s what most people want from their conversion optimizer. But conversion optimizers are so much more valuable.

My day deals almost exclusively with ideas. Ideas for how to improve a website, ideas for how to improve a customer’s journey, ideas for what kind of content we should be putting on the page, ideas for how we should discount, ideas for how we should lay out a page. Ideas for what we should be doing and advertising. For almost anything that’s going to be seen or experienced by the user, there are ideas for improving it.

How to Find the Right Ideas: good reasons to kill ideas

I’m going to walk you through the process of figuring out which ideas are the right ideas.

When we first start with a client, we go through their website and perform an analysis. This includes an analysis of  their existing data. We come up with a very long list of what looks like really good ideas for improving the conversion rate.

Our job is to kill some of those ideas and get them off the list so that we can move on to the ones that are good ideas. In fact, the scientific method that I use on a daily basis is designed around this.

The job of an experimenter is to come up with ideas and then find out why that idea is wrong. When you test a hypothesis, you are actually testing against the null hypothesis trying to prove that idea won’t improve things. If you can’t, despite trying everything, then you’ve got a winner.

So, what are the good reasons to kill ideas? We evaluate ideas based on these criteria. Is there a reason that we should keep this idea on the list?

Reasons to Kill an Idea

1. That’s a lot of work

Some ideas require too much work to test and implement. We might say the website needs to be redesigned. That’s very risky because it changes everything. And so we’ll often just pull that idea out right away.

Ironically, this is the way most website redesign is done. 90% of the market is still redesigning websites this way.

They start by hiring a creative agency or bringing in a creative team. That team does a little research at the beginning of the process, and then they make all sorts of design changes based on that research. Then, they push it all out and hope that they made the right choices.

That’s very risky, and so full-scale redesigns don’t stay on our list very long.

2. It’s too small of an idea

Some ideas just aren’t that impactful. For instance, if we had an idea to change something in the footer of a page, we can tell from our heatmap reports that few visitors are seeing the footer area. We would say that’s too small of an idea. It doesn’t have enough of an impact and we’ll drop it from the list.

Likewise, changing the color of a button or changing the font of our headings are low-impact changes. We tend to just get rid of these ideas.

3. No one is seeing it

There are pages on your site that are important to the customer’s journey, but not a lot of visitors are visiting it.

For example, sometimes FAQ pages can be really important to our visitor’s journey. If we had a hypothesis that said we’re going to change the order of FAQ questions, but we looked in analytics and saw that few visitors were actually visiting the FAQ page, we would say it’s probably not a good thing to test.

On the other hand, few people are seeing the checkout process on an ecommerce website, but those visitors are in the process of buying. In this case, we want to keep checkout ideas at the top of our list.

4. I don’t have any data on it

For each idea on my list, I have to ask myself, “Can I find some data on this idea.” This is the question we ask ourselves over and over and over. If I can’t find data on an idea, or I can’t generate data on that idea, then it’s not a testable idea.

A good example might be things on a website that encourage people to visit a physical store. There are technologies to track this cross-channel behavior, but it’s very expensive technology. Even if we have really good ideas about how to drive more people to the brick and mortar store, we really don’t have a way of collecting success data related to that idea. So, that would be something that we would eliminate because we don’t have the data.

Steps of Conversion Optimization: Gather Existing Data

Let’s talk about sources of data. Once we’ve gone through our list, we’ve got things on it which we think are good ideas. We think they are easy to implement or can be implemented in a reasonable amount of time. We think people are visiting those pages, and we think we can find some data on them.

One of the first places I like to look when I’m building a landing page are the client’s paid search ads.

Steps of Conversion Optimization: Gather Existing Data.

Steps of Conversion Optimization: Gather Existing Data.

Using this made-up example for the U.S. Mint — that’s the part of the US government that prints money — let’s pretend that they’re offering 50% off dollar bills.

Now, you might think this is a crazy offer, better than anything you have. But the truth is that we all have an amazing offer: a great product or service that’s priced right. It saves time. It saves money. It solves a problem. Yet, you still have trouble converting people. Well, don’t be too discouraged, because the U.S. Mint would have trouble giving a dollar bill away for 50 cents.

Go to your paid search team or your advertising team and ask them for a spreadsheet with the last six months or a year’s history of ads.

  • How many impressions they generated
  • How many interactions they generated
  • How many conversions they generated

Go through the data and look for those ads that had a lot of impressions or more importantly, had a lot of impressions AND conversions.

If we look at the third one in our example above, we see it has an interaction rate of 2.8%. That seems like the highest rate, but it was only 37 interactions. This sample size is a little bit too small for us to have confidence in. I’m more interested in those that have 612 or 943 conversions.

