Solutions: how teams use B2B Database Network

Most contact-data tools describe themselves by their features — the size of the database, the number of filters, the integrations. That tells you what the tool is, not whether it fits the way you actually work. The truth is that the same capabilities matter very differently depending on your role. A free re-reveal is a nice-to-have for a one-off campaign and a load-bearing feature for a recruiter nurturing a passive candidate for a year. Credits that never expire are a small detail for steady, predictable usage and the difference between profit and waste for an agency whose clients ramp and pause on their own timelines. So instead of one generic pitch, we've written down how the platform serves each kind of team.

What stays constant across every use case are the honesty pillars, because they are the reason the workflow works at all. Every email you reveal carries a verdict — valid, catch-all, risky, or invalid — and a verified_at freshness date, so you always know what you're getting before you spend. Catch-all addresses are labelled honestly and never counted as verified, which is the single most common way other tools quietly inflate their accuracy and hand you a list that bounces. When an address comes back invalid at export, the credit is refunded automatically, so you only ever pay for people you can actually reach. Credits roll over and never expire. And anyone can remove their details through the self-serve Privacy Center, with suppression applied everywhere — search, exports, and the API — permanently.

Those pillars are not marketing garnish. For a sales team, the verdict labelling is what keeps a bounce-heavy list from poisoning the sending domain that the whole quota depends on. For an agency, the refund on invalids is what makes the per-client cost of data a fixed, modelable number instead of a surprise. For a recruiter, never-expiring credits are what let a months-long executive search keep its pipeline. For a founder, the free start and live market sizing are what turn a week of list-wrangling into an afternoon. For a demand-gen lead, enrichment plus never-expiring credits are what make quarterly data hygiene a calendar item rather than a budget fight. The same database, read through five different jobs.

There's also a shared backbone underneath all five. One faceted search with live counts lets you size any audience before you spend — your total addressable market, your territory, your talent pool, your target-account coverage, all the same instrument. One credit pool feeds everything, whether you reveal through the app or call the REST API and the Model Context Protocol server for AI-native and automated workflows. Two databases — B2B decision-makers and consumer contacts — sit behind a single segment selector, so you switch datasets without switching tools. Whatever your role, you learn the workflow once and it scales with you, from your first free list to your first automated pipeline.

Pick the page that matches your job below. Each one is a full walkthrough: the specific data problems that role faces today, how the platform changes them, the end-to-end workflow, the features that matter most for that work, a comparison table grounded in practitioner reality, and a playbook for what good looks like. If more than one fits — a founder who is also doing marketing, an agency that also recruits — read both; the account, the credits, and the data are shared across all of them.