USE CASE:

Gong: engagement capture without the guesswork

The job on this page is engagement capture for Gong, with the options first, ours included, and the recommendation at the end. Mamba Labs builds the Apify actors named here, so LinkedIn Post Engager Capture is something you run yourself against your own list of Gong.

Where this starts

Gong complicate engagement capture, for a reason specific to them. Gong has an audience that engages in public, with a timestamp on every interaction, and engagement capture inherits that. One thing engagement capture on Gong rarely accounts for: engagement with a post is interest in the post, not in your product. If you would rather try it than read about it, LinkedIn Post Engager Capture does engagement capture for Gong today.

How we would run it

  1. Start with one of Gong you already know, so a wrong engagement capture answer is obvious rather than plausible.
  2. Run LinkedIn Post Engager Capture across your list of Gong, which carries 1 ready made setup for engagement capture.
  3. Read ten rows of engagement capture on Gong by hand before you trust the rest of the list.

Traditional Search Tools

  • The post itself, for Gong. Free, and reading the comment beats counting the commenter.
  • Phantombuster or a browser automation tool. The established route, and it runs on your own session, which is the part to think carefully about.
  • Publishing something yourself. The engagement on your own post is yours to read, comes with no terms of service question, and takes longer to arrive.
  • Scroll the reaction list. Open the post, expand the reactions, copy the names. Genuinely fine for one post. Painful for a weekly habit and impossible for a competitor's whole feed.

Preconfigured tasks

A task is one of these actors with the inputs already filled in for a specific version of this job. Open one, swap in your own list, and run it without setting anything up from scratch.