PrediktSales flags customers with declining usage, missed visits, payment issues, or reduced activity 60–90 days before they cancel, so your team knows who to contact first.
Get a free retention consultNo software to install · Built on your data · Runs on AWS
Get the same customer insights Fortune 500 companies use — at a fraction of the cost.
Most SMBs find out a customer left when the next invoice goes unpaid.
5–7× — what it costs to win a new customer versus keeping one you already have.
Most small businesses already have warning signs in their CRM, billing, visit, attendance, or transaction data. The problem is that those signals are usually not organized into a scheduled action list.
Catch measurable signals such as reduced usage, missed visits, failed payments, lower purchase frequency, and declining engagement.
A prioritized list showing which customers to contact first, the risk score, and the reason each account was flagged.
Retention outreach is cheaper than replacement acquisition. The goal is to reduce preventable cancellations before revenue is lost.
Point us at what you already have — POS, CRM, billing, or attendance records. CSV, Parquet, or live data sources. Nothing new to install.
We handle the heavy lifting and deploy a secure predictive model built around your historical business signals. Your data never leaves your control.
Receive scheduled customer risk reports showing cancellation risk, priority accounts, and the measurable reason each customer was flagged.
Built natively on AWS. Every system is architected, deployed, and secured by an engineer holding four AWS certifications including Solutions Architect Associate and Machine Learning Engineer Associate. Can also run inside your own AWS account.
The same predictive models, analytics, and AWS infrastructure can be applied across other areas of your business.
Trained on your data, not a generic template. Delivered in 3–5 business days from when we receive your data.
Confirm prediction is the right tool for your business.
We map your data, define what customer loss looks like in your business, and prepare it for modeling. No CRM changes needed.
Built using your historical customer data to identify which customers are most likely to stop buying or disengage.
Top customers ranked by risk, with the specific reasons each one was flagged. See an example →
Visualize how your customer cohorts retain over time. See an example →
We walk you through the findings, hand off the list, and answer questions.
Tell us a little about your business. We’ll review your data and show you what’s possible — no obligation.