The 'Who We're Not For' Page: Positioning's Secret Weapon
Fewer than 3% of agencies publish explicit exclusion criteria. The ones that do report higher close rates and shorter sales cycles. Here is what the page must contain.
Fewer than 3% of agencies publish explicit exclusion criteria. The ones that do report higher close rates and shorter sales cycles. Here is what the page must contain.
The strongest positioning signal you can send to a prospective client is a printed no. A "who we are not for" page appears on fewer than 3 percent of agency websites, yet the agencies that publish explicit exclusion criteria consistently report higher close rates, shorter sales cycles, and lower early churn compared to those that do not.
The mechanism is counterintuitive but reliable: exclusion creates trust, and trust converts. A buyer who reads your exclusion criteria and does not disqualify themselves concludes that you understand your work well enough to know precisely who it serves. That conclusion begins a sales process on entirely different terms than "we work with everyone willing to pay."
April Dunford identifies willingness to turn down misfit business as the clearest signal of genuine positioning. An agency that claims a specific category but accepts any client is not actually in the category. Buyers notice this discrepancy, and trust erodes (Dunford, 2019).
Most agencies avoid explicit exclusion because the intuition is that it leaves revenue on the table. The math works differently in practice.
Consider the buying decision from the prospect's perspective. You are evaluating two agencies. Agency one says: "We love working with companies of all sizes across any industry — we believe great work is possible in any context." Agency two says: "We are built for B2B SaaS companies between $2M and $20M ARR that have product-market fit and need to scale acquisition. We do not work with pre-revenue companies, consumer brands, or businesses without a defined ICP." Which agency gives you more confidence that they understand their own work?
Agency two has done something the first has not. They have demonstrated that they know which context produces their best work. They have also removed ambiguity about what the client relationship will require. The buyer who matches agency two's criteria enters the sales process already primed for a yes. The buyer who does not match self-selects out before taking a call. Both outcomes benefit the agency: more efficient sales, fewer misfit engagements, lower early churn.
Three measurable effects appear when an explicit exclusion page goes live:
The net effect on revenue is positive in most cases within 90 days, because the sales team converts a higher percentage of the smaller pool of qualified prospects.
A functional exclusion page is not a liability hedge or a soft "we might not be the right fit" disclaimer. It is a direct, written statement of specific disqualifying criteria with enough detail to operate as a buyer-facing filter.
Four elements are required for the page to work as a positioning tool:
Named exclusion types. Not vague categories like "clients who are not serious about investing." Specific types: pre-revenue startups, companies in industries you have chosen not to serve, companies below a specific ARR or revenue threshold, or engagements below a minimum scope. Named criteria disqualify more precisely and signal clearly that the criteria are operational, not arbitrary.
An operational reason for each exclusion. One sentence per type, written from genuine operational constraints rather than preference. "We do not work with pre-revenue companies because our growth infrastructure process requires existing customer data to inform attribution strategy" is more credible than "pre-revenue companies are not a good fit." The operational reason signals that the exclusion reflects real process requirements.
An alternative recommendation for each disqualified type. For each excluded type, name an alternative path. This is not a competitor referral. It is a resource recommendation: a guide, a different type of vendor, or a lower-cost option appropriate for their stage. The recommendation demonstrates genuine care for the prospect's outcome and leaves a positive impression that may produce a referral or a return engagement when their situation changes.
A positive restatement of the ideal buyer. After the exclusion criteria, clearly state who the page is for. "If none of the above applies to you, here is what our best clients have in common." This closes the page on the right note for the buyer who qualifies and converts the exclusion experience into a qualification confirmation.
The complete list of exclusion criteria should contain four to seven items. Fewer than four signals that the criteria are not fully thought through. More than seven creates anxiety in qualified buyers who begin scanning the list looking for ways they might accidentally be excluded.
Striveloom's not-for-you criteria took three internal iterations. Version one was too vague: "clients who are not ready to invest seriously in digital" — not a useful criterion, because every agency says something equivalent and no buyer self-identifies as unserious. Version two was too broad: "clients who have had bad experiences with previous agencies" — this would have excluded a large portion of buyers who were actually ideal fits, since prior agency dissatisfaction is common and often legitimate.
Version three specifies four concrete disqualifying categories, each with an operational reason:
The services page publishes the full list with the operational reason for each. Publishing it changed our inbound quality measurably. Calls that book after a visitor has read the exclusion list move faster to a decision because the mutual fit has been partially confirmed before the conversation begins.
Buyer behavior after reading an explicit exclusion page follows a predictable pattern across the calls we have observed.
Qualified buyers almost always reference the page in the first call. "I read your not-for-you page and we definitely do not fit any of those categories." That statement transforms the opening of the call from qualification to confirmation. Fifteen minutes of discovery work happens before the call starts. The buyer who says this also signals that they read carefully and did genuine due diligence, which correlates with faster decision timelines.
Misfit buyers typically do not book a call. They self-select out before reaching the calendar. This is the correct outcome. The page is doing filtering work that would otherwise fall to the first call, the proposal, or the early engagement period.
