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Post-campaign measurement and learning loop

Close the loop between planning, exposure, lift and actionable learning

The DMP prepares incremental measurement with exposed/control groups, evidence, data quality and learnings that can feed future campaign planning.

Post-campaign measurement and learning loop
DMP

heatmap

Traffic

+18%

Vehicles

316k

Lift

64%

Measurement layer

Traffic lift71%
Zone affinity64%
Flow match86%

Feature context

Heatmaps, tráfico, vehículos, POIs y zonas explican el resultado.

Post-campaign measurement is where the DMP becomes more than planning and turns into a learning memory. Metrica structures reports with baseline, observed result, incremental impact, confidence, limitations and evidence tier.

For advertisers, this answers what changed and with what confidence. For agencies, it supports reports that explain methodology, not only final KPIs. For Taggify, it creates a learning loop: campaign results can feed future recommendations for areas, hours, screens and audiences.

The vision is end to end: plan with data, activate through the DSP, measure with exposed/control groups where applicable and return the learning to the DMP. That closed loop is central to showing technological depth and building a mature OOH performance narrative.

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