How Metrix works.

Pick a niche or a few creators. Metrix collects public data on a schedule and turns it into relevance and momentum signals you can check and act on.

For creator teams

1. Choose a niche, or start from a few creators you already know.
2. Let collection populate. First results and history depend on coverage, so there is no instant-results promise.
3. Inspect each creator's relevance, the time of each observation, and the momentum signals.
4. Compare a post with its creator's own baseline.
5. Follow the creators that look promising and set up the alerts available to you.
6. Bring the evidence into content research or partnership prospecting.

For ecommerce research

1. Define a product category and a watchlist of creators who cover it.
2. Inspect product-related content and the discussion around it.
3. Compare observed interest over time.
4. When interest looks like it is cooling, check first whether the data is stale or missing. A gap in observations is not a drop in demand.
5. Test any sales hypothesis against independent commercial outcomes, such as your own sales data.

What the signals mean

Popularity

How much attention an item has received so far, such as views.

Velocity

How fast that attention is changing, measured as a percentage change over 6 hour, 24 hour, 72 hour and 7 day windows.

Acceleration

Whether velocity itself is rising or falling. It needs three ordered observations, so a new item may not have one yet.

Niche affinity

How closely a creator, hashtag or video fits a niche. It answers "is this on topic?", which is a different question from "is this trending?".

Relative performance

A post's views divided by its creator's average views.

A worked example

Evidence and freshness

Every signal rests on timestamped observations. Where a measurement is missing or stale, Metrix reports it as unavailable instead of showing a flat or cooling line. Read a signal together with its observation time.

See how the data reaches your own tools →