AI for Customer Retention

Your users are telling you why they'll churn. Are you listening?

We build custom AI models and agents that help your team catch at-risk customers early, understand what's driving churn, and act on it before they cancel.

97%
Revenue prediction accuracy
5–25%
Revenue lost to churn on average
5x
Cheaper to retain than acquire
3 wks
Time to first working AI model

You have a CRM, an ERP, and plenty of reports. You're still losing customers.

The data is there. The problem is that your tools tell you what already happened, not what's about to. By the time a customer shows up in your churn report, that conversation is already over.

We help you see it coming, weeks earlier.

Works with your existing tools

H
HubSpot
Z
Zoho
O
Odoo
SF
Salesforce
P
Pipedrive
+ your stack
BEFORECustomer cancels, you find out after
AFTERRisk detected weeks before they cancel
BEFORECSM reviews every account manually
AFTERAI shows you the 8 that need attention today
BEFOREProduct data with no real context
AFTERFull picture: usage, billing, company, history
BEFOREOutreach based on gut feeling
AFTERRight message, right account, right time

What We Build

Everything is built for your specific setup. No generic dashboards, no one-size-fits-all tools.

Churn Prediction

We build models trained on your own data that score every account by churn risk. Your CS team stops reviewing everything and focuses on the customers who actually need help.

  • Risk scores updated in real time
  • Early warning alerts
  • Cohort analysis by segment

Data Enrichment

Product events alone rarely tell the full story. We pull in data from your CRM, ERP, support tools, and external sources so you know who each customer is, not just what they clicked.

  • Company and role data
  • Usage and billing history
  • Customer health scoring

AI Customer Success Agents

Custom AI agents that watch your accounts, flag the ones at risk, and draft the outreach your team needs to send. Less firefighting, more actual customer relationships.

  • Automated risk alerts
  • Personalized outreach drafts
  • Slack and CRM integrations

Analytics Intelligence (MetAgent)

Ask your database a question in plain English and get back an answer with a chart. No SQL, no waiting for an analyst. Your whole team gets access to the data they need.

  • Natural language queries
  • Metabase and Slack integration
  • Charts generated automatically
EnrichDetectAct

How It Works

From your current data to a working AI system in weeks, not months.

01
Enrich

Build a real picture of each customer

We connect your product data with external sources so every account has full context. Company size, usage history, billing status, support tickets. All in one place.

02
Detect

Spot churn risk weeks before it happens

We train models on your specific data that flag accounts before they cancel. Not generic benchmarks. Models built around how your customers actually use your product.

03
Act

Let AI handle the follow-up

AI agents send the right message to the right account at the right time. Your team focuses on the conversations that need a real person, not the ones that can be automated.

What our clients say

Real feedback from teams we've worked with.

Before Churnless, we were measuring our cohorts wrong. Thanks to their work we were able to create, measure, and correlate cohorts with different user segments. It helped us take real decisions to improve our product and predict revenue with 97% accuracy.

Santiago Rojas
CTO at Foody

Thanks to Churnless we have a solid data structure on which we built our AI algorithms, specifically the recommendation engine that drives our core product.

Juan Pablo Mejía
CTO at RebusTech

The work from this team helped us build a real data culture inside our organization and bring data science concepts to audiences who had never worked with them before.

Rene Guerrero
Innovation Leader at SENA

Want to know what your data is telling you?

Book a free 30-minute call. We'll look at your current setup together and give you an honest read on what's possible. No pitch, just a real conversation.

Book a Free Call

From the Lab

How we think about AI, data, and keeping customers.

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AIR: K-Nearest Neighbors
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AIR: K-Nearest Neighbors

Using KNN to find the optimal price for an Airbnb in Medellín. A real investment decision made with data.

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Optimizing our Delivery Process with Data Science
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Optimizing Delivery with Data Science

40% of our orders were underfunded at the cashier. Here's how we fixed it with quantile regression at Mercadoni.

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