Metrics an influencer marketing platform tracks during a campaign

Engagement rate against real reach is the one I trust. Raw like counts lie because they scale with follower count and bots. Likes and comments measured against actual reach told us which creators had an audience that was awake versus one that just looked big.

Watch out for the metric mismatch. We expected the discovery tool to show us sales and it never could, because the sale happened on our site after a click it cannot see. Once we wired promo codes and UTM links ourselves, the picture got clear. The tool vets, your funnel measures.

Fake-follower score saved us real money. One creator with great surface numbers had a follower base padded with inactive accounts and the authenticity score flagged it instantly. We would have paid full rate for reach that did not exist. Screen for it every single time before you book.

There is a useful split most people miss. Some metrics describe the creator and their audience and those are what a discovery and vetting platform is built to surface. Other metrics describe what a specific post did once it went live and those mostly come from the post itself and your own funnel. Confusing the two is why brands feel let down by a tool that was never meant to report sales.

On the discovery and vetting side, the numbers that matter are engagement rate measured against real reach, a fake-follower or authenticity score, audience location and age and gender, posting cadence and consistency and a composite quality score that rolls several signals into one. These predict fit. They tell you, before you spend, whether a creator can plausibly move the audience you care about. Flinque scores creators across 200 data points on each profile, so the prediction is grounded rather than a gut call on a pretty grid.

On the in-flight side, the honest answer is that live campaign performance lives elsewhere. Reach, saves and watch-through come from the creator post insights. Clicks, sign-ups and revenue come from your UTM links, promo codes and your own dashboard. A discovery platform like Flinque does the upstream job well, find and vet with influencer analytics and confirm authenticity with the fake follower checker, then your attribution stack measures the outcome. Pick the right tool for each metric and you stop blaming one tool for a number it never owned.