All terms
Analytics

What is Cohort Analysis

Analyzing user groups over time

Cohort Analysis — Analyzing User Groups

Cohort Analysis is an analytical method where users are grouped by a common characteristic (usually registration time) to track their behavior.

Cohort Types

| Type | Grouping Criteria | |------|-------------------| | Time-based | Registration date (January, February...) | | Behavioral | First action (purchase, subscription) | | Size-based | Deal size (small, medium, large) | | Channel-based | Acquisition source (ads, organic) |

Key Metrics

  • Retention — retention by weeks/months
  • Revenue — cohort revenue
  • LTV — lifetime value
  • Churn — attrition in each period

Retention Table Example

| Cohort | M0 | M1 | M2 | M3 | |--------|-----|-----|-----|-----| | Jan 2026 | 100% | 40% | 25% | 20% | | Feb 2026 | 100% | 45% | 30% | — | | Mar 2026 | 100% | 42% | — | — |

Tools

  • Amplitude — product analytics
  • Mixpanel — cohort reports
  • Google Analytics 4 — basic cohort analysis
  • SQL — custom cohorts

Benefits

Process Speed. Cut order processing time by 3-4x. Instant customer responses via AI assistants. Real-time analytics accelerate decision-making. Bring new products to market 2x faster than before.

How to Start

Step 1: Governance. Define a governance model for automation management. Assign owners for each automation domain. Create development standards and guidelines. Set up a review and approval process for changes.

ROI & Efficiency

6-12 Month Payback. With the right approach, investments pay off within half a year to a year. ROI of 250-350% within the first 2 years. 40% employee time savings on routine tasks. Operating expenses drop 30-45% annually.

Common Mistakes

No Measurements. Without baseline metrics, you can't prove ROI. Measure before and after implementation. Define KPIs upfront. Track and adjust your approach regularly based on data.

Who Needs It

Government Sector. Government agencies digitizing citizen services. Municipalities optimizing document workflows. Organizations with high data security requirements. Agencies implementing electronic public services.

Practical Example

Case: Inventory Management. A retailer with 50 stores implemented AI demand forecasting. Inventory turnover grew 40%. Write-off losses dropped 60%. Automated replenishment saves 20 hours weekly on manual planning.

Frequently Asked Questions

Q:Where should I start with automation?
Begin with an audit: identify processes consuming the most time. Choose 1-2 processes with repetitive steps and clear rules. Run a pilot in 2-4 weeks. Measure results and scale successful solutions to other processes.
Q:Which processes should be automated first?
Ideal candidates are repetitive tasks with clear rules: request processing, report generation, email campaigns, data reconciliation. Criteria: high frequency (daily), lots of manual work, clear business logic. Avoid starting with processes requiring frequent exceptions.
Q:How to ensure security of automated processes?
Implement security by design: access control, data encryption, audit trail from day one. Conduct regular security assessments. Set up anomaly monitoring. Ensure GDPR/regulatory compliance. Apply the principle of least privilege for all automated processes.

Related terms

Product AnalyticsRetention Rate