🔄 Cohort Analysis & Customer Lifetime Value

Advanced customer analytics using cohort retention matrices, cumulative LTV curves, and RFM segmentation — the gold standard toolkit for understanding customer loyalty and lifetime value.

Cohorts are defined by the month of a customer's first completed purchase. Retention rate is the share of cohort members who placed at least one order in a given month after joining.

Cohorts Analyzed

51

Total New Customers

61,063

Avg M1 Retention %

2.5

Avg M3 Retention %

2.1

Cohort Retention Matrix

Each cell shows the percentage of customers from that cohort who were still purchasing in that period. Period 0 = acquisition month (always ~100 %), Period 1 = one month later, and so on.

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Track whether retention is improving or declining across recent cohorts.

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New-Customer Acquisition by Month

How many new customers are we gaining each month?

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Cumulative LTV Curves by Cohort

How much cumulative revenue does each cohort generate per original cohort member as time passes? Steeper curves indicate higher-value cohorts.

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RFM Customer Segmentation

Customers Segmented

61,063

Overall Avg LTV

$119.43

Overall Avg RFM Score

3.0

Segment Size & Value — Treemap

Each rectangle is sized by customer count; tooltip shows average LTV per segment.

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Recency vs Frequency Scatter (by Segment)

Each dot is a customer. X-axis = days since last purchase (lower = more recent), Y-axis = total orders. Color = RFM segment. Ideal customers appear in the top-left corner.

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Segment Performance Details

No Results

Average LTV by Segment

Which customer segments generate the most value per person?

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