// COMMERCE INTELLIGENCe
Customer Segmentation:
Become your target audience's mind-reader.
Static segments like "women, 25 to 35" fall short in modern e-commerce. With Xanevo's AI customer segmentation, you leverage machine learning to group customers in real-time based on their actual behavior, customer lifetime value, and purchase probability. For marketing that truly converts, fueled by consolidated data across CRM and ERP.
More than demographic targeting.
01
Algorithms
K-Means and predictive clustering
02
Marketing Impact
Lower CAC and higher CLV
03
Integration
Connection to CRM and marketing cloud
Why is AI-based customer segmentation superior to conventional methods?
Unlike rule-based systems, AI segmentation detects multidimensional patterns in customer behavior in real time. It computes probabilities for future purchases or churn based on thousands of data points from CRM and ERP, which can lift campaign efficiency by up to 25 percent. Static segments are defined at a snapshot and outdate immediately, AI segments emerge event-based and continuously adapt to customer behavior. The difference between a snapshot and a live view of your customer base.
// COMPARISON
Manual segments vs. AI segmentation
Criterion
Manual/Static Segments
Xanevo AI Segmentation
Currency
Outdates fast (snapshot)
Dynamic in real time (event-based)
Depth
Demographic (age, location)
Behavioral (purchase intent, patterns)
Objective
Retrospective (what was bought?)
Predictive (what will be bought?)
CLV Forecasting
Not possible
Automatically computed per customer
Churn Prevention
Reacts after churn
Detects churn signals in advance
//PRODUCT MODULES
Three modules for scoring, churn prevention, and data integration
Module 1: RFM 2.0, From scoring to forecasting
Automated evaluation of recency, frequency, and monetary value (RFM). Identification of your champions for exclusive loyalty programs. Forecast of future potential instead of only historical view. The classic RFM model gets extended with machine learning so the dossier view becomes a forecast view.
Module 2: Churn prevention, Keep customers before they leave
Detection of behavior changes signaling end of relationship (declining frequency, changed basket mix, longer gaps). Automated trigger campaigns for real-time reactivation. Lower acquisition cost (CAC) through better retention, because keeping existing customers is cheaper than winning new ones.
Module 3: Data integration, The end of silos
Successful segmentation requires a consistent data foundation. Xanevo uses the Legacy-to-AI Bridge to extract isolated data from legacy ERP systems (e.g. SAP, AS/400) and make them usable for modern AI marketing workflows. Segments are served via standard APIs into your marketing cloud, CRM, or campaign tools.
// FAQ
Three questions marketing managers and CRM owners ask
Even with mid-size datasets from one year of transaction history the AI detects significant patterns. For B2C with high volume less history often suffices, for B2B with longer purchase cycles we need more. In the data readiness assessment we concretely check what's available and what's sensibly modelable.
Yes, when the data foundation is set up correctly. We work with pseudonymized profiles and respect the consents from your consent management. Personal data does not leave your infrastructure, the model runs on your servers or in an EU-sovereign cloud.
Through standard APIs and connectors for common marketing tools (HubSpot, Salesforce Marketing Cloud, Emarsys, Klaviyo). Segments update event-based so a customer who becomes a churn risk today automatically lands in the reactivation campaign tomorrow.
// CUSTOMER SEGMENTATION
We assess your segmentation potential
Give us an excerpt of your customer master data and transaction history. We build a first model, show you the future-sensible segments, and tell you how CAC, CLV, and churn rate would shift. Pseudonymized, in two weeks.