👥
CRMCustomer activity
💳
BillingPayments & invoices
📅
AttendanceVisits & check-ins
📊
SalesTransactions
Process & Solutions

Find problems before
they become expensive.

Most businesses already have the data they need. We turn it into a weekly or monthly priority list your team can act on.

!
Risk detectedCustomer at risk of churn
  • ↓ Usage declining
  • • Less active
  • $ Payment issues
  • ! Support tickets open
Who This Helps

Built for businesses that need earlier warning signals

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.

🔄 Subscription & Membership Businesses

  • Identify members likely to cancel before they do
  • Spot declining attendance, usage, or payment patterns
  • Turn churn risk into a scheduled follow-up list

📊 Small Sales Teams

  • Know which leads are worth calling first
  • Clean and score CRM data automatically
  • See pipeline risk before it shows up in revenue

🏢 Commercial Real Estate & Landlords

  • Identify tenants at risk of not renewing
  • Forecast vacancy or payment risk across a portfolio
  • Turn lease and payment data into action items
How It Works

From scattered data to clear action

1
Discover

Understand what's actually happening

We start by mapping your current workflow — where leads come in, how customers are tracked, where things fall through the cracks. No assumptions.

What if our data doesn't track churn directly?
Most SMB data doesn't. The first thing we do is define what churn looks like in your business based on your sales cycle, then derive the signal from your existing records. No CRM changes required.
Lead flow audit CRM review Bottleneck mapping Data inventory
2
Connect

Pull your data into one place

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.

CRM exports Spreadsheets Forms & inboxes AWS integrations
3
Analyze

Find the patterns hiding in your customer data

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.

Pattern recognition Trend analysis Performance benchmarking Anomaly detection
4
Predict

See exactly who's at risk — and why

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.

Lead scoring Churn risk Revenue forecasting Operational risk flags
5
Automate

Get the right list in the right place — automatically

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.

Automated alerts Lead routing Dashboard reporting Scheduled reports Follow-up triggers
Benchmark Validation

Tested on real-world benchmark data

Before applying the workflow to a business, we validate the process on established datasets to confirm that it can surface meaningful patterns, rank risk, and explain what is driving each result.

7,043
IBM Telco records
77.6%
Accuracy on this dataset
0.850
AUC-ROC score
Contract Type
Top churn signal
Feature importance
SageMaker Canvas feature importance with contract ranked as the leading churn signal
Model metrics
SageMaker Canvas model metrics showing an AUC-ROC score of 0.850

Benchmark results reflect performance on the referenced dataset. Results vary based on the quality, consistency, and structure of each business's data.

Example Output

Your Monday morning priority report

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.

PrediktSales Customer Risk Report
Monday · 8:00 AM
3 customers flagged
Peak Music Lessons
Jon C
Attendance down 40% · no lesson booked in 28 days
87% risk
Suggested action: Personal outreach before the next billing cycle.
Riverside Gym
Michael R
Check-ins down sharply · payment retried twice
72% risk
Suggested action: Trainer outreach and membership review call.
Horizon Martial Arts
Sarah L
Attendance down 25% · missed last 2 classes
58% risk
Suggested action: Front-desk follow-up and renewal reminder.
Why Now

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.

✓ No-Risk Discovery

If after the first call we can't help your business, you don't pay.

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.

Get a free consult

Let’s see what your data is actually telling you.

Get a free consult
PrediktSales Assistant
×