Clari × Databricks
Clari x Databricks: 169% more slipped deals rescued
169% improvement in win rate on slipped deals
Spreadsheet guesswork to trusted revenue visibility
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Why it works
The story leads with a sharp, counterintuitive number (winning more deals that were already slipping) rather than a generic revenue claim, which earns attention quickly. The before-state is concrete: spreadsheet forecasting was error-prone, time-consuming, and left gaps hidden even after hours of work. The piece doubles as a Breakthrough and Efficiency story, but the headline win-rate number keeps it anchored as Breakthrough by the tie-break rule.
Steal this
Lead with a rescue metric rather than a growth metric. Framing the win as 'slipped deals saved' rather than 'revenue increased' is more specific, more credible, and stands out in a category where every vendor claims pipeline growth.
Click to enlarge ↗ This is editorial commentary and curation. The case study, screenshot, and all metrics are Clari's published work; we link to the source and lead with our analysis.