Most businesses already have the data they need. We turn it into a weekly or monthly priority list your team can act on.
PrediktSales works best when your business already has customer activity, billing, sales, attendance, or CRM data — but no easy way to spot who's slipping away before it shows up in revenue.
We start by mapping your current workflow — where leads come in, how customers are tracked, where things fall through the cracks. No assumptions.
We connect to what you already use — CRM exports, spreadsheets, forms, scheduling systems, support logs, billing data, or existing cloud services. No new tooling required. No ripping and replacing.
Your historical data tells a story most owners never get to read. We use it to spot the early warning signals — the customers who slow down before they cancel, the leads that convert faster, the patterns that predict trouble. Built on AWS SageMaker.
We show what the model predicts on data it has not seen before, then walk through the factors driving each prediction. You see the customer names, the risk scores, and the reasons. No black box.
Predictions only matter if they trigger action. You get weekly or monthly priority lists delivered where your team already works — email, dashboard, CRM, or report. No new tools to learn.
Before applying the workflow to a business, we validate the process on established datasets. Below is a live XGBoost model, trained on the IBM Telco Customer Churn dataset and scored on 1,057 customer records it never saw during training — not a mockup, not a cached result.
A model that always guessed "won't churn" would already be right 73.4% of the time on this dataset — but it would catch zero actual churners. This model trades a bit of that raw accuracy for 77.2% recall, meaning it actually flags the customers who go on to churn instead of just betting against them.
Metrics reflect performance on the referenced dataset's held-out test split. Results vary based on the quality, consistency, and structure of each business's data.
Not raw data or another spreadsheet to decode. A scheduled report showing who needs follow-up, why they were flagged, and what action to take.
Prediction used to require enterprise budgets and internal data teams. AWS changed that. You can now use the data you already have to spot churn risk, prioritize follow-up, and act before revenue is gone.
The discovery call is free. If your data isn't ready, or prediction isn't the right tool for what you're trying to solve, we'll tell you — and recommend what might be. No pressure, no obligation.