Data
The best phone intent data providers (and why you shouldn't use them)
Who sells phone intent and verified mobile data, how that data actually gets made, and why your own dials are a better signal than any score you can buy.
The main phone intent providers are TitanX, Nooks, Koncert, Salesfinity, BetterContact, FullEnrich, and SureConnect, with older data vendors like Cognism, SalesIntel, ZoomInfo, and Lusha selling verified numbers rather than answer predictions. We have evaluated the category, and our honest answer is that you should not buy phone intent scores for your outbound list: the scores decay fast, they get your prospects pre-called by strangers, and pooled data from other companies' calls has almost never seen your numbers. You should get the "who answers" answer as a by-product of your own real calls, which is what our dialer does.
We are CallCloud, and we are not a phone intent provider. We build parallel and power dialers, so we see every day what a calling block looks like with and without a "who answers" score in front of it.
What phone intent data actually is
A phone intent score is a prediction, attached to a phone number, of whether the person will answer a cold call. It is not the same thing as a verified number. Vendors in this space sell at least three different products, and sales pages blur them together:
- Answer propensity. TitanX labels prospects High, Low, or Bad; Nooks assigns one of four temperature tiers it calls Pickup Likelihood; Koncert assigns a DR Score.
- Identity confidence. Seamless.AI scores confidence that a number is accurate and belongs to the contact. That is a claim about accuracy, not about future answering.
- Line validity. Carrier lookups tell you a number is live and is a mobile. A live mobile owned by the right person can still never pick up.
The distinction matters because a buyer comparing "25% connect rate" against "95% accuracy" is comparing two different dependent variables. A number can be valid, correctly owned, and never answered.
The main providers, fairly described
Prices are only where vendors publish them, and every performance figure is the vendor's own published claim, not an independently validated result.
| Provider | What it sells | How it says the data is made | Published price | Published claim |
|---|---|---|---|---|
| TitanX | Phone Intent labels (High, Low, Bad) plus enrichment | Behavioral scoring from billions of dials; a six-vendor enrichment waterfall | Quote-based; 1 credit per phone score | 25% average connect rate |
| Nooks | Pickup Likelihood, four temperature tiers, inside its dialer | A model trained on call outcomes aggregated across the Nooks platform | Quote-based | 15-50% connect rate lift above workspace average, described as directional |
| Koncert | DR Score tiers on mobile and direct numbers; optional human calls confirming who answers | Multi-year observed behavior; human agents dial for the verification service | Pro and Premium rates not published | P1 yields about one live answer per four dials; P2 about one per 15 |
| Salesfinity | Boss Mode validates existing US mobiles and grades them P1/P2/P3 | Live carrier checks and a US activity score; results may be reused from a six-month cache | Gold at $299 per user per month, including 500 scoring credits monthly | No achieved connect percentage published |
| BetterContact | Mobile waterfall plus optional Connect Intelligence buckets | Routing across 20+ providers, then carrier, HLR, and live-ping checks | Starter $15/month; Pro $49/month; phone enrichment 10 credits | Low propensity 3-7%; P1 20-30% |
| FullEnrich | Mobile waterfall plus ownership confidence and pickup estimates | Aggregates 20+ vendors; carrier, live status, and owner-name checks | 10 credits per mobile | Pickup tiers medium/high/highest, US and Canada only |
| SureConnect | Likely-to-answer labels on a list you upload | Verification and classification; model inputs not publicly disclosed | $249 per user per month billed yearly; $0.25 per add-on verification credit | 30% connect rate headline, with customer testimonials ranging from 16% to 35% |
Around these sit the established databases, which sell verified numbers rather than answer predictions. Cognism's Diamond Data includes calling numbers to confirm the intended person picks up, with a published 3x-connect headline backed by a study it attributes to an independent organization calling 1,000 contacts' mobiles. SalesIntel publishes 54M+ verified mobiles and says 250 full-time researchers reverify contacts every 90 days. ZoomInfo lists 120M+ direct dials and 122M+ verified mobiles. Lusha publishes 85% US and 86% global phone accuracy. Apollo, Seamless.AI, Kaspr, LeadIQ, UpLead, Wiza, RocketReach, and others sell verified phones at various credit prices.
How this data is actually made in many cases
Someone often has to call your prospect first. Cognism states plainly that its verification process calls numbers and confirms the person. Koncert's Premium tier uses human agents who dial mobile, direct, and company lines. Data Axle has described people making 25 million business-verification calls a year. PhoneVerify describes calling prospects and analyzing what happens after they answer, and BetterContact lists live-ping checks among its validation steps. That is the point of the product in several cases: a call whose only purpose is to check whether the person answers, placed before you ever dial.
