The match
Matchmaking
A niche filter hands you creators who are right by category and wrong by every other measure. Acurrate matches on what your brand actually is — read from your own site and product photography — against what each creator actually publishes.
Last updated
Where this came from
We built matchmaking because a category filter failed in front of us. Putting a shortlist together for a luxury resortwear label, we filtered on womenswear — and got fashion creators with nothing whatsoever in common with the brand. Different customer, different price level, a completely different look. Every one of them correctly tagged, and not one of them right. A category is not a match, and that is the whole problem.
Two cards, compared
- Your brand card. We read your website, your product catalogue and your product photography, and write down what you actually sell: the products, who buys them, the price level you sit at, and how the brand looks and feels. You never fill in a form to get this — it comes from what you have already published.
- Every creator’s card. Built the same way, from what a creator actually publishes — their posts and how they describe themselves: the subject matter, how they treat it, who they are talking to. Their follower count is not in it, and neither are their brand deals — those are read fresh at the moment you search, so they can never go stale in a way we cannot correct.
- The comparison. When you search, we compare your card against the creators’ cards there and then. Nothing is decided in advance, and no one sits and reviews pairings — which is why it can rank a catalogue this size in the time a page takes to load.
What counts as a match depends on what you sell
How much the look matters is not the same for every brand, and treating it as a constant is how you get a beautiful shortlist that sells nothing. For a resortwear label the look carries most of the judgement — the aesthetic a creator projects is very close to the product itself. For a store selling something functional it barely matters, and what does matter is content style: whether this creator explains and demonstrates things to people who are deciding what to buy. The look counts for the brands whose look we can read, and is left out entirely for the rest. It is one reason two stores in the same category get genuinely different shortlists from us.
Where the match goes
Fit is one half of the ranking. It is combined with how good a creator is — a real, genuinely-engaged audience — into AcuScore, the single number the shortlist is ordered by. What a creator is likely to earn you is a separate question with its own answer: Real Reach against your own store economics. Fit decides who belongs on the list. The forecast decides what they are worth.
One thing we will not do here is put a percentage on it. We can tell you what the match is built from and why we think it is the right thing to compare — that argument is above, and you are welcome to disagree with it. We are not going to tell you it is ninety-something percent accurate, because we have not yet run the graded round against human judgement that would earn a number like that, and every tool in this category quotes one anyway. It is a considered argument about what predicts fit for your store, improving as the grading rounds come back — not a measured claim wearing a lab coat.