sales_ops · energy · workflow
Verse.ai drives 76% revenue growth and 25% more accurate forecasting with Gong
Verse's sales team struggled with inaccurate pipeline data and customer engagement visibility, and relied on spreadsheets and CRM data for forecasting that quickly became outdated and prone to human error.
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 · Signal capture and engagement tracking
The entire Verse go-to-market team uses Gong to capture signals, track engagement, and get actionable recommendations based on powerful insights.
Tools used
GongGong EngageScorecards
Outcome
Verse achieved a 76% boost in revenue and 25% greater forecast accuracy, with 100% of AE emails now sent through Gong Engage, shorter sales cycles, and improved alignment across sales, marketing, and customer success teams.
What failed first
Previous forecasting tools — spreadsheets and CRM data — became outdated quickly and were prone to human error; the team had also cycled through several other platforms before landing on Gong.
Results
Time saveddrastic reduction in time spent on non-selling activities
Volume25%
Cost replaced76%
Grounding & classification
Source type: vendor customer story
33 fields verified against source quotes.
content generationpredictive analyticsrecommendation systemcall recordingemailfailure mode describedhuman review describedmetric backednamed customersource backedtools describedworkflow describedsoftwareaccuracy improvementcycle time reductionemployee productivityrevenue increasetime savedvendor customer storymarketing opssales opssales outreachai draft human approvaldata sync enrichment