It seems that “50% off dollars for a limited time” has a better conversion rate than “Dollar Bills: Buy one, get one.” When I write copy for my landing page, I’m going to favor language that includes “50% off”.

I would not be as excited about “Discounted Dollar Bills” because it had a 0.3% conversion rate and a high enough number of interactions that we can believe that this data is probably accurate.

You see how I can use our ads to understand which words, which headlines, I should be using in my landing pages and in my copy. It’s on my list.

Social media Ad Performance and Conversion Data

We can do this with social media as well. For instance, if we want to put a video on the landing page or video on our homepage, video ads can help us understand what people are interested in.

Use a tool like Ahrefs or SEMrush to look at our competitors’ ads. Find out what words they’re using and if they have a lot of keywords that they’re using.

Previous Email Campaigns Data

Email campaigns are another great source of data. I looked at the subject lines for emails that Conversion Sciences sends. We send emails for new blog posts all the time. I wanted to know which subjects — which titles of our blog posts — were getting the most clicks. I took six months of data and I ranked it based on their click through rate.

Previous email campaigns data: email subject performance.

Previous email campaigns data: email subject performance.

Looking at the top ten, we see “writing”, “copywriting”, “persuasion”, “value proposition”, “persuade people”, and “business taglines”. My audience is interested in the words that influence conversions.

I was a little surprised, but we were able to use this data to produce a free copywriting report on how to write copy for conversion writing, and this converts very well for us.

Download these 21 quick and easy CRO copywriting hacks.

Download these 21 quick and easy CRO copywriting hacks.

In this case, the data really did point us in the right direction. The data created a hypothesis, an idea, and then gave us the data that said you should launch this. Then we used the conversion data, the number of leads that we’re generating on our website, as the final proof that this was a good idea.

Steps of Conversion Optimization: User Testing

Another step in conversion optimization is user testing. Everybody thinks that a conversion optimizer spends most of their time split testing. This is the best data we can generate, the best tools that we can use. But in truth, I want to gather data faster and doesn’t require me to use precious visitor traffic.

We only want the most important and best ideas to go to AB testing while using user testing to figure out which of my creative ideas is best.

Our user testing includes things like a 5-second study. A 5-second study works great when I have three or four different headlines and three or four different images that I want to consider for a landing page.

We’ll use a service like UsabilityHub or Helio and we’ll ask for 25 people to come and look at each of our mockups. The 5-second test works like this: test subjects get to see the mockup for five seconds and then it disappears.

But five seconds in the human brain is quite a long time. After the five seconds is up, we’ll ask questions like,

  • Does this business seem credible?
  • What do you think this business does?
  • Do you know what we were asking you to do?
  • Where would you click if you were going to take action?
  • Can you remember any of the bullets or any specific information on the page?

We can score these twenty five people in each of these areas. The image and headline combination that scored the best tells us that it’s probably the best idea.

We now have some data from real world people that is telling us which idea to take to an AB test. There might be a couple of these that score well. So, we want to take the two best ideas to an AB test, but it also means we don’t have to test the others and waste traffic on those.

There are a number of tests that you can use for user testing. Usability hub or Helio, offer a question test where the visitor gets to look at the page as long as they want and answer questions.

A first click test measures how quickly someone can find where they’re supposed to click based on the prompt that you give them. How many of them get it right in test layout or how clear the call to action is on your page.

User testing tools like UserZoom or UserTesting.com allow us to set up a scenario and ask the visitor, for instance, to go through and purchase on a website. We watch them as they try to complete the task. We see where they get confused, where they get tripped up. They’re talking out loud as they’re going through it.

You’re going to see issues in these user tests that you wouldn’t catch otherwise. It can be very enlightening. We can really learn quite a bit from that user testing videos.

More Data Sources: User Intelligence Tools & Reports

Another step of conversion optimization is to look through user intelligence reports. User intelligence is different from user testing.

User testing uses strangers and pretenders. These are people who aren’t actually trying to solve a problem, but we’re using them as a focus group to play with our creative and see how effective it is at communicating with human beings.

User intelligence tools are actually watching your visitors as they interact with your website.

Analytics has the most obvious user intelligence data. Google Analytics is a great behavioral database. It’s all the people who are coming to your website to try to solve a problem. It shows you where they landed, what channel brought them, what pages they visited, how long they were there, where they left, if they bought, how many of them bought, what their computer setup was, what browser they’re on — all of this information is in Google Analytics.

It’s a great database for asking questions. I probably spend at least 10 to 20 percent of every day in analytics, and if I’m working on an analysis, I’ll spend the entire day in analytics, it’s such a rich source of data.

