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Beyond Data: How ChatGPT Uncovers Emotions to Fuel Effective Ad Concepts with Joe Putnam [Podcast]

Ecommerce CRO

Emotions drive conversions โ€” and in this episode of Intended Consequences, Brian Massey sits down with Joe Putnam, founder of Conversion Engine, to explore how top-performing ecommerce brands are using AI CRO strategies to scale faster, test better, and connect more deeply with their customers.

Youโ€™ll hear how Joeโ€™s team analyzes customer reviews at scale to uncover emotional triggers, how they test ad angles that competitors often miss, and why a โ€œboots that hurtโ€ campaign might not be the golden angle you think it is.

photos of Brian Massey and guest Joe Putnam

๐ŸŽง Listen to the full episode here:

https://media.blubrry.com/customercreationequation/dts.podtrac.com/redirect.mp3/traffic.libsyn.com/secure/intendedconsequences/050_-_Beyond_Data_How_ChatGPT_Uncovers_Emotions_to_Fuel_Effective_Ad_Concepts_with_Joe_Putnam.mp3

Podcast: Play in new window | Download


Ready to improve your ecommerce siteโ€™s performance? Learn more about Conversion Scienceโ€™s fully-managed Ecommerce Optimization Services.


Why Emotions Still Win in Marketing (Even for Practical Products)

โ€œPeople buy with emotion and justify with logic,โ€ Joe explains โ€” and itโ€™s not just for luxury brands like BMW.

From cowboy boots to baby products, emotional triggers like trust, belonging, pride, and joy show up in customer language all the time. Even in seemingly utilitarian products like closet storage or bathroom scales, people make decisions based on how they feel about the product, not just what it does.

The key is knowing which emotional buttons to push, and thatโ€™s where AI CRO strategies come into play.

Finding Emotional Patterns

Sentiment analysis is the process of identifying the emotions behind the words people use โ€” especially in product reviews, support tickets, and social comments.

Traditionally, marketers had to manually scan hundreds of reviews to pick up on these emotional patterns. Today, Joeโ€™s team uses ChatGPT and other AI tools to streamline this process:

โ€œWe copy and paste hundreds of reviews into ChatGPT and ask it to do an emotional sentiment analysis,โ€ Joe says. โ€œWhat problems are being solved? What are people feeling? What language are they using?โ€

AI CRO strategies like this quickly surface pain points, unique selling propositions, and emotional value statements that can power ad copy, email campaigns, and landing pages.

Building an Emotional Connection

Once the team has pulled emotional themes from the reviews, they organize them into distinct messaging angles โ€” each one reflecting a different emotional trigger. These angles might include:

  • Trust & security: โ€œI know these will last. Worth every penny.โ€
  • Belonging: โ€œI feel like Iโ€™m part of a community.โ€
  • Confidence: โ€œI walk taller when I wear these boots.โ€
  • Joy & reward: โ€œI bought these for myself as a gift. It felt amazing.โ€

Instead of just running ads that say, โ€œTired of boots that hurt?โ€ over and over, Joeโ€™s team builds multiple ads targeting different emotional angles. Then, they let the data reveal which message resonates most with the brandโ€™s audience.

Takeaway: Youโ€™re probably underutilizing your customer reviews. With the right prompt, AI can uncover 3โ€“5 powerful emotional angles you may have never tested.

Does AI-led Sentiment Analysis Work for All Products?

Yes, even for โ€œboringโ€ or utilitarian products. Joe explains:

โ€œWhether you’re selling cowboy boots or closet storage, youโ€™re always trying to tap into emotion. It might be fear, trust, anxiety, or satisfaction. But emotion is there. And when you find the right one, your results improve.โ€

Some products might lean into pride or aspiration. Others might connect through relief or peace of mind. In every case, the emotional experience is as important as the feature set.

Why AI Doesnโ€™t Replace the Marketer

Letโ€™s be clear: AI isnโ€™t doing the job for you โ€” itโ€™s helping you do your job better.

