"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.
Enterprise-grade infrastructure from day one.
Powers our AI email generation engine. Each message is crafted by a foundation model with full customer context — never a template.
Serverless crawlers scan breaking news and external signals in real time, surfacing context that makes each recovery message feel timely and relevant.
Stores and processes all crawled data at scale, cost-efficiently. Every customer signal is captured and made available to the personalization engine.
PostgreSQL-backed relational store that manages the customer databases of the companies we serve — with enterprise-grade security and reliability.
Delivers hyper-personalized emails reliably, at any volume. Paired with WhatsApp and in-app channels, every message reaches customers where they actually are.
"We chose AWS because our clients' data demands enterprise-grade reliability, and Amazon Bedrock gives us the AI foundation to personalize at scale."
Recognized among the top fintech solutions at the hackathon, competing against dozens of teams.
Selected by Rappi — Latin America's leading super-app — as the standout project in customer retention.
Full working product, AI pipeline, and pitch — shipped in a single weekend. We move fast and it shows.
Retenelo was born at a hackathon and immediately recognized by industry leaders. External validation before a single dollar of revenue — that's the foundation we're building on.
Ready to stop losing customers you could have saved?
Email us directly
contact@retenelo.com
We respond to every inquiry within 24 hours.
Whether you're a subscription business looking to reduce churn, an investor,
or a potential AWS Activate sponsor — we'd love to hear from you.