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Predictive Marketing Platform for Marketing Innovators

From insights to activation: build smarter journeys powered by predictive customer intelligence.

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The Challenge

From insights to activation: build smarter journeys powered by predictive customer intelligence.

Difficulty identifying high-value customers early.
Segments that become outdated quickly, continuous maintenance needed.
Delayed conversion signals, out of the conversion window - with negative impact on value bidding.
Hard-to-scale personalization across channels.
Dependence on engineering teams for audience updates.

Unified & Activation-Ready

The Bytek Prediction Platform (BPP) solves these challenges by giving marketing teams a unified, predictive, activation-ready view of every customer, without writing code.

01

Bidding Enhancement

Marketers can activate purchase probability, predicted LTV, or product-interest scores as high-frequency platform signals, massively improving campaign efficiency.

  • Google Ads gains continuous predictive conversion value → improved tROAS.
  • Meta Ads receives enriched signals → better algorithmic learning.
  • DV360 can optimize to predicted outcomes rather than last-click events.

Predictive signals solve the problem of sparse conversions and broken attribution, allowing marketers to activate value-based strategies even when events are not frequent enough.

Bidding Enhancement
02

Predictive Segmentation & Audience Building

Inside Audience Manager, marketers can build audiences using first-party attributes, behavioral aggregations, and predicted outcomes.

Examples:

  • “Users likely to make a purchase in 7 days”
  • “Customers with high LTV but at risk of churning”
  • “Users showing interest in specific product categories”

Audiences update dynamically and sync directly to activation platforms.

Predictive Segmentation & Audience Building
03

Personalized Customer Journeys Across Email, CRM & On-Site

With unified attributes and predictions, marketers can orchestrate personalized journeys across email automation tools, CRM platforms, and website personalization tools.

Examples:

  • Trigger campaigns based on predicted next purchase.
  • Tailor content by inferred interests.
  • Prioritize high-LTV users for premium experiences.
Personalized Customer Journeys Across Email, CRM & On-Site
04

Activation & Martech Integrations

Through Signals Manager, predictions and attributes flow into:

  • Google Ads & Meta
  • CRM tools
  • Marketing automation platforms
  • Proprietary systems via the User API

This ensures all tools operate with the same enriched customer intelligence. Everything stays fresh, synchronized, and actionable.

Activation & Martech Integrations
05

Self-Service Data Enrichment

With Feature Composer, marketers can build their own metrics without depending on engineering. These feed into:

  • Segmentation
  • Personalization
  • Predictive modeling
  • Content automation workflows
Self-Service Data Enrichment