The other thing we use is what are called heatmap reports. They tell us how far the visitors are scrolling when they visit a page, where their mouse is moving on a page, and where they’re clicking. These are great tools for answering specific questions about a page.

You don’t have to be a Ph.D. in science to understand them. If you can read a weather radar map, you can read a heat map.

Here is an example.

Heatmaps of a website page for golf resort in Hawaii.

Heatmaps of a website page for golf resort in Hawaii.

This is a resort in Hawaii, a golf resort. They assumed that since it’s a golf resort, people who are considering booking a room are going to be interested in golf.

On this page, which lists all their specials, they listed the golf specials at the top. When we went in and looked at where people were clicking on this page, we found out that “Free Breakfast” was most clicked item, even though free breakfast is down near the bottom of the page.

People don’t behave the way you think. What is the cost of breakfast? At this resort, it might be 40 or 50 bucks. If you’re going to save a couple of hundred dollars on golf, it would seem to be a better value, right? Not according to the visitors.

These are the sorts of insights that conversion optimizers love to find.

I also spend time watching session recordings. With session recordings you get to watch visitors as they’re working through your site. You see where their mouse is moving and what they’re clicking on. It takes a while, but you find things that you wouldn’t otherwise discover.

Session recording of golf rates page.

Session recording of golf rates page.

If you watch a bunch of these, you begin to understand what’s bothering your visitors. If I’ve got a specific idea that I’m trying to remove from the list, I’ll spend some time watching session recordings.

Sticky heatmap.

Sticky heatmap.

A more advanced conversion optimization strategy is running an eye tracking study. Now, this doesn’t work directly with your website, but you can bring people from your website if they’re willing to take a look. And it’s just amazing that this technology exists because eye-tracking studies used to be so hard.

Submit a mockup to a company called Tobii, and they’ll bring 25, 50, 100 people to look at it. They’ll record what the visitors see on the page using laptop cameras. Laptop cameras have such high resolution that we can tell where people’s eyes are looking on the screen.

We can see what people linger on, what ideas they like, what offers they like, and where there are images that stop them on the page. This information is really valuable if you’re trying to critique your page layout.

Gamification: AB Testing

The last thing that I spend time on is AB testing. Because if we’re going to take something to an AB test, as it’s the best data we can collect, we only want to take the best ideas. And it takes quite a bit of work to get AB test results.

Here is an example of one that we did. We worked with a company called Automatic and they had a plug that plugs into your car and connects your phone to your car’s computer. They came out with this new Pro version, but everybody was buying the Lite version.

Why wouldn’t people buy the Pro version? Sure, it’s more expensive, but it’s so much better. Maybe we’re not communicating how much better it is effectively.

We did a “Thank you” page popup survey asking, “What made you choose Lite instead of Pro?” We found out that people didn’t understand the value of the Pro features.

We created a version of the product page was simpler. It was a shorter list of features, and we only highlighted the things that were most different. This is something you should consider any time you’re offering multiple plans or products on a pricing page.

We designed an AB test. One half of the visitors saw the original page, which we call the Control. The other half saw our variation. The result was a 13% increase in conversion rate for our variation. We also saw an increase in revenue per visit because more people were buying the Pro version.

After A/B testing, we saw a 13% increase in conversion rate by removing information from the page.

A/B Testing: automatic pro vs lite.

This achieved exactly what we wanted. The data we collected during the AB test was very reliable, because these tests are designed to eliminate as much randomness as possible.

What are the Steps of Conversion Optimization Summary

If you are going to be a successful digital marketer, you are going to be an experimenter. Your ability to use the tools and data of the trade will determine your future in a data-driven marketing economy.

Can you send a daily email to a business-to-business email list? How often can I email my B2B list? Check out these 4 lessons learned.

One of my favorite conversion strategies is the second chance. The second chance only comes when I have a way to continue the conversation; to get someone to come back again and let me make my case again.

There is no better second chance channel than email.

When entrusted with an email address, and permission to continue the conversation, I have one, two, three or more chances to persuade a prospect to reconsider.

In a business-to-business situation — the considered purchase — in which a decision will be made over a period of weeks or months, email is a true friend. And if it is executed with respect, it is a friend to those struggling with a purchase decision.

The question is, how many second chances am I going to take?

Five Emails an Hour

I tell companies that they can send email as often as their content allows them.

I once got five emails from American Airlines within the space of an hour. Did I unsubscribe? Did I feel spammed? The emails were telling me the status of a flight I was booked on as its departure time and gate changed. The emails were completely relevant to my situation, and were welcome.

