Adobe Analytics arms your analysts with easy data visualization
Overall Satisfaction with Adobe Analytics
We use Adobe Analytics to provide actionable visitor and customer engagement and journey data to our marketing team. This allows our marketing team to be data driven in their decisions and helps our web team optimize our web experience.
Pros
- Web Traffic and Audience insights
- Customer Web journey data
- Engagement and click data
- conversion data
Cons
- The data integration process needs to be more obvious and forgiving
- the Adobe Data warehouse feature can have a better UI
- Transitioning to Adobe Alloy for an SDK/XDM implementation from a traditional implementation needs to be easier and more intuitive.
- ROAS insights from AA have enabled us to decrease poor performing campaign usage and increase high-performing campaigns
- Insights from AA journey data have allowed us to A/B optimize our site experience and personalization experiences. Our personalized audiences convert +177% times more efficiently than our non personalized audiences as a result.
- Our speed to analyze our audiences have allot us to get information back to our stakeholders more quickly than before allowing us to make KPI impacting moves more quickly.
to help business stakeholders make data-driven decisions
Adobe Analytics far surpasses Google Analytics in the following arenas: journey analysis. Adobe Analytics very clearly portrays user journey data unlike any other web analytics tool.
Do you think Adobe Analytics delivers good value for the price?
Yes
Are you happy with Adobe Analytics's feature set?
Yes
Did Adobe Analytics live up to sales and marketing promises?
Yes
Did implementation of Adobe Analytics go as expected?
Yes
Would you buy Adobe Analytics again?
Yes
Using Adobe Analytics
100 - channel and campaign marketing, Web analysts, and paid ad spend.
1 - Web analytics skill-sets, data-engineer background
- Web performance visibility
- Impact to sales funnel
- User journey and behavior
- Visibility into specific audience journeys
- Understanding of sub-audiences
- web engagement clarity
- full-funnel understanding of web assets to sales funnel KPIs
- segmentation in AEM
- segmentation with Target
Comments
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