The decision maker at a company is whoever owns the budget your product comes out of. That is rarely the person with the biggest title, and it is rarely one person. This guide covers five ways to find them, what each costs in time and credits, the two places a title search breaks, and how to turn a name into a direct dial you can call today.
The short answer
Start from the budget, not the org chart. Decide which function pays for what you sell, then search that function at the target company for Director, VP, and C-level seats. Verify each name is still in the seat, because roughly one in eight US sales leaders changes roles in a year. Then get a direct number for the two or three people who together can say yes: the one who owns the budget, the one who will use the product, and the one who can block it.
Doing that by hand takes an hour per account. With a B2B database that filters by function and seniority, it takes minutes. With an AI assistant connected to that database, it is one request.
Five ways to find decision makers, and what each costs
1. The company’s own site and LinkedIn
Cost: free.
Time: 30 to 60 minutes per account.
What you get: names and titles, no contact data.
Leadership pages list executives. LinkedIn’s People tab, filtered by keyword, shows who holds a function. This works for one account and breaks at ten, and the titles are only as current as the last time the person updated their profile. It also gives you no way to reach anyone.
2. LinkedIn Sales Navigator
Cost: a paid seat.
Time: 10 to 15 minutes per account.
What you get: a filtered list of people by function and seniority, InMail access, no phone numbers or verified emails.
The filters are good and the profiles are self-reported. Sales Navigator tells you who to reach; it does not give you a number to reach them on. Most teams pair it with a contact database for that step.
3. A B2B contact database with seniority and department filters
Cost: a subscription plus credits per contact revealed.
Time: 2 to 5 minutes per account.
What you get: names, current titles, verified work email and direct dial.
Search the company, filter to the department that owns your budget line and to Director, VP, and C-level seniority, and the list is the buying group. Lusha’s search returns a preview with data-availability flags before you spend a credit; revealing an email and a direct dial is charged per contact. Lusha’s database covers 290M+ contacts and 29M+ companies, coverage varies by region and company size, and the data page states it by geography.
4. A buying-group tool
Cost: included in some database plans.
Time: under 2 minutes per account.
What you get: the decision makers, influencers, and likely blockers at one account, classified by role.
Instead of running three searches, you name the account and the function and the tool returns the committee. Lusha’s buying group search does this from the connector; the Buying Group Skill wraps it for Claude. The output is a map, not a list, which is what you need when the deal has more than one signature on it.
5. An AI assistant connected to a contact database
Cost: the database subscription; the assistant is free or already paid for.
Time: one request.
What you get: the decision makers, verified, with a reason to reach out, in the chat where you write the email.
With the Lusha connector enabled in Claude or ChatGPT, “who are the decision makers for sales tooling at [company]” returns the seats, the names, the current titles, and the data-availability flags, and the same chat can check what changed at the company recently and draft the first message. The decision makers play shows the exact request and a live result.
Where title search breaks, measured
Two findings from running this at scale change how you should search.
One title can mean 90 people.
On a run that looked for the person who replaced a departed contact at an enterprise account, the departed contact’s exact title had 90 holders at that account, across three continents. Title alone does not identify a decision maker at a large company. Narrow by location and, where the seat is a team, escalate to the manager of that team. The backfill play documents the run and the fix.
The name you have may not be in the seat.
Lusha measured 12.25% of US sales leaders changing roles over twelve months, and 25.67% over twenty-four, in its data decay measurement. On a 20-account list, that is two or three contacts who are no longer where your CRM says they are. Verify the seat before you dial, and treat a departure as a lead: someone filled the seat, and that person has no vendor loyalty yet.
From a name to a direct dial
A decision maker you cannot reach is a name on a slide. Three things to know about the last step.
Direct dial versus switchboard.
A direct dial rings the person’s desk or mobile. A switchboard number rings reception. Databases label which one they hold; check the flag before you spend a credit.
Fill rate is not accuracy.
Fill rate is how often a provider has a number at all. Accuracy is how often that number connects to the right person. In a test of five US ICPs run on both platforms on 11 August 2026, Lusha returned twice as many US contacts with a direct phone number as ZoomInfo; the test measured quantity and fill rate only, accuracy was not tested, and ZoomInfo led on work email fill rate in the same test. Full methodology. Ask any provider for both numbers, and ask how they measured.
Verify on the day you call.
A number that was right in January may not be in September. The cheapest check is a single-contact lookup before a calling block, which the direct dial validation play runs across a whole list.
A five-step routine that works at any company size
- Name the budget line. Which function pays for what you sell? That is the department you search.
- Search function and seniority, not title. Director, VP, and C-level in that department. Add location for enterprise accounts.
- Verify the seat. Confirm current title and company for every name before outreach.
- Map three roles. Budget owner, day-to-day user, likely blocker. One name each, minimum.
- Reveal the direct dial for those three only. Spend credits on the people you will actually call this week.
Limitations to know before you rely on any of this
No database has every decision maker at every company. Coverage is thinner outside North America and Western Europe and thinner at companies under 50 employees. Titles in any database lag reality by weeks. Direct dial fill rate varies by country and by seniority; C-level mobile numbers are the hardest to hold. Lusha publishes its coverage by geography and measures its own decay rate, and the limitations are stated alongside the numbers because a rep who knows where the data is thin makes better calls than one who assumes it is complete.
FAQ
How do I find decision makers at an enterprise company?
Search by department and seniority inside the company, then narrow by location, because a single title can have dozens of holders across regions. Map the budget owner, the user, and the blocker rather than looking for one person. A buying-group tool does this in one pass.
What is the best tool to find decision makers?
It depends on the step. Sales Navigator finds people well and holds no contact data. A B2B contact database finds people and gives you a verified email and direct dial. An AI assistant connected to a database does both in one request and can write the first message. Many teams use two of the three.
How do I find a decision maker’s direct dial?
Use a B2B contact database that labels direct dials separately from switchboard numbers, check the availability flag before revealing, and verify the number on the day you call. Ask the provider for fill rate and accuracy as separate figures.
How often do decision makers change roles?
Lusha measured 12.25% of US sales leaders changing roles over twelve months and 25.67% over twenty-four. Verify every contact before outreach and treat a departure as a signal that a seat was filled by someone new.
Can I find decision makers for free?
Names and titles, yes, from company sites and LinkedIn, at 30 to 60 minutes per account and with no contact data. Lusha’s free plan includes a monthly allowance of credits for revealing verified emails and phone numbers; plan details are on the pricing page.
Do this in your AI assistant
- Find verified decision makers at any company in Claude
- Find the decision-maker, validate them, and draft the outreach email
- Find the right decision-maker at a target account in ChatGPT
- Buying Group Skill
- Verify a contact’s title before you reach out
Sources: Lusha, B2B Data Decay: How Fast Contact Data Goes Wrong, Measured, September 2026. Coverage test of five US ICPs, 11 August 2026, methodology. Play run findings from the linked Campus pages, each documenting its own run.
