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TITAN-REC 3.0
TITAN-HORIZON 2.5
TITAN-CORE 2.4
TITAN-TREND 1.7
TITAN-LINK 2.2
TITAN-FIRSTSOON
TITAN-ARCSOON
FR/EN
TITAN-CORE 2.4
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The model

TITAN-CORE 2.4

Churn detection and per-customer personalized action model

TITAN-CORE is a proprietary Deep Learning architecture that detects, for each customer, whether they are Active, Spacing out, Slipping away or Inactive. The model analyzes more than 20 signals to adapt actions to their real situation: retain, re-engage, hold on to or win back.

Flow architecture

Your tools. Our intelligence layer. Your actions.

TITAN-CORE plugs directly into your existing stack. No migration, no rewrite. Signals come in. Decisions come out.

E-commerce
PrestaShop
Shopify
WooCommerce
Magento
Emailing & CRM
Mailchimp
Klaviyo
Brevo
Acquisition & Analytics
Meta Ads
Google Ads
Google Analytics
Support
Zendesk
Gorgias
Processing layer
TITAN-CORE 2.4
20+
Signals / customer
30+
Suggested actions
98%
Churn accuracy
Continuous
Updates
Retention & Anti-churn
Winback sequence for churning customers
Targeted retention offer
Personalized product reactivation email
Activation & Campaigns
Campaign by customer segment
Automated email calendar
Customer upgrade plan to a higher range
LTV Growth
Cross-sell sequence for complementary products
Sales priority scoring
Acquisition & Personalization
Targeted Ads audiences
On-site personalization
New segment detection
Use case

Deployment surfaces

crm
Champions
Loyal high-AOV
At risk
Single-season
→ SYNC KLAVIYO
CRM sync
Segments and churn scores synced with your tool (Klaviyo, Brevo, Mailchimp)
email
Did we miss you?
Triggered by TITAN-CORE · D-7 before churn
Return to the site
Reactivation email
Triggered at the optimal moment before churn for each at-risk customer
meta
AUDIENCES
Exclude: Champions
Exclude: Loyal
Target: At risk
Target: Lookalike
Ads audience exclusions
Exclude loyal customers from the acquisition budget to focus it on prospects
Under the hood

An intelligence layer, not one more dashboard.

Customer-product relational graph

TITAN-CORE builds a unified graph of several million relationships between your customers, your products and their behaviors. Not a tabular view — a network of signals.

Dynamic micro-segmentation

Segments redefine themselves continuously based on real behaviors. No fixed rules. No categories to maintain.

Slip detection via weak signals

The model identifies customers in the process of slipping away before they are lost, by cross-referencing frequency, recency, order value and contextual signals.

Cross-model intelligence

TITAN-CORE feeds directly into TITAN-REC, TITAN-LINK and TITAN-HORIZON — your segments, your churn predictions and your recommendations share the same truth.

Model metrics
Customer churn detection accuracy98%
Signals per customer20+
Model parameters+10M
Business impact
Churn rate-16%
Average LTV+10%
Email revenue+20%
In production

TITAN-CORE deployments

Titane detects thousands of churning customers and launches their reactivation campaigns
TITAN-CORE· April 2026

Titane detects thousands of churning customers and launches their reactivation campaigns

Master Outillage

Integrate TITAN-CORE

Discover what TITAN-CORE detects across your customer base — or let us show you live, on your data.