Outbound Sales · Practical guide · Building a B2B sales prospect list
How to Build a B2B Sales Prospect List: Fields, Targeting, and Seven Steps
A sales prospect list connects target companies and people with the reason they were selected, their outreach status, and the next action. A list of company names and phone numbers is not enough: an actionable list explains who to contact, why the timing is relevant, and what the team should do next.
Key takeaways
- Track the company, person, selection evidence, outreach status, and next action—not just contact details.
- Assess fit, reason to contact, timing, and exclusions separately instead of relying on one vague lead score.
- Start with a reviewable cohort, run outreach, and revise the first stage where prospects drop out.
Written by
Kachilu Research
Product research and editorial team
Reviewed by
Tatsuro MatsuzakiCTO at Kachilu
Has more than 1,000 LinkedIn followers and practical expertise in LinkedIn recruiting and sales outreach.
A sales prospect list is a working queue, not a company directory
The list should help a seller decide who to contact next and why. A company can fit the market while the person is unrelated to the problem or decision. Keep account fit and contact fit separate, then record the evidence for both.
Do not mix existing customers, inbound leads, and cold prospects without a clear label. Give each prospect a consistent stage such as identified, reviewed, contacted, replied, or next step agreed so the team can see where the process is working.
| List | What it contains | Decision it supports |
|---|---|---|
| Account list | Company, industry, size, region, and website | Which companies to research |
| Contact list | Name, role, employer, and public profile | Who may own the problem or decision |
| Actionable prospect list | Selection evidence, outreach status, owner, and next action | Who to contact, when, and what to improve |
Use four field groups: identity, evidence, execution, and outcome
More columns do not automatically make a better list. Keep a field only when it changes a targeting, outreach, or review decision.
| Field group | Examples | Question it answers |
|---|---|---|
| Account and person | Company, website, industry, size, region, name, title, public profile URL | Do the account and role fit? |
| Selection evidence | Problem hypothesis, public evidence, reason to contact, exclusions | Is there a credible reason to contact now? |
| Execution | Owner, channel, last contact, current stage, next action and due date | Can the team avoid duplication and neglect? |
| Outcome | Connection, reply, confirmed problem, agreed next step, disqualification reason | Which rule or message should change? |
Build a sales prospect list in seven steps
Starting with search tends to produce the companies that are easiest to find. Define the offer, problem, and next action first, then translate them into search criteria.
- 1.State the service and next action in one sentence: whose problem it solves and what an interested prospect should do next.
- 2.Define the ICP and exclusions across industry, company size, geography, business stage, current approach, and clear reasons not to engage.
- 3.Map the buying roles: user, problem owner, budget holder, and internal champion. Choose the best first contact rather than every senior title.
- 4.Turn the definition into search terms and filters for company, industry, headcount, geography, function, title, and seniority.
- 5.Review fit for each person. Use public company and profile context to record the link to the problem and a specific reason to contact.
- 6.Set priority and the next action. Separate prospects with no context from those with a relevant post, shared connection, or other credible route.
- 7.Run a small cohort and fix the first weak stage. Revise criteria when too few qualify, the contact reason when few connections form, and the message when replies are weak.
- LinkedIn Sales Navigator: lead and account search filter definitions
LinkedIn's current definitions for company, role, location, industry, recent activity, and other Sales Navigator filters.
Score fit, contact reason, and timing separately
A single lead score hides why someone was prioritized. The framework below is an example for consistent review, not a universal benchmark. Change the weights to match the offer.
| Dimension | 0 | 1 | 2 |
|---|---|---|---|
| Problem fit | No relationship found | Plausible from industry or role | Public evidence shows a specific relationship |
| Reason to contact | Could be sent to anyone | Relevant to the role | Connected to the person's situation |
| Timing | No timing evidence | Recurring problem is plausible | A recent post or change creates a clear topic |
| Path to contact | No suitable route | A usable channel exists | Relevant content or a shared connection creates context |
Compare in-house, purchased, outsourced, and tool-assisted lists by how they stay current
Do not choose on initial record count or price alone. Include contact verification, selection evidence, updates, and feedback from outreach in the decision.
| Method | Useful when | Check before choosing |
|---|---|---|
| Build in-house | The market is narrow and the team needs to learn the targeting assumptions | Research time, review consistency, and update ownership |
| Buy a list | The team needs a broad account set to review quickly | Source, freshness, employment status, and permitted use |
| Outsource research | Criteria are clear but research capacity is limited | Delivered fields, exclusions, rechecks, and correction scope |
| Use a tool or AI | The team expects to revise criteria and search repeatedly | Visible evidence, human review, and connection to outreach outcomes |
Kachilu connects list building with LinkedIn outreach
Kachilu uses the service URL to prepare a service summary and initial target criteria. The user can review and change industries, roles, locations, and exclusions before execution. Because the task keeps the problem and offer alongside the search criteria, the team can judge the reason to contact each prospect rather than work from filters alone.
The workflow then moves through LinkedIn prospect search, engagement with relevant posts, personalized connection requests, post-acceptance DMs, follow-ups, and reply checks. Prospect stages and execution status remain visible, so outreach feedback can inform the next version of the target criteria. Message templates, volume, days, and times can be reviewed before the task starts, and the user can pause, resume, or skip while it runs.
- How to use AI in sales: from prospect selection to execution
A practical workflow for deciding what AI prepares, what people review, and how outreach results inform the next test.
Checklist for keeping a sales prospect list useful
A sales list is not a finished deliverable. Without outreach results it becomes stale, and adding more records under the same rules does not improve targeting. Review it weekly or after each cohort.
- Account fit and contact fit can be reviewed separately.
- Every prospect has a one-sentence reason to contact.
- Competitors, customers, unsupported regions, and other exclusions are applied.
- Duplicates, job changes, and missing details can be corrected.
- The last contact, current stage, next action, and due date are visible.
- Connections, replies, qualified conversations, and next steps use the same cohort.
- Only one targeting or message variable changes after the first weak stage is identified.
- What is outbound sales? Seven methods and a 30-day test
Connect a prospect list to a primary channel such as phone, email, or LinkedIn and measure the full workflow.
FAQ
Frequently asked questions
What is a sales prospect list?
It is a working record of target companies and people, the evidence for selecting them, outreach status, ownership, and the next action. It contains more decision context than a company directory or list of phone numbers.
What fields should a sales prospect list include?
Include account, website, industry, size, region, contact, role, public profile, problem hypothesis, selection reason, exclusion check, last contact, stage, and next action. Do not collect personal information the team will not use.
How many prospects should the first list contain?
There is no universal number. Start with a cohort small enough to review each prospect and handle replies and next steps. The first test should reveal where prospects leave the process, not maximize record count.
Should a business buy a prospect list?
It can supply a broad set of accounts to review, but the team should verify the source, freshness, permitted use, employment status, and fit before outreach. Do not treat purchased records as qualified prospects.
Can AI build a sales prospect list?
AI can organize service information, suggest target criteria and search terms, and summarize public context. A person should confirm fit, the reason to contact now, and exclusions before outreach.