Move every customer to the next best stage — automatically.
Maps each customer to a lifecycle stage (new, active, at-risk, lapsed, VIP) and orchestrates the exact intervention that moves them forward, across their whole journey.
5
lifecycle stages managed
+28%
active-customer base
−33%
lapse rate
Section 01
The business problem
Customers are treated the same whether it is their first visit or their fiftieth. Onboarding, growth, reactivation and VIP nurture all need different plays — but running them all manually is impossible.
Why existing solutions fall short
- One-size-fits-all journeys ignore where the customer actually is.
- At-risk customers are noticed only after they have already lapsed.
- VIPs get the same generic treatment as everyone else.
Section 02
How Fundle solves it
The Customer Lifecycle Agent continuously classifies every customer by stage and value, then triggers stage-specific journeys — welcome, grow, save, win-back, delight — measured on movement between stages, not vanity opens.
01
Stage detection
Classifies each customer in real time using recency, frequency, value and engagement.
02
Journey orchestration
Runs distinct playbooks per stage across every channel.
03
Early churn signals
Flags at-risk customers before they lapse and launches save flows.
04
VIP nurture
Detects emerging high-value customers and elevates their experience automatically.
How it works
From data to outcome — the agentic workflow.
Classify
Assigns a lifecycle stage and value tier to every customer.
Trigger
Launches the right journey for that stage.
Escalate
Moves urgent cases (imminent churn, big spenders) to priority handling.
Measure
Tracks stage-to-stage progression and revenue impact.
Business impact & ROI
+28%
growth in active base
−33%
reduction in lapse rate
4.5x
VIP identification speed
Integrations
FAQ
Customer Lifecycle Agent — questions buyers ask.
How are lifecycle stages defined?
Out-of-the-box RFM-based stages that you can fully customise to your business rules.
Does it work for both malls and brands?
Yes — the stage logic adapts to footfall-based mall data or transaction-based brand data.
Can I see why a customer is at-risk?
Every classification is explainable, with the signals that drove it visible to your team.
Get started
See Customer Lifecycle Agent on your data.
A 30-minute working session with the Fundle team — mapped to your brand, mall or programme.