Say you sell to VPs of Sales at 50 to 500-person software companies in the US. Dogo searches LinkedIn for exactly those people and keeps the ones who posted this month, so you know they are there to read a message. That's active people who fit.
- Your ICP's titles, regions and company sizes
- 2Everyone matching it
- 3Those who posted in the last 30 days
- 4Only the people who fit your ICP stay6.6 leads a run
What it reads
The search uses your agent's ICP: the titles your buyers have, the regions they are in and the size of company they work at. Of everyone who matches, only people who posted on LinkedIn this month come through, and each week brings people the last one didn't.
Every agent has this signal from the moment it is created. There is nothing to type; switch it off if you don't want it.
How well it works
- 6.6
- leads a run
- 90%
- of runs find someone
- 62%
- of leads kept
It brings the most leads per run of any signal, and almost every run finds someone. People keep 62% of them, fewer than for voices: these people match your ICP, but nothing they did says the problem is on their mind. It is also the newest signal, so treat its numbers as early.
When to use it
As a base under the other signals. It fills the weeks when voices are quiet and phrases aren't trending, and it is the strongest signal when your market posts little about the problem itself.
It does least when your ICP is loose. "Founders in the US" matches millions, and posting recently narrows that only so far. Tighten the titles and company size on the agent and this signal tightens with them.
How to get more from it
- Name the titles precisely. "VP Revenue Operations" finds your buyer. "Operations" finds everyone near a spreadsheet.
- Set a real company size range. It is the cheapest way to cut people who match the title but can't buy.
- Use your exclusions. Agencies, consultants and students who share your buyer's title are better removed in the ICP than skipped one by one.
How often it runs
Weekly. The pool of people who posted in the last 30 days changes slowly, so a daily search would mostly return the same people.
Other signals
- VoicesPeople who react to or comment on posts by someone your buyers follow.
- Engaged with posts aboutPeople who react to the most popular posts using a phrase.
- Posts aboutPeople who write posts using a phrase.
- Hiring forYour buyer at companies that posted a job for a title or keyword in the last week.
- CompetitorsPeople who react to a competitor's company posts.
- Comments onPeople who comment on a company's or a person's posts.
- One postEveryone who reacted to a single post you pick.
- Your own postsPeople who react to your company's posts.