Customer review analytics, that drives action.

Customer review analytics is the structured analysis of customer reviews to reveal, attribute by attribute, what is driving satisfaction, returns and repeat purchase, across a whole catalogue rather than one review at a time.

What it covers

Customer review analytics reads reviews across marketplaces and your own store and turns them into scored attributes. It answers concrete questions, which aspect is losing us sales, which SKU is about to drop below four stars, what do buyers of the competitor complain about that we get right.

The method

The core method is aspect based sentiment analysis applied across the corpus, with the attributes tuned to the category. Acquink layers on provenance, every claim traces to real sentences, and confidence tiering, so a low evidence signal is never presented as a certainty.

Outcomes it enables

• Protect ratings and search visibility by catching the aspect problem early
• Reduce returns by fixing the specific attribute behind them
• Sharpen the roadmap using competitor weaknesses customers describe
• Lift conversion by answering the shopper's real doubt on the product page

How Acquink does it

On the MASI engine, Acquink analyses reviews at aspect level across 150 plus categories and 1,600 plus attributes, and makes the result available to internal teams through Smaartbrand and to shoppers through Smaartpulse.

Frequently asked questions