Brand Intelligence reads your creative the way a strategist would and tells you what to run next. It scores you against yourself, not against the internet.
Everything comes from your library
Every insight on the tab is built from your own work: the posts and ads you’ve imported, the competitors you chose to track, and conversion data from creatives you’ve actually served.
We don’t blend you into an industry index or borrow another brand’s playbook. A piece is strong because it beats your typical work, on your platforms, with your audience. That’s why scores don’t transfer between brands, and why you won’t see a percentile against “the category.” Those numbers feel good. They don’t tell you what to make Monday.
If your library is still thin, sections stay quiet. We’d rather show you nothing than a generic best practice.
We look at how the work is made
Sorting by likes tells you what got attention. It doesn’t tell you why, or whether the next cut should look the same.
So we break each piece into its parts: the idea, the craft, who it’s talking to, how it showed up in the feed. Then we look for combinations that keep repeating in your winners. Those are your recipes. We only name one when we can point at the posts behind it.
Your fingerprint isn’t a grade. It’s the shape of your library. Two brands in the same category usually look nothing alike.
Three rules behind every number
Relative. Engagement, conversion, and “run this next” are always measured against your own baseline. If a platform didn’t report a metric, we skip it. A gap never gets scored as a zero.
Current. Recent work outweighs the archive. Last year’s hero doesn’t stay on top just because it had longer to collect numbers.
Earned. Callouts fire when the lift is real. A median post doesn’t get a trophy. Once conversion is connected, a piece is marked proven only when your results say so.
Attention now, proof later
Before you connect a conversion tag, rankings are a strong brief built on attention: what your audience actually watched and shared. Once the tag reports, the same system starts learning from results. The labels stay the same. The evidence underneath them gets better.
Attention tells you what to test. Conversion tells you what to scale.
Every recommendation links to the work
This is a brief, not a report you file.
Each play points to something you can open: the source post, the pattern it belongs to, why it’s the lead right now. If we can’t show the evidence, we don’t make the claim. Alternates are picked to give you different ideas, not three versions of the same one.
Same rule on competitors. We analyze the brands you add, from public ad sources, and we won’t draw a fingerprint for a rival we haven’t actually read.
It sharpens as you feed it
More of your work. The competitors you actually care about. A conversion tag on your Spaceback-served ads.
Intelligence re-reads your brand as the library grows. It’s not a one-time audit, and it never trains on anyone else’s data. Your fingerprints, baselines, and conversion reads stay in your workspace.