Executive Overview
Daily retention performance, top-line revenue, region comparison, and what's accelerating or breaking.
Net revenue by region
Region split · revenue share
Top 5 campaigns by attributed revenue
| Campaign | Region | Rev | CVR |
|---|
Lifecycle revenue mix
Campaign Analytics
Every send rated on engagement, revenue, fatigue and unsubscribe risk. Email + SMS, comparable.
Top Campaigns · Revenue vs CVR
Channel mix · 30d
All campaigns
Subject line patterns
Open-rate lift by subject-line trait. Sample = campaigns in window.
Content-type performance
Promo vs editorial vs lifecycle vs transactional.
Customer Segmentation
9 RFM segments + behavioural overlays — discount sensitivity, category affinity, retention responsiveness.
Segment value · revenue × headcount
LTV distribution
Discount sensitivity × LTV
Top-right = engaged but discount-trained — pricing risk.
Engagement decay by segment
% of segment engaged in last 30 vs 90 days.
Product Intelligence
Promoted-to-purchased gaps, cross-sell affinity, repeat-purchase ladder, and which SKUs anchor LTV.
Promoted vs purchased — gap analysis
When a campaign features SKU X, what actually gets bought?
Cross-sell affinity matrix
P(buy Y within 30 days | bought X). Darker = stronger.
Product ladder · revenue, repeat, retention impact
Time-Based Behavior
Send-time heatmaps, purchase-window lag, seasonal patterns — by region.
Best send time · open rate by day × hour
Local time. Hot cells = highest opens. Switch region in the top filter to compare.
Purchase window after send
How many hours between a click and the order it produces.
Weekly seasonality
Revenue index by day-of-week (Mon=100).
Cohorts & Retention
Monthly first-purchase cohorts, retention triangle, churn curve, lifecycle stage flow.
Retention triangle
% of each first-purchase cohort that returned within N months. Diagonal moves are the freshest data.
Average retention curve
Lifecycle stage funnel
Strategic Insights
Computed every refresh. Each insight: WHY · IMPACT · ACTION. Severity drives priority.