Adobe Mix Modeler Features

Unified marketing measurement

Unify ROI measurement and planning across channels by connecting and integrating summary- and touchpoint-level data analysis in a user-friendly application. Instead of waiting months for manual analysis, Mix Modeler lets you self-serve results to quickly measure the current impact of your marketing investments, so you can identify optimisation opportunities and implement them faster.

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Unified marketing sources

Connect all relevant data sources — including aggregate and event-level data —through a single, AI-driven system. This gives you comprehensive measurement and precise channel attribution, letting you plan your marketing budget based on holistic results, total incremental ROI and impact across channels.

Data ingestion. Consolidate both summary and touchpoint data with user-friendly connectors through the Adobe API framework and native integrations. This includes paid, owned and earned channel performance, as well as channel spend, conversion data, internal and external business factors and more.
Data harmonisation. Define and connect similar data fields, marketing channels and touchpoints across varying datasets to support normalised and reliable measurement and planning.
Adobe Experience Platform. Save time by leveraging relevant and permissible data previously ingested into Adobe Experience Platform.

In-product screen of marketing channel results

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Advanced modelling techniques

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

Multi-touch attribution. Leverage a bottom-up machine learning method, which uses discrete, event-level data to probabilistically attribute the incremental impact of conversions to exposures or touchpoints.
Marketing mix modelling. Tap into a top-down machine learning method that leverages aggregated or summary-level data to determine the contribution of marketing efforts to key business outcomes.
Balanced results. Take advantage of Adobe’s patent-pending AI- and ML-powered bi-directional learning technology that ensures each measurement methodology complements the other, to generate holistic insights that are un-biased, consistent and accurate.

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Privacy and trust

Stay compliant and respect customer privacy preferences with the advanced data privacy and usage policies powered by the Adobe Experience Platform patented data governance framework.

Labelling and cataloguing. Enforce data usage policies with labelling and catalog capabilities and out-of-the-box templates that are customisable to fit your needs.
Alerts and policies. Prevent users from activating sensitive data with clear policies that are enforced in the system to help ensure violations don’t occur. In-product usage alerts also notify you of attempted policy violations.
Permissions. Set and enforce role-based permissions and data access for the appropriate team members so they can collaborate without sacrificing customer privacy.
Privacy and Security Shield. Add-on enhanced tools and workflows to help manage the customer data lifecycle, data expiration, as well as automated consent management and policy enforcement for applicable data used within Mix Modeler.