"Es simple: entendelo, Retenelo."
Retenelo detects at-risk customers and sends hyper-personalized AI messages — via email, WhatsApp, or in-app notification — when traditional retention methods have already failed.
Your existing tools weren't designed for the moment that matters most.
One-size-fits-all re-engagement campaigns average under 2% response rates. Customers can spot a template the moment they open it.
By the time churn appears in your dashboard, the customer has already decided to leave. Reactive retention is expensive and rarely works.
Customers don't always tell you why they're leaving — but the signals are already out there. Most teams have no system to catch them.
A fully automated pipeline from signal to personalized outreach.
AWS Lambda crawlers scan breaking news, industry events, and external signals that are relevant to each at-risk customer — so every message is timed to the moment.
The ML pipeline clusters the customer (KMeans), classifies the decline code, and picks the right incentive from verified inventory. Amazon Bedrock gets one job: how to say it.
The right message reaches the right customer at the right moment — via email, WhatsApp, or an in-app notification (like a Rappi pop-up) — before the decision to leave becomes final.
A 7-step ML pipeline purpose-built for the Argentine market.
Each failed payment triggers clustering.py — a trained KMeans model that assigns the customer to a behavioral profile. Tone, incentive, and timing adapt per cluster.
Every failure hits decline_codes.json: Code 51 → retry after payday. Codes 41/43 → never retry, alternate channel. Payway's 15-attempt cap enforced automatically.
salary_calendar.py syncs every retry to Argentine payday windows: quincena, month-end, ANSES by DNI, aguinaldo spikes. We reach customers when they have money.
Price, terms, and offer come from catalogo.json — determined by code, never by the LLM. Bedrock only writes the message. Retenelo cannot invent a price.
No name, no address, no DNI — ever. The pipeline runs on usage history, age, and neighborhood zone only. Compliant with Ley 25.326 from day one.
Real examples for a book-subscription client. Notice what's missing: any mention of a payment problem.
Triggered by a news crawl — AWS Lambda
Triggered by reading history — KMeans cluster
7 de tus últimas 9 lecturas fueron policiales argentinos. Armamos una caja especial para vos:
Actualizá tus datos de pago hoy y la caja sale con 20% off.
Quiero mi caja policial
Neither message mentions a failed payment — only a personal reason to stay.
Titles, prices, and discounts come from verified inventory (catalogo.json);
Bedrock only writes the words.
Enterprise-grade infrastructure from day one.
Writes every recovery message with full customer context — never a template.
Serverless crawlers scan breaking news and external signals in real time.
Stores every crawled signal at scale, cost-efficiently, ready for the personalization engine.
PostgreSQL layer for our clients' customer databases, with enterprise-grade security.
Delivers personalized email at any volume, alongside WhatsApp and in-app channels.
"We chose AWS because our clients' data demands enterprise-grade reliability, and Amazon Bedrock gives us the AI foundation to personalize at scale."
Among the top fintech solutions, competing against dozens of teams.
Selected by Rappi — Latin America's leading super-app.
Working product, AI pipeline, and pitch — shipped in one weekend.
Born at a hackathon. Recognized by industry leaders before a single dollar of revenue.
Ready to stop losing customers you could have saved?
Email us directly
contacto@retenelo.com ✓ Copied to clipboard
We respond to every inquiry within 24 hours.
Subscription business, investor, or AWS partner — we'd love to hear from you.
