Scale Personalisation
Navigate the Reelevant personalisation ecosystem — from business problems to execution patterns.Key Challenges
33 business and marketing problems to solve with personalisation.
Use Cases
48 personalisation strategies and execution patterns.
Datasources
11 data types needed to activate personalisation.
Capabilities
13 cross-cutting platform capabilities that power Use Cases.
How it connects
Key Challenge Categories
| Category | Count | Examples |
|---|---|---|
| Customer Lifecycle / Value | 14 | First purchase conversion, one-timer to recurrent, frequency, AOV, churn, reactivation |
| Loyalty Programme | 5 | Recruitment, status progression, points maximisation, challenges |
| Base Engagement | 3 | Consent extension, app activation, NPS exploitation |
| Marketing Pressure | 1 | Exposure control, rotation, fatigue prevention |
| New Data Usage | 3 | Scoring integration, intent qualification, preference collection |
| Language Management | 2 | Auto-locale adaptation, real-time individual personalisation |
| Omnichannel Experience | 2 | Cross-channel coherence, drive-to-store |
| Data Qualification | 1 | Workflow event exploitation for profiling |
| App Download | 2 | Drive-to-app via pricing, app presence in CRM channels |
Featured Use Cases
| Use Case | Connected Challenges |
|---|---|
| Enriched Product Recommendation | Displays personalised products based on profile, lifecycle stage, and affinities — with real-time price recalculation, language management, and anti-pressure rotation. |
| Lifecycle Banner | A single offer block that automatically adapts to customer status: welcome, post-purchase, loyalty, anti-churn, winback — visible coherently across all channels. |
| Consent Collection Banner | Automatically displays the collection banner (optin push, RCS, WhatsApp, email) based on each person’s non-opted channels — without manual versioning per channel. |
Key Datasources
| Datasource | Type | Fields | Connected Use Cases |
|---|---|---|---|
| CRM 360 | Customer Data | 8 | 24 |
| Offers | Offer Management | 8 | 8 |
| Workflow Events | Behavioural Data | 5 | 5 |