◼️ Testing Your Creatives With Synthetic Audiences


This Issue's TLDR...

  • How to split test using synthetic audiences
  • Amazon is copying Google's homework, again
  • Why you need to master Open Loops

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SPONSOR

Superfuel

On July 27 Amazon rewrites your product title for you.

Whether you asked or not.

It does a clean, accurate job. It just can't see which of your words were making you money.

Real listing above. The number 1 keyword, 13,000 searches a month, missing from the title.

"China-Like Look" gone entirely... and nobody invents that at a desk. You only get it from reading reviews.

That's half the problem. The other half: after the 27th your sales move for a dozen reasons at once, so proving the title caused anything is its own job.

My buddy Ben's team at Superfuel has an agent that does both. It writes the title from that data, then measures what it did to sales.

Free on 5 to 10 ASINs, pay only once it's driven measured sales.

BEST From Me

I presented to Helium 10's Elite community this week. The recording is exclusive to that community, but for all of you, my wonderful Best@Amazon readers, here's my Maximizing Image I.M.P.A.C.T. on Amazon slide deck.

In the Q&A to my presentation, the topic of market research and split testing came up, and I talked about how it's actually possible to use AI to build synthetic audiences and test your creatives based on that.

Of course, I received A LOT of questions on this topic.

I mentioned that I previously authored a step-by-step explainer on using AI to create synthetic audiences.

So, to make the lives of all my new readers easier, here is that post, again:

***

Look, I know that I talked last week about why you shouldn't try to predict the future, and instead you should position yourself to win, in multiple futures.

I stand by that.

But, the reality is that prediction is necessary in this Amazon and eCommerce world that we all live in.

Fortunately, we have some great third-party tools (e.g., PickFu, Intellivy, ProductPinion) to predict, based on data.

These market research tools all come with a cost though.

What if you can't afford that cost? Or, what if you're just...cheap scrappy?

Well, good news.

Because a group of BIG BRAINED research scientists tested, and proved, that you can replicate the results of human polls/surveys using LLMs and "synthetic audiences."

How exactly can you do this?

You're going to need to run a series of prompts, which I'll lay out for you below.

If you really want to scale this to large samples (e.g., n=1000), you're going to want to use the Gemini Batch API. Honestly, just ask Gemini to walk you through how to do that.

Step 1: Upload Your Assets

Start a new chat with Gemini 1.5 Flash. Upload the two product images you want to test.

Label them clearly in the chat as "Image A" and "Image B" so the model doesn't get confused.

Step 2: The "Mass Persona" Prompt

Instead of doing one persona at a time, you will ask Gemini to generate the audience and simulate their reactions in one go.

Prompt 1: Audience Generation & Initial Reaction

Temperature: 0.8 (NOTE: Make this higher if you want more diverse responses)
​
"I have uploaded two product images. I want to run a synthetic audience test with n=100 diverse consumers.
​
Step 1: Generate a list of 100 diverse consumer personas (Name, Age, Estimated Income, Primary Shopping Value). Ensure the distribution matches [Your Target Market, e.g., US fitness enthusiasts and nutritional supplement users].
​
Step 2: For each persona, simulate their internal thought process as they look at Image A and Image B.
​
Step 3: Have each persona pick a winner and write one sentence explaining why. Be highly critical. These consumers should only choose a product if it truly resonates with their values.
​
Format the output as a numbered list from 1 to 100."

Step 3: The "Aggregator" Prompt

Once Gemini finishes the long list (it might pause; if so, just type "Continue"), you need to turn that wall of text into usable data.

Prompt 2: Quantitative Summary

"Now, acting as a lead market researcher, analyze the 100 persona responses above. Provide:
​
The Final Score: Total 'wins' for Image A vs. Image B.
​
​Sentiment Drivers: What were the top 3 visual elements that made people choose the winner?
​
​Segment Analysis: Did a specific age group or 'shopping value' (e.g., budget vs. luxury) lean more toward one image?​
​
The Recommendation:
Based on this synthetic test, which image should I use for my main ad campaign?"

A Couple Refinements...

You might want to dial in to your specific consumer persona with more specificity. Here's a prompt refinement to do that:

The Specific Persona Refinement

Copy and paste this prompt, filling in the bracketed info for your specific brand.

Prompt: "Generate a list of 100 highly specific, diverse consumer personas for a market research study. For each persona, provide a JSON object with the following fields:
​
Demographics:
Name, Age (between [Range]), Primary Transportation.
​Lifestyle: Amazon Prime Member (Yes/No), Pet Owner (Yes/No), Diet (e.g., Keto, Vegan, Standard), Exercise Frequency.
​Consumer Habits: Nutritional Supplement Use (Daily/Occasional/None), Beer Consumption (Frequency/Type), Interest in Cooking (1-10).
​Aesthetics: Cosmetics & Body Care Habits (e.g., Minimalist, Luxury, Medical-grade).
​Psychographics: One core hobby and their #1 priority when buying [Product Category].
​
Ensure the group represents a realistic cross-section of [Specific Target Market, e.g., Suburban Professionals]."

Or, you might want to make the consumer responses more raw and real. Use this refinement:

The "Critical Persona" Refinement

To avoid the "Politeness Bias" (where LLMs tend to say both images look "nice"), add this System Instruction before you start the simulation:

The Critical Filter: "In this simulation, do not be an agreeable assistant. Act as a discerning, skeptical consumer with a limited budget. You are tired and bombarded by ads. You will only choose a product if the image immediately solves a problem or aligns perfectly with your lifestyle. If an image looks 'cheap,' 'cluttered,' or 'fake,' you must call it out. Use a 1-5 'Hard No to Hard Yes' scale."

SPONSOR

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It costs you nothing. But ignoring it? That could cost you thousands.

P.S. I posted a long article about TrueOps a little while back, and they've already found more than $130,000 for the people that signed up, and most (if not all) already had auditors. It’s seriously a no-brainer.

BEST from LinkedIn

TLDR - Amazon Ads continues to follow in the footsteps of Google, this time, introducing a new, beta feature that essentially Google PMax.

Thanks, Mansour!

BEST from X

Have you heard of Knockoff??

If you haven't go read this tweet, and then download the Chrome extension.

As of today, over 11 million have seen it, and over 100k have downloaded it.



BEST from X [BONUS]

For a couple years now, I've been screaming that Amazon sellers need to evolve from Performance Advertisers to Direct Response Marketers.

Your ad creative -- both visual content and messaging -- will be more important than ever, and your ads need to hook potential customers in the first 3 seconds (or less).

This demands an acute understand of human psychology, and what stops the scroll.

Start here:

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Brian Blum
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Best @ Amazon

I'm a former Amazon marketplace leader and current 8-figure seller. I write about advanced strategies and tactics for Amazon brands, that you won't read about anywhere else. Not for beginners.

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