How Listen Labs Hit a 12% Conversion Rate with LGM
Listen Labs is a Sequoia and Ribbit Capital-backed SaaS platform. Companies use its software to run AI-moderated customer interviews at scale. They have raised $100 million to date at a $500 million valuation and work with clients like Microsoft, Sweetgreen, and Anthropic.
To reach the customer insights teams, CMOs, and heads of market research, their go-to-market team needed an outreach platform that could keep pace with a growing team.
Context and background
Before switching to La Growth Machine, Listen Labs ran their LinkedIn outreach on Meet Alfred. The team, four people at the time including BDRs and a go-to-market engineer, found the platform limiting: the interface wasn't as intuitive as they'd have liked, and keeping exclusion lists in sync across their stack, LinkedIn, email, and calls in Nooks, meant a lot of manual checking to avoid contacting the same lead twice.
Looking for something more capable, the team was drawn to La Growth Machine in part for features they weren't getting elsewhere. As Trip Gorman, Growth Lead at Listen Labs, put it during onboarding: "We were drawn initially by that AI voice memo tool, that's years ahead of other tools."
Choosing La Growth Machine and getting started
Listen Labs came in with a clear goal for their onboarding call: get the whole team comfortable with La Growth Machine, learn the platform's best practices, and retire Meet Alfred within a month or two.
Their LGM Client Partner, Vincent Bradley, ran the onboarding directly with the team, walking through campaign logic, invitation notes, AI voice messages, and how to connect their existing tools, Clay for enrichment, Attio as their CRM via an API connection, so leads could flow between platforms without manual work.
Vincent stayed hands-on after that first call too, reviewing live campaigns with Trip, flagging where acceptance rates could improve, and helping the team build out fallback logic for when a prospect doesn't respond on LinkedIn.
That level of support is a big part of why the team has stuck with La Growth Machine. "LGM support has been great." Trip said.
Since onboarding, usage has grown well past the original four. "We have eight people currently using LGM, and we have BDRs doing it and AEs using it," Trip said, with Growth, GTM, founder and even Recruitment teams now using LGM too.
How the team uses it today
Listen Labs runs LinkedIn outreach on La Growth Machine, and the setup goes beyond one person, one identity. The team has 28 identities connected but only 8 people actively running campaigns, using La Growth Machine's shared inbox to send from a colleague's identity when it's a better match for the prospect, like a founder-to-founder or peer-to-peer message, without that colleague having to lift a finger.
The team relies on Real Chat Mode to keep conversations feeling natural, and continues to work with Vincent to fine-tune campaign logic as new use cases come up.
They've also started layering in intent data: connecting RB2B to La Growth Machine lets them build campaigns around leads who are already showing buying signals, rather than cold-prospecting blind.
Results
What started as a four-person LinkedIn workflow has grown into company-wide adoption, with 28 identities now connected and 8 people actively running campaigns across several teams: Growth, GTM, AE, their founder, and even Recruitment.
Trip says, “LGM allows us to send off sequences across a bunch of different team member's personas and then respond as them. We wouldn't be able to do that otherwise."
That broader usage shows up in the numbers. Looking across unique leads contacted, Listen Labs sees an 18% reply rate, and a 12% conversion rate from those replies.
Their best-performing campaign to date landed at a 77% reply rate, and their RB2B-powered intent campaign on its own hit a 33% reply rate.
Looking forward
Listen Labs continues to build out its outreach setup on La Growth Machine, including tighter integrations with Clay and Attio. Vincent remains closely involved as new use cases come up.
