🧠 Food for thought

Implications, context, and why it matters.

Former Google Ads solutions engineering lead for EMEA signals shift toward privacy-safe marketing infrastructure

• Zilbershtein led solution engineering for Google Ads in Europe, Middle East and Africa (EMEA), with a focus on integrating first-party data (information a company collects directly from its users) for ad optimization 1. That work readied him to tackle Voyantis focus on predicting customer lifetime value 1.
• Voyantis connects to data warehouses (centralized data stores), customer relationship management (CRM) systems, and commerce platforms to turn historical data into predictive signals 2. It sends these predictions to ad networks through application programming interfaces (APIs) like Meta’s Conversions API (CAPI) and the Google Ads API 2.
• The company uses only anonymized, non-personally identifiable information such as engagement and spending patterns 1. It stores only anonymized usage data 3. This fits privacy rules that financial technology (fintech) and consumer app clients must navigate 45.

Infrastructure vendors can target Voyantis predictive AI expansion needs

• Voyantis updates user-level predictions every hour using Snowflake (a cloud data warehouse), Amazon Web Services (AWS), and Google BigQuery (a cloud data warehouse) 1. It needs scalable data pipelines because annual recurring revenue grew threefold for two straight years, and the customer base tripled in 2024 6.
• The platform uses deep learning and boosted trees 7. It also uses embedding (vector representations of users or events or items) and ensemble learning 7. That opens room for specialized ML infrastructure providers and model monitoring tools (software that tracks model performance and detects drift) as the team grows beyond 70 employees 6.
• Recent funding goes to research and development (R&D) and a sharper go-to-market strategy 6. Cloud and data vendors with API orchestration tools (to manage and sequence API workflows) can help with platform scale. Offer real-time data processing or multi-cloud deployment solutions to support the next phase.