For in-depth analytics, Adobe Analytics is by far the best
April 29, 2022

For in-depth analytics, Adobe Analytics is by far the best

Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with Adobe Analytics

Adobe Analytics is our primary analytics tool. We collect a wide spectrum of dimensions to allow us detailed information about our general usage, plus focused tracking for specific key flows to ensure that the business has the proper visibility to make decisions. This data is not only used in Adobe Reporting but it is also exported out for usage in our Data Lake. What is collected is constantly reviewed to ensure data is correct. Additionally, it is tweaked for improvements as we start to use the data in new ways and reports are created almost daily to help answer new questions coming from various teams.
  • The large number (and configuration options) for the dimensions and metrics that are available
  • The ability to create complex segments and calculations on the fly to look at any granularity of the data
  • The ability to correlate this data in the workspace, without a lot of limitations and visualize it in a way that makes sense to your needs
  • The ability to use virtual suites, which allow complex organizations to see the data at high levels as well as separated down without needing to make multiple tracking calls on the sites
  • There are a few instances where I can't quite show the info I would like in Workspace, meaning that I need to bring the data out to other tools (but most of the time this isn't needed)
  • I would love to be able to bring data from multiple suites into a single workspace visualization and use calculated metrics to add them together or perform other operations. Currently, this can only be done outside the tool in Excel - I can create multi-suite data visualizations across different panels, but the data from these panels have no interaction.
  • I would love some additional abilities to control the graphing labels because the generated labels often look pretty bad. While I can change most of them if I change the freeform table all the work I did reverts. Therefore, it would be awesome if we could right-click on the column and set visualization names there, so with any changes to the table the labels would pick up and auto-set. This means I would not have to fix them all manually again.
  • It would also be nice if processing rules received some improvements for more complex logic checks. This would make it easier to map context variables from Mobile SDK.
  • This is hard for me to quantify as I am not part of the marketing team or involved in the contract portion, so calculating an ROI is nearly impossible
We use all three concurrently: Adobe Analytics, Google Analytics, and Parse.ly. By far, Adobe is the superior tool. Google is decent as a backup system, but the ridged way that you can pull data and the limitations for correlation make pulling reports difficult and cumbersome. Parse.ly is a decent real-time reporting tool aimed at media companies, but generally, this is used by the editorial staff to make real-time decisions about content distribution rather than in-depth analysis. It's nice to be able to compare trends and ensure that everything looks aligned, but Adobe is our primary source of truth.
Adobe Analytics is most suited for large organizations. The cost of this tool makes the investment significant, but large organizations that use it to its fullest potential will also reap the most benefits. Adobe Analytics really is the industry leader in analytics capabilities, and when used right is easier to dig into the details you need. Smaller companies, particularly ones that aren't trying to do complex analysis, probably wouldn't find it to be an investment that is worthwhile.