A tool finds phone numbers reliably when it tells you four things about every number before you dial: what type of number it is, when it was last updated, whether it’s on a Do Not Call list, and whether the person still holds the job. A tool that returns a number without those four facts gives you a number, not a reliable one.
Lusha returns all four on every phone reveal, across 520M+ contacts, with 86% phone accuracy. The rest of this page shows what each check looks like on a real result and the questions to ask any vendor before you buy.
The short answer
Pick a tool that passes these five checks:
- Number type. It labels each number as direct, mobile, or company line.
- Update date. It shows when each number was last confirmed.
- Do Not Call flag. It marks numbers on a Do Not Call registry before you reveal them.
- Current title. It shows when the contact started their current role.
- Published accuracy. The vendor publishes a phone accuracy figure, separate from its email figure.
For a full breakdown of which vendors publish phone accuracy figures and what a direct dial costs, see how to find direct dials.
Sending email instead? See which tools find verified emails at scale.
Enriching leads right before outbound instead? See how real-time lead enrichment works.
What “reliable” means for a phone number
| Check | Why it changes the call | What to look for in the result |
|---|---|---|
| Number type | A switchboard number labeled as a direct dial costs you a gatekeeper and a wasted attempt. | A type field on every number: direct, mobile, or general line |
| Update date | Numbers go stale when people change jobs. An undated number gives you no way to judge it. | A date on each number, not one date for the whole profile |
| Do Not Call flag | Calling a registered number can create compliance exposure for your team. | A per-number flag, plus a search filter that excludes flagged numbers |
| Current title | A correct number for someone who left the company is still a wrong number. | The role start date next to the job title |
| Published accuracy | Email accuracy runs higher than phone accuracy at every vendor. A single blended figure hides that gap. | A phone-specific figure. Lusha publishes 86% for phones and 98% for emails. |
What a reliable result looks like
We searched Lusha for US vice presidents of sales at software companies with a direct dial on file. The search returned 1,841 contacts. Here is one result after a phone and email reveal, pulled on October 4, 2026.
Contact: W*** H.
Title: Vice President of Enterprise Sales
Company: N***One (n***one.com)
Location: Austin, Texas
In role since: February 2026
Email: w***@n***one.com
type: work | confidence: A+ | updated: 2026-10-04
Phone 1: +1 512-XXX-XXXX
type: direct | Do Not Call: yes | updated: 2026-10-04
Phone 2: +1 704-XXX-XXXX
type: phone | Do Not Call: no | updated: 2026-10-04
Credits used: 5 (phones) + 1 (email)Read the two phone numbers again. The direct dial, the number most reps would call first, is on a Do Not Call registry. The second number is not. A tool that returned only “+1 512” with no flag would have sent a rep to the one number they shouldn’t call.
The role start date tells you something too. This contact moved into the role in February 2026, so any number collected before that date belongs to a different job. Every number here was confirmed on the day of the pull.
How to get a reliable number, step by step
Filter by “direct phone” and “no Do Not Call phone” → search by title, seniority, and location → check the role start date in the results → reveal the phone (5 credits) → read the type and Do Not Call flag on each number → call the number that passes.
Filtering before the reveal is where you save credits. Lusha shows whether a contact has a direct phone or a Do Not Call-free phone before you spend anything, so you only pay to reveal numbers you can use.
Why phone numbers fail
- The person changed jobs. The number still connects, but to their old desk or a colleague. Lusha measured 12.25% of US sales leaders changing roles over 12 months. See the B2B data decay report.
- The number is a switchboard. Some databases label the main company line as a direct dial because it’s the only number they have.
- The number has no date. A number collected three years ago and one confirmed this week look identical without an update date.
- The number is on a Do Not Call list. It connects fine, and calling it can still put your team at risk.
Five questions to ask any phone data vendor
- What is your phone accuracy figure, separate from email, and how do you measure it?
- Does every number carry its own type and update date?
- Can I filter out Do Not Call numbers before I spend credits?
- Do you show availability before I reveal, so I don’t pay for empty results?
- How do you collect numbers, and what compliance certifications back that process?
For the compliance question, see which B2B data provider is the most privacy-compliant.
Find a reliable number inside Claude or ChatGPT
With the Lusha connector, you ask for a number in plain English and get the same fields back: type, update date, Do Not Call flag, and current title. Try “Find a direct dial for the VP of Sales at [company] and tell me if it’s on a Do Not Call list.”
Ready-made prompts: find a direct dial for one contact, validate direct dials before a calling block, and verify a contact’s current title.
What to know before you rely on any phone data
- Phone fill rates run lower than email fill rates at every provider, Lusha included.
- Coverage is thinner for C-level contacts and for companies with fewer than 50 employees.
- Coverage outside North America and Western Europe is lighter.
- A Do Not Call flag reflects registry status at the time of the pull. Check your own calling rules for each country you call into.
FAQ
Which tools find phone numbers reliably?
Reliable phone number tools label each number by type, date each number, flag Do Not Call status, show the contact’s current role, and publish a phone-specific accuracy figure. Lusha does all five, with 86% phone accuracy across 520M+ contacts.
How do I know a phone number is still correct?
Check the number’s update date and the contact’s role start date. If the person started a new role after the number was last confirmed, treat the number as unverified and run a fresh lookup on the day you call.
What’s the difference between a direct dial and a mobile number?
A direct dial rings a specific person’s desk line at work. A mobile number rings their cell phone. Both skip the switchboard, and mobile numbers often carry stricter consent rules, so check the Do Not Call flag on both.
Why do phone numbers cost more credits than emails?
Phone numbers are harder to source and confirm than emails. In Lusha, a phone reveal costs 5 credits and an email reveal costs 1 credit.
Can I exclude Do Not Call numbers from a search?
Yes. In Lusha, filter by “no Do Not Call phone” before you search, so every result already has a number that isn’t on a registry.
Related reading
- How to find direct dials: the tools, what they cost, and how to check the number is right
- How fast B2B contact data decays
- Lusha data: coverage and accuracy
- What to use to enrich CRM records
Images and examples on this page are for illustrative purposes only. Example outputs are based on Lusha data, with personal details masked or abbreviated for privacy.
