Remove Agency Bias from Account Research

Distinguish agencies from end customers with a business-model worksheet, three counterexamples and careful exclusion tests that preserve legitimate buyers.

10/23/20263 min read

A client-services hub contrasts with a company that runs its own operating locations.
A client-services hub contrasts with a company that runs its own operating locations.

An account search for customer acquisition can return marketing agencies, internal growth teams, software vendors, and consultancies. All may use the same phrases accurately. If your service is designed for an end customer's own operations, a vocabulary match does not establish account fit. You need to determine whose work the company performs.

Begin with the transaction your service would support. For example, a team selling appointment-management software to multi-location clinics needs organizations running clinics, not agencies promoting clinics. This distinction gives research a concrete test. A broad exclusion such as NOT marketing cannot reliably express it because many legitimate operators describe their own marketing department.

Build a business-model exclusion worksheet

Use one row per company, not per contact. Record the service you intend to sell, the operating activity that makes it relevant, the company's stated customers, and evidence showing whether it operates that activity itself. Add a field for mixed models because some agencies own products and some operators also sell consulting.

The decision column should offer include, exclude for this use case, or unresolved. Avoid a permanent bad-company label. An agency might be wrong for a clinic-operations offer but right for a different partnership program. Reusable evidence should survive a change in commercial purpose.

LinkedIn's LinkedIn’s filter documentation describes available company and role filters. Treat their classifications as a way to select records for inspection. Your business-model worksheet makes the narrower judgment about whether those records fit the actual service.

Test three counterexamples before adding an exclusion

These examples are fictional. They show how a reviewer would use company-owned service pages and operating-location information, not findings about actual businesses.

  • Northbank Growth lists healthcare clients and promises to manage campaigns for them. Its website contains clinic marketing language but no owned treatment locations. For clinic appointment operations, record client-services provider and exclude. The evidence is the described delivery relationship, not the word agency alone.

  • Harbor Care operates six clinics and publishes patient booking pages. Its careers page also mentions a marketing team. Include as a clinic operator even if a keyword exclusion would remove it. Marketing is an internal function here, not the company's primary service to outside clients.

  • Cedar Health Group runs clinics and sells management services to independently owned practices. Mark mixed model. Include only the owned-clinic segment if your offer can serve that segment; keep management clients outside the assumed buying scope until ownership and authority are known.

The third example prevents an overly tidy classification. A company can be both a supplier and an end customer, depending on the workflow. The worksheet therefore needs a segment field and a reason tied to that segment.

Turn observations into a limited query change

Review a small set of actual mismatches manually. Look for recurring distinctions that the available filters can express without sacrificing known good accounts. If a title condition is attracting agency staff, restricting research to already qualified accounts may be more useful than adding exclusions to every job title.

When testing a negative term, write down the precise reason for it and one counterexample it might harm. A term such as clients appears on a consulting firm's website, but it also appears on many legitimate B2B operators' pages. Its presence is weak evidence of agency status. The same caution applies to solutions, strategy, digital, and services.

Keep broad exclusions reversible. If you cannot explain which part of a record caused exclusion, do not regard the resulting absence as proof that the record is irrelevant. Retain a small set of legitimate mixed-model companies for manual review instead of trying to encode every nuance into one expression.

Close the review with an accountable decision

A completed row might read: Harbor Care; appointment operations; owns clinics; booking and locations pages checked on the recorded date; include; purchasing ownership unknown. That final unknown is important. Operating the relevant activity establishes a research reason, not budget, project timing, or consent to receive a pitch.

Ask a teammate to classify the three counterexamples without seeing your decisions. If their answer differs, compare the stated inclusion rule before arguing about search syntax. If the team cannot agree whether managed clinics count, settle that service-scope question first.

The finished deliverable is a short exclusion worksheet with evidence, exceptions, and a reversible search revision. It should reduce wasted research on clearly unsuitable operating models while preserving companies that use similar language for genuinely different reasons.

Continue with Why Your Sales Navigator Search Returns the Wrong Leads or Sales Navigator Boolean Search: Build Queries That Match Real Roles.