Cohort Analysis: June Customers Are 30% More Loyal Than March (Why?)
Retail store: cohort analysis shows June customers 40% repeat rate (6 months later = 40% repurchased), March customers only 10% repeat. 30% gap suggests seasonal difference. Root cause: June inventory premium brands (higher margin items), March economy brands (lower loyalty). Recommendation: stock premium brands year-round, improve March acquisition messaging (clarify brand positioning). Potential: raise March cohort repeat to 25% = +50% revenue from March customers alone = SGD 50K additional annual revenue.
What Is Cohort Analysis?#
Segment customers by acquisition month. Track repeat rate (% who buy again) over time. June cohort: 1000 customers acquired, 400 repurchased = 40% repeat rate. March cohort: 1000 customers acquired, 100 repurchased = 10% repeat rate. Gap: 30% = actionable insight (something different about June cohort).
Why Cohorts Reveal Hidden Patterns#
Overall repeat rate (25% across all cohorts) masks variation. June cohort (40%) looks great, March (10%) looks terrible. Without cohort view, you might invest in "retention tactics" that don't address the real problem (March acquisition quality, not retention mechanics). Cohort analysis isolates root cause by time period.
(1) Seasonal: June (high season) cohort loyal because product quality peaks, March (off-season) buys low-quality.
Common Cohort Patterns#
(1) Seasonal: June (high season) cohort loyal because product quality peaks, March (off-season) buys low-quality. (2) Marketing message: June acquisition via influencer (aligned customers), March via discount (price-hunters). (3) Pricing: June cohort charged premium (SGD 50), March cohort SGD 30 (lower price = lower commitment). (4) Product quality: June items bestsellers, March items slow-movers.
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AskBiz Cohort Segmentation#
Auto-segments by month, calculates repeat rate at 1/3/6/12 month milestones. "June cohort: 1000 customers, repeat rate 40% (month 1), 35% (month 3), 25% (month 6), 15% (month 12). March cohort: 1000 customers, repeat rate 10% (month 1), 7% (month 3), 4% (month 6), 2% (month 12). Difference root cause: June customers acquired via [channel], March via [channel]. Recommendation: shift March acquisition strategy to June channel."
- Retail store: cohort analysis shows June customers 40% repeat rate (6 months later = 40% repurchased), March customers only 10% repeat.
- 30% gap suggests seasonal difference.
- Root cause: June inventory premium brands (higher margin items), March economy brands (lower loyalty).
People also ask
How do I know if cohort difference is significant?
If difference >15% repeat rate AND cohorts >500 customers each, investigate. <5% difference = noise, ignore.
What metrics should I track in cohorts?
Primary: repeat rate (%). Secondary: average order value (does June cohort spend more?), lifetime value (cumulative spend), churn rate (% who never return).
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Analyze Customer Cohorts (Find Hidden Retention Gaps)
AskBiz segments by acquisition month, calculates repeat rates. Identifies high/low performing cohorts. Suggests root causes. Try free.
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