💼 Customer Segmentation

Customer Segmentation#

Dividing customers into groups with similar attributes or behaviour for targeting.

Important

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What it is#

Customer segmentation divides a customer base into distinct groups that share characteristics, so marketing, sales and product can be tailored to each. It answers the question: which kinds of customers do we serve, and how should we treat them differently?

Why it matters#

Segmentation sharpens targeted marketing, lifts conversion and retention, focuses resources on the most valuable customers, and guides product decisions toward real segment needs.

Common bases for segmentation#

Demographic — age, gender, income, occupation.
Geographic — country, region, climate.
Psychographic — lifestyle, values, interests.
Behavioral — purchase patterns, usage, loyalty, engagement.
Value-based — profitability, margin, LTV (e.g. high-LTV repeat buyers vs one-time buyers).

Methods#

Rule-based — simple filters (age < 30 → Segment A).
RFM analysis — score customers by Recency, Frequency, Monetary value.
Clustering (ML) — k-means or hierarchical clustering on behavioural and demographic features.
Predictive models — classify which segment a new customer will belong to.

Example#

A streaming service might segment by demographics (students, professionals, families), behaviour (binge-watchers, casual viewers, sports fans) and value (high-LTV subscribers vs churn-prone low-LTV users) — then give each different promotions: student discounts, live-event upsells, loyalty rewards.

Pitfalls and best practices#

Segments should be measurable, actionable, and stable over time.
Avoid a sprawl of tiny segments that are impossible to act on.
Revalidate regularly — customer behaviour drifts, so yesterday’s clusters go stale.
For k-means specifically, scale features first (otherwise large-magnitude fields dominate) and pick K with the elbow or silhouette method.

Theme: Business & Growth Analytics · All terminology

Hint

Mind map — connected ideas

Cross-Selling · Upselling · LTV (Customer Lifetime Value) · Churn · Cohort

Hint

More in Business & Growth Analytics

Blended CAC (Customer Acquisition Cost) · CAC (Customer Acquisition Cost) · Cannibalization · Channel-Specific CAC (Customer Acquisition Cost) · Churn · Cohort · Cohort-Based LTV (Simple Version) · Conversion Rate (CR) · Cost-Per-Click (CPC) Models · Cross-Selling · CTR (Click-Through Rate) · Customer Lifetime · D2C (Direct-to-Consumer) · FTEs