This Issue's TLDR...
π Did someone forward you this newsletter? First of all, give them a crisp high five when you see them. Second, head over here to subscribe and read past issues. And, be sure to read my most popular issue ever: 15 Cool Hacks For Your Amazon Business.
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... 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" PromptInstead 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)
β "I have uploaded two product images. I want to run a synthetic audience test with n=100 diverse consumers.
β
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].
β
Step 2: For each persona, simulate their internal thought process as they look at Image A and Image B.
β
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.
β
Format the output as a numbered list from 1 to 100."
Step 3: The "Aggregator" PromptOnce 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:
β
The Final Score: Total 'wins' for Image A vs. Image B.
β βSentiment Drivers: What were the top 3 visual elements that made people choose the winner? β βSegment Analysis: Did a specific age group or 'shopping value' (e.g., budget vs. luxury) lean more toward one image?β β 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 RefinementCopy 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:
β
Demographics: Name, Age (between [Range]), Primary Transportation. βLifestyle: Amazon Prime Member (Yes/No), Pet Owner (Yes/No), Diet (e.g., Keto, Vegan, Standard), Exercise Frequency. βConsumer Habits: Nutritional Supplement Use (Daily/Occasional/None), Beer Consumption (Frequency/Type), Interest in Cooking (1-10). βAesthetics: Cosmetics & Body Care Habits (e.g., Minimalist, Luxury, Medical-grade). βPsychographics: One core hobby and their #1 priority when buying [Product Category]. β
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" RefinementTo 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." BEST from LinkedInTLDR - 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 XHave 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:
|
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.
This Issue's TLDR... Measuring whether your product title change actually helped or hurt you Is Carbon6...back?? A new way that Bad Actors are exploiting IP abuse reporting on Amazon π Did someone forward you this newsletter? First of all, give them a crisp high five when you see them. Second, head over here to subscribe and read past issues. And, be sure to read my most popular issue ever: 15 Cool Hacks For Your Amazon Business. HIRE MY AGENCY ($$$) SPONSOR BEST@AMAZON ($$) GET AMAZON ADVICE...
This Issue's TLDR... Two main image hack from major brands that you should (maybe) copy The Frequently Returned Item badge now sucks even more A better way to spend your PPC budget this Prime Day π Did someone forward you this newsletter? First of all, give them a crisp high five when you see them. Second, head over here to subscribe and read past issues. And, be sure to read my most popular issue ever: 15 Cool Hacks For Your Amazon Business. HIRE MY AGENCY ($$$) SPONSOR BEST@AMAZON ($$) GET...
This Issue's TLDR... How to design your packaging, and adjust your main image, if you sell a better-for-you food product Ocean freight rates are going parabolic Congress and the FTC don't like Amazon's shenanigans π Did someone forward you this newsletter? First of all, give them a crisp high five when you see them. Second, head over here to subscribe and read past issues. And, be sure to read my most popular issue ever: 15 Cool Hacks For Your Amazon Business. **PROGRAMMING NOTE: Over the...