sales_ops · saas · workflow

Greenhouse achieves 281% surge in new product ARR using Gong's AI-backed revenue intelligence

Greenhouse's account management team was not achieving projected upsell numbers for a newly launched product despite customer demand, with three key gaps identified in rep performance: discovery, objection handling, and setting next steps.

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 · Customer interactions captured
Gong captures customer interactions from sales calls.
Tools used
GongGong Deal BoardsZoomSlackGainsight · partnerSalesforce · partner
Outcome

After expanding Gong adoption through the Game Film series, Greenhouse saw a 281% increase in new product ARR, 312% more new product attached to renewals, and a 456% boost in attachment rate, alongside gains in Gong engagement metrics.

Results
Volume281%
Source

https://www.gong.io/customers/case-studies/how-greenhouse-sows-the-seeds-of-success-with-ai-backed-revenue-intelligence

How we source this →

Grounding & classification
Source type: vendor customer story
32 fields verified against source quotes.
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