Choosing a Scrape.Email tier when every client needs its own list

Look at what each tier lets you do rather than at the label on it. For your team, the useful difference is how much saved work and search volume a tier carries, because six or seven clients each need their own filtered list by role, industry and location. Compare tiers on that basis before anything else.

Scrape.Email works by scraping public pages and profiles, then enriching and verifying the contacts it finds. For an agency, that means each client's prospecting starts from a different search definition, not from one shared export. Read the price list with that in mind: you are buying repeated, separated searches, not a single bulk pull.

Tiers are published as Prospector, Agency and Enterprise, and the price source is the lifetime list on softwareprogrammer.app. Read that table yourself and match each tier against your client count. Do not assume the middle name suits an agency; check what volume and saved work each one carries before you decide.

Start from your client count and your monthly contact volume, then work backwards. Seven clients with separate searches and separate verification runs is a heavier pattern than one company prospecting for itself. The tier you choose has to absorb that repeated work without forcing you to merge clients into one list.

With filters by role, industry and location, you can define a distinct search per client and save it. Saved leads and webhooks let results flow into your own systems, which is how you keep client A's contacts out of client B's inbox. That separation matters more than the tier name on the invoice.

Where the middle tier sits between a single user and an enterprise arrangement, treat it as the one to test first if your client count is modest. Confirm what it includes rather than guessing from the label, and check that it supports the number of separate saved searches your client roster needs.

The main risk is expecting one account to behave like seven. If your workflow depends on every client's leads staying apart, verify that saved searches and exports can be kept distinct before you pay for a tier. A shared inbox problem starts with a shared list, not with the sending tool.

A second risk sits in the data itself. Results depend on public sources, so a client in a quiet sector will return a thinner list than one in a well-documented field. Plan your promises to clients around what public data actually offers, and do not quote lead volumes you have not tested.

The third risk is treating verification as permanent. An address checked today can change, so build a re-check step into each campaign rather than reusing an old export. Credits are used by successful work, which means your balance reflects completed searches and checks, so forecast that volume per client.

Compare the tiers on three things: how many separate client searches you can keep, how much completed work your credits cover, and whether saved leads and webhooks fit how you hand results to clients. Put those three against your roster of six or seven and the choice narrows quickly.

A useful method is to run one client through the lowest tier you are considering and watch the credits move. Count the searches and verifications that client actually needs, then multiply by your client count. That gives you a rough volume figure to hold against each tier's published allowance.

If the lower tier cannot hold seven separated searches with room to re-verify, step up rather than stretching it. Moving from one tier to the next should be about capacity and separation, not about features you will never touch. Read the lifetime table on softwareprogrammer.app and match it to the volume you measured.