B2B intent data tools that don't overpromise lead scores

What to take away

• Intent data answers a different question than lead scoring, and vendors that sell both rarely separate them.
• Ask for the source of the signal, the refresh interval and the identity match rate before you discuss price.
• Three answers should end the conversation: no sample data, no definition of a qualified account, and no named data source.
• The contract must state what happens when match rates fall below the level you tested.
• Test on your own closed-won accounts for 30 days before you sign anything annual.

Scopes that are actually different jobs

Buyer intent data platforms collect signals from publishers, review sites, job boards and content networks. They tell you an organization showed interest somewhere. B2B lead scoring tools rank named people against your own historical conversion data. These are separate products with separate failure modes, and a vendor selling one as the other is a warning sign.

A third category, account-level intent, aggregates multiple contacts at one firm. That is closer to what most US pipeline teams actually need, because B2B buying involves several people. Our guide to running account-based marketing covers why account scope changes the tooling question.

Five tools worth testing

Each tool below separates raw intent signal from lead scoring enough to be useful for US teams. Ask them all the questions in the next section.

• Bombora: Publishes Company Surge scores from a B2B content syndication network. Suits teams that want named publisher sources and account-level intent. Pricing is usually annual based on account volume and seats.
• 6sense: Combines intent with predictive buying stage and buying center. Good for ABM teams that need account and contact scoring together. No public per seat price.
• Demandbase One: Sources intent from its advertising network and IP data. Fits enterprise ABM programs that want advertising and intent in one system. Custom pricing.
• ZoomInfo Intent: Draws from ZoomInfo's B2B database and web activity. Works for sales teams already paying for ZoomInfo. Usually sold as an add-on fee.
• G2 Buyer Intent: Captures first-party review and comparison activity on G2. Useful for software vendors targeting accounts researching categories. Seat based pricing.
• TechTarget Priority Engine: Uses tech publisher content to identify named accounts in IT research. Suits B2B technology sellers that need contact-level intent. Pricing is contact based.

Questions to ask

Ask each vendor these, in writing, and keep the replies:

1. What is the underlying source of each signal, and can you name the publishers?
2. How often does the data refresh, and how old is the oldest record in a typical export?
3. What is your identity match rate against a list of 500 US business domains we supply?
4. How do you define a high-intent account, and what is the false positive rate on that definition?
5. Can we see the score for ten accounts we already closed, before we buy?

That last question separates vendors from resellers. A provider with real data will run the test. A provider with a licensed feed will stall, because the underlying records are not theirs to expose.

Evidence to request

Ask for a sample file, not a dashboard screenshot. You want raw rows with domain, date, signal type and score. Import it into your CRM and compare against closed-won accounts from the last two quarters.

Request a written definition of every field. If the vendor cannot explain how a score of 80 differs from a score of 60, the number is decoration. The NIST Privacy Framework is a useful structure for documenting how you handle the personal data inside those rows.

A score you cannot explain to your sales team is a score they will ignore within six weeks.

Answers that should end the conversation

Some replies are disqualifying on their own. Walk away when you hear them.

• "We cannot share sample data for privacy reasons." Privacy law allows you to test a vendor's own records under an NDA. This answer usually means the data is thin.
• "Our match rate is industry leading." No number, no deal. Ask for a percentage against your own domain list.
• "The model learns automatically, so we cannot explain individual scores." Unexplainable scores cannot be defended to sales leadership or to a regulator.

What the agreement must say

Put four things in the contract. First, the minimum identity match rate, stated as a percentage, with a remedy if performance drops below it for two consecutive months. Second, the permitted uses of the data, including whether you may append it to CRM records or only view it in the vendor interface.

Third, a data processing addendum naming the categories of personal information collected and the retention period. The FTC's data security guidance sets out the expectations regulators apply to firms holding contact data. Fourth, a termination clause that lets you exit within 30 days if the match rate falls short.

How a US team compared two tools

A mid-market software firm in Ohio compared Bombora and 6sense on its closed-won accounts. The team chose the tool with the lower false positive rate from the sample export, even though it cost more per seat. That trade-off is normal. Higher coverage usually means lower precision, and precision is what your sales team feels. Our notes on B2B marketing analytics explain how to measure both without inflating the numbers.

Common questions

How much should a US team budget for intent data? Illustrative ranges run from roughly $1,000 to $3,000 per month for a single-source tool, and $4,000 to $12,000 per month for multi-source platforms with CRM integration. Seat count, domain volume and refresh frequency drive the spread.

Do intent scores replace lead scoring? No. Intent tells you an account is active. Lead scoring tells you whether that activity resembles your past buyers. Teams that conflate the two end up chasing accounts that research everything and buy nothing.

What privacy rules apply in the US? There is no single federal statute covering B2B intent data. State laws such as the California Consumer Privacy Act apply to some records, and the FTC enforces against deceptive claims about how data was collected. Ask vendors which state regimes they comply with.

How long before we know if a tool works? Run the closed-won test described above for 30 days. If precision on your own accounts is under 40 percent, the tool will not change pipeline behavior.