Sales ops · Production

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data and customer engagement visibility, and relied on spreadsheets and CRM data for forecasting that quickly became outdated and prone to human error.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Previous forecasting tools — spreadsheets and CRM data — became outdated quickly and were prone to human error; the team had also cycled through several other platforms before landing on Gong.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.”
2
AI-powered deal recommendations
ai_action
“Automation has taken the guesswork out of the sales process so reps can focus on closing deals.”
3
Personalized email composition at scale
output
“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
“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, 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. 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
Source
https://www.gong.io/customers/case-studies/verse-ai-drives-76-revenue-growth-and-25-more-accurate-forecasting-with-gong
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

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.

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