If we were to stand by our statement that businesses can send as often as their emails’ relevance allows, we need to understand the dynamics of a high-frequency email campaign.

How Often Can I Email my B2B List: An Email a Day Experiment

The goal of this experiment was to examine the following hypotheses:

  1. Sending email would outperform social media marketing.
  2. Sending frequent email would significantly increase my conversion rate.
  3. Sending frequently would cause an unacceptable number of my subscribers to unsubscribe.
  4. Sending frequent email would reduce my ability to deliver email due to spam reports.

a. The List

We chose a selection of 2000 names from my house list. This list consists of contacts made through personal interactions, meetings and consultations. It is primarily a business-to-business email list.

I would call the list a “semi-warm” list having received email from me only quarterly. This list had received emails on January 11 and April 30. The experiment began September 7.

Your list could easily be generated from social media traffic or search engine traffic.

b. The Content

Because of the frequent nature of these emails, it was important that they provide some value and be entertaining. This proved to be a significant challenge.

Each email followed the following formula:

  • A non-promotional subject line
  • Relevant copy
  • Link to relevant content online or registration for a live event
  • Offers varied, including an invitation to subscribe to my mailing list, registration for a live workshop and an invitation to a Webinar on writing for landing pages.

Subject lines included “Are you the victim of the Email Invisibility Ray?,” “Social Media: Marketing from my La-Z-Boy,” and “Why eight-year-olds beat me at Chess.”

3. The Frequency

Emails were sent daily, Tuesday through Friday for two consecutive weeks. Eight emails we sent in all.

High Frequency Email Campaign Test Results

1. Email Performance vs. Social Media

We’ve had relatively good luck using social media to drive traffic to my site. However, in Figure 1, you can see that the email resulted in significant increases in traffic, even outperforming our summer social media experiment.

How often can i email B2B list? Traffic sources overview: email effect on site traffic.

Figure 1 • Traffic sources overview: email effect on site traffic.

Hypothesis: “Sending email would outperform social media marketing.” True

One interesting note is the rise in search engine traffic at the time of the email. This underscores that click-through rate is only a partial measurement of email effectiveness.

2. Increased Conversion Rate

It is probably not surprising that sending email to a targeted list is going to result in more conversions. However, keep in mind that my social media networks are also quite well-targeted.

As expected, both conversions and conversion rates for new subscribers increased. We can also attribute thirteen (13) workshop registrations to this email series, generating almost $1300 in sales.

Just looking at new email subscribers, the conversion rate for our social media experiment were 2.5%. For the period of this email, conversion rates were 7.6%.

Email frequency's effect on conversion rate.

Figure 2 • Emails’ Effect on Conversion Rate.

Hypothesis: “Sending frequent email would significantly increase my conversion rate.” True

3. Opt-out Rates

This was the metric I was most interested in examining. How would unsubscribe rates change over the course of the experiment?

Email frequency effect on deliverability. Open rate, Click-through rate and Bounce Rate for each drop.

Figure 3 • Open rate, Click-through rate and Bounce Rate for each drop.

I consider an unsubscribe rate of 1% or less acceptable and expected in any email that asks the reader to take action. So, I got pretty nervous as unsubscribe rates rose to 3.2%, and stayed well above 1%. Over the course of the experiment, 15% of the list unsubscribed.

There are two ways to look at this:

  1. We lost 15% of our prospects.
  2. We identified the 85% of list members that are interested and qualified.

If my goal with this list was primarily to sell, I would consider the 15% loss to be acceptable and even desirable. This is called Shaping your list.

However, my goal is to evangelize conversion and to educate, so the opt-outs represents a pretty significant loss of reach.

From a brand perspective, there were very few negative comments, and many positive ones.

Given the opt-out rates, would I do this again. The answer is a resounding yes.

Hypothesis: “Sending frequently would cause an unacceptable number of my subscribers to unsubscribe.” False

4. The Effect on Deliverability

The other negative effect that frequent emails can have is an increase in spam reports.

For most service providers, deliverability is the inverse of the bounce rate. If my emails are reported as spam, we would see an increase in bounces. Intuitively, when shaping a list, you expect bounce rates to drop quickly as bouncing addresses are removed from the list.

For our experiment, the bounce rate began at 2.5% but quickly dropped, leveling at an imperceptible 0.06%.

One reader was kind enough to let me know that they had “spammed” my email. I used the site MXToolbox.com to see if my domain had been placed on any black lists. However, it would be our Email Service Provider (ESP) that took the hit if spam was reported. This is one big value of an ESP. They keep themselves – and you – off of black lists.

How often can i email B2B list? Effect on opt-out rates. Unsubscribe Rates for the Email Series.

