Panels list thousands of service variants. A panel advertising Instagram followers from $0.0001 per 1,000 is quoting one promotional row out of a hundred and forty; its median rate across the same service can be five figures higher in percentage terms.

We hit this directly while building the dataset. One provider listed a branded row at $0.0001 against a median of $1.53 across its other 145 followers variants. Quoting that number would have made it the cheapest panel on the site for everything it sells, off a single row nobody can actually buy at scale.

So the useful question is not "what is the lowest number on the page" but "what does this panel charge across the service, and how does that sit against everyone else".

Being closer to the source. Panels that resell another panel's catalogue inherit its pricing plus a margin, so a reseller of a reseller is structurally more expensive. Service-ID patterns often give this away, and we record the signal where we can detect it.

Volume commitments. Wholesale pricing assumes you are ordering continuously, and the cheapest tiers frequently carry minimum orders that make no sense for a one-off purchase.

Lower service quality. Cheap and high-retention rarely coexist. A rate far beneath the market median usually corresponds to engagement that will not survive a platform sweep.

Compare the panel's rate against the median for that specific service across every provider, which is exactly what our service pages show. A provider 40% under the median is competitive; one 99% under it is quoting a teaser.

Then check the spread. We publish how many variants a provider sells for a service alongside its cheapest, so you can tell a panel with one keen price from one with genuinely low pricing throughout.

And check the direction of travel. Because every capture is kept, you can see whether a panel has been quietly raising prices since the rate it is advertising was set.