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05Module 5 of 6 · 6 min read · Free

Read your numbers like a brand does

When a growth lead evaluates you, they are not scrolling your feed for vibes. They are asking one question: if I put budget here, what comes back? This module is about seeing your own analytics through that lens — which numbers carry information, which are decoration, and how to present yours so the buyer can say yes.

The vanity trap

Follower count, total likes, and lifetime views are stock numbers — they describe accumulation, not what a post next week will do. A brand is buying next week. The numbers that predict it are flow numbers: recent median views, view-through, click-through, and who exactly is watching.

The tell of a vanity metric is that it has no denominator. "2 million views" means nothing by itself — over how many posts, in what period, from which audience? Any number you quote to a brand should survive the question "out of what?". A creator who reports "my last 10 reels have a 12,000-view median, 60% of viewers in India, top segments engineering and product" sounds like someone who reads dashboards for a living — because the buyer does.

What brands actually buy

  • Recent median views per format — your real inventory (Module 3). The median of the last 10, not the best ever.
  • View-through and retention — of the people reached, how many actually consumed it? This is what separates an audience from a follower list.
  • Audience composition — geography, roles, interests. To a dev-tools brand, 12,000 developers watching beats 400,000 general viewers, because the second group will never convert. Composition is your pricing power.
  • Click-through and saves/shares — evidence your audience acts, not just watches. Saves and shares are the strongest organic signals because they cost the viewer something.
  • Comment quality — twenty comments asking "what's the pricing?" are worth more than two hundred emoji. Brands read them.
  • Delivery history — did past sponsored posts perform in line with your organic median? A big organic-to-sponsored drop is the number sophisticated buyers check first.

Read your own dashboard monthly

  1. 1Median views per format, last 10 posts — track it monthly. Trend matters more than level.
  2. 2Retention curves on video — find the timestamp where you lose people. It is almost always the same structural mistake repeating (usually the intro; Module 1).
  3. 3Audience breakdown — confirm your audience geography and profile match the content market you sell. Drift here quietly erodes what brands will pay.
  4. 4Sponsored versus organic — compare every branded post's views against your organic median. If sponsored consistently underperforms, the fix is craft (integrations in your own format), not more deals.
  5. 5Traffic sources — how much of your reach is non-followers? High non-follower reach means the algorithm is still distributing you; it is also why view-based pricing beats follower-based pricing for you.

Honest numbers are a strategy

It is tempting to lead with your biggest number — the one viral post, the lifetime total. Resist it. A buyer who books you off an outlier will measure you against it, and the relationship dies at the first normal result. Quote your median, note your ceiling, and let the campaign over-deliver instead of under-delivering.

This is also how Orca is built to work: your connected account data — measured, not claimed — is what brands see, and campaign results are shared with both sides identically. You cannot out-market your own dashboard, so the winning move is to know it cold and quote it straight. Creators with modest but precisely-described audiences close deals that bigger, vaguer accounts lose.