Make

Automation

Make

Visual automation platform for building complex multi-step workflows with advanced data transformation and conditional logic. Roiva syncs your Make scenario execution counts and operation usage as monthly metric observations for ROI measurement.

What gets synced

Roiva writes these metric observations on each sync. Reference the key in a value formula to use this data in your ROI calculations.

Scenario Executions

make.scenario.<scenario_id>.executions.count Total execution count (dynamic per scenario) count
make.scenario.<scenario_id>.executions.success_count Successful execution count (dynamic per scenario) count
make.scenario.<scenario_id>.executions.error_count Failed execution count (dynamic per scenario) count
make.scenario.<scenario_id>.executions.operations Make operation credits consumed (dynamic per scenario) count
Common use cases
  • Track how many times an AI automation scenario ran each month as a proxy for adoption
  • Measure success and error rates for automated scenarios before and after AI tooling changes
  • Attribute automation volume and operation cost to specific AI initiatives
  • Use operation counts as the denominator in cost-per-run value formulas
How to connect
  1. In Make: Go to your Profile → API and generate a new API token
  2. In Make: Find your Team ID in the Make app URL (e.g. make.com/organization/<team_id>/...)
  3. Back in Roiva: Enter your API key, Team ID, and region (us1 or eu1) and save the connection
  4. Back in Roiva: Link this connection to an initiative; optionally add a Filter with key scenario_ids and the IDs of scenarios to track (comma-separated)
Tips for capturing value
  • Scenario IDs are visible in the Make app URL when editing a scenario
  • Without a scenario_ids filter, Roiva aggregates executions across all team scenarios
  • The operations metric is unique to Make — it tracks the direct credit cost of running each scenario, making it ideal for cost-per-automation calculations
  • Success rate (success_count ÷ count) is a useful signal for AI automation reliability
Make
Make

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