Mobile-Number Data Providers

A mobile-number provider is useful only when it returns the kind of number your team is authorized to call, for the people you actually sell to. That is a narrower question than which database has the largest headline count. This guide compares Lusha, Apollo, and Cognism because each describes a mobile-number offering in its own product documentation. Lusha says it supplies mobile numbers and direct dials; Apollo describes a phone-number reveal as revealing a mobile number; Cognism sells phone-verified mobiles. These are vendor descriptions, not a shared audit of coverage or quality.✓ 135

There is no defensible universal winner on accuracy from these pages. The vendors describe different validation methods, different chargeable actions, and different package boundaries. A number being present, classified as mobile, technically reachable, and lawful to use are separate properties. Build your evaluation around those properties instead of reducing the decision to one claimed percentage.

The shortlist at a glance

This table compares documented capabilities and charging concepts, not equivalent subscription prices. A reveal credit in one platform is not necessarily the same purchase as an API enrichment call or a waterfall lookup in another. Do not calculate a price per usable mobile until you know your plan, the exact action, and the outcome of a representative sample.✓ 246

Lusha: straightforward phone-reveal unit

Lusha's company page says its offering includes direct dials and mobile numbers across North America, EMEA, APAC, and LATAM. That is a coverage statement from Lusha, not proof of fill rate in a specific country, seniority band, or industry. The practical question is how many of your target contacts have a usable mobile or direct number, with a clear type label and recent verification.✓ 1

Lusha's pricing page says a phone-number reveal costs five credits, compared with one credit for a verified email reveal. It also says the Free plan includes up to 40 credits per month. Those statements make a limited sample easier to budget at the action level. They do not establish that every target record has a phone number, that all phone fields are mobiles, or that every plan has the same features and commercial terms.✓ 2

For a Lusha test, start with a blinded list of actual target people rather than browsing whatever the search returns first. Record the requested contact, whether a phone field exists, its labeled type, credit charge, and whether a properly authorized test call reached the intended business person. A wrong-person answer and an unreturned call should be logged separately. The procedure is a suggested buyer test, not a published performance result.

Apollo: mobile access inside a wider credit system

Apollo's support documentation says a phone-number reveal means it revealed a mobile number for a contact. It also says credits may be spent on data access and other features, and that credits are used when it checks connected data providers to find requested email or phone data. That means a team should identify the exact Apollo workflow before asking what one mobile costs. A browser reveal, an API enrichment, and a waterfall action may have different accounting.✓ 3

For Apollo's API, the official pricing documentation describes one to nine credits per person when chargeable data is found, including an additional eight if a mobile number is returned. It also says phone waterfall enrichment typically uses eight to 25 credits. Those figures are API mechanics, not a universal subscription price or guaranteed charge for every UI reveal. Validate the current plan and workflow in a small trial before forecasting a large list.✓ 4

Apollo is worth testing when your team already runs enrichment or prospecting in its stack and wants to observe the incremental mobile result in that environment. Compare the end-to-end cost of a usable, permitted contact, not only the per-request figure. Keep the waterfall path and its supplier mix recorded so that a later change in configuration does not masquerade as a change in the provider's core database.

Cognism: a stated phone-verification process

Cognism markets phone-verified mobile numbers and says its routine includes calling numbers to confirm the right person answers. Its compliance page separately describes a research team manually validating mobile numbers. Those are more specific process statements than a generic verified-data badge, but they remain Cognism's own assertions. They do not prove that every record in your segment was recently called or that your team's calls will connect at a particular rate.✓ 57

Cognism's pricing page says pricing is tailored to the product, team, and intended use. It lists on-demand mobile verification among package features and says one credit is used when a contact record is revealed. Ask the vendor to specify which mobile-verification service, geography, seats, reveal allowance, and contract terms are included in the proposed package. Do not compare that reveal credit mechanically with a Lusha phone reveal or an Apollo API mobile result.✓ 6

Cognism says its system filters data against do-not-call lists. That is a vendor-described control, not a transfer of your legal responsibility. Ask which registers, jurisdictions, update cadence, and suppression settings apply to the exact campaign. Your own organization still needs to assess the applicable rules, notice, lawful basis where required, and internal suppression obligations with qualified counsel before using personal mobile data.✓ 5

Coverage, accuracy, permission, and suppression are four tests

Coverage asks whether the vendor returns a mobile or direct number for the target record. Accuracy asks whether the number reaches the intended person. Permission asks whether this organization may use that number for this purpose in that jurisdiction. Suppression asks whether the person or number must be excluded because of a preference, internal list, or applicable restriction. A provider's statement about one dimension does not answer the other three.

Prepare a test set that resembles your real pipeline by region, function, seniority, and account size. Freeze it before running vendors, and keep the same inclusion criteria for each test. Separate missing numbers from wrong numbers and from numbers that cannot be dialed under your policy. Record which records were excluded by suppression before reporting any connection metric. Do not publish a cross-provider ranking from a handful of anecdotes.

Pricing deserves the same discipline. Lusha's cited page gives a phone-reveal credit unit, Apollo's documentation gives workflow-dependent API and waterfall credit mechanics, and Cognism describes tailored commercial pricing alongside record-reveal credits. Request written terms for seats, minimums, credits, rollover, overages, API access, and on-demand verification before constructing a total-cost comparison. Do not fill missing dollar amounts with figures from an affiliate article or a rival's comparison table.✓ 246

What to decide after the pilot

Select the provider that performs acceptably on your lawfully usable target set and fits the workflow you can actually operate. A small team may value a clear per-reveal budget; an operations team may need API behavior and auditability; a team working in a tightly regulated market may put more weight on verification and suppression controls. These are decision criteria, not claims that one vendor is categorically superior.

Keep the procurement decision conditional until privacy/legal review and a controlled sample are complete. The sources here establish that all three providers offer relevant phone data, but they do not establish a common, independent measure of accuracy or consent. The final contract should state what the vendor delivers, what your organization may do with it, and how disputed records and opt-outs are handled.

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