Proving Real Value
Most personalisation tools measure their performance by counting all conversions from users who saw their content. The problem: a large proportion of those conversions would have happened anyway, with or without the solution. That is not created value — it is captured value. Reelevant takes a different approach: measuring only what would not have existed without personalisation. This is Incremental Value — the only metric that withstands scrutiny from finance and leadership teams.The Core Principle: Exposed vs Non-Exposed
Every email communication containing a Reelevant block is sent to the entire base. At the moment of opening, a random draw determines whether the user sees the personalised blocks (Exposed Population, 90%) or the version without personalisation (Non-Exposed Population, 10%). The difference in behaviour between these two populations is the real effect of Reelevant.| Population | Share | What they see |
|---|---|---|
| Exposed Population | 90% | Personalised Reelevant blocks |
| Non-Exposed Population | 10% | Standard content without personalisation |
| Δ Incremental Value | — | The difference causally attributable to Reelevant |
What you’ll find in this guide
Methodology
The complete 8-step framework for designing, executing, and interpreting an incrementality measurement.
Statistical Model
Which tests to use (Z-test, t-test, Mann-Whitney), how to read significance, and how to calculate confidence intervals.
Key Challenges
9 detailed CRM challenges with formulas, Exposed/Non-Exposed tables, and worked numerical examples.
Dashboard
A consolidated dashboard for tracking total Incremental Value by segment, by lever, over time.
Common Mistakes
Classic traps: double-counting, ignored significance, poorly defined measurement windows, selection bias.
9 CRM Key Challenges Covered
| Key Challenge | Metric |
|---|---|
| One-timer → Recurrent | Conversion to 2nd purchase |
| Loyalty Enrolment | Programme sign-up rate |
| Status Upgrade | Progression to next tier |
| Retention | Active customer maintenance |
| Reactivation | Dormant customer re-engagement |
| Churn Reduction | Attrition prevention |
| Purchase Frequency | Transactions per year |
| Average Order Value (AOV) | Amount per order |
| Lifetime Value (LTV) | Total customer value |