One-to-one experiences at population scale.
Personalises content, product recommendations, offers and journeys for every individual across app, web, WhatsApp and store — powered by first-party behaviour.
1:1
at any scale
+31%
engagement lift
omni
channel coverage
Section 01
The business problem
Personalisation usually stops at “Hi, {first name}”. Real relevance — the right product, message and timing for each person — is beyond manual segmentation.
Why existing solutions fall short
- Segment-of-one is impossible to run by hand.
- Web, app and store personalise in isolation, so experiences contradict each other.
- Recommendations are based on last purchase, not real intent.
Section 02
How Fundle solves it
The Personalisation Agent builds a live model of each individual’s intent and tastes, then tailors every touchpoint consistently across channels — the same customer, understood everywhere.
01
Recommendation engine
Predicts the products and content most relevant to each person.
02
Cross-channel consistency
Keeps the experience coherent across web, app, WhatsApp and store.
03
Intent modelling
Reads real-time signals to infer what the customer wants now.
04
Dynamic content
Assembles the right hero, offer and message per visit.
How it works
From data to outcome — the agentic workflow.
Profile
Maintains a live taste-and-intent model per individual.
Predict
Ranks products, content and offers for the moment.
Render
Personalises each touchpoint in real time.
Adapt
Updates instantly as behaviour changes.
Business impact & ROI
+31%
engagement lift
+19%
AOV on recommendations
100%
touchpoints personalised
Integrations
FAQ
Personalisation Agent — questions buyers ask.
Is this a recommendation engine?
Recommendations are one part; it also personalises content, offers and journeys across every channel.
How much data does it need to start?
It delivers value from day one with cold-start models and sharpens as behaviour accrues.
Does it work in physical stores?
Yes — store associates and POS can surface personalised offers and recommendations.
Get started
See Personalisation Agent on your data.
A 30-minute working session with the Fundle team — mapped to your brand, mall or programme.