Borderline buyers identify themselves explicitly. "I know you said you do not work with pre-revenue companies, but our situation is different because we have $400K in commitments and a clear revenue date." This creates a structured conversation about whether the exception is genuinely different from the pattern the criterion describes. That conversation is more productive than discovering the misfit after the proposal.
Publishing exclusion criteria creates an obligation that most agencies underestimate. If you publish criteria and then regularly accept clients who meet them, the positioning effect reverses. Buyers who read the page and later discover that you signed excluded clients will correctly conclude that the criteria are marketing language, not operational reality. The trust signal the page created collapses and becomes a trust-negative.
The operational requirement is simple: every time you consider accepting a client who meets one of your exclusion criteria, the decision must be treated as a conscious exception with explicit acknowledgment of the deviation. The exception may be worth making. Some clients who meet an exclusion criterion are genuinely different from the pattern the criterion describes. But the exception must be a deliberate choice, not a quiet workaround.
In practice, this means the sales or leadership team has a brief explicit conversation each time an exception is considered. "This prospect meets the pre-revenue criterion. Are the circumstances genuinely different? What is the risk that the criterion exists to prevent?" If the answer confirms the exception is warranted, take it and document why. If the answer does not justify the exception, decline and follow the alternative recommendation you published.
Draft your first version of exclusion criteria now. Four items, each with an operational reason and an alternative recommendation. Do not publish yet. Test it internally: would your three lowest-retention clients have identified themselves as misfit using these criteria? Would your two most recent closed-lost deals have disqualified themselves?
If yes to both, the criteria are working. Publish them as a section on your services or about page. Link to them early in your outreach materials, before the first call. The page will reduce inbound volume and increase qualified pipeline conversion. The net revenue effect is positive within a quarter in most cases.
Start with four criteria. Refine over two quarters based on the self-selection behavior you observe. The page improves as you learn which exclusions are genuinely predictive of misfit engagements.
See how we built our exclusion list at Striveloom about and how it connects to our operational service design at Striveloom services.
Yes, by 15-25 percent in the first 60 days in most cases. The qualified pipeline conversion rate rises by more than enough to offset the volume reduction. An agency that moves from 500 monthly inquiries at 14 percent close rate to 375 monthly inquiries at 45 percent close rate is generating more closed deals, not fewer. The math consistently favors publishing exclusion criteria, provided the criteria are accurately predictive of misfit engagements and not arbitrarily restrictive.
Specific enough to be testable. A buyer should be able to read the criteria and determine within two minutes whether they qualify or not. Vague criteria like 'clients who are not committed to growth' are not testable. Specific criteria like 'companies below $1M ARR' or 'engagements under $10,000 total scope' are testable. The goal is criteria that disqualify misfit prospects before they book a call and confirm qualified prospects before they speak to anyone on your team.
Update the page as criteria change. The page is a living positioning document, not a permanent legal contract. If you move to a new category focus, the exclusion criteria should reflect the new ICP. The important discipline is keeping the published criteria in sync with the operational criteria you actually apply in sales decisions. Outdated exclusion criteria that no longer match your actual sales behavior are worse than no criteria, because they signal incoherence.
Yes, if those are genuine disqualifiers. Budget minimums are among the most useful exclusion criteria because they set financial expectations before any time is spent. Publishing a minimum engagement size signals operational confidence and filters out prospects who would negotiate below that threshold regardless of the project scope. The risk of publishing a minimum is that some prospects at the threshold will not contact you. That is the correct outcome: those prospects are borderline fits at best.
Most effectively as a named section on the services or about page with a direct URL that can be linked in outreach and proposals. A standalone page titled 'Who We Work With' or 'Is This a Fit' is also effective. The key is that it be findable from the homepage and from any sales or outreach touchpoint. Burying it in the contact page footer reduces its effectiveness as a pre-qualification tool.
The exclusion page reduces conversion of misfit organic traffic, which is the intended outcome. If a visitor arrives from an 'affordable web design agency' search and reads that you do not work with engagements under a defined minimum, they leave. That is a better outcome than having them schedule a call your team declines. The exclusion page increases the quality of contacts that SEO generates, which improves overall sales team efficiency and reduces the time spent on misfit discovery calls.
Founder & CEO of Striveloom. Software engineer and Harvard graduate student researching software engineering, e-commerce platforms, and customer experience. Builds the agency that ships like software — one team, one pipeline, one platform. Writes on AI agencies, web development, paid advertising, and conversion optimization.
Saying full-service gives buyers no comparison point and forces a price competition. The positioning fix is specific, testable, and takes one conversation to start.
Most rebrands fail because they skip positioning. The 8-question audit that has saved 14 agencies from spending $200K on a logo refresh that solved nothing. With downloadable template.
Same services. New category. Close rate went from 14% to 57%. A 14-person agency reversed three flat years without adding a single new service.
Book a free 30-minute call to scope your project. Fixed pricing, transparent timelines.