Stop guessing who will buy again. Predict their future value.
We use Machine Learning models to identify which customers are about to abandon you (Churn) and which ones will generate 80% of your revenue (LTV). Act before it happens, not when you've already lost them.
Encrypted, private predictive infrastructure.
The hidden cost of losing customers in silence
Treating every customer the same is destroying your margins and driving up your CAC:
You spend fortunes acquiring customers who buy once and vanish forever.
You find out a key account left when they've already gone 3 months without ordering. By then it's too late.
You spend the same retention budget (discounts, calls) on an unprofitable customer as on a VIP.
Your ad platform algorithms are optimized to bring in cheap volume, not long-term quality.
Modelado Predictivo
Data science applied directly to the heart of your revenue.
LTV Modeling
We mathematically predict how much a customer will spend over the next 12, 24 and 36 months, based on the hidden patterns in their first purchase.
Early Churn Warning
The algorithm picks up micro-patterns (falling purchase frequency, inactivity) and flags which customers are at critical risk of leaving, weeks before it happens.
Injection into Growth Ops
We don't leave the data sitting in a report. We push your high-LTV profiles into your ad platforms so the algorithms go hunting for exact clones of your best customers.
We don't hand you a spreadsheet; we wire the prediction into your operation.
Reading probabilities off a static PDF is useless in the real world. As business operators, we pull the information out of your e-commerce or CRM and run the machine learning model on our servers to automate the response.
If a VIP customer hits an 85% churn probability, we automatically fire an alert to your sales team or an SMS with an aggressive discount. Immediate action, no human intervention.
"Understanding the data precisely enough to align our logistics with an e-commerce ecosystem was vital to scaling and generating $10M USD in revenue."
The impact of getting ahead of what's coming
Reduction in CAC
Retention of Customers at Critical Risk
Your business stops being reactive
Frequently Asked Questions about Predictive Modeling
Do you know who your most profitable customers will be next year?
20% of your customers will generate 80% of your future profit. If you don't know who they are today, you're losing money.