Figure 4 • Unsubscribe Rates for the Email Series.

Another measure of reader interest is open rates.

Email service providers count the number of times a special image is downloaded to establish open rates. Since many people have images turned off in their email client, the open rate is not an accurate measure of actual opens.

However, I would interpret a steady drop in open rates as a sign that the list is becoming fatigued with my communications. Open rate can also be a good indicator of the quality of your subject line.

Open rates were relatively flat, dropping on Fridays.

Overall, I believe that few of my readers reported these emails as spam.

I attribute this positive outcome to the non-promotional nature of the copy, even though the emails were clearly promoting our email list, workshop and webinar.

Hypothesis: “Sending frequent email would reduce my ability to deliver email due to spam reports.” False

How Often Can I Email my B2B List Conclusions

With some simple analytics in place, we can pretty easily establish the ideal frequency of our email campaigns. Based on these results, we should be sending email more frequently. You will probably come to the same result. However, we tested a certain kind of email with this experiment; an email that is informational and entertaining as well as promotional. This style of email requires a bit more work and creativity on our part.

The payoff is quite clear.

Email is a more effective channel in a B2B sale than is social media. It is also a great way to get more out of your search engine and advertising traffic. When you get an email address, you get a second chance at the sale. And a third, fourth and fifth chance.

For the complete content of the emails sent during this experiment, and the results of some split tests conducted, visit.

Interested in setting up your own conversion marketing laboratory? Run your own secret science experiments? Brian Massey, the Conversion Scientist, will tell you how.

Sometimes it’s better to ask forgiveness than permission

Warning: this information will make you a more successful marketer, but may also put your immediate job in jeopardy.

To be a true hero, you must have two things:

  1. An arch nemesis
  2. A secret

Unfortunately for those of us in marketing, our nemesis is often the organization in which we work; that Dilbert inspired, plodding structure full of people that think they know how to market. Such a beast is often resistant to our most powerful weapons, such as positive results.

The best way to defeat such a daunting foe is through patience and stealth. As marketers, we must build our strength, our knowledge and our skills.

How to set up your conversion marketing laboratory.

How to set up your conversion marketing laboratory.

Your Secret Conversion Marketing Laboratory

I propose that you consider building your own secret conversion marketing laboratory, your own Xanadu. This is the place you go to explore new marketing strategies and ask questions that others may not have the guts to ask.

Questions like:

  • What if we used more copy on our landing pages?
  • What if we tried an interesting headline?
  • Would audio or video increase our conversion rates?
  • Will social media work in our business?

These are the questions that take time to sell internally, especially when you don’t have the data. These are the concepts that IT is designed to thwart. It’s time to unshackle yourself. Build your own conversion laboratory.

Rules of Engagement

Now, as heroes, we want to do good in the world. This means doing no harm to our organization’s brand. We don’t want to work against our organizations already plodding attempts to communicate.

We want to minimize cost – most of us aren’t Bruce Wayne – and maximize automation. This will make our time in the lab most productive.

I cover all of the guidelines in my Search Engine Land column Setting Up Your Own Conversion Lab, Part 1.

Why Do We Need A Conversion Marketing Laboratory?

Because conversion marketing is a momentum game. It requires trying things to find out what works best. It requires rapid question-test-analyze-question cycles. And sometimes we have to test unintuitive assumptions to understand our audience.

Without the lab, there are blocks to momentum.

IT has their gatekeepers that slow our testing cycles. Management wonders why we aren’t writing a press release or blog post.

While most marketing departments think they know best, our lab lets our visitors tell us what they want. This is powerful knowledge. There are some big wins to be found in the lab, especially at the beginning.

The Secret Conversion Laboratory

Your secret conversion lab should be set up with a few best practices to be successful.

Consistent measurement trumps accurate measurement. Conversion marketing means making decisions based on data. Analytics provide that data.

We aren’t interested in an analytics implementation that is accurate down to the visitor. Instead, we want analytics that are sufficiently correlated to reality.

This is scientist-speak for “when things change, our measurement changes by about the same amount.” When more people visit, our metric “visits” goes up by about the same percentage. It mirrors reality.

Don’t waste your precious time trying to get accuracy in measurement. Good enough is good enough.

Most analytics systems are easy to set up, or are competently integrated into most of the online services you’ll be using in your lab.

Equipment cost must be “under the expense line”. The secret lab is, by design, not going to be a budget line item. That defeats the purpose.

Instead, you need to select tools that are free or cheap enough to purchase and implement without going through the budget process. They need to be expensible.

Avoid IT obstacles. The equipment you use in your conversion lab must not require IT resources to set up and use. IT is too often a bottleneck.

