Platform

Fundle.ai: Stop measuring points issued. Start measuring behaviour change.

Real-time loyalty analytics: repeat rate, frequency, ATV growth, CLV, cohort migration, churn risk. AI-surfaced anomalies and natural-language data queries.

Section 01

The thesis

The problem

Most loyalty reports show points issued, points redeemed and member count. None of these prove the programme drives business. CFOs ask "what's the ROI of loyalty?" and the team stalls.

The Fundle approach

Fundle's analytics layer treats loyalty as an instrument of behaviour change. Repeat rate, visit frequency, ATV growth per cohort, CLV uplift, cohort migration between segments, AI-detected anomalies, and a natural-language query interface that lets your CMO ask data questions in plain English.

Section 02

The capabilities

Everything you need — native, not stitched together.

01

Repeat-rate engine: 30-, 60-, 90-day rolling rates by segment

02

Cohort analytics: by acquisition month, store, channel, category

03

CLV model: predicted at enrollment, refined every transaction

04

Anomaly detection: alerts when KPI deviates 2σ from expected

05

Store leaderboard: 20+ KPIs ranked across the chain

06

Natural-language queries: "show me at-risk fashion members in Mumbai who spent > ₹10k last quarter"

07

Liability forecasting: points outstanding, projected burn, breakage estimate

08

Incrementality reports: per-campaign and programme-wide

In production

Use cases

What it looks like when this runs in production.

01

CFO board pack

One-click export: incremental revenue, CAC payback, CLV uplift, points liability movement.

02

Store ops weekly review

Top-/bottom-10 stores with AI-generated commentary on root causes.

03

Cohort retention deep dive

Why did the Jan-2026 cohort outperform Dec-2025? Drill from RFM to category to channel.

·100+ behavioural signals per member
·11+ live micro-segments
·Sub-second dashboard refresh
“Fundle Agentic AI doesn't suggest the next campaign. It runs it, measures it, and self-corrects — the way a senior CRM head would, at 100x the speed.”
VN
Vineet NarangCo-founder, Fundle · LinkedIn

Questions

Most asked

The questions enterprise loyalty teams ask first.

Is this a BI tool?

No — Fundle has BI built in, but it's a loyalty intelligence platform. Models know loyalty constructs (tiers, points, redemption) natively, so reports are accurate without modelling.

Can we connect Looker / Tableau / Power BI?

Yes — analytical warehouse access via Snowflake/BigQuery sync. But most teams stay in Fundle because the loyalty constructs are native.

Next step

Ready to see Fundle in action?

A 30-minute working session with a Fundle loyalty strategist and a solutions engineer — tailored to your brand or mall.

Hi 👋 I'm Abhinav

Got a loyalty or ADSR question?