Case Study: Lumos Apps achieves 5x profitability and precise LTV forecasting with Adjust

Leveraging data accuracy to scale and forecast user lifetime value

Lumos Apps is a France-based mobile app publisher that helps creators scale non‑gaming apps across design, ASO, user acquisition and monetization. As Lumos expanded internationally and ran hundreds of campaigns across 50+ countries, their biggest challenges were reliably forecasting user lifetime value (LTV) amid Apple privacy changes (SKAdNetwork), matching data across multiple sources, and scaling operations quickly — so they needed a highly accurate MMP.

By partnering with Adjust and integrating their forecasting and automation tools, Lumos automated bid and budget changes, matched disparate data into a single source of truth, and refined SKAdNetwork conversion schemas for LTV prediction. Within months they reached top App Store positions (Weburn top 10 US, Bend top 50, Plaw top 20), increased profitability 5x, perform hundreds of daily bid/budget adjustments, and are now scaling with 10+ new apps in development.

Lumos Apps

Vincent Hart de Keating

Co-Founder