1:1 Personalised Digest - Reelevant Documentation

What It Is

The 1:1 Personalised Digest is a complete email where every single block is individually personalised. Rather than a generic newsletter with one personalised section, the entire communication is composed of multiple Reelevant Content blocks — each serving a different purpose, all orchestrated by interconnected Workflows. This is the most advanced Use Case: it combines product recommendations, lifecycle messaging, loyalty status, contextual offers, and relational content into a single, fully individualised communication.

Key Challenges Addressed

This Use Case addresses 10 Key Challenges across 5 categories:

Category	Challenges addressed
Customer Lifecycle & Value	Frequency increase, basket increase, churn reduction, one-timer conversion, reduce promo dependence
Loyalty Programme	Status progression, programme recruitment
New Data Usage	Proprietary scoring, preference qualification
Language Management	Language adaptation
Omnichannel	Coherent omnichannel experience

Required Datasources

Datasource	Fields used	Role
CRM 360	Full customer profile, lifecycle stage, preferences	Master orchestration
Product Catalogue	Products, categories, pricing	Recommendation block
Loyalty Programme	Status, points, benefits	Loyalty block
Offers	Active offers, eligibility	Offer block
Navigation	Recent browsing, cart abandonment	Intent signals
Stock & Availability	Product availability	Real-time filtering

Required Capabilities

Capability	Role in this Use Case
Recommendation Engine	Product selection for recommendation blocks
Lifecycle Offer Engine	Offer selection based on lifecycle stage
Loyalty Programme Integration	Real-time loyalty data for status block
Language Scaling	Full email in individual’s locale
Category Affinity	Cross-sell block based on purchase patterns

Example Implementation

Email Composition (5 blocks)

Block 1 — Lifecycle Banner (Workflow A):
  Contextual greeting based on lifecycle stage

Block 2 — Product Recommendations (Workflow B):
  3–6 products selected by affinity, filtered by stock

Block 3 — Loyalty Status (Workflow C):
  Points balance, distance to next reward, or enrolment CTA

Block 4 — Contextual Offer (Workflow D):
  Personalised offer based on lifecycle + purchase pattern

Block 5 — Live Polling or Relational Content (Workflow E):
  One-click survey OR customer value metrics

What the Customer Sees

A single email where:

The header greets them by lifecycle context (“Welcome back, Marie — 3 months together!”)
Product recommendations reflect their actual browsing from yesterday
Their loyalty points and next benefit are displayed in real time
An offer is calibrated to their value and lifecycle stage
A relational block shows their journey or asks a preference question

Every element is different from what another customer sees — no two emails are identical.

Measuring Incremental Value

Metric	How to measure
Overall engagement	Open rate, click rate, click-to-open rate
Revenue per email	Total attributable revenue per Exposed vs Non-Exposed
Block-level CTR	Individual block performance within the digest
Frequency impact	Purchase frequency over 90 days for Exposed vs Non-Exposed
Unsubscribe rate	Should decrease vs generic newsletters

See Key Challenges — Frequency and Annual Spend for valorisation formulas.

​What It Is

​Key Challenges Addressed

​Required Datasources

​Required Capabilities

​Example Implementation

​Email Composition (5 blocks)

​What the Customer Sees

​Measuring Incremental Value