BlueGrace Logistics gets 88% lift in reply rates using Gong Engage
BlueGrace's full-cycle sellers worked in legacy tools with disjointed workflows that lacked personalization support, causing wasted time on admin tasks and tool switching while producing poor outreach response rates. Sales leaders had limited visibility into seller performance, and siloed teams with fragmented data made coaching a guessing game.
Legacy sales engagement tools forced 'spray-and-pray' outbound tactics that produced low-quality engagement and poor response rates, and all performance data was anecdotal or self-reported, making pipeline predictability impossible.
Using Gong Engage, BlueGrace achieved an 88% lift in reply rates (from 16% to 30%), sellers executed 52% more calls and emails, touched 49% more accounts, and new hires delivered 2x expected revenue productivity.
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Frequently asked questions
What did this team achieve with this AI workflow?
Using Gong Engage, BlueGrace achieved an 88% lift in reply rates (from 16% to 30%), sellers executed 52% more calls and emails, touched 49% more accounts, and new hires delivered 2x expected revenue productivity.
What tools did this team use?
Gong Engage, Gong, Salesforce.
What results were reported?
Outreach reply rate lift: 88%; outreach reply rate before Gong Engage: 16%; outreach reply rate after Gong Engage: 30%; Sales calls and emails executed: 52% more (source-reported, not independently verified).
What failed first in this deployment?
Legacy sales engagement tools forced 'spray-and-pray' outbound tactics that produced low-quality engagement and poor response rates, and all performance data was anecdotal or self-reported, making pipeline predictabil…
How is this sales outreach AI workflow structured?
Lead-to-close managed in Gong → Streamlined flows with templates → AI call summaries and to-do lists → Salesforce data in Deals board → Leader coaching from insights.