Advanced customer segmentation
Create dynamic customer segments based on behavior, value, and preferences using ML clustering.
+15%
campaign performance uplift
The problem
No reliable steering on advanced customer segmentation.
The current process is manual or inconsistent.
Decisions come too late due to weak signals.
Marketing ROI is unclear and challenged.
Prerequisites: required data & tools
Required data
- Transaction data
- comportement web
- CRM
Compatible tools
- Python (K-means, DBSCAN)
- CDP (Segment, mParticle)
Not sure you have the data? Our Maturity Auditor can assess your situation in two weeks.
Explore the Maturity Auditor →What we implement in 3-6 months
In 3-6 months: Create dynamic customer segments based on behavior, value, and preferences using ML clustering. with measured impact on campaign performance uplift.
Weeks 1-2
Diagnosis
Weeks 3-6
Build
Week 7+
Delivery
Concrete deliverables
Business framing and decision rules for advanced customer segmentation
Operational engine for advanced customer segmentation
Steering dashboard with alerts
Action playbook and governance
Expert insight
Foundation of any data-driven marketing strategy. Prerequisite: unified data.
— Datasive, expertise terrain
Tech maturity
High
Mature solutions, fast deployment
Medium
Maturing tech, requires customization
Emerging
Cutting-edge innovation, R&D approach
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