02/06/2026
🎯 Most AI personalization projects don't fail on the algorithm. They fail on the data — scattered across five systems that were never meant to talk to each other.
🧱 It's not one product. It's four layers — CDP, recommendation engine, vector search, A/B testing. Most of the budget goes into wiring them together, not into the algorithm.
📊 McKinsey's number: 10–15% revenue lift. Real — but only if you build in the right order.
🛠️ Sensible phasing:
→ Discovery: €7,000–14,000
→ MVP: €18,000–47,000
→ Full integration: from €115,000
⚠️ The cheapest mistake is the one you catch in the audit, not six months into integration.
Full breakdown — stack, costs, rollout order — 👇 link in the comments.