Why You Should Spend Some of Your PPC Budget on a Conversion Optimizer

Let’s be honest; Brian is a bit biased on this subject. After all, he’s not just a conversion optimizer, he’s THE Conversion Scientist. But that doesn’t mean he isn’t right.

If you are currently spending money on a PPC campaign, there is no reason not to use a part of that budget to bring in a conversion optimizer.

PPC is all about conversion; how many people are seeing the ad, and how many clicked. What if you could spend the exact same amount of money on PPC and, with just a few tweaks from a conversion optimizer, you could increase the number of clicks without paying for larger volume (and less qualified) traffic?

By focusing on Average Order Value and Revenue Per Click instead of just Conversion Rate, a conversion optimizer can help you make sure your PPC budget is being spent wisely and giving you maximum sales for your money.

Read Brian’s entire article on Search Engine Land.

  • Agree with the points you made above Brian. Quite insightful.

  • VoiceTranscribing

    Thanks for the article Brian. Yes, more and more of our clients use our transcription service http://voicetranscribing.com to transcribe their podcasts, webinars, interviews and generate content for blog posts.

  • Hi Kristi,

    I can respond with a lengthy comment, arguing the futility and wastefulness in running A/A or A/A/B etc. test, but I’ve already done an article on that back in 2014, so I’ll just share that: http://blog.analytics-toolkit.com/2014/aa-aab-aabb-tests-cro/ If you’d like to check it out and, hopefully, respond to it I think it will be beneficial for the readers of this blog.

    Kind Regards
    Georgi

    • Thanks, Georgiev. When you have a test setup that spans multiple domains, servers and security features, an A/A test is critical. We have been saved by A/A tests. In response to your excellent article I ask, “Which is more wasteful: Running a series of A/A tests or running a series of A/B tests that result in the wrong decisions?” The latter can impact sales for months or years.

      • Sounds like an unusually complicated test setup there, Brian. What kind of problems did those many A/A tests reveal? Randomization issues? User experience uniformity issues? Statistical engine issues? I’m just thinking there has to be a better way to detect & debug most of these, but the statistical engine ones…

        • We never really found the smoking gun, but we suspected cookie persistence issues, iframe security delays, page load times, etc. We redesigned the approach and verified the setup with an A/A test.

  • nrennie

    Thanks for removing my comments @bmassey:disqus.

    Surely constructive criticism is part of making things better, and excluding a market leader from your “Top tools” was exactly this?

    So my valid point was why not include Maxymiser? It’s a huge gap in your post.

    • Cut the sarcasm, @nrennie. It’s never appropriate. You commented on the wrong post here. I assume you meant to post on “The Most Recommended AB Testing Tools by Leading Experts”. I’ll reply to your comment there, but we didn’t list Maxymiser because nobody recommended it. Our team used it for one client and found it lacking on several key features.