TrustRadius
Great for data-driven propensity model-in-a-box
https://www.trustradius.com/predictive-sales-analyticsLattice EnginesUnspecified7.411101
Charles Wu profile photo
September 24, 2018

Great for data-driven propensity model-in-a-box

Score 7 out of 101
Vetted Review
Verified User
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Overall Satisfaction with Lattice Engines

I used Lattice in my previous role at Turbonomic. At the time, it was brought in by Marketing to help prioritize a list of target accounts for the sales organization to pursue. We used Lattice to identify signals in accounts that would indicate a propensity to purchase, as well as provide additional firmographic and technographic information to enrich in our CRM.
  • Firmographic Information on accounts - Lattice uses best in class data sources to make sure account information is up to date
  • High Level technographic data - Lattice will generally identify which core products are being used at a company
  • Easy to use UI and model building.
  • Detailed technographic information - we had a lot of issues with Lattice not being able to identify specific technologies being used by a company, which would be able to provide us materially different context as a seller.
  • Model is built once and is static until refreshed - do not get meaningful feedback into the model in real-time
  • Hard to identify which attributes are meaningful enough to include as enrichment in SFDC.
  • Lattice provided information to sales reps on which accounts they should prioritize, but hard to measure any tangible ROI.
Lattice is ideal for a company who has not identified a list of targeted accounts or has not done segmentation. As long as the total addressable market is up for grabs and a company needs data on how to prioritize and distribute accounts, Lattice is able to add a ton of value. If you already have a list of accounts you are pursuing, Lattice will be able to help score than A-D, but generally will not tell you anything you don't already know.