Gong helps HubSpot reduce new rep ramp time and increase productivity through conversation intelligence
HubSpot's coaching culture could not scale to hundreds of salespeople: uncovering coachable moments was nearly impossible, playbook adoption could not be tracked, and the UX team lacked access to unfiltered competitive intelligence from customer conversations.
HubSpot's pre-Gong coaching process was not sustainable: managers had no data to verify whether new reps were internalizing training, and adoption of new product playbooks could not be measured.
HubSpot saw a significant increase in productivity per rep, new reps ramped faster and hit over 100% quota within the first few months, and the UX team shifted from reactive to proactive in product development using Gong call data.
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Frequently asked questions
What did this team achieve with this AI workflow?
HubSpot saw a significant increase in productivity per rep, new reps ramped faster and hit over 100% quota within the first few months, and the UX team shifted from reactive to proactive in product development using G…
What tools did this team use?
Gong, Slack.
What results were reported?
Rep productivity: significant increase in our productivity per rep; New rep quota attainment during ramp: over 100% quota within the first few months of their ramp; Report creation time: 2 seconds; Call recording adoption: more call recordings from his reps in two weeks than he did in all of 2018 (source-reported, not independently verified).
What failed first in this deployment?
HubSpot's pre-Gong coaching process was not sustainable: managers had no data to verify whether new reps were internalizing training, and adoption of new product playbooks could not be measured.
How is this sales ops AI workflow structured?
Sales calls captured by Gong → Competitor mention tracking → Adoption reporting in seconds → Manager call review and annotation → Rep self-evaluation via game tape → UX team extracts market intelligence.