Customer and persona research for ecommerce ads

Most ads run out of things to say long before the product runs out of buyers. Customer research fixes that by finding out who actually buys from you, why, and in what words, so every new ad has a real reason to exist.

Who is this for?

Ecommerce brands running paid social who are hitting one of these points:

• Creative is fatiguing and the new ads look a lot like the old ones.
• Performance has plateaued and the account needs new directions, not just more of the same.
• You’re scaling and need to reach people beyond the ones who already know your product.
• You’re launching a new product and need to know who it’s for before the ads get made.

Why does customer research matter for your ads?

Since Meta’s Andromeda update, ads that look similar get grouped together. Twenty versions of the same static isn’t really twenty ads, it’s closer to one. And in a consolidated account with broad targeting, the ads themselves do the targeting.

That means the brands that scale are the ones with genuinely different messages for genuinely different people. You can’t get there by guessing. You get there by knowing every type of buyer you have, and building ads for each of them. We cover how that works in practice in our guides to scaling Meta ads on a small budget and Meta ads structure for subscription brands.

What do we research?

We use AI to dig through what your customers are already saying, and we give customer voice more weight than competitor page copy:

• Your reviews, split by product and rating.
• Reddit, searching both how people choose a product in your category and the problems that send them looking in the first place.
• Social comments on your posts and in your category.
• Amazon listings and reviews, for an outside view of what buyers like and complain about.
• Competitor ads, taken from their own pages in the Meta Ad Library.
• Your ad account and sales data, to see what’s already running and which products carry the business.

How does the research process work?

Every build follows the same steps, adjusted for your products, markets and the data you have.

1. Agree the shape. We confirm your markets, product scope and the data available before any research starts.
2. Mine the customer voice. Reviews, Reddit, social comments and Amazon, tagged by theme, with verbatim quotes kept against every finding.
3. Map the competition. What competitors are saying, which messages are crowded, and which are empty.
4. Audit your ad account. We review your top ads from the actual creative, not file names, and use spend as the signal of what Meta is backing.
5. Build the personas. We generate a long list, rank it on the gaps nobody is filling, sales weight and how often each type comes up, then agree the priority slate with you.
6. Write hooks and plan formats. Starter hooks for each persona, spread across the four buying stages (trigger, exploration, evaluation and purchase), and a plan for which formats to make for each.

What do you get?

A persona map you can brief from: who each buyer is, what they care about, the language they use, their objections, starter hooks, and the ad formats to test for them. Alongside it sits the account audit and the competitor teardown, so you can see where the gaps are.

It isn’t a document that sits in a folder. We refresh it as you grow and launch new products, and as ads go live we log the results back in, so the research keeps getting sharper.

How does the research turn into ads?

Research turns into briefs, and briefs turn into ads. Each brief names the persona, the buying stage, the hook and the format, and our creative production team makes it. The ads then go into testing on Meta and the other channels we run, and what wins tells us which personas to go deeper on. The same research also shapes the copy on landing pages built for ad traffic.

What results have brands seen?

For Bondi Meal Prep, a Sydney meal delivery brand, we ran a full persona analysis on all the reasons people buy, then built every batch of ads around those personas. Each month we produce a new library of static ads, each built around a specific type of customer and message. Monthly revenue has tripled since we started, with monthly revenue from new customers up 5x.

How is working with Nuver different?

• Evidence first. What we test comes from what real customers have said, not from a brainstorm.
• No invented quotes. Any customer language in an ad comes from a real review or comment.
• Built by the people running your ads. The research isn’t handed off to someone else. It shapes the creative, the testing and the budget calls we make every day.
• You won’t have to chase us. We reply within one business day.