Hyros Training
Analytics

Cohort Analysis

Track how groups of leads perform over time to identify trends, measure strategy changes, and find your break-even point.

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Cohort Analysis

What It Does

Creates time-based groups (cohorts) of leads — for example, everyone who entered in January vs February vs March. Then it tracks how each group performed over subsequent weeks or months in terms of revenue, sales count, and LTV.

Think of it as a grid/matrix view: rows = cohorts (by entry month), columns = time elapsed since entry. Each cell shows accumulated revenue or sales.

Questions It Answers

"Are January leads spending more over 90 days than December leads?"
"Is lead quality improving or declining month over month?"
"How long does it take each cohort to become profitable?"
"Which acquisition period produced the highest-value customers?"

When To Use It

Tracking trends over time. Unlike the LTV reports which answer "how much is source X worth?" — Cohort Analysis answers "is my business getting better or worse at acquiring valuable customers?"

Best for identifying seasonal patterns, measuring the impact of strategy changes (new offer, new funnel), and finding your break-even point per cohort.

How It Differs from LTV Reports

Grouped by sourceGrouped by time of entry
"Which channel is best?""Is it getting better over time?"
Snapshot at a point in timeProgression across periods
Optimize where you spendOptimize when & what you do
Example Cohort Grid
Revenue accumulated per cohort over months since entry
CohortMonth 0Month 1Month 2Month 3
Jan 2026$12,400$18,900$22,100$24,500
Feb 2026$9,800$15,200$19,700—
Mar 2026$14,100$20,900——
Apr 2026$11,600———

Each row = one cohort (entry month). Each column = revenue accumulated by that cohort after X months. Notice March cohort is outperforming Jan/Feb at the same stage — this signals improving lead quality or better onboarding.

Questions about cohort analysis? Contact the analytics team or check the Hyros documentation.