What Is a Business Contact? A Procurement Guide for B2B Sales Data, APIs, and Deliverability

I manage our sales tooling budget — around $220,000 annually across prospecting, verification, and outreach. I've negotiated with more than 40 vendors over 6 years and logged every invoice in our cost-tracking sheet. So when someone on our RevOps team asked me last quarter whether we should "buy a contact database or just use an API," I didn't give a clean answer. I gave a framework.

Because the real answer depends entirely on where your team sits right now.

Three scenarios, three different answers

In my experience, B2B teams asking about business contacts and sales data APIs fall into one of three buckets:

• Scenario A: You're still hunting leads manually — 1–3 SDRs, maybe 1,500–2,000 records a month.
• Scenario B: You have lists, but the data quality is slipping — 3–15 SDRs, bounce rates creeping up.
• Scenario C: You're sending at volume and deliverability is breaking — 15+ SDRs or you're an agency running multiple domains.

Each one needs a different investment priority. Getting this wrong cost us roughly $14,000 in wasted subscriptions in 2023 — tools we bought too early or held onto too long.

Scenario A: Manual prospecting — and what a business contact actually is

The clearest definition I've landed on: a business contact is a person you can reach in a professional context, whose role, company, and work email are verifiable through public or licensed sources. That's it. It's not a personal email. It's not a scraped address with no role attached.

I've watched teams treat "business contact" as "any email I can find on LinkedIn." That distinction matters — both for data protection rules and for reply rates. A title-less, role-less email is basically a cold call with worse odds.

So when should a B2B sales team actually use business contacts? When you can match a role to a pain point you solve. If you sell RevOps tooling, a "Head of Revenue Operations at a 200-person SaaS company" is a business contact. A random employee at the same company is not.

What this looks like in practice: use a decision maker search rather than a bulk list export. At this stage, filtering by seniority, department, and headcount is more valuable than volume. Tools like okki-go include decision maker search alongside its contact database — the point is to narrow before you export, not after.

Cost reality: a junior SDR spending 25% of their week on manual list-building is roughly $15,000/year in hidden labor cost. If you're under 2,000 records a month, the math usually favors a paid seat over an API license.

Scenario B: Decaying data — API email verification and company data

Between 3 and 15 SDRs is where I see the most waste. Teams have lists from three different tools, emails go stale at roughly 2–3% per month, and inboxes start getting hit with bounces.

This is where two things matter: API email verification documentation and API company data.

On verification — anyone promising "100% accurate" email verification is misrepresenting what the technology can do. No verifier is perfect. What you should look for is a documented API that tells you what it checks: MX records, SMTP handshake, catch-all detection, greylisting behavior. Per the FTC's advertising guidance, vendors making accuracy claims need substantiation — and "100% accurate" is a claim no verification vendor can honestly make. If a sales rep uses that language, ask for the documentation behind it.

What the API actually does is remove the obviously bad records: invalid syntax, dead domains, known disposable addresses, and role-based aliases you didn't mean to send to. In our case, adding verification through an API cut our bounce rate from around 9% to under 2% in about six weeks.

On company data — enrichment APIs pull firmographic details (headcount, industry, funding, tech stack) into your CRM automatically. That matters because enrichment happens before an SDR wastes a call on a company that's the wrong size or wrong industry.

One thing I wish I'd tracked earlier: the cost of re-verifying contacts after they went stale. We were double-paying — once to buy the record, again to verify it months later. If you're between 3–15 SDRs, budget for continuous verification, not one-time cleanup.

Cost reality: a verification API at 10,000 records/month typically lands between $400–$900 depending on the provider's depth of checks. Compare that against the cost of a domain reputation hit — which I've seen push a single SDR's monthly pipeline down by 30% for two months.

Scenario C: Volume sending — SPF, DKIM, DMARC aren't optional

Past 15 SDRs, or as an agency sending on behalf of clients, deliverability becomes the whole game.

SPF, DKIM, and DMARC are email authentication standards that mailbox providers (Google, Microsoft, Yahoo) use to decide whether your email is trustworthy. Without them, Gmail and Outlook either reject your mail outright or quietly shunt it to spam. I don't have hard data on how many outbound teams still skip this setup, but based on the vendor calls I've sat in on, my sense is it's more than anyone admits.

Quick version:

• SPF — a DNS record listing which servers are allowed to send on your domain's behalf.
• DKIM — a cryptographic signature proving the email wasn't altered in transit.
• DMARC — a policy that tells receiving servers what to do if SPF or DKIM fails, and where to send reports.

Set all three up before you start volume sending, not after. I still kick myself for not pushing this earlier — we burned a secondary domain in early 2024 because we ramped sends before DMARC was enforced. Rebuilding that domain's reputation took almost five months.

For teams running outreach through okki-go or similar platforms, okki-go's SPF/DKIM/DMARC guidance is built into the onboarding flow — which is useful if you don't have someone on staff who's done DNS configuration before.

Cost reality: a deliverability consultant charges $2,000–$6,000 for a one-time audit. Setting it up yourself is free once you understand the records — but plan for a week of DNS propagation and testing.

How to figure out which scenario you're in

Take these three numbers:

1. Monthly records added: under 2,000 → Scenario A. 2,000–15,000 → Scenario B. Over 15,000 → Scenario C.
2. Current bounce rate: under 3% → good. 3–7% → you're in Scenario B territory. Above 7% → fix before anything else.
3. Number of sending domains: one shared domain → you're probably A or B. Multiple domains, especially across clients → Scenario C.

If you land in two buckets, default to the higher one. Data problems compound — a verification fix is cheaper than a reputation rebuild.

I don't have hard data on what the ideal ratio of tooling spend to SDR headcount should be. What I can say anecdotally: after six years of tracking this, teams spending roughly 8–12% of their SDR labor cost on data and deliverability tooling tend to see the best pipeline-per-dollar. Below that, the manual work eats the savings. Above that, you're buying tooling you won't fully use.

Pick your scenario. Then buy only what that scenario needs. That's the whole framework.