How the data flow is structured and managed?
Bytek Prediction Platform connects to a specific view located on the customer’s Google BigQuery, which contains the data required by the algorithms and an encrypted and anonymous customer identifier. These data enter our platform, where they are processed to extract the enriched data from the algorithms and are then downloaded, avoiding any collection and storage of the initial raw data. Subsequently, thanks to the Audience Manager, Signal Manager or Dump modules, the data is sent to paid media or marketing automation systems for activation strategies.
Is the platform secure and privacy-compliant?
Yes. BPP runs on secure cloud infrastructure, supports role-based access control, and processes personal data only when explicitly agreed upon.
What does Bytek offer that most CDPs don’t?
- Custom AI Models (e.g., purchase prediction, churn, LTV, product interests) - Self-service feature engineering (build attributes without code) - Advanced segmentation using raw, aggregated, and modeled data -Value-based activation (e.g., bidding strategies based on predicted purchase likelihood)
Do I need a CDP to use Bytek Prediction Platform?
No. Bytek Prediction Platform can operate standalone, reading data from your Marketing Data Warehouse. However, it can be also used in addition to your existing CDP.
How long does it take to implement Bytek Prediction Platform?
Implementation timelines typically range from 2 to 6 weeks, depending on: number of data sources to be pulled into your data warehouse (if you are not already storing data there), data quality and structure, level of customization (e.g., custom features or AI models), integration requirements with activation platforms.