Bizible changes how you think about marketing efforts
June 05, 2019
Bizible changes how you think about marketing efforts
Score 8 out of 10
Vetted Review
Verified User
Overall Satisfaction with Adobe Marketo Measure
We use Bizible to provide a more complex understanding of marketing attribution beyond a first touch model. Bizible integrates into our CRM campaign data to assess the value of a particular campaign against revenue yield. Therefore, Bizible redistributes the ROI (or, more appropriately distributes the ROI) of our marketing programs across campaigns which gives us a better platform for understanding the ROI of an individual plays, and which combinations of plays are most effective at yielding revenue from our growth programs. Our business model and the product has long, large deals at very large companies, and understanding efforts even against a relatively small sample size is immensely useful in optimizing our growth spend.
- Bizible has a robust SDFC integration.
- Bizible has several attribution models which can be deployed to suit your enterprise's own particularities.
- Bizible allows you to look at the micro view (IE, understand attribution for a given opportunity) but also macro views (which types of campaigns are most effective).
- Bizible doesn't backtrack particularly well- so it takes several months or quarters after implementation to get a firm grasp of your attribution.
- Bizible's SFDC widget is slow loading.
- Any analytics product can be misused to narrow a story or tell a biased one- and Biz is no exception.
- Bizible requires clean campaign data. Therefore, many organizations will need to clean up their CRM data to ensure good analytics. Cleaning up data is always good!
- Bizible has a medium-term impact in terms of marketing investment selections.
- We anticipate a hard to define but substantial ROI from Bizible when we fully adjust our marketing architecture to be responsive from insights into attribution. For example, in a first touch model, a given channel might not have high ROI, but under a distributed model, it might be very clear that that channel is productive. We haven't reached this stage yet in our own deployment.