One founder, twenty right people a week

Money here buys a shorter path from a blank workspace to a sent campaign. Scrape.Email combines filtering by role, industry and location with scraping public pages and profiles, so you define the right people once and work from that set rather than stitching several tools together.

For a founder selling before there is a team, the value sits in the work you no longer do by hand. Enrichment and verification happen inside the same place where you keep saved leads and run campaigns, which removes the export, import and cross-checking that usually eats a founder's week.

The tiers are published as lifetimes rather than subscriptions. Scrape.Email lists Prospector lifetime, Agency lifetime and Enterprise lifetime, with the pricing table on softwareprogrammer.app. Read that table against the volume of contacts you expect to reach each week, not against a feature list alone.

Between the tiers, the question is how much weekly outreach you are actually running. A founder working alone towards twenty right people a week has a modest list requirement, so the lower tier is the natural starting point and the larger tiers become relevant when your saved leads and campaigns grow.

Scrape.Email gives you filters by role, industry and location, public page and profile scraping, contact enrichment and verification, plus API, webhooks and saved leads. Those capabilities frame what each tier can support, so compare them with the number of searches and verifications your week demands.

Because credits are used by successful work, the dividing line is volume rather than ambition. Estimate how many contacts you need to find and verify before you pick a tier, and treat the lifetime structure as a decision about how much completed work you expect to run.

Before you pay, test the filters against your real market. Run a search by role, industry and location for the people you actually sell to and look at what comes back. If the list is thin, that tells you more about fit than any feature comparison can.

Check how verification and saved leads behave across a working week. Scrape.Email verifies contacts, but verification is not permanence, so plan to re-check a saved list before you reuse it for a later campaign. Confirm that the API and webhooks cover any automation you intend to add later.

Finally, read the tier table with your own numbers in front of you. Results depend on public data, so some searches will return less than you expect. Size your expected weekly volume against the credits each tier provides before you choose, and leave room for the re-verification you will need.

An upgrade makes sense when your week is full and the lower tier is the constraint. If you are consistently reaching your twenty right people and still turning away searches, or if saved leads are piling up faster than you can verify them, the next tier is worth pricing against that workload.

Work through it as a founder would: list the searches and verifications you completed in a typical week, then compare that with what the higher tier supports. Scrape.Email keeps campaigns and leads in the same workspace, so the upgrade question is about capacity rather than learning a new tool.

If your volume has not grown, staying on the lower tier costs you nothing in capability. The filters, scraping, enrichment, verification, API and webhooks are the same product. Upgrade when the work justifies it, and keep re-verifying saved leads so the lists you pay to build stay usable.