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Buyer Behaviour Tracker – Customer Health Intelligence Layer

Detects when customers buy less, stop ordering, or shift behaviour β€” before revenue disappears.

Customer Health Scoring
Purchase Pattern Detection
Automated Drop-Off Alerts

The Problem

  • Hard to see when a customer quietly reduces orders

  • Teams usually notice only when it's already too late

  • No visibility into product-level drop-offs

  • Missing signals when a customer moves spending to a competitor

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Hard to see when a customer quietly reduces orders

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Teams usually notice only when it's already too late

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No visibility into product-level drop-offs

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Missing signals when a customer moves spending to a competitor

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Manual checking across customers is impossible at scale

The Solution

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Customer Health Dashboard

Shows who's ordering more, less, or not at all.

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Product-Level Drop Detection

Identifies which products each customer has stopped purchasing.

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Customer Activity Timeline

Visualises order patterns week-by-week.

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Sharp Drop-Off Alerts

Automatically notifies the team when order volume falls significantly.

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Inactivity Monitoring

Flags customers who haven't ordered in weeks.

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Revenue Retention Insights

Highlights accounts at risk so teams can intervene early.

Why It Matters

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20–35%
Reduce Customer Churn
Early detection prevents silent drop-offs
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Instant
Visibility Across All Clients
No more manual spreadsheet checks
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Quick
Recover Lost Revenue
Alerts ensure action is taken promptly
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Product-Level
Trend Identification
See exactly what each customer is buying less of

How It Works

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1

Order History Ingested

System analyses historical and ongoing customer orders

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2

Behaviour Analysis Engine

Tracks changes in order frequency, volume, and product mix

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3

Health Score Calculation

Each customer gets an updated behavioural score

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Trend Detection

Highlights increases, decreases, inactivity, or product drop-offs

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5

Real-Time Alerts

Notifies teams when a customer's ordering pattern shifts significantly

Results

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Before

  • Customer changes go unnoticed for weeks

  • Lost revenue discovered too late

  • No product-level insight into buying patterns

  • Retention becomes reactive, not proactive

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After

  • Early warning system prevents churn

  • Teams act before customers fully disengage

  • Complete visibility on which clients are rising or declining

  • Data-driven retention strategy replaces guesswork

Efficiency Matrix

Reduction in Preventable Customer Churn0%
0%

Understand your customers before they disappear

Use real-time behavioural intelligence to protect revenue.

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