How Gamma Transformed Sales Performance with Clari Cadences
Gamma's revenue operations team was mired in manual data reconciliation and reporting, leaving no capacity for strategic work or enabling frontline teams. Without a single source of truth, establishing basic data accuracy consumed most of the team's time, while limited visibility into pipeline health made forecast accuracy difficult for a public company managing large, complex deal cycles across thousands of deals.
Gamma had previously used other market solutions but found them too complex and time-consuming, requiring significant assistance to set up and optimize.
Implementing Clari Cadences delivered 10–15% better forecast accuracy and surfaced 8% more white space opportunities.
Hours or days of meeting preparation time were eliminated, allowing teams to redirect effort from administrative tasks to revenue-generating activities, with improved CRM data quality as an unexpected benefit.
Frequently asked questions
What did this team achieve with this AI workflow?
Implementing Clari Cadences delivered 10–15% better forecast accuracy and surfaced 8% more white space opportunities.
What tools did this team use?
Clari, Clari Cadences, CRM.
What results were reported?
Forecast accuracy improvement: 10 to 15%; White space opportunities identified: 8% more; Meeting preparation time saved: certainly hours, probably days; Sales delivery improvement: 10x'ed our delivery (source-reported, not independently verified).
What failed first in this deployment?
Gamma had previously used other market solutions but found them too complex and time-consuming, requiring significant assistance to set up and optimize.
How is this sales ops AI workflow structured?
Manual reporting burden identified → 13-week Revenue Cadence adopted → Systematic pipeline review → Deal focus and prioritization → CRM data hygiene loop → Improved forecast accuracy output.