Customer Intelligence
Next Best Offer
The right offer for each customer at the right moment.
01 / The problem
The problem.
Offers are pushed by campaign calendar rather than customer need. Relevant customers are missed and others are over-contacted.
02 / What it does
What the agent does.
- Ranks eligible offers per customer
- Respects eligibility, contact and pricing rules
- Explains why an offer was chosen
- Learns from accepted and declined offers
03 / How it is built
Built on ContextLab.
Ontology
Customer, product, offer, channel
Process
Offer approval and contact-policy workflow
Formal Knowledge
Eligibility and pricing rules
AI Technologies
Propensity models · Ranking models
04 / Results
Typical KPIs we measure.
- Offer conversion
- Revenue per contact
05 / Integration
Integrations and deployment.
CRM · Marketing automation
On-premise or private EU cloud
Related agents
More in Customer Intelligence.
Customer Intelligence
Customer 360
One consistent view of each customer across billing, CRM and channels.
Customer Intelligence
PilotChurn & Retention
Know who is likely to leave, why, and which action to take.
Customer Intelligence
Segmentation & Lifetime Value
Segments built on behaviour and value, not demographics.
Let's look at one process together.
Bring one process that matters. We'll show you what it takes to make it AI-ready.