Pocus × Loom
Pocus x Loom: 18M users turned into 33% of new pipeline
33% of total new pipeline generated
Wild west prospecting to repeatable pipeline machine
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Why it works
The case study is anchored by a concrete pipeline contribution figure that is directly attributable to Pocus playbooks, giving readers a real outcome to evaluate. The before-state is specific and credible: reps context-switching across Tableau, Salesforce, and Outreach, with ops manually stitching Snowflake to Salesforce and a prior PLS platform that failed adoption. The mechanism is explained well enough to replicate: surface product signals in a single data layer, build playbooks around conversion-predictive actions (e.g., an account admin taking a key product action), and give reps a unified inbox to action them.
Steal this
Quote the rep who saves time, quote the ops lead on the data pain, and quote the sales director on strategy. Three voices, three layers of the same problem, all reinforcing one headline number. That triangulation makes the result feel earned rather than cherry-picked.
Click to enlarge ↗ This is editorial commentary and curation. The case study, screenshot, and all metrics are Pocus's published work; we link to the source and lead with our analysis.