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Recapture Thousands of Lost Revenue with Featrix

Featrix Retail Analytics builds customer retention models that let you run targeted outreach.

"We recaptured $15,000 of sales who had stopped visiting our stores with the first campaign we ran from Featrix results."

- President, Brick & Mortar Retailer

How Featrix Retail Analytics Works: AI-Powered Retention

Step 1: Build Retention Model

Load your POS (Point Of Sale) data, and Featrix constructs a retention model that predict who’s at risk. The embedding space that Featrix trains on your POS data captures specific behaviors of customers who are "at risk" and who have churned.

Step 2: Run a campaign

Using lists provided by the retention model, you run a campaign targeting at-risk customers. 

You don’t have to commit any spend until validating the effectiveness of the retention model: Featrix will uncover your leading revenue customers who have stopped buying and provide you the amount of dollars that those customers represent. 

Step 3: Track and Improve

Upload new sales results and Featrix can tell you how effective the campaign is. We will iteratively improve your retention model for even better results!

 
 
 

Why Choose Featrix?

$0 to get started

Sign up and load your POS data for free. We'll process it and tell you how many customers at currently at-risk and how many have churned recently. You can then decide if you want to pay to get the lists of customers.

Enrich with data that’s actually useful

Easy to use

We get it--You didn't start your business to learn how to use a bunch of new software. Leave the hard stuff to us.

Personalized Targeting Made Simple

Track your campaigns

Just tell us when you ran a campaign and who you emailed or sent a birthday card to, and we'll update our model--and let you measure your campaign's success, no matter what tools you are using.

Discovery and Naming of Groupings

Works with any POS System

Shopify, Toast--there's a ton of systems out there. You upload your data and we'll figure it out. We just need the transactions and product descriptions and we'll take it from there.

What's next?

How do we recommend you actually get started?

If you're looking for the technical underpinnings of this offering, our blog on churn prediction expands on how embeddings and LLM have transformed churn prediction.

If you don't know anything about predictive analytics, our Getting Started page provides you a basic introduction.

How can we help?

Reach out via hello@featrix.ai or schedule time to meet with a developer on our team.