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Adobe Marketing Campaign Analytics Features

Insights and recommendations

Ask any question of your models and act on the recommendations — while the budget is still in play.

Conversational and proactive insights

Give anyone on your team the power to explore your models directly. The connected agentic interface — powered by Adobe CX Enterprise Coworker — answers questions, uncovers insights, and explains model outputs in plain language — all within the view you’re already using.

On every screen. Open CX Enterprise Coworker in any view to ask questions about what you’re working on, whether it’s your model insights or a budget scenario you're building.
Rapid insights. Pull an insight or create a new scenario plan from a single request across any model you've built.
Visuals on demand. Generate a chart from any question you ask, built on the spot and formatted to drop straight into a leadership presentation.
Model-level detail. Explore models in granular detail, including which channels are overspending, how much revenue your promotions are driving, or how marketing contribution has changed over time.

Recommendations and executive readouts

Continuously adjust both your media mix and your models as results come in, then hand leadership a readout generated straight from the model.

Spend reallocation. Get shift-in-spend recommendations when new results land and your models rescore, without waiting on a reporting cycle.
Model drift alerts. Get notified automatically when a model's accuracy starts to slip, with guidance on whether to retrain now or wait.
Executive-ready readouts. Turn your model into a readout tailored to your business and your vertical — the headline finding, the KPIs that moved, and where to scale, shift, and cut.

High impact visualizations

Understand what drove performance and where to move budget next, from your whole mix down to the individual tactic — all from the same models behind your plans.

Incremental contribution. See your outcome decomposed into base demand and each tactic's incremental lift and how that mix shifts over time and against last year.
Base drivers. Break down how much demand comes from pricing, promotions, seasonality, and macro conditions, and whether those factors moved for or against you this period.
Channel synergies. Identify which channel pairs create more value together than apart and how much surplus that pairing produces.
Performance below the channel. Compare network, daypart, creative, and audience against an effectiveness index, and receive guidance on whether to scale, maintain, or reduce each tactic.
Saturation and headroom. Compare each channel's return with its next-dollar efficiency to see which are saturated and which have room to invest.

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Learn how to use insights and recommendations features.

Find what you need in Experience League, our vast collection of how-to content — including documentation, tutorials, and user guides.

Learn more | Learn more about how to use insights and recommendations features

Questions? We have answers.

What is Adobe Marketing Campaign Analytics?

Adobe Marketing Campaign Analytics is an AI-powered, self-serve solution that unifies performance data from paid, owned, and earned channels so marketers can track, analyze, and optimize campaigns in one place. It's designed for marketing leaders and performance teams to get an executive-ready view of campaign performance, audience engagement, and conversion impact across the full funnel, and decide where to invest next.

How does AI help marketers analyze campaign performance?

In Marketing Campaign Analytics, AI automatically surfaces what's driving changes in key KPIs, using explainable models to attribute impact across channels, campaigns, and creatives — not just report on clicks and spend. In the Premium tier, machine learning models (MMM/MTA via Mix Modeler) support causal measurement, forecasting, and scenario planning, so marketers can simulate budget shifts and optimize toward incremental outcomes rather than last-click results.

How does Adobe Marketing Campaign Analytics integrate with other Adobe analytics tools?

Marketing Campaign Analytics is built on Adobe Experience Platform and Customer Journey Analytics (Beyond Workspace), and is packaged as a tiered measurement and planning solution within the Adobe Analytics family. It shares data and models with Adobe Mix Modeler and other Experience Cloud applications, so the same marketing datasets can power unified reporting in CJA, advanced modeling in Mix Modeler, and activation in tools like Adobe Advertising, Journey Optimizer, and GenStudio.

What marketing data sources can be analyzed in Adobe Marketing Campaign Analytics?

Marketing Campaign Analytics is designed to ingest and normalize paid media data from major ad platforms (search, social, display, video, Adobe Advertising), along with web and app engagement, CRM/commerce outcomes, and other business drivers via Adobe Experience Platform. By harmonizing these sources into a common paid-media schema, it supports cross-publisher views, funnel analysis, and side-by-side comparison of campaigns, partners, and creatives across channels.

How does marketing campaign analytics help improve marketing ROI?

By providing a single, trusted view of performance across channels and partners, Marketing Campaign Analytics shows which campaigns, publishers, and creatives truly drive business KPIs so marketers can cut waste and double down on what works. With ML-based measurement and planning (in Premium), teams can model incremental impact, test alternative budget mixes, and continuously reallocate spend toward the highest-ROI combinations of channel, audience, and creative.

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Streamline data, teamwork, and optimization.

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Collaborate, validate your strategy, and drive results with Adobe Marketing Campaign Analytics in one smart, personalized interface.

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2026-10-29

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