Measurement

Measure marketing with modeled evidence, not platform scorecards.

Metric Hive Measurement brings MMM, MTA, and triangulation into the same semantic layer that powers your modeled marketing and commerce data. Every result starts with backend-owned readiness checks for scope, outcome trust, media or touchpoint coverage, currency behavior, diagnostics, and publishing status.

1

Define the measurement scope

Measurement uses an account or default market scope with timezone, currency, week start, date range, outcome source, and versioned assumptions attached to durable outputs.

2

Check inputs before methods

Readiness verifies outcome history, media spend, touchpoint events, conversion provenance, privacy-safe bridge quality, history depth, and currency safety before results are produced.

3

Publish only guarded outputs

Results can be blocked, directional, or publishable. Trusted surfaces require diagnostics, safe metadata, and publish/sign-off state before outputs are treated as customer-visible evidence.

What Measurement includes

The product family is organized around method modules and a shared readiness contract, so MMM and MTA do not invent separate data assumptions for the same business question.

Marketing Mix ModelingEstimate aggregate contribution, contribution share, ROI, uncertainty, and diagnostics from weekly media and outcome patterns.
Multi-Touch AttributionReport attributed conversions, revenue, contribution margin, model comparison, unattributed share, and path-quality diagnostics from eligible observed paths.
TriangulationCompare already published MMM and MTA summaries for the same scope, outcome mapping, and channel taxonomy to find alignment, conflict, or blockers.
Release-safe guardrailsLocked future modules such as incrementality and budget optimization stay separate until their readiness, billing, outputs, and audit paths exist.