Datadog and the engagement capture problem

The problem

Datadog frustrate engagement capture, for a reason specific to them. Datadog has an audience that engages in public, with a timestamp on every interaction, which shapes engagement capture. Worth knowing about Datadog, since engagement capture inherits it: engagement with a post is interest in the post, not in your product. There is 1 runnable example of engagement capture for Datadog below.

Why anyone bothers

It is the most specific intent signal available without a data budget, and Datadog is where it actually happens.

The method

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

Traditional Search Tools

• The post itself, for Datadog. 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.

Mamba Labs Apify Actors

These are the actors we built for this job. If yours is not covered here, search from the bar at the top of the page or contact us here and tell us what you need.

• LinkedIn Post Engager Capture1 preconfigured task on this page's job.