Input Harmonization for Marketing Mix Modeling (MMM)
Supply your marketing mix models with precise macro signals that survive future retraining cycles without data degradation. Lunde acts as an automated data validation layer that captures data at the ingestion point. It automatically corrects severe timing and granularity mismatches, resolving volatile daily digital ad metrics against fixed monthly or quarterly accounting ledger bills. The platform filters out disorganized gross layouts and delivers schema-locked data arrays stripped down to verified, net-to-advertiser values.
[ Market Context ]46.9% of enterprise marketing organizations are actively expanding budgets for predictive modeling, yet three-quarters of data leads state their forecasting models underperform due to unaligned tracking inputs and timing skews (Source: EMARKETER & IAB Guidelines).
[ Compliance Guardrail: Zero PII storage footprint — 100% aggregate data mapping processed in secure EU servers ]
[ Pilot Waitlist ]
Feed your MMM models clean, net-to-advertiser arrays.
Join the pilot and capture harmonized macro signals at the ingestion point — schema-locked and retraining-safe, with zero PII storage.