We will be selecting tools that almost any marketer can use. With a little practice and some training videos, you will be able to implement almost any test you can imagine.

It should be highly automated. We must get our marketing duties done with excellence, so our conversion lab can’t take a large chunk of our precious time. If you’re off in the lab for hours at a time, people will begin to wonder. It draws attention.

We will be looking for tools that automate the lab, and solutions that collect and aggregate data for us.

Your efforts should not harm the live web site. Our goal is to become better at marketing for our companies. As such, we should do no harm. Our lab should not:

  • Violate company brand guidelines
  • Compete with corporate sites on the search engines
  • Take significant financial chances
  • Violate compliance requirements in regulated industries
  • Circumvent or disregard your company’s privacy and permission policies

Basically, we want to do small tests, learning things we can use to help the company sell more and dominate online.

Beakers, Bunsen Burners and Mass Spectrometers

We are fortunate to have many of the tools needed in our lab available for free or at low cost.

You will need tools to:

  • Create and host content of many types.
  • Put measurement equipment in place
  • Heat up your experiments with traffic sources
  • Select the right content management system to host your experiments

Cape and tights are not required

It may be tempting the done a hero’s uniform once you begin to feel the power of what you learn in your lab. Honestly, It’s best to stay under the radar.

Let us know which tools you find in your lab in the comments, and please share any interesting results you get from your experiments.

Read on if you are interested in learning how to build your own conversion optimization team or contact us for a free consultation.

Originally published on the Search Engine Journal

Discover how AI marketing tools truly work and find the answer to the question: Can they really increase your website’s conversion rates?

Do you know how machine learning is impacting conversion rate optimization for marketers? We all know what the acronym “AI” stands for: “As If”. Data scientists are telling us that by using AI, they’ll will be able to create a predictive model of the visitors to your website that will tell you exactly who is ready to buy.

I say, “As if.”

We may marvel that such things can be done, but we also recognize that these things require a great deal of data and the skills of some serious brainiacs to get a machine to tell us something we don’t already know.

The truth is, you are probably already using “AI”, or more accurately, machine learning in your marketing. It’s hiding in the tools we use, like monsters under our bed. Machine learning and the more sciencey-sounding AI will change the way you take products to market, but your human mind will still be needed and loved.

Unless you resist – “as if.”

 

Augmenting Our Brains: AI-powered conversion optimization

Things like AI-driven predictive models are exciting, because our job as marketers is to predict the future. We’re like that exotic fortune teller gazing into an empty tea cup or a crystal ball.

We say things like, “If you give me a budget, I’ll generate six times that amount in revenue.” This is is like saying, “If you put a chicken foot under your pillow, you will find true love.” As if.

But this is what we do, and the data on which we base our predictions is often no more valid than the layout of tea leaves at the bottom of a cup. Our brains are wired to find patterns in anything, even when a pattern isn’t really there.

If I came into your office and said, “The last three leads we generated were all visiting the website using a Firefox browser,” your brain would jump to the conclusion, “If I can get more Firefox users to visit our website, I’ll generate tons of leads.”

Do AI marketing tools impact your website conversion rates?

Do AI marketing tools impact your website conversion rates?

Purveyors of AI, or more accurately Machine Learning (ML), would tell us that the machine doesn’t make mistakes like this. Our 100% genuine intelligence just doesn’t stack up to their Artificial Intelligence.

The problem is that machines will make exactly the same mistake if we don’t give them lots of data.

Just as machines need data, we know that we need more data before we start an ad campaign targeting Firefox users. We’ll ask our analytics person to pull together all website visits for the last year, and calculate the conversion rate for each. This increases the size of our dataset from three to many.

If this analysis goes the way of most analyses, we’ll find that there’s not a meaningful difference in conversion rates among browsers. Most experiments end up being inconclusive. That’s just the way it is.

In this scenario, we “wasted” an hour of our data scientist’s time, an hour of our time, and another twenty minutes explaining to our boss why we were so unproductive today.

“What if,” the AI crowd says, “you could get a machine to sort through your data looking for clues and figuring out who’s more likely buy. You don’t have to waste your time. Let the machine do it.”

This is an exciting proposition. The machine wouldn’t just look at the browser. It would look at the time of day, day of week, and week of the year that visitors converted. It could consider the device being used, screen size and operating system. It could add in the source of the visit, the number of times a visitor has been to the website, and whether the visitor has bought before.

After crunching through all of your analytics data, the machine would give you a percentage chance that the next visitor to your website will convert. And here comes a person with a Safari browser on a Mac computer at 3:30pm EST on a warm Tuesday afternoon who’s never been to the site before.

