The use case: how Apollo.io deploys Enterpret
Apollo.io uses Enterpret to consolidate customer feedback from sources such as surveys, support chats, cancellation surveys and interviews into categories tied to customer segments, so it can prioritize issues by revenue impact and address root causes of friction and support contacts.
More reported results
Figures published in Enterpret’s case study. They are not independently measured by usedby.
How Apollo.io grew 9x by mapping customer feedback to revenue
In the customer’s words
Enterpret centralized VoC and saved time on the cross-organization coordination.Other AI tools used by Apollo.io
Other public relationships recorded on usedby.
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Customers across industries, with public evidence.
BitvavoConfirmed
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FeeldConfirmedGo straight to the source
Based on Enterpret’s published case study. We check the public evidence; the results are reported by the vendor.
enterpret.com- Source published
- Apr 21, 2026
- Last checked
- Oct 22, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: over 40%Checked
The figure is on the page; its label is our wording.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Apollo.io.
- The publication dateChecked
Read from the page’s own metadata, never guessed.
- Apollo.io uses EnterpretChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Since launching our Voice of Customer program six months ago, our team has dropped our human inquiry rate by over 40%, improved customer satisfaction, and enabled our team to allocate resources to building features that increase LTV and revenue.