Volume
5.5x more qualified opportunities, from a team that had just arrived
Complete months either side of go-live, through September. The reps producing it were new to the company.
Artemis GTMWatch the two-minute testimonial
Artemis GTM rebuilt Listen Labs' outbound from scratch and ramped a new BDR team in under a month.
Listen Labs is a Series B, San Francisco based AI-first customer research platform selling into Fortune 500 enterprises.
| Result | What it measures |
|---|---|
| 5.5x | More qualified opportunities per month from outbound |
| 39% | Fewer AE rejections, conversion rate unchanged at 5.5x the volume |
| 8 figures | Qualified outbound pipeline in under four months |
| 20% | Lower tool expense after consolidation |
| 40 hrs | Saved per BDR per month, a full week back per rep |
Metrics are historical, not a forecast or a guarantee of future results.
Artemis GTM embedded at Listen Labs, diagnosed the leaks in an outbound motion that had never been built as a system, and rebuilt it from the ground up on a queryable data architecture. Every BDR running it was new to the company and productive inside a month. Five months later, qualified opportunity creation was up 5.5x into Fortune 500 accounts, at the same conversion rate.
The situation
- Growing fast on inbound, selling into Fortune 500 and 100 accounts with six-month evaluations and real buying committees.
- Outbound had leaks and the data behind it couldn't be trusted. Five sales tools, five versions of the truth, a CRM that had been outgrown.
- The entire BDR team was new. Every previous rep had moved into another role inside the company. No institutional memory.
What we built, in six steps.
- 01 Diagnose
Diagnosed the leaks
Found where opportunities died and why the data couldn't be trusted, before building anything.
- 02 Architect
Built a queryable data architecture
Full bidirectional CRM integration, deduplicated on the way in. Data accuracy up 25%+.
- 03 Consolidate
Cut five sales tools to three, all driven through MCP
20% lower tool expense. Every BDR runs targeting from Claude on one surface.
- 04 Target
Refined and systematized the ICP targeting motion
Prioritised director-level and above. Those opportunities get rejected by AEs 39% less often.
- 05 Signal
Built a signal-based outbound motion
ICP-focused signals with a priority order, sending from dedicated warmed domains.
- 06 Enable
Enabled the BDR team with agentic workflows
Pre-call briefs, targeting digests, no-show recovery, meeting sync. New reps productive in under a month.
Captions are on by default.
“It's one thing to build the systems. It's another thing to actually have BDRs use it and enjoy the systems and have them enabled on it...”
Read the full transcript
Hi everyone, Anish here. I lead the growth team at Listen Labs and wanted to provide a quick but, you know, very strong recommendation for Tom Regan, who we worked with for about five, six months starting this spring. When Tom joined, we had essentially no outbound motion to speak of, and he was absolutely instrumental in building up that channel and making into what it is right now, which is our largest channel by far for a new business.
And I think what I appreciate about him, several things, I think one just very practically minded, just came in and set up a stack that really worked, built around certain really important tools, but also a lot of sort of connectors between them and kind of frameworks that our BDRs could leverage to sort of streamline their operations. And so from, you know, within a month or two, we went from having no sort of process in place to, you know, quite a streamlined one that obviously needed, you know, continues to need iteration, and that's where the work is gonna come over the next several months, but is very capable of generating pipeline. So I think he was instrumental there.
I think he also just did a great job bringing in a lot of experience coming from a former SDR sort of leader mindset. It's one thing to build the systems. It's another thing to actually have BDRs use it and enjoy the systems and have them enabled on it and also have that fit into a larger sort of outbound strategy that, you know, makes sense and is gonna hit company goals. And I think having that experience that he had in terms of knowing, you know, what can be challenges with BDR programs, what can be challenges with some of this tooling, he, I think, just had a lot of that foresight and was able to work around it really well.
I think he also did a great job of kind of, again, as a former sort of AE, he was able to kind of interface with sales and BDRs and with growth and with marketing. And I think that made the process a lot easier as well. And yeah, I think overall just would highly recommend him. I think if you need to quickly build out your outbound motion and kind of supercharge that and start getting real pipeline, I think he's a great choice.
What changed, by the numbers.
Quality
39% fewer AE rejections, same conversion rate
Scaling outbound normally costs quality. It didn't here. Conversion to AE-qualified held flat through the entire ramp.
Team
Productive in under a month, 40 hours a month back per rep
Typical ramp is one to two quarters. Better data meant no more time on prospects who were never reachable.
Who the pipeline is with
51% at companies with $10B+ estimated revenue (22% more at $1B to $10B)
29% at companies with 100,000+ employees (26% more at 10,000 to 100,000)
On the numbers
Every figure is a direct query against Listen Labs' CRM, published as rates and ratios only. Pipeline value, revenue and customer names are withheld at Listen Labs' request. That is how we would handle your numbers too. Full case study and verification document available.
Metrics are historical, not a forecast or a guarantee of future results. Published with Listen Labs' consent. Listen Labs is a trademark of its owner.
About Artemis GTM
AI-native GTM engineering consulting firm
We build your GTM systems in-house, white-glove, inside your own CRM and tools, and you keep them.
Artemis GTM is an AI GTM engineering firm founded in 2022 by Tom Regan. It builds, implements and deploys outbound and inbound GTM systems for seed to Series C B2B startups, hands-on, inside the client's own CRM and tools, using its proprietary AI GTM engineering agent architecture. Clients keep the systems; the architecture stays with Artemis GTM.