The machine might spit out, “There is a 51% chance this person will complete the lead form.” Actually, the machine will just say, “0.51”. Machines are so boring.

It’s amazing that a machine can so accurately predict a human being’s behavior. This is incredible.

But, is 51% good? And if this is true, what should my website do differently to make this Safari visitor more likely to buy? Do I reduce the price by 49%? Do I flatter this visitor for being above average? Do I ignore them?

This is “the rub” with machine learning. The machine can’t tell us what to do with the data it gives us. There are systems that will tell us if a visitor is “at the top of the funnel” or “in the consideration phase.” Still, what do we do with that? A price-sensitive buyer may want to see a discount when “at the top” of their purchase process. A relational buyer may not care about discounts until they’re “at the bottom,” ready to buy.

The machine won’t tell us, “Target Internet Explorer visitors coming late at night on a Windows computer during the springtime months with a picture of a cat.” It spits out the probability for each visit: “0.51, 0.34, 0.71, 0.92”.

Wait! A 92% probability? Is that important!? Well, no. They’re probably going to buy no matter what we do. “As if.”

AI-Driven Results

Scoring customers in a customer relationship management (CRM) platform has required that marketers hand-code the algorithm. We decide which actions indicate that a prospect is moving closer to buying. We decide how to value each action. It can work, but it isn’t rocket science – or AI.

Alternatively, we can dump sales data into a machine learning algorithm and let it calculate the probability that each prospect will turn into a customer. The sales force can focus on those high-probability clients and disregard the low-scoring leads. It’s using past performance to predict the future, and should be more accurate than arbitrary assignment of values to actions.

This is how machine learning is entering your life as a marketer.

AI Conversion Rate Optimization: Can AI Marketing Tools Increase Your Website’s Conversion Rates?

Amazon famously introduced product suggestions to the eCommerce world. “People who bought this also bought that and that and that.”

It’s not an easy problem to solve. There are a lot of variables to crunch and it has to be done quickly. This is a prime area for AI.

Mailchimp launched a similar tool to add product suggestions to the emails of its eCommerce clients. Every time you send an email to someone, Mailchimp will include a few product suggestions at the bottom of the email. The machine learning algorithm will compute the probability that one or more products will appeal to a subscriber, based on the behavior of all email recipients. Those products with the highest probability get added to the email. This prompts the visitor to buy.

As if.

It’s hard to know how well the machine has learned what your visitors buy collectively. This is the limitation of AI. We can’t really see what is inside the box. All we get is a number.

If you implement a suggestion engine on your website, we recommend running an A/B test to measure its effectiveness. This is done by adding the “Also bought” suggestions for half the visitors and hiding it for the other half. This will give us some conclusive data about how the suggestion AI is performing. Is it increasing the order size on average, or reducing it?

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Seven risk reversal tactics to increase B2B lead generation and the quality of your prospect list you can steal.

Even in B2B lead generation, you can “reverse” the perceived risk of completing a form. Risk reversal tactics are an important part of conversion rate optimization.

There are lots of reasons that someone wouldn’t fill out your lead form, even if your white paper, podcast or webinar are free.

  • “I’m going to get a sales call”
  • “I’m going to get a bunch of spam”
  • “I may not be able to join the Webinar”
  • “They’re asking for too much information”
  • “I don’t really know this company”

Well, even in business-to-business lead generation, you can “reverse” the perceived risk of completing a form.

“Hey, you. Yes, you. Come here. You wanna white paper? Well, I have a deal for you. All you gotta do is give me your contact info. Hey, you got nothin’ to worry about. I’ll take real good care of the information. Honest.”

I’ve been studying the landing page techniques of what I call “The Bad Boys of Conversion.” These marketers, often called “affiliate marketers” or “infopreneurs” get high conversion rates for everything from get-rich-quick systems to health supplements.

My goal is to understand how the well-tested tactics they use could be applied to more conservative business sites.

One of the most important techniques used by these marketers is “risk reversal.” Money-back guarantees are perhaps the most common form of risk reversal. Are these tactics useful for business-to-business lead generation?

Absolutely, but a different kind of risk reversal is in order.

Risk Reversal Tactics do work on Business professionals

Business professionals respond to the same incentives that consumers do. However, consumers are risking their money, while businesspeople may be risking their reputation, and their decisions could affect their jobs. This makes business prospects more risk averse.

Thus, using risk reversal strategies becomes even more important in a B2B transaction.

You can significantly increase both your conversion rates and the quality of your prospect list by using some of these risk reversal tactics on your lead generation pages.

