--- title: "Peoplelogic case study: 100 meetings a month" description: "How Peoplelogic found its ICP with outbound: 100 meetings a month, and 86% of positive replies from one group of job titles." url: https://frontal.so/case-studies/peoplelogic updated: 2026-10-16 --- Case study · Peoplelogic # Peoplelogic case study: 100 meetings a month, 86% of positive replies from one title group How Peoplelogic used outbound volume to find its ICP: 100 meetings a month, and 86% of positive replies traced to one group of job titles four months in. **Meetings a month** 100 **Positive replies from culture and employee experience titles** 86% **Positive reply rate in that title group, against 1 in 105 overall** 1 in 56 **Positive replies across the engagement** 314 **Industry** HR tech, performance management software **Company size** 15 employees **Built under** GTM Services **Tools** Apollo **Time window** ICP read from the replies four months in **Published** Oct 16, 2026 Built under ColdIQ Agency, which became Frontal in 2026. Same operators, new name. [The full story →](https://frontal.so/case-studies#coldiq) Want results like these? Book a call and we’ll walk you through how it would work for your team. [Book a call](https://book.frontal.so) ## The constraint Peoplelogic builds performance management software. Beyond the standard review processes, the team is working out how to bring AI into HR tech responsibly: to improve the output, not to replace people’s jobs. At the time it was a 15-person company with about 100 clients, growing every month. Sales had a working guess at who the buyer was. It started conversations, but nothing repeated. Finding a pattern takes volume and fast A/B testing, and Peoplelogic was not set up to do either at speed. > I was hoping to just better understand our ICP. We had a guess, but we had not found one that had been very, very repeatable in that we could get some conversations going, but we weren’t really finding anything common thread. *Austin Evans, VP of Sales, Peoplelogic* [Peoplelogic testimonial](https://fast.wistia.net/embed/iframe/nznyf096u9?seo=true&videoFoam=true) ## What we built An outbound program designed to answer one question: who actually buys. Work started in early November 2023, and leads were coming in that same month. The campaigns were cut so they could be compared against each other: managers against directors, and a culture, engagement and happiness angle against an HR operations and systems angle. Lists were pulled from Apollo, every campaign ran a five-email sequence, and new segments went live as results came back, in December, late January and late February. Austin measured two conversions: responses to booked meetings, and meetings to opportunities. His feedback on which conversations were working went straight back into the targeting. In March 2024 we analyzed the positive replies: 171 of them, from 18,099 people contacted. - ### The title was the signal 86% of positive replies came from people with culture, employee experience or employee engagement in their job title, a group that made up 46% of the list. “Culture” alone accounted for 75%. - ### That group replied nearly twice as often One positive reply every 56 contacts, against one every 105 across the whole list. - ### Size and seniority narrowed it further 77% of positive replies came from companies with 10 to 250 employees, and managers and heads accounted for 70% of them. - ### Two emails did the work of five 82% of positive replies landed on the first two emails, so the recommendation was to cut sequences to three touches. - ### Industry did not matter No industry stood out. Day to day, both teams worked in one shared Slack. Across very different time zones, Austin’s estimate is that 85 to 90% of the time the answers came as fast as if the team sat in his own. > You treated it like, I don’t know, like I was your manager and you guys were my demand gen team working for me in a company. *Austin Evans, VP of Sales, Peoplelogic* - Apollo ## Results | Metric | Result | | --- | --- | | Meetings a month | 100 | | Responses booked as meetings | 30 to 40%, in Austin’s estimate | | Positive replies by March 2024 | 171 from 18,099 contacted (1 in 105) | | Share from culture and employee experience titles | 86%, from 46% of the list | | Positive reply rate in that group | 1 in 56 | | Positive replies across the engagement | 314 from 49,550 people reached (1 in 158) | > So we were just hammering meetings which was teaching us a lot about who these people were and what they are and helping us to narrow down and give you guys feedback on which ones were working and which ones didn’t. *Austin Evans, VP of Sales, Peoplelogic* ## What this means for you If your ICP is still a guess, sending more of the same guess will not fix it. Run enough volume, split cleanly enough, that the replies can tell you something. Peoplelogic’s answer turned out to be a job-title keyword, a company size band, and the finding that two emails did the work of five. None of that was visible from a handful of conversations. - [GTM Services](https://frontal.so/services/gtm-engineering) Want results like these? Book a call and we’ll walk you through how it would work for your team. [Book a call](https://book.frontal.so) ## More case studies [View all](https://frontal.so/case-studies) - [Palico FinTech · GTM Services 6 to 15 positive replies a week, 3 clients closed in the first weeks How Palico’s under-20-person team turned manual prospecting into outbound that produced 6 to 15 positive replies a week, closing 3 clients in the first weeks.](https://frontal.so/case-studies/palico) - [AirOps SaaS · Paid Media $9.6M total pipeline from one 90-day ABM campaign How one 90-day ABM campaign took AirOps from $536K to $2.9M in monthly pipeline: $9.6M total pipeline and a 4x return on $136K of ad spend.](https://frontal.so/case-studies/airops-abm) - [Chamelio Legal tech · GTM Services A booked meeting every fourth message, from one conference list How Chamelio turned founder-led outreach into a signal-driven outbound system, and booked a meeting for every fourth message sent into one conference list.](https://frontal.so/case-studies/chamelio) ## Want to see what this could look like for you? [Book a call](https://book.frontal.so)