Get more out of your ad investments by connecting paid media with on-site actions.
Import search engine impressions, clicks, cost, position, and quality scores from Google AdWords, Yahoo, Bing, and other search engines. Tie these traffic and spend metrics to site-side engagement and real-time conversions in Adobe Analytics.
Advertising is a huge part of your business, making the need for insights especially important. But the ad space has been historically fragmented and opaque. Bringing your ad data in and analyzing alongside your other data has been a headache where it’s even been possible at all.
With Adobe Analytics, you can bring your teams and data out of silos so everyone can get a clearer picture about what’s going on with your advertising. We let you pull real-time data to help you create richer, more data-driven ads for your audiences. Plus, you’ll know whether your ads are effective or well spent.
Connect your login credentials from Google, Bing, Yahoo, and others to activate native integrations with Adobe Analytics.
Share well-performing segments to power personalization, messaging, look-alikes, and reach.
Control access permission details so analysts, advertisers, and agencies only see the campaigns they work on and the metrics relevant to them.
See how to break down silos between advertising and analytics by easily analyzing your advertising data in Analysis Workspaces.
Check out the advertising analytics Adobe Spark page for details on features, FAQ, use cases, examples, and more.
Visit this help page and learn what makes the integration between Adobe Analytics and Adobe Advertising Cloud so beneficial for you.
With our Analysis Workspace feature, you get a robust, flexible canvas for building custom analysis projects. Drag and drop any number of data tables, visualizations, and components (channels, dimensions, metrics, segments, and time granularities) to a project.
Statistical modeling automatically finds unexpected trends in your data by analyzing metrics and determining a lower bound, upper bound, and expected range of values. When an unexpected spike or drop occurs, the system alerts you in the report.
Discovers hidden patterns within your data to explain statistical anomalies and identify correlations behind unexpected customer actions, out-of-bound values, and sudden spikes or dips for metrics across audience segments.