When you're enriching at scale, you usually don't want every person at a company. You want the decision-makers — the VPs, the heads of department, the buyers who can actually sign your contract. prospiq's filtering lets you narrow results by job title and seniority before you spend credits revealing them.
Where filters apply
Filters work in two places:
- Company search — when you're looking for everyone at a target company, filters narrow which results we show
- Bulk enrich — when you're processing a large list, filters can exclude contacts whose titles don't match
Single search doesn't have filters because you've already specified exactly one person.
Filtering by job title
Title filters let you include or exclude based on what's in the person's job title. You can:
- Include keywords — only show contacts whose title contains specific words (e.g. "VP" or "Director" or "Marketing")
- Exclude keywords — hide contacts whose title contains specific words (e.g. exclude "Intern" or "Assistant" or "Coordinator")
You can combine both: include "VP" or "Director", exclude "Assistant". That'll surface senior leadership while filtering out the supporting roles.
Filtering by seniority
Seniority filters group titles by level rather than by keyword. You can target:
- C-level — CEO, CFO, CTO, COO, CMO, etc.
- VP — VPs and SVPs across functions
- Director — directors and senior directors
- Manager — managers and senior managers
- Individual contributor — non-management roles
Pick one level or multiple. If you want C-suite and VPs but nothing below, select those two and the rest are excluded.
Filtering by department
Department filters narrow by functional area:
- Sales
- Marketing
- Engineering / Product
- Finance
- HR / People
- Operations
- Legal
- Customer Success / Support
- Other
Multiple selections work like an OR — selecting Sales and Marketing returns people in either.
How filters interact with credits
Filters apply before credit-charging happens. We only charge for the contacts you actually reveal, so filtering down a list of 200 people to 20 decision-makers means you're spending credits only on those 20 — not on the 180 you filtered out.
This is the main reason filtering matters: at scale, the right filters can be the difference between a 50-credit campaign and a 500-credit one, with the same end result.
Saving filter sets
If you find yourself using the same filter combination repeatedly (e.g. "VP and above, in Sales or Marketing"), you can save it as a preset. The next time you start a search or bulk job, you can apply that preset in one click rather than re-selecting the filters each time.
When filters don't help
A few cases where filters can't do what you want:
- The data we have doesn't include the field you're filtering on. Some contacts in our system don't have a verified seniority or department tag. They'll either be excluded (strict filtering) or shown (lenient filtering). The interface lets you choose which way to handle this.
- You're targeting a specific named person. Filters are for "find me people who match these criteria." If you already know who you want, single search is faster.
- Your filter is too narrow. Filtering to "VP of Engineering at Series B startups in fintech with 50-200 employees" will return very few results even at large companies. Loosen the filters if you're getting empty results.