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Adobe Marketing Campaign Analytics Features

Streamlined paid media analysis

Consolidate your paid media into a single, unified system built for intelligent modeling. Adobe gives you tools to automate the ingestion, schema mapping, and data hydration, so your team gets instant access to incremental insights, delivery metrics, and pacing — exactly when you need them.

Out-of-the-box connectors

Configure once, then let the connector run, pulling in data directly from the source on a scheduled basis without additional overhead or advanced technical support.

  • Instant connectivity. Pull paid media data directly into Adobe without the technical overhead. Authenticate in a few simple steps and skip the custom pipelines — no ongoing maintenance or engineering lift needed.
  • Continuous data sync. Use set-and-forget connectors to automatically sync your campaign, spend, and performance data, keeping marketing analytics data updated without manual intervention.
  • Connector library. Explore available connectors on our source connector page.

Built to reflect your campaign structure

Ensure every initiative you want to measure is aligned to the same trusted system of record.

  • Standardized paid media data. Map data to a consistent, customizable paid media schema, preserving brand-defined campaign taxonomy and supporting both large-scale and granular campaign views.
  • Precise data ingestion. Use Adobe’s connectors to ingest publisher-level data down to the creative asset, preserving campaign hierarchy and delivering clean, consistent inputs for modeling.
  • Multiplatform analysis. Leverage ingested paid media data in other Adobe Analytics products for additional insights, such as Adobe Content Analytics or Adobe Customer Journey Analytics.

Instant, model-ready data

Model paid media data in minutes for on-demand optimization.

  • Data readiness. Rely on continuous data hydration of paid media pipelines so updated data flows in and becomes instantly available for modeling purposes.
  • Proven impact. Measure the effectiveness of each paid media channel and tactic in context of a broader campaign strategy for full funnel ROI and know exactly where future investment will drive the highest return.
  • Maximized paid media returns. Make in-flight optimizations on paid media channels using incrementality metrics down to the ad level, with full visibility into how paid media investments contribute across the entire marketing mix.
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Learn how to use streamlined paid media analysis 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 streamlined paid media analysis features

Questions? We have answers.

What paid media platforms can Adobe Marketing Campaign Analytics connect to?

Adobe Marketing Campaign Analytics connects to paid media data via Adobe Experience Platform paid media connectors and ETL partners, so it can bring in performance data from leading search, social, programmatic, and retail media platforms. Specific coverage depends on your connector configuration, but it is designed to support major networks such as Google Ads, Meta properties, and other top ad platforms as those integrations are enabled.

How does Adobe Marketing Campaign Analytics standardize paid media data across channels?

Adobe Marketing Campaign Analytics uses a common, cross-channel schema to normalize publisher data—standardizing spend, impressions, clicks, conversions, and key metadata like campaign, channel, and creative. This lets marketers compare performance "apples to apples" across platforms and roll everything up into consistent, executive-ready views.

How quickly can teams start analyzing paid media performance after connecting their data?

Once paid media sources are connected and validated, Adobe Marketing Campaign Analytics begins ingesting and harmonizing data on its scheduled refresh cadence. Teams can typically start exploring unified performance views as soon as the first full data loads are processed, without needing custom modeling or SQL.

How does Adobe Marketing Campaign Analytics measure the impact of paid media on marketing ROI?

Adobe Marketing Campaign Analytics ties media spend and exposure metrics to downstream outcomes—such as conversions, revenue, or pipeline—to calculate KPIs like ROI, ROAS, and cost per outcome by channel, campaign, and publisher. In advanced configurations, it can also leverage AI-powered measurement models from Adobe Mix Modeler to estimate the incremental impact of paid media on business results.

How does Adobe Marketing Campaign Analytics support cross-channel campaign optimization?

By unifying paid, owned, and earned marketing data, Adobe Marketing Campaign Analytics shows which channels and campaigns are driving the strongest results and where performance is lagging. Marketers can compare publishers, tactics, and audiences side by side, then use those insights — optionally combined with Mix Modeler's planning features — to shift budgets and optimize campaigns across the full funnel.