We put 90 days of your ads next to thousands of real customer reviews and run the numbers, then prove the gaps with real stats. You'll see exactly who you're missing.
Most research is someone reading reviews and writing a persona. Nobody checks if that persona is 30% of your market or three loud people. We check.
"Sarah, 34, busy mum, loves wellness." Sample size unknown. Confidence none.
2,134 people describe chronic pain. That is 14.3% of all customer voice, proven at p < 0.001. Only 3 live ads speak to them.
A 17-part questionnaire covers your product truths, objections, claims and the rules every script follows.
| 1 | Brand Onboarding & Information | |
| 2 | Please fill out this form so our team can deeply understand your brand, product, customers, and positioning. | |
| 3 | Questions | Response |
| 4 | Brand Differentiation & Positioning | |
| 5 | What makes your brand unique in the market?(Products, mission, values, innovation, unique approach.) | |
| 6 | Key Product Truths | |
| 7 | What are 2 to 3 things you wish everyone knew about your product? | |
| 8 | Customer Objections | |
| 9 | What stops people from buying?(Price, trust, results, fit.) | |
We pull 90 days of your Meta ads, transcribe each one, and tag it by avatar, angle, hook and format.
| Format | Spend | Share | ROAS |
|---|---|---|---|
| Founder talking head | $295K | 48% | 2.18× |
| UGC testimonial | $137K | 22% | 2.04× |
| Static image | $42K | 7% | 2.29× |
| 3D animation | $37K | 6% | 2.09× |
One format carried half the budget. Ads under $1,000 or 3× CPA in spend count as untested, not failed.
Every insight needs a word-for-word quote and a source link, or it does not make the report. Your own customers count three times as much as the wider category.
Your customers (3×): site reviews, surveys, ad comments, Amazon.
Your category (1×): Reddit, competitor Amazon, Trustpilot, YouTube, Instagram, TikTok, Threads.
Our models group all the comments, insights and reviews by meaning, then test every angle for statistical significance. Only proven angles earn an ad.
"Cannot sleep" and "up all night" count as the same need.
Clustering finds the real buyer groups in the data.
Each angle gets a p-value, corrected for running 74 tests at once.
Every share comes with a confidence range.
Six views from one real diagnosis. Hover any chart for the numbers.
Real figures from a recent diagnosis in the sleep and recovery category. Brand details removed.
Every proven angle is matched against your spend. Each gap gets a type, and the list is ranked by how much proven demand you are missing.
| Avatar → Angle | Demand | Spend | Gap | Move |
|---|---|---|---|---|
| Inflamed → surgery recovery | Core · 414 | Near zero | Missing | Build a recovery angle |
| Chronic pain → arthritis, back | Solid · 983 | 0.7% | Severe | Scale pain angles |
| Skeptic → "show me studies" | Core · 1,088 | 5% | Under | Proof formats |
| Practical buyer → "fits my bed?" | Core · 1,549 | Covered | Matched | Keep running |
| Durability proof | Low | 64% | Over | Cut spend |
The account spent 64% of its budget selling to people already sold, while 44% of customers were still at the problem stage.
Find the gaps.
Turn gaps into a ranked roadmap.
New ads every week.
Read results, plan the next batch.
Thirty minutes on your account and your category. You'll leave with a direction either way.
Book A Diagnosis CallNo. It is paid, fixed-scope work. You keep the report and plan either way.
Two to three weeks, including a live walkthrough.
Ad account access, survey data if you have it, and your reviews. We gather the rest.
Maybe not, and we will tell you upfront.
We are not creating AI summaries of the data. Everything, from gathering the data to finding the insights, comes from Ecom Bench's own data models and analysis techniques.
Yes. Every avatar is tied to a specific product, never averaged across the range.
No. If you do, it becomes the roadmap for every ad we make.
