The audience is already ideal
When a user posts about your product, the audience arrives pre-filtered: the poster has proven they're your customer, and the people who follow them tend to be like them. Ad platforms spend billions approximating a filter the follow graph already is.
Ad networks build machinery to guess who your customers are. The follow graph already sorted them.
Who posts? The users who value it most
Nobody writes a public post about a tool they opened once. An earned tier's posts come from people who use the product enough to want more of it.
Your ideal customer is not derived from analytics and reporting. It is simply whoever keeps posting.
Who reads it? People like the poster
Homophily: the tendency of people to connect with people like themselves. Named in sociology in the 1950s, and the reason a follow graph is already segmented.
A founder's replies are full of founders. A designer's timeline is designers. So a post from your customer lands on a cluster of people doing similar work with similar problems, which is where your next customer is. No interest categories, no lookalike model, no pixel.
What ad targeting is actually for
Lookalike audiences reconstruct exactly this: start from your customers, find people like them, pay to appear in front of them. It is expensive because the platform owns the graph and rents it back. A customer's own post skips the reconstruction, carried by a name the audience already chose to follow.
Why the post beats the ad even at equal reach
Two posts can reach the same hundred people and do different work. An ad is discounted on sight. A post from a real person the reader follows, about a tool they use, with the relationship on the label, is not. That is why the earned tier requires the disclosure and pays nothing on conversions: the post stays a post.
What this means for the price
The reward is not for reach in general. It is for reach into a cluster your ad budget spent years approximating. And it is why the reach bonus pays for what the post did rather than a follower count: a post noticed inside the poster's own graph is your ideal customer hearing about your product in public.