7 Risk Reversal Tactics For B2B Lead Generation

7 Risk Reversal Tactics For B2B Lead Generation

Remove the risk up front

Make your white paper, webinar, or video free. Before you say, “Lead generation content is always free,” keep in mind that your prospect is “paying” for the content with their contact information. To them, it isn’t exactly free, and the decision to give you their contact information is similar to the decision to spend money.

Here are some ways to remove risk up front.

1.Don’t ask for contact information.

If you have a piece of content that really nails your value and generates qualified calls give the content away. There is no risk to the prospect, and broader readership can be expected.

Removing risky fields can also lower the “cost.” Fields that increase the cost of lead generation content include address, phone and many qualifying fields. Do you need their address? Do you need to know their marketing budget, really? These risky fields can decrease your conversion rates.

Ask for only the information that you need to qualify and contact them, and eliminate all the rest.

2.Make your forms optional

This allows the prospect to select the level of risk they are willing to accept.

Completed forms will indicate better qualified prospects, prospects that already have a level of trust with your brand. Partially completed forms, less so. Empty form submissions indicate prospects that you may not want to waste time on anyway.

3.Emphasize respect of privacy

On your landing page, best place to put risk reversal is near the submit button (but it shouldn’t ever say “submit”).

The simple phrase, “We respect your privacy” communicates two things: first, that you have a privacy policy, and second, that privacy is important, and you’re not likely to abuse this information, or give it to inbox-clogging spammers.

It is common to make the word “privacy” a link to your privacy policy, but that may not be wise. In his excellent book “Always Be Testing: The Complete Guide to Google website Optimizer”, Bryan Eisenberg recommends testing this. The link takes an interested visitor away from the landing page, and this may decrease conversion rates.

4.Ask for opt-in, not opt-out

If you’re asking a prospect to sign up for email communication, you should explicitly ask for permission. You may feel that this is implied when someone provides their information to you, but any uncertainty increases risk.

Tell the prospect can they can expect and let them opt-in by checking a box. This is an opportunity to sell your email communication.

“Check this box for occasional tips and best practices by email on widget use.”

or

“Subscribe to “Widget News,” the authoritative email newsletter on widgets and their application.”

Allow opt-out at any time. Let prospects who are signing up for email communication know that you will be offering opportunities to opt-out of the email with each communication.

“You can unsubscribe at any time.”

You can use any specifics from your privacy policy, such as “we do not tolerate spam,” and “Your information is digitally encrypted.”

5.Spell it out

Transparency is a great risk reverser. Tell them on the page what will happen when they click the “Get your report” button.

“You will be taken to a page that contains a link to the report. You will also receive an email asking you to confirm your email address. We don’t tolerate spam. Based on your input, a respectful sales person may call, and this is your opportunity to ask any questions about widget use in your organization.”

This risk reversal tactic will lower your conversion rates, but should result in a better-qualified list.

You should also tell them what they won’t get. “No one will call” is a common risk reversal phrase. Of course, this limits what you can do with your house list, and you should be sure to adhere to any limitations you promise.

6.Add risk and then remove it

On the scales of a decision you have risk balanced against value. If your landing page does a good job of building the value of your offer, you will find prospects more willing to take risk, and complete the form.

One great way to communicate value is by setting a price. Consider charging for your content. Then offer a money-back guarantee to reverse risk. No questions asked.

Does this sound like raising the prices in a store just so the owner can run a sale? Yes it does. But our goal is to communicate value—not to boost our profit.

This strategy will reduce conversion rates, but it will deliver highly-qualified prospects.

For example, charging for a product trial—a common lead generation offer—will often ultimately deliver more paying customers than a free trial, even though it reduces the number of people who try the product. Since we’re not really trying to make money on the offer, we won’t be concerned about those who request a refund just to get free content. We should all have content worth stealing.

7.Always deliver on your promises

These risk reversal tactics have two edges. If you fail to deliver on your risk reversal promises, you are damaging your brand and losing potential customers.

You must be able to support your risk reversal claims. You must enforce your privacy policy internally. Don’t email prospects if they opt-out, and don’t let a salesperson call someone on your list if you promised you wouldn’t.

Above all, deliver the content that they “bought” with their contact info and their attention.

I use a unique email address for every site I provide personal information. When I get spam, I check the address to which the email was sent, and that tells me who’s been stealing my contact information. With services such as OtherInBox, more professionals are using this technique. It’s more and more likely that you will get caught, and your brand will suffer.

You don’t want to join the “bad boy” marketers, do you?

In general, you can reverse risk by

  • Telling prospect how you will treat their data
  • Telling prospects what to expect if they complete the form

This article was first published in my Search Engine Land column.

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