Regulators have a name for this. Ofcom's persistent misuse policy, published December 20, 2016 and applicable from March 1, 2017, identifies number-scanning, also called pinging, as misuse: calls placed to discover whether numbers are active, terminating once a signal is detected. Its January 22, 2026 reminder adds that repeated silent and abandoned calls may constitute persistent misuse, with penalties up to GBP2 million, and that any person or organization involved can be liable, not just the seller. In the US, the TCPA abandonment rules prohibit abandoning more than 3% of live-answered telemarketing calls per campaign, and the FTC's Telemarketing Sales Rule uses the same 3% figure. Those rules have specific telemarketing scope, so this is not a claim that any named B2B vendor breaks them. It is a statement that the mechanism itself, calling someone to see if they answer without intending a conversation, sits in a regulatory category that exists for a reason.
The vendor's proof of how scores are made is thinner than the marketing. TitanX's own FAQ from May 27, 2025 says its algorithm "involves humans and technology" and stops there. Our research found no evidence tying TitanX, Nooks, or Orum to outsourced offshore verification teams, and we will not accuse any of them of it. But verification-call operations clearly exist at industrial scale, and none of the vendors we reviewed publishes the scripts, where the callers sit, or the compliance posture of the calls that produce a "verified" badge.
Your prospect feels it. Hiya's 2026 State of the Call, based on survey research with more than 12,000 consumers, found that only 14% immediately answer unrecognized numbers, 41% wait to see if voicemail catches it, and 28% reject immediately. Quick hangups, complaints, and blocks are exactly the signals Hiya and TNS say feed spam labeling. A verification call that annoys a prospect today makes it likelier that tomorrow's call, yours, is flagged or ignored.
Why you should not build your calling on this data
The scores decay faster than you can buy them. A score says who answered last month, not who answers this afternoon. Lusha detected 1,470,414 job changes and 194,165 promotions in the first five months of 2026 alone. The FCC's Reassigned Numbers Database exists because numbers change hands, with disconnects reported monthly. And a Princeton study found that 66% of a sample of recycled numbers still carried the prior owner's information in people-search databases. You are buying a snapshot of a moving target.
The prospect has already been pestered. If the score came from verification calls, your "hot" prospect has already received a call from a stranger that went nowhere. If the score came from pooled dialing outcomes across a platform, your prospect has already been cold-called by other sales teams whose calls fed the model. Either way, the number you were told is warm has been worked.
Pooled scores have barely seen your list. This one is from our own data. Across CallCloud customers, fewer than 1 in 250 numbers dialed was dialed by more than one company. Customer lists barely overlap. A score trained on other companies' call history has observed almost none of the numbers on your list.
Your own history is a stronger signal. Also from our data: a number that has picked up before converts to a conversation on the next dial at 27%, against about 6.6% for a number never reached, and under 1% after eight unanswered tries. A vendor's pooled prediction of answering is a weaker input than the direct observation you already own but are not using.
The rule we would give any team: buy data about who a person is and where they work, if you must, but never buy data about whether they will answer your phone. The first is a fact about the world that decays slowly. The second is a fact about a moment that is gone before the file downloads.
What to do instead
The "who answers" question answers itself if you dial correctly. Dial with purpose, record what happened, and let your own call history rank the numbers. That is what we built CallCloud to do.
The CallCloud Web Dialer is a parallel dialer that dials up to five prospects at once in the browser and connects you to whoever answers, at $125 per seat per month with unlimited calls and minutes, month to month. If you want one line at a time, the CallCloud Power Dialer is $60 per seat per month. Both run in the browser and log every call back to your CRM.
Hot and cold numbers are built in for every workspace, and no data is bought. Each number gets a pickup likelihood from your own call history. Numbers that picked up before read as Hot and get dialed first. Numbers with three or more rung-out misses and no pickup read as Cold. Nobody is pre-called. Every number that earns a Hot score earned it by picking up the phone for you.
The bridge to the rep is measured. Our answer-to-rep bridge has a median of 22 milliseconds, so you are in the room before the prospect says hello. And our number reputation work matters here too: under 2% of the numbers in our own fleet are flagged as spam, and every call they carry is a real sales call with a rep ready to talk.
The parallel dialer gets the answer as a by-product. Five prospects dialed at once, the rep connected to whoever picks up: that is a pickup-likelihood engine that updates on every call, costs nothing extra, and whose training set is your list, not a pool of other companies' outcomes.
You can see the full pricing on our pricing page, or book a demo if you want to see it dial.
FAQ
What is phone intent data?
A prediction attached to a phone number of whether the person will answer a cold call, sold by vendors such as TitanX, Nooks, Koncert, Salesfinity, BetterContact, FullEnrich, and SureConnect. It is distinct from a verified number, which only claims the line is live and belongs to the contact.
