Unified Predictive Platform for CRM & Lifecycle Marketing
Connect, unify, enrich, and activate your first-party data to power high-performance CRM programs.
The Data Challenge
CRM and Data teams often manage fragmented customer information spread across multiple tools: eCommerce systems, CRM platforms, web analytics, advertising platforms, and offline records. This fragmentation makes it difficult to build a reliable and actionable customer view, slowing down lifecycle marketing, retention strategies, and analytics.
A Unified, Predictive Customer Layer
The Bytek Prediction Platform is designed to solve these foundational problems, giving CRM & Data Teams a unified, predictive, activation-ready customer layer.
Unified Customer Profiles with Identity Resolution
Using Data Source Manager, all customer interactions - CRM data, eCommerce orders, analytics events - are read and harmonized under a single Bytek ID with a zero-copy approach.
This eliminates inconsistencies and gives CRM teams a continuously updated 360° customer profile where data becomes trustworthy, connected, and ready for activation.
Predictive Attributes for Lifecycle Marketing
Using AI Model Manager, predictions are generated, monitored, and refreshed, becoming part of each user’s profile.
CRM teams can activate predictions such as:
- Probability of next purchase
- Predicted Customer Lifetime Value (pcLTV)
- Product or category-level interests
- Custom behavioral propensity scores
Hyper-Dynamic Segmentation for Email & CRM Automation
Inside Audience Manager, CRM professionals can build or automate segments using raw user attributes, behavioral aggregations, and AI predictions.
Examples:
- “High-value customers”
- “Users likely to buy a specific category in the next 14 days”
- “New customers with high predicted LTV”
These segments update continuously and remain in sync with CRM tools.
Direct Activation in CRM Platforms & Marketing Tools
The Signals Manager enables predictive attributes to flow seamlessly into:
- CRM platforms (Salesforce, HubSpot, etc.)
- Marketing automation tools (Klaviyo, Braze, Mailchimp, etc.)
- On-site personalization tools
- Internal customer systems via User API
Every system receives enriched, consistent, up-to-date customer data.
Self-Service Feature Engineering for CRM Analysis
With Feature Composer, CRM and Data teams can build custom metrics without coding, which become immediately available for segmentation, modeling, and reporting.
Examples include:
- Time since last purchase
- Product affinity clusters
- Engagement-based scores (email, app, site)
