Understand every customer — and what to do next.
Segmentation, RFM, CLV, churn prediction and cohort analysis on unified first-party data, delivered as answers and actions rather than dashboards to decode.
360°
customer view
predictive
CLV & churn
<10s
to any answer
Section 01
The business problem
Customer data is scattered across POS, app and web, and the analytics that exist describe the past without telling anyone what to do about it.
Why existing solutions fall short
- Fragmented data means no single, trustworthy customer view.
- Reporting is descriptive, never predictive or prescriptive.
- Insights need an analyst, so business teams wait in line.
Section 02
How Fundle solves it
Fundle Customer Analytics unifies every signal into one profile and layers predictive models (CLV, churn, propensity) plus a natural-language interface, so anyone gets analyst-grade answers and next actions instantly.
01
RFM & segmentation
Automatic, always-current behavioural segments and RFM tiers.
02
CLV & churn models
Predict lifetime value and churn risk for every customer.
03
Cohort analysis
Track retention and value by acquisition cohort over time.
04
Ask-anything
Natural-language queries return charted, sourced answers.
How it works
From data to outcome — the agentic workflow.
Unify
Consolidate POS, app, web and offline into one profile.
Model
Score CLV, churn and propensity continuously.
Explore
Ask questions in plain language.
Activate
Push segments straight into campaigns and loyalty.
Business impact & ROI
10x
faster to insight
−33%
churn with predictive save
100%
teams self-serve
Integrations
FAQ
Customer Analytics — questions buyers ask.
Do I need data scientists?
No — models are built in, and anyone can query in natural language.
Can I activate segments directly?
Yes — segments flow straight into campaigns, loyalty and WhatsApp with one click.
How is CLV calculated?
With predictive models on your transaction history, not a simple historical average.
Get started
See Customer Analytics on your data.
A 30-minute working session with the Fundle team — mapped to your brand, mall or programme.