Attribution & Marketing-Mix Modelling

Multi-Touch + MMM Hybrid

Explore techniques that integrate path-level and top-down models for a unified view of incremental impact.

Hybrid attribution combines MTA’s path granularity with MMM’s ______ rigor.

subjective

ad server

pixel

causal

MMM provides top‑down causal lift while MTA offers bottom‑up journey detail.

A common stack feeds MTA fractional credits into MMM as ______ priors.

uniform

uninformative

informative

zero

In Bayesian MMM, MTA weights help regularise channel coefficients.

Calibration aligns MTA channel ROAS to MMM incremental ROAS by applying ______ multipliers.

scaling

time‑decay

cookie

keyword

Scaling factors ensure both models converge on consistent ROI numbers.

2025 best practices suggest re‑calibrating MTA with fresh MMM outputs every ______ months.

1

24

3

12

Frequent adjustment keeps the stack aligned as media and market conditions evolve.

Lift tests can be used to ground‑truth the hybrid model, acting as an external ______.

CPM

CLS

validation layer

pixel

Experiment results benchmark the combined approach and catch drift.

Hybrid dashboards usually display both attribution credit and incremental lift to satisfy ______ stakeholders.

media and finance

legal only

IT

HR

Media teams need granular credit; finance teams need causal impact.

One challenge in hybrid models is double counting if MTA counts all conversions and MMM adds ______.

pixels

bot traffic

baseline

spam

Proper de‑duplication removes baseline sales already explained by MMM before layering MTA credits.

Data granularity mismatch is handled by rolling MTA daily credits to the ______ level of MMM inputs.

device

weekly

hourly

monthly

Temporal aggregation aligns dimensions, preventing leakage of noise.

Hybrid frameworks often use Markov MTA because Shapley values are ______ heavy.

cookie

computationally

design

creatively

Markov path models scale faster for daily credit calculations across millions of journeys.

Early adopter case studies report ______ lift in budget efficiency after hybrid adoption.

100 %

5‑10 %

0.5 %

40 %

Blending causal and path insights fine‑tunes spend, delivering moderate but reliable gains.

Starter

Review the basics.

Solid

Nice work—refine the details.

Expert!

Exceptional command of the topic.

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