Adobe Mix Modeler

What is Adobe Mix Modeler?

Fragmented measurement methodologies, slow time-to-insight, the deprecation of cookies, and other factors have made it increasingly difficult to measure the true impact of marketing efforts.

Categories & Use Cases

Marketing Attribution
Marketing Analytics

Media

Screenshot of unified marketing sources. Connect all relevant data sources — including aggregate and event-level data —through a single, AI-driven system. This offers comprehensive measurement and precise channel attribution, so that a marketing budget can be based on holistic results, total incremental ROI, and impact across channels.

Screenshot of advanced modeling techniques. Unlock consistent and comprehensive measurement insights for both bottom-up and top-down modeling approaches using proprietary AI and machine learning (ML). This technology integrates advanced multi-touch attribution with marketing mix modeling machine learning methodologies, ensuring measurements are as robust, granular, and accurate as possible.

Screenshot of model insights used to guide strategy and optimizations, such as summarized marketing performance, channel contributions, and incrementality scoring, as well as options to dive deeper into historical performance over time, or event-level attribution insights.

Screenshot of model transparency, to support investment and planning decisions with visibility into the statistical significance of model results.

Screenshot of business factor insights. These enhance measurement, forecasting, and planning by ingesting data from internal and external business factors that affect marketing performance.

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Screenshot of unified marketing sources. Connect all relevant data sources — including aggregate and event-level data —through a single, AI-driven system. This offers comprehensive measurement and precise channel attribution, so that a marketing budget can be based on holistic results, total incremental ROI, and impact across channels.