Verse.ai drives 76% revenue growth and 25% more accurate forecasting with Gong
The problem
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data and customer engagement visibility, and relied on spreadsheets and CRM data for forecasting that quickly became outdated and prone to human error.
First attempt
Previous forecasting tools — spreadsheets and CRM data — became outdated quickly and were prone to human error; the team had also cycled through several other platforms before landing on Gong.
Workflow diagram · grounded in source
1
Signal capture and engagement tracking
Trigger
The entire Verse go-to-market team uses Gong to capture signals, track engagement, and get actionable recommendations based on powerful insights.
▾ source quote
“The entire Verse go-to-market team uses Gong to capture signals, track engagement, and get actionable recommendations based on powerful insights.”
2
AI-powered deal recommendations
Ai action
Automation takes the guesswork out of the sales process so reps can focus on closing deals.
▾ source quote
“Automation has taken the guesswork out of the sales process so reps can focus on closing deals.”
3
Personalized email composition at scale
Output
Gong Engage enables reps to easily compose personalized emails at scale in a fraction of the time it used to take.
▾ source quote
“enabling reps to easily compose personalized emails at scale in a fraction of the time it used to take. With 100 percent of AEs' emails now sent through Engage, the sales team experienced a noticeable improvement in its sales velocity”
4
Scorecard and call recording review
Feedback loop
Gong's Scorecards and call recordings bring consistency to customer interactions across the team.
▾ source quote
“the revenue org brought consistency into its customer interactions across the team by using Gong's Scorecards and call recordings. New hires can ramp up faster, and every interaction is aligned with Verse's messaging.”
5
Salesforce data integration
Integration
Gong's Salesforce integration offered the team a new level of data accuracy and transparency.
▾ source quote
“Gong's Salesforce integration offered the team a new level of data accuracy and transparency, which led to a 25 percent increase in the team's forecast accuracy.”
6
Deal prioritization and forecasting
Ai action
Gong's data-driven approach ensures that Verse focuses on the deals that are most likely to close.
▾ source quote
“Gong's data-driven approach ensures that Verse focuses on the deals that are most likely to close. Rather than being overwhelmed by the sheer volume of leads, they can prioritize quality over quantity.”
Reported 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.
Reported metrics
Revenue boost76%
Forecast accuracy increase25%
AE emails sent through Engage100%
Sales velocitynoticeable improvement in its sales velocity
Show all 6 reported metrics
revenue boost76%
forecast accuracy increase25%
AE emails sent through Engage100%
sales velocitynoticeable improvement in its sales velocity
time on non-selling activitiesdrastic reduction in time spent on non-selling activities
sales cycle lengthshorter sales cycles
Reported stack
GongGong EngageScorecardsSalesforce
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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…
What tools did this team use?
Gong, Gong Engage, Scorecards, Salesforce.
What results were reported?
Revenue boost: 76%; Forecast accuracy increase: 25%; AE emails sent through Engage: 100%; Sales velocity: noticeable improvement in its sales velocity (source-reported, not independently verified).
What failed first in this deployment?
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.
How is this sales ops AI workflow structured?
Signal capture and engagement tracking → AI-powered deal recommendations → Personalized email composition at scale → Scorecard and call recording review → Salesforce data integration → Deal prioritization and forecasting.
This case is one data point. Whether its pattern fits you depends on your volumes, your stack, and your exception load — that comparison is the step no case study can do for you.