FASTTL INTELLIGENCE WORKSPACE
Customer Retention & Churn Planner
Find at-risk customers, understand retention trends, and build a practical save plan.
Retention overview
Import customer activity or explore the sample dataset.
Recommended CSV columns:
customer_id, last_purchase_date, purchase_count, total_spend, signup_date, status, engagement_drop. Date fields accept YYYY-MM-DD. Customer names/emails are not required.Customers analyzed0Valid customer rows
High risk00% of customers
Medium risk0Needs monitoring
Low risk0Keep engaged
Risk distribution
Current datasetPriority signals
Rule-basedSignals appear after analysis.
Customer risk explorer
Risk scores are rule-based indicators, not calibrated probabilities.
| Customer ID | Last purchase | Days inactive | Risk score | Risk level | Recommended action |
|---|---|---|---|---|---|
| No customer data loaded. | |||||
0 customers
Cohort retention
Groups customers by signup month and estimates repeat activity from available purchase fields.
| Signup cohort | Customers | Active / retained* | Retention proxy |
|---|---|---|---|
| Import signup_date and status or last_purchase_date fields to view cohorts. | |||
*Retention proxy: customer has a valid last purchase date and is not marked churned/cancelled. This is not a true period-based cohort matrix unless historical monthly activity data is supplied.
Retention action planner
Turn risk signals into campaigns and measurable experiments.
Local planner ready. Gemini is optional and only receives aggregate statistics.
Win-back campaign drafts
Editable ideasGenerate a plan to create campaign drafts.
Retention experiments
Test & measureExperiments will appear here.
Recommended priorities
Start herePrioritized actions will appear here.