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 analysing with 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 to create richer, more data-driven ads for your audiences. Plus, you’ll know whether your ads are effective or well spent.
Connect your log in credentials from Google, Bing, Yahoo and others to activate native integrations with Adobe Analytics.
Share well-performing segments to power personalisation, 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 analysing your advertising data in Analysis Workspaces.
Check out the advertising analytics Adobe Spark page for details on features, FAQs, 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 customised analysis projects. Drag and drop any number of data tables, visualisations and components (channels, dimensions, metrics, segments and time granularities) to a project.
Statistical modelling automatically finds unexpected trends in your data by analysing 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.