Is CallCloud a phone intent data provider?
No. CallCloud builds parallel and power dialers. It scores your own numbers from your own call history and sells no data.
Who is the best phone intent provider?
TitanX is the best-funded, with a $27 million Series A announced January 20, 2026 and a published 25% average connect rate claim. Koncert's optional human verification, Nooks' in-dialer Pickup Likelihood, and Salesfinity's US activity grades each fit different workflows. The more useful question is whether to use the category at all.
Should I use phone intent data?
We do not think so. The scores decay, they get your prospects pre-called by verification teams, regulators like Ofcom treat number-scanning calls as misuse, and pooled scores have seen almost none of your numbers: across CallCloud customers, fewer than 1 in 250 dialed numbers was dialed by more than one company.
How do I know which numbers on my list will answer?
Your own call history. In CallCloud's data, a number that has picked up before converts on the next dial at 27%, against about 6.6% for a never-reached number and under 1% after eight unanswered tries. Our hot and cold numbers feature applies that ranking automatically from your history, with no bought data.
What does phone intent data cost?
It varies by unit: TitanX charges 1 credit per phone score on volume tiers; Salesfinity's Gold plan is $299 per user per month with 500 scoring credits; SureConnect is $249 per user per month billed yearly plus $0.25 per add-on verification credit; BetterContact's phone enrichment is 10 credits at $49 per month on its Pro plan.
What do I do instead of buying intent scores?
Dial in parallel with a rep ready to talk, and let the dialing itself rank the numbers. The CallCloud Web Dialer dials up to five prospects at once in the browser for $125 per seat per month with unlimited calls and minutes, month to month.
What are the compliance risks of phone verification calls?
Calling a prospect solely to see whether they pick up sits in a category regulators have named. Ofcom's policy identifies number-scanning, or pinging, as misuse, with penalties up to GBP2 million for persistent misuse. No enforcement case we found targets a specific B2B data vendor for this, and we accuse no named vendor of it. But the mechanism exists, and your prospect is the one who experiences it.
Sources
- leadiq.com/products
- nooks.ai/ai-coaching
- seamless.ai/customers/education/articles/email-ai-and-phone-validation-on-dynamic-layout
- orum.com
- apollo.io/phone/cloud-service
- zoominfo.com/faqs/data
- uplead.com/our-data
- salesintel.io/data/firmographics
- fullenrich.com/changelog
- lusha.com/data-accuracy-faq
- cognism.com/newsroom/product-marketing-update
- koncert.com
- kaspr.io/kaspr-vs-seamless-ai
- support.nooks.ai/articles/8894679945-pickup-likelihood-and-hot-numbers
- nooks.ai/pricing
- leadiq.com/pricing
- titanx.io/pricing
- rocketreach.com
- wiza.co/?via=sara
- support.salesfinity.ai/articles/8805220473-the-analytics-page-explained
- phoneverify.ai
- docs.salesfinity.ai/dialer/boss-mode
- sureconnect.ai
- rocketreach.co/pricing
- salesfinity.ai/pricing
- prnewswire.com/news-releases/titanx-raises-27-million-series-a-to-scale-the-phone-intent-category-302664752.html
- docs.titanx.io
- docs.zoominfo.com/reference/api-overview
- work.hiya.com/hubfs/2026/Hiya_SotC_2026_FINAL.pdf
- ecfr.gov/current/title-47/chapter-I/subchapter-B/part-64/subpart-L/section-64.1200
- ofcom.org.uk/siteassets/resources/documents/consultations/category-1-10-weeks/7837-review-of-how-we-use-persistent-misuse-powers/summary/persistent-misuse-policy-statement.pdf?v=410974
- ftc.gov/business-guidance/resources/complying-telemarketing-sales-rule
- ofcom.org.uk/phones-and-broadband/unwanted-calls-and-messages/refresher-messaging-on-silent-and-abandoned-calls
- support.titanx.io/en/articles/11426791-faq-how-does-your-scoring-algorithm-work
- support.salesintel.io/hc/en-us/articles/4404044888217-Understand-Human-Email-and-Machine-Verified-Records
- reassigned.us/resources/faq
- orum.com/data_processing_addendum
- recyclednumbers.cs.princeton.edu/assets/recycled-numbers-latest.pdf
- fcc.gov/reassigned-numbers-database
- blog.hiya.com/unwanted-calls-explained-difference-spam-scam
- data-axle.com/resources/blog/why-data-quality-matters-more-in-the-ai-era
- hiya.com/resources/ebooks/the-definitive-guide-to-caller-reputation
- blog.hiya.com/caller-reputation-the-industrys-first-transparent-view-into-spam-labeling
- platform.data-axle.com/b2c_links/docs/job_functions
