Most GTM teams building outbound workflows in Clay run into the same friction points: limited front-end filtering that forces expensive enrichment runs just to qualify a list, complex setup requirements that take months to learn, and data coverage that is constrained by what is visible on LinkedIn.
This walkthrough breaks down three dimensions that directly affect how efficiently a GTM team can build and activate a list: filtering depth before credits are spent, ease of use for operators who are not dedicated GTM engineers, and the breadth of the underlying contact and company database.
In this video, you’ll learn:
- How front-end filtering options differ between the two platforms and what that means for credit spend and time to a qualified list
- How waterfall enrichment setup compares and where the operational complexity lives in each tool
- Why database coverage matters when building TAM lists and what the gap looks like across specific industries
- How the AI agent inside GTM Studio guides workflow construction for operators who want results without building complex multi-step automations
See how the two platforms compare across the workflows that matter most to outbound GTM teams.
