A count far below the market you know usually means the filter set is too specific, not that the data is thin. Fix it by loosening in a defined order rather than at random.
- Start from one filter. Clear everything, set only the country, and read the number. Then add filters back one at a time and watch where the count collapses. That step is your problem.
- Broaden the industry. Standardized industry labels rarely match a niche description exactly. Pick the closest one or two broad labels and use keywords to express the niche instead.
- Loosen the role, not the seniority. Exact titles vary enormously between companies. A seniority band such as owner or C-level plus a couple of comma-separated titles catches far more than one precise string.
- Widen the size band. Employee counts are approximate by nature, so a narrow band cuts off companies that sit just outside it.
- Drop city-level geography and work at country or region level first.
The general rule: build broad and exclude deliberately. A wide base with a short exclusion list beats a stack of narrow filters, because every extra filter silently removes records that had incomplete metadata rather than the wrong metadata.
Counts are free and unlimited on every tier, so iterating costs nothing but seconds.
If a segment you genuinely expect to be large still comes back tiny after all of this, send the filter set to support@argorant.com.