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Review miner

Your best ad copy was already written by your customers, scattered across their reviews. Paste them in and get the real desires, the words they keep repeating, and hooks in their voice.

What it pulls out

One desire from a run on reviews of a fresh dog food brand, with the driver and language underneath it.

Desire · Mealtime stops being a standoff (Common)

Driver · guilt about an aging, picky dog walking away from the bowl every night

In their words · “She's 11 and picky, and for the first time in years she's waiting by the bowl.”

Hot words · “picky”, “finally”, “actually eats”

Why reviews beat brainstorming

Review mining is the practice of reading customer reviews systematically to extract the desires, fears and exact language that make ads convert. When a team brainstorms angles instead, it starts from the product: the features, the ingredients, the things that took months to build. Customers don't think in features. They think in the frustration they had on a Tuesday before they found you. So every brainstormed angle is a guess about what that frustration was, and you pay real money to test each guess. Reviews are the market answering the question for free, in writing, unprompted. The angle that wins your first three seconds is usually sitting in there already.

The useful trick is separating the surface desire from the driver underneath. A customer writes “I wanted more energy in the afternoon” and that's the surface. Keep reading and the same review says they were scared of losing their edge to younger colleagues, and that's the driver. The surface desire tells you what to promise. The driver tells you why anyone clicks. Ads built only on the surface sound like every competitor; ads that touch the driver feel like the brand read your mind.

One more thing the tool surfaces on purpose: repetition. When the same word shows up across independent reviews from strangers, that's signal, not coincidence. Your job is to carry that exact language from the ad through to the landing page, so the promise that earned the click is the first thing the visitor reads after it. Adside's market intelligence tracks this kind of language at the category level, but the version in your own reviews is the one nobody else can copy.

Review mining questions, answered

Read for repetition. One review saying "finally" is a person; fifteen independent reviews saying "finally" is a market that's been failed by everything it tried before, and that's an angle. Look for the outcome customers describe getting, the feeling in their life before they got it, and the exact words they use for both. This tool does that pass for you and returns the ranked desires, the repeated words, and hooks built from them.

Review mining is reading customer reviews systematically to extract marketing language and motivations instead of guessing at them. Customers state what they wanted, what they were afraid of, and what surprised them, all in their own words. Those words convert better than anything a brainstorm produces because the rest of the market thinks in the same vocabulary.

Ten short reviews is the floor and it works, but patterns get reliable around 30 to 50. The tool marks each desire as Common, Frequent or Occasional so you can see how solid the signal is. If the sample is too thin to call something a pattern, it says so instead of inventing one.

Yes, and you probably should. Public reviews on Amazon, app stores, Trustpilot or G2 for a competing product describe the same desires your buyers have, plus the gaps the competitor leaves open. Mining a competitor's 3-star reviews is one of the fastest ways to find an angle they can't credibly run.

No. The pasted text is processed in memory to produce the analysis and never written to a database, logged, or used for training. Close the tab and it’s gone.

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Review mining that runs itself

Adside does this continuously across every client's reviews and their competitors', then feeds the language straight into briefs, hooks and creatives. New angles surface while you sleep.