Joe emphasizes that AI CRO strategies are a shortcut to better ideas, not a replacement for judgment:

โ€œYou still need human intelligence to decide which angles are worth testing, which copy resonates, and which ideas are off-brand. AI gives us more clay to mold โ€” but we still have to be the sculptor.โ€

AI may generate seven ad angles. But maybe only two of them are good. With a trained marketing team, you can spot the winners, test them faster, and scale what works.

Additional Reading: How to Seamlessly Integrate AI Marketing Into Your Strategy

The Role of Landing Pages in Emotional Alignment

The best ads in the world can fail if the landing page doesnโ€™t match the emotional promise.

One mistake Joe often sees: sending all ad traffic to the same product listing or category page, regardless of the adโ€™s message.

Instead, he recommends:

  • Creating custom landing pages for different ad angles.
  • Reinforcing the same emotional message from ad to landing page.
  • Using customer language throughout the copy and CTA.

โ€œIf the ad is about personal pride or reward, make sure the landing page reflects that. That emotional consistency is what drives higher conversions.โ€

Mistakes to Avoid with AI and CRO

While AI can be powerful, itโ€™s not infallible. Joe warns of a few key pitfalls:

โŒ Mistake 1: Believing Every Insight is Gold

Not every insight generated by AI deserves to be tested. Use your experience and brand knowledge to filter the noise.

โŒ Mistake 2: Ignoring the Landing Page

Even strong ads will underperform if the landing page doesnโ€™t deliver on the emotional promise of the creative.

โŒ Mistake 3: Over-engineering Prompts

You donโ€™t need โ€œprompt engineeringโ€ skills to make this work. Start simple:

โ€œConduct emotional sentiment analysis on these reviews.โ€

Let the AI do the heavy lifting โ€” then dig deeper based on what it returns.

Quickstart Guide: How to Use AI in Your Ecommerce Ad Strategy

If you want to try this for your brand, hereโ€™s a simple way to get started:

  1. Collect Reviews โ€“ Grab 100โ€“200 reviews from your product pages or Amazon listings.
  2. Drop into ChatGPT (or your AI of choice) โ€“ Use a prompt like, โ€œAnalyze these for emotional sentiment. What feelings are customers expressing? What problems are they solving? What language repeats?โ€
  3. Extract Emotional Angles โ€“ Look for clusters: trust, pride, satisfaction, relief, identity, etc.
  4. Translate into Messaging Pillars โ€“ Create 3โ€“5 core messaging angles that represent your productโ€™s emotional impact.
  5. Test in Ads and Landing Pages โ€“ Build multiple creatives โ€” each aligned with a different pillar โ€” and track which one drives the most engagement and conversions.

Final Thoughts: Emotions Scale. AI Speeds It Up.

The secret to ecommerce success isnโ€™t just in your product specs. Itโ€™s in the emotional response you trigger. And now, thanks to AI, you can discover those responses faster than ever.

As Joe Putnam puts it:

โ€œAI doesnโ€™t give you the final product. But it gets you 80% of the way there โ€” and helps you uncover ideas you wouldnโ€™t find on your own.โ€

Want help turning sentiment analysis into high-converting campaigns?  ๐Ÿ”ฌ Talk to a Conversion Scientist

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Brian Massey
Brian Massey
Conversion Scientistโ„ข at Conversion Sciences
Brian Massey is the Founder and Conversion Scientistโ„ข at Conversion Sciences, a sought-after international speaker, and author of Your Customer Creation Equation. He is passionate about transforming websites through a steady diet of visitor profiling, purposeful content, analytics, and AB testing.

Expertise: conversion rate optimization, AB testing, marketing strategy, digital marketing, analytics, landing page design, computer programming, entrepreneurship

Speaking: IBM, Inbound, LeadsCon, Content Marketing World, Affiliate Summit, and more

Books and Training: Your Conversion Creation Equation, Video CRO, Marketing Videos that Convert, CRO Best Practices

As Seen On: ClickZ, Search Engine Land, Marketing Land, Conversion Sciences Blog, Intended Consequences podcast

Education: Texas A&M University, BS Computer Science and Management
Brian Massey
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