What B2B contact data should cost

There is no single market rate for a contact record, which is why vendor quotes vary so widely for what looks like the same thing. The variation is real, but it usually comes from what is being counted rather than from one vendor being expensive.

The four pricing models

Per credit

You buy a balance and spend it revealing records. Common in self serve tools. The trap is that credits often expire annually, and unused balance is silently forfeited. Effective cost per record is your spend divided by credits actually used, not credits purchased.

Per seat

Priced by user, usually with a fair use cap. Fine for small teams with steady usage, poor for bursty work, because you pay the same in a quiet month.

Per record

The cleanest to compare, since you pay for what you receive. Watch the definition of a billable record: some providers bill a partial match, where only firmographics resolved and no contact detail was returned.

Flat file licence

A bulk dataset for a fixed fee, often annual. Lowest unit cost at volume and the usual choice for enrichment of a large database, but it decays from the day it is delivered unless a refresh is contracted.

What actually moves the price

• Field depth. A verified work email costs less than a direct dial mobile, which costs less than both plus technographic and firmographic attributes.
• Geography. North American data is the cheapest and most abundant. EMEA costs more, and APAC coverage frequently requires regional specialists at a premium.
• Volume commitment. Unit price falls steeply with committed volume, which is the entire basis of pooled buying.
• Refresh frequency. Contact data decays as people change jobs. A dataset refreshed quarterly costs more than a static one, and is usually worth it.

Normalising quotes so they can be compared

Convert every quote to cost per usable record. Three steps:

1. Run the same sample list through each provider and record the match rate for the fields you actually need.
2. Divide annual cost by the number of records you realistically expect to use in a year, not the plan's ceiling.
3. Apply the match rate. A cheaper provider matching 45% of your list is more expensive per usable record than a pricier one matching 80%.

Most buyers skip step three, which is why the apparently cheapest quote so often turns out not to be.

Costs that do not appear on the quote

Deduplication is the big one. If you are re-acquiring records already in your CRM, you are paying twice for the same contact, and at scale that is frequently a double digit percentage of spend. Ask whether suppression against your existing database happens before billing or after.

Then there is stranded balance from expiring credits, and the administrative cost of several contracts with staggered renewals. Neither shows up in a per record figure, and both are real.

Whatever the model, sourcing documentation should come with it. The GDPR makes lawful basis a question you will eventually be asked to answer, and the answer needs to come from the provider.

Common questions