Turn to Engagio for Optimal ABM
Tesia Ray | TrustRadius Reviewer
November 17, 2018

Turn to Engagio for Optimal ABM

Score 10 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with Engagio

Engagio is our account-based analytics platform that we have used at our company since launching ABM. We use it to understand the impact our marketing has on our target accounts, so that we can have a better conversation with our sales team and really tailor our messaging to help close more clients. Engagio is primarily used only in the Marketing department, but our sales team interacts with the reporting to better target current prospects. What I really value about Engagio is the focus on enabling reporting of account-level metrics for ABM that we can apply to multiple campaigns as we move forward for better success. It has really given us visibility into our account data and helps control our opportunity efforts.
  • The lead to account matching is awesome. Engagio identifies which of the accounts in our Salesforce instance that a lead would belong to if it were a contact.
  • Allowing for ABM-focused analytics in Salesforce.
  • The details around the behavior of the prospects regarding the duration of visits, pages, etc.
  • Functionality of admin/user roles
  • Additional help reosurces
  • Our company has software and services for very large health plans with lengthy sales cycles with multiple decisions makers. The reporting available has been a large ROI for us in helping achieving overall business objectives of targeting accounts.
  • It allows for more targeted account based marketing that helped us move forward with achieving our goals.
Engagio is best for companies that have longer sales cycles that deal with very large accounts entailing multiple decision makers. In these cases, it really shows value for the end user by letting you see what everyone at those accounts is interacting with to help you better tailor your campaigns.

I don't believe that Engagio would be a rational choice for those with very quick sales cycles or companies with bad data.