Company Lookup for Sales Prospecting: A Practical Workflow

Company lookup helps sales prospecting by turning a bare domain into a fit check: industry, size band and location. Run your list through it, drop accounts that do not match your ideal customer profile, rank the rest, and spend human time only where fit is plausible. It narrows the list; it does not choose the buyer or tell you when to call.

The workflow in six steps

1. Write the ideal customer profile (ICP) in plain words. Which industries, which size band, which regions? Two or three criteria are enough.
2. Collect domains. From your CRM, event lists, inbound signups or an account list.
3. Clean them. Lowercase, deduplicate, remove free-mail domains.
4. Look them up. Free tool for a few, API for lists; see bulk company lookup by domain.
5. Score and bucket. Match against the ICP; separate matches, near matches and unknowns.
6. Route. Hand matches to the right owner with the profile attached, and keep the notes short.

BusinessMCP’s free company lookup covers the single-domain end of this for a few accounts an hour, and the paid company data API is aimed at the list end.

A simple fit score

Resist elaborate models at first. A three-field rule works and is easy to explain to a sales team.

Criterion	Points	Example rule
Industry in target list	3	Software or professional services
Employee range in target band	2	51 to 500
Country in territory	1	Home market
No record found	0, flag “unknown”	Do not penalise

Add the points, set a threshold for outreach, and review the scoring after a month against what actually converted. If accounts with the highest scores convert no better than the rest, your ICP is wrong, not your data.

Key takeaway: firmographic fit tells you who could buy. Behaviour and timing tell you who might buy now. Use lookup for the first and something else for the second.

Adding timing

Fit is static. Timing signals come from elsewhere: a prospect reading your pricing page, replying to an event invite or hiring for a relevant role. BusinessMCP’s guide to visitor identification describes the route of identifying companies visiting your site, and says the resolved share is a minority of traffic, so it supplements account lists instead of replacing them. Combining a fit score with an activity signal gives you a short list worth a personal message.

What to look at on a profile before outreach

• What the company does. Read the description and the website. If you cannot explain why you are writing, do not write.
• Size band. Use it to choose the message, not to quote back at them.
• Location. Time zone, language, regulation.
• Founded year. A very young company is a different conversation from a twenty-year-old one.
• Website status. A dead site can mean a dead company. BusinessMCP lists website status as a field in its API.

Where contact data comes in

A profile gives you a company, and you still need a person. Options include published role addresses, warm introductions and compliant contact databases. If you intend to email, the email format guide explains what a pattern tool does and where it stops. Mind your legal obligations on unsolicited outreach, which differ by country.

Workflow mistakes to avoid

• Scoring blanks as bad fits. An unknown is unknown.
• Over-trusting size bands. A band is an estimate, and some firms are bigger or smaller than shown.
• Enriching without a plan. Data nobody uses is cost without benefit.
• Overwriting good CRM data. Fill empty fields; do not replace values reps entered by hand.
• Skipping a feedback loop. If reps keep flagging wrong industries, tell whoever maintains the mapping.

A week-one plan for a small team

Day 1. Write the ICP and pick three fields. Export 200 domains.

Day 2. Clean and look up. Note the hit rate.

Day 3. Review 30 results by hand with the sales lead. Adjust the rules.

Day 4. Route the top bucket to reps with a short note per account.

Day 5. Review replies and open rates, drop the lowest-yield segment, and decide whether to scale.

This keeps the experiment small enough to learn from and cheap enough to stop. If lookups prove useful, scale up using the pilot’s hit rate to forecast the bill; company lookup API pricing has a worksheet. If you need prospects you do not yet have, rather than enrichment of known ones, see company search by industry and location.

How to measure whether it worked

Compare two groups over a month: accounts prioritised by fit score and a similar group chosen the old way. Look at reply rate, meetings booked and time spent per meeting. If the prioritised group is better, scale; if not, review the ICP before blaming the tool. Keep a note of which fields mattered, so that the next enrichment run pulls only what you will use.

Examples of rules that teams actually use

Territory routing. If the country matches a rep’s territory, assign automatically; otherwise queue for a manager. This uses one field and removes a surprising amount of manual triage.

Segment tagging. Tag accounts by size band at import: small, mid, large. Use the tag to choose a message and a sequence length, since a 20-person firm and a 2,000-person firm rarely buy the same way.

Exclusion lists. Remove industries you cannot serve for regulatory or product reasons before anyone wastes a call. Exclusion is often more valuable than inclusion, because every dead account removed gives time back.

Suppression of existing customers. Match looked-up domains against your customer list so reps do not cold-pitch people who already pay you. This needs no external data beyond the domain itself, yet it is a classic embarrassment when skipped.

Questions to ask in a weekly review

1. Which segment replied best, and does the ICP reflect it?
2. Which fields did reps actually use?
3. How many unknowns did we have, and did any turn out to be good accounts?
4. What did bad data cost us: wrong industry, wrong country, dead domain?

Keep the review short and write the answers down. After a quarter, you will know whether lookups are paying for themselves and which parts of your enrichment can be dropped.