How to build a prospect list: from a market count to a verified, prioritized list

This guide is for founders, SDRs and sales managers who need a list of companies and contacts to work through, whether it's 50 accounts or 2,000. It covers what the list should contain, how to size it, where to find companies, how to add and verify contacts, how to prioritize, and how to keep it current. There's a copyable template and a worked example using real Census counts for one county.

How to build a prospect list, step by step

1. Write down the criteria. Industry, company size, location, the role that owns the problem, the trigger that makes a company ready to buy (a new site, a hire, a contract ending), and anything that rules a company out. If you haven't done this, start with the ideal customer profile guide.
2. Count the market. Before you collect names, find out how many companies fit. The Census Bureau's County Business Patterns counts establishments by industry, county and employee size band. The count tells you whether your criteria are too narrow or too broad for the pace you've planned.
3. Choose your sources for companies. Use the table below. Most lists combine a structured source (a database or registry) with a signal source (news, job ads) that tells you who to contact first.
4. Collect accounts and remove duplicates. One row per company, keyed on the website domain, which is more reliable than the company name. Remove existing customers, open deals and anyone who has opted out.
5. Add contacts by role. One contact for a company with fewer than 20 people (usually the owner or manager), two or three for larger ones: the person who owns the problem and the person who signs. How to find decision makers explains how to tell them apart.
6. Verify each contact. Check that the person is still in the role and that the email address is valid. How to find a business email address covers formats, verification results and what to do with accept-all domains.
7. Score and tier the accounts. Give each account points for fit (how closely it matches your criteria) and timing (whether there's a recent trigger). Work tier A first.
8. Load it, then set a refresh date. Put the list into your CRM or sequencing tool with the source and date for each fact, and schedule a re-check before the next campaign.

The prospect list template

Copy these columns into a spreadsheet or CRM import file. The source and date columns are the ones most lists leave out, and the ones that tell you when a row has gone stale.

ACCOUNT
Company name | Website domain (unique key) | Industry (and NAICS code if you use it) | Employee size band | City, state | Locations

FIT AND TIMING
Matches criteria (yes / partly) | Exclusion reason (if any) | Trigger (one line) | Trigger source and date | Fit score (0 to 5) | Timing score (0 to 5) | Tier (A / B / C)

CONTACT (one row per person)
First name | Last name | Title | Role in the decision (owner of the problem / signer / influencer) | Email | Email status (valid / accept-all / invalid) | LinkedIn URL | Phone (if published) | Where you found them | Date checked

STATUS
Owner (rep) | Stage (not contacted / in sequence / replied / meeting / not now / opted out) | Next step and date | Notes

Where to find companies

At volume, the collecting, matching and research are the slow parts. Bebop builds this kind of list from a plain-language description: it finds matching companies and contacts, explains why each fits and writes a playbook for each account. Spot-check what it returns the same way you'd check a list you built yourself.

Worked example: a commercial cleaning company builds a Phoenix list

Illustrative example. The cleaning company, the accounts and the people are fictional; the market counts are real Census figures.

The seller: Saltbush Commercial Cleaning (saltbushclean.example), based in Phoenix. The criteria: medical, dental, legal and accounting offices in Maricopa County with 10 to 99 employees, which tend to sign their own cleaning contracts, plus the property managers who buy cleaning for whole office buildings. The trigger: a new location, a move or an expansion in the last six months.

Step 1: count the market. County Business Patterns, 2023 data, Maricopa County, Arizona:

The same data counts 221 nonresidential property manager establishments in the county, of all sizes.

These are establishments (locations) with paid employees, not companies: a medical group with five clinics counts five times, and owners with no employees aren't counted. Some offices sit in buildings where the landlord buys the cleaning, which is why the property managers are on the list too.

Step 2: size the list to the team. Saltbush has one salesperson who can start 50 new accounts a week, or 650 a quarter. The full market of about 2,035 accounts is three quarters of work, so the list needs an order.

Step 3: tier it. Fit points for size and industry (larger medical offices score highest, because they clean most often and to a higher standard), timing points for a trigger found in the last six months:

Step 4: contacts and verification. One contact per account for 10 to 49 employees (the office or practice manager) and two for 50 to 99 (adding the administrator or operations director). For the 85 tier A accounts, Saltbush researched 104 contacts. Nine had left the company, 7 emails came back accept-all and 88 verified as valid, so 85% were ready to use without more checking.

Three rows from the finished list:

The trigger column did the most work: it decides who gets contacted this month, and it becomes the first line of the email. With the list sized and tiered, Saltbush's next job is writing to it; how to write a cold email picks up from here.

Keep the list fresh

Contact data goes out of date because people move. The Bureau of Labor Statistics found median tenure with a current employer was 4.1 years in January 2026, and 4.9 years for management and professional occupations. That isn't a decay rate, but it means a meaningful share of any contact list will have changed jobs within a year or two.

• Re-verify before each campaign, not just when the list was built. Re-check emails and confirm people are still in their roles.
• Watch for job changes. Sales Navigator's filter for job changes in the last 90 days flags contacts who have moved; a contact who moves to another company that fits is a warm lead there.
• Keep a permanent suppression list. Anyone who opts out stays out, across every list and tool. CAN-SPAM requires you to honor opt-outs within 10 business days and makes no exception for business email.
• Date every trigger. A trigger older than six months is background, not a reason to write. Move those accounts down a tier.

Self-check

• You've written criteria that someone else could apply and get the same list.
• You know how many companies fit, from a source you can name.
• Every account has a domain and no duplicates; customers, open deals and opt-outs are removed.
• Every contact has a role in the decision, a source and a date checked.
• Emails are verified, and accept-all addresses are marked as such.
• Accounts are tiered, and tier A has a dated trigger for each one.
• There's a date in the calendar to re-verify the list.

Common mistakes

• Starting with contacts instead of companies. You end up with ten people at one company and none at the next. Build the account list first.
• Not counting the market. A list that's too small runs out in weeks; one that's too broad has low fit and low replies.
• Buying volume without checking a sample. Hand-check 20 random rows before you load a purchased or exported list.
• No source or date column. Without them, you can't tell a fresh fact from a two-year-old one.
• Treating the list as finished. It starts decaying the day you build it. Plan the refresh when you plan the campaign.

Next step: score your accounts consistently with the free lead scoring template.