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Case study · Recruiting

Exec search firm: 8 placements/year to 14/half

A boutique executive search firm specializing in fintech engineering leadership tripled placement output by replacing generic InMail with AI-personalized outreach referencing each candidate's specific GitHub activity and recent talks.

Composite case study. The numbers and patterns in this case study reflect outcomes typical of Infonet customers in this segment. Specific company identification has been anonymized at customer request. Outcomes vary by team, ICP, and execution discipline.

The numbers

14
Placements in the 6 months post-Infonet
8/year
Placement rate before Infonet
4.2x
Senior-engineer reply rate lift
0
Recruiter profile restrictions in 6 months

Before

  • Three recruiters using LinkedIn Recruiter and InMail
  • Average 8 placements per year across the team (~2.6 per recruiter)
  • Senior-engineer reply rate ~4% on InMail outreach
  • Recruiters limited by 30-50 InMail credits/month each
  • Burning out on the volume needed to hit placement quota

The challenge

Senior fintech engineers see hundreds of recruiter messages per quarter. Generic 'I have a VP Engineering role at a fintech' messages get auto-deleted. The firm needed to stand out, but writing genuinely personalized outreach to 200 candidates per recruiter per month was unsustainable.

What they did with Infonet

  • Each recruiter got an Infonet profile with dedicated home IP
  • Voice library calibrated per recruiter to preserve their distinctive style
  • AI configured to read each candidate's LinkedIn profile, recent posts, GitHub activity, and conference talks
  • Outreach mix changed: connection requests (free) became primary channel, InMail saved for prospects who didn't accept
  • Pipeline integrated with Greenhouse for one-click candidate hand-off

After

  • 14 placements in the next 6 months (up from 4 placements in the prior 6-month period)
  • Reply rate jumped from 4% on InMail to 17% on AI-personalized connection requests
  • Outreach volume tripled per recruiter (300/month vs 100/month) without restriction signals
  • InMail credits redirected to high-value prospects who didn't accept connection requests
  • Recruiter quote: 'The AI writes openers I would have written if I had the time'

The lesson

Recruiting is a personalization arms race. Templated 'I have an opportunity for you' messages tank reply rates. AI synthesis that references a candidate's specific recent GitHub project lifts reply rates 4x — not because AI is magic, but because it makes the personalization volume that recruiters can't sustain manually.

Tooling stack

Infonet $39/mo per recruiter (3 profiles = $117/mo). LinkedIn Recruiter retained for sourcing. Greenhouse for ATS.

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