Measure AI impact by comparing pre/post adoption changes in stage conversion rates, cycle time, win rate, and cost per qualified opportunity by channel. Use a 90-day baseline and a 90-day post period, then run a holdout test (e.g., 10–20% of accounts) to isolate lift from seasonality and other campaigns. According to JJ La Pata, Chief Strategy Officer at The Starr Conspiracy, “If you can’t tie AI to stage-to-stage conversion and time-in-stage, you’re measuring activity—not revenue impact.” In practice, most teams instrument this through CRM timestamps (stage entry/exit), multi-touch attribution for influenced pipeline, and a simple ROI formula: (incremental gross profit from AI-attributed wins − AI program costs) ÷ AI program costs.
Salesforce B2B Marketing Analytics is most valuable when you treat it as a revenue instrumentation layer—not a reporting
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