UNSUPERVISED FOR RETENTION
Your Cheat Code for Better LTV
Get More Revenue,
Not More Work
Grow revenue and LTV from already existing customers with automated segmentation discovery for campaigns.
Be First to the Party
Introducing First Party Lookalikes, lookalike segments based on your KPIs for customer retention and activation.
Ingest data from multiple sources without writing a single line of code or spending time on data prep.
Ready for When the Cookies Crumble
Your best customers are in your first-party data. Unsupervised uses a different kind of AI to segment customer lists most likely to outperform against LTV metrics by testing thousands of hypotheses. Stop guessing who to include in your campaigns.
Grow Your List of Best Customers
Acquisition got harder, so marketers doubled down on retention and activation. But finding segments for campaigns is time consuming.
Not anymore. Unsupervised ingests your first-party data, finds your best performing customers, and surfaces lookalikes to expand those segments.
Pay Back That CAC
Turn already acquired leads and customers into higher revenue, AOV and LTV. Export your expanded customer segments directly into your campaigns to grow revenue per session.
These aren't pre-canned predictive lists. They're mapped to your KPIs and customer attributes.
Built for Your Workflows
Unsupervised for Retention is purpose built to match eCommerce processes. Data ingestion is effortless, segment discovery is automated, and everything is written in simple language.
Improve tests and campaign performance without using code or deep diving into raw data.
Marketers are beating expectations and exceeding their KPIs within months of implementing Unsupervised.
Unsupervised customers have realized $250 million in data-backed opportunities
One brand grew revenue by
A customer improved AOV by 13% using Unsupervised.
How it works
AI that does the heavy lifting
Unsupervised for Retention is surprisingly easy to use and integrate into existing campaign workflows. Read our 3-step process for how to use it here.
Paul Lanham, CIO/CTO