u/Baptistenl

Hey folks, honest question for the sub. Between Hyros and TripleWhale for Meta attribution, which one are you actually running and where does it consistently give you numbers you just don't believe?

Every thread I read here lands in the same place: dashboards feel optimistic, nobody fully trusts the ROAS they see, but nobody wants to pull the plug either.

More curious about where the cracks show up after real use than what the demo promises.

Where have you landed on this?

When the Meta MCP announcement dropped this week everyone in my feed was losing their mind about it, AI agents querying your ad account directly, natural language insights, the whole pitch.

And honestly the demo looks clean. But I keep hitting the same wall: this is still Meta reporting on Meta. The signal that feeds the model is the same signal that has been inflated since iOS14. Smarter interface on top of biased inputs is still biased outputs, just dressed up nicer.

What makes me uneasy is that the MCP framing makes it feel like a neutral third-party analyst is looking at your account. It is not. Meta controls what gets surfaced, what counts as a conversion, what the model is rewarded for telling you. Could be wrong here, but that feels like a meaningful thing to name before we all start piping this into our reporting stacks.

Curious if anyone has actually tested it or if the hype is just outrunning the reality. Where am I wrong on this?