sales_ops · saas · workflow
Gong's revenue intelligence fuels a 141% surge in Paycor's client sales success
Paycor's client sales team managed 3,000+ deals in the pipeline at any given moment, making systematic tracking impossible. Sales leaders didn't know which deals to prioritize, and CRM data based on sellers' gut instincts was unreliable for accurate forecasting, with forecast-relevant information scattered across multiple systems.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Pipeline data aggregation
Gong aggregates and distills data from CRM, email, and call logs so the team gets an accurate picture of what's happening across the pipeline and in each deal.
Tools used
GongCall SpotlightCRM
Outcome
Paycor's client sales team achieved a 141% increase in upselling deals closed per seller, improved forecast accuracy using holistic pipeline data, and reduced the administrative burden per call while saving hours of prep time each week.
Results
Time savedsaving hours of time in prep work each week
Volume141%
Grounding & classification
Source type: vendor customer story
26 fields verified against source quotes.
content generationforecastingpredictive analyticssummarizationcall recordingemailmetric backednamed customerproduction runtime claimedtools describedworkflow describedsoftwareaccuracy improvementconversion increaseemployee productivitytime savedvendor customer storysales opssales outreachai draft human approvaldata sync enrichment