Scrape Amazon Reviews.Turn Them Into Ideal Customer Personas.

When I was a seller I always wanted to be able to talk to my potential customers before i do a/b tests instead of guess-working their reactions.

When I make a change in my tittle/descriptions/pictures ,I want to have some kind of idea which direction my customers would react in advance.

+ This has to be an iterative process I want to be able to ask them an unlimited number of polls 24/7 that was not a single test & done.

Pickfu costing 100$ for a single test was not really an option for me.

So here's what you can do instead if you have a lot of Asins & a/b tests to do:

i)Get millions of Asins reviews using amazon review scraper: https://lnkd.in/exAADRHd

ii)Detect which ones are fake & real of these reviews

iii)Create 1000s of ideal customer personas from real reviewers for ANY asin

(this was little complicated I involved other datapoints.I did not want to just use the review text that would not indicate a lot about customer persona.)

iv)Create polls & see how would this virtual 1000s of ideal customers react.

See from results which optimization change your customer personas would react the most.

Talk To Us

Aggregators/ppc softwares/agencies who already have data teams here's documentation email me info@asgardata.com to get a private api key to test our amazon data scrapers for SERP ranks/Asins buybox,reviews,prices..