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Engager Mining

The people liking and commenting on your competitors' and your niche creators' posts have raised their hands. Go and talk to them.

The original

A-leads, a B2B contact-data company in a market dominated by Apollo.io, searched LinkedIn for busy posts about Apollo and collected everyone who liked, commented on or shared them. It kept only senior sales leaders at companies of ten or more people who scored at least 80% against its ideal customer profile, sent each a connection request, and pitched A-leads as a tool built for teams that use Apollo and ZoomInfo.

Of 4,100 connection requests, 2,170 were accepted (53%), 410 people replied (19% of those who accepted) and 150 replies were positive, and at least five contracts were signed at $10,000 or more a year (Sendpilot case study, undated). Sendpilot sells the tool used to collect the engagers, positive replies are not qualified pipeline, and there was no control group.

53%
of connection requests accepted
19%
reply rate from engagers who accepted
150
positive replies from 4,100 requests

Best for

B2B companies selling to people who are active on LinkedIn.

Why it works

Engagement is a live sign of interest with a reason to write built in: the targeting is warm even when the channel is cold. It matters more as LinkedIn gets noisier: replies to LinkedIn connection notes have fallen 37% (Overloop, a sales software company, June 2026), so a message needs a reason to exist.

How it runs

  1. List 10 to 20 accounts whose audience is your buyers: competitors, niche creators, trade media.
  2. Each week, pull the people engaging with their posts, with tools such as Trigify or Apify feeding Clay, or by hand.
  3. Check each one against your ideal customer, then find and verify their email.
  4. Write with the shared context and a useful observation, not a pitch.
  5. Connect on LinkedIn only after they reply.
  6. Log replies by source account and keep the accounts that convert.

Proof

Vendor. A-leads' figures from Sendpilot's case study (undated). Overloop's 2026 benchmarks on falling LinkedIn connection-note replies (June 2026).

Cost to test, and when to stop

Cost to test. Data tools at tens to a few hundred dollars a month, or an hour a week by hand.

Kill it if after a month and 200 contacts it still trails the reply rate of your ordinary list.

Watch-outs

Scraping LinkedIn breaches its user agreement: treat it as a research signal, not a mass list, and keep volumes low. Naming the exact post you saw can feel like surveillance, so keep it light. Data protection law applies to every name you collect, so keep only what you use.

Pairs with

The Founder Feed, Boost the Founder, Trigger Outreach

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