Vertical Playbooks · mixed evidence
The Marketplace Tax: Comparing Customer Acquisition Cost Across Home Services, Real Estate, and Legal Lead Platforms
Customer acquisition cost is the toll a local business pays to turn a stranger into a booked customer, and in three verticals that toll is collected by an intermediary sitting between the buyer and the business: shared-lead marketplaces in home services, the buyer-agent commission structure in real estate, and directories in law. Laid side by side, the tolls are not equal, and neither is the evidence for them. The real-estate commission figures rest on a settled antitrust record and are solid. The home-services per-job cost figures are real-world reported but not independently audited, and the legal-directory numbers are the thinnest of the three. This study compares what each marketplace charges, labels how confident we can actually be in each figure, and asks the more useful question: where does escaping the toll for owned search and AI-answer visibility actually pay off, and where does it not yet.
What a marketplace tax actually is
Every local-service market has, or recently had, an intermediary that stands between the buyer and the business and charges for the introduction. In home services it is the lead marketplace. In residential real estate it is the cooperative-commission structure attached to the multiple listing service. In law it is the directory and referral service. The economist's word for the layer is intermediation, and the pressure that removes it is disintermediation. What all three share is that the buyer's demand already exists; the intermediary simply owns the moment of discovery and charges rent on it.
We call this rent a "tax" rather than a "price" for a specific reason. A price buys a service whose cost you can weigh against alternatives. A tax is levied on a transaction you were going to make anyway, by a party that controls the channel. When a homeowner with a burst pipe, a family choosing an agent, or a person needing a lawyer is routed through a gate they cannot see around, the fee they trigger has the character of a toll, not a negotiated purchase. The question this study asks is how heavy each toll is, how sure we can be of the number, and whether there is a road that avoids the tollbooth.
One caution before any figures: acquisition-cost comparisons across verticals are notoriously uneven in their evidence quality. Some rest on public antitrust records, others on self-reported operator anecdotes. We label each one by its own evidence tier rather than presenting them as a single clean table of equivalents; the verticals are not equivalent, and treating them as one would misstate what the numbers actually show.
Real estate: the commission toll after the NAR settlement
Real estate's intermediation toll is the largest by absolute dollars and, since 2024, the best documented. For decades the buyer-agent commission was set through a cooperative structure and posted on the multiple listing service, so the fee that ultimately came out of the transaction was baked in before the buyer ever negotiated it. That structure is what the National Association of Realtors' 418 million dollar antitrust settlement, which received final approval on November 26, 2024, was built to change.
Two structural changes matter for acquisition economics. First, sellers' agents can no longer publish buyer-agent compensation on the MLS, removing the field that made the commission an assumed default. Second, buyer's agents must now sign a written compensation agreement with a buyer before touring homes, moving the fee from an opaque, pre-set number into an explicit, negotiated, buyer-facing conversation. Early data is consistent with a commission under new downward pressure: Redfin reported buyer-agent commissions easing from 2.61 percent to 2.55 percent within a single quarter of the rule taking effect.
The reason this restructuring matters for visibility, rather than only for paperwork, is what it does to agent selection. Buyers already start online, with 41 to 47 percent of buyers across the 2020 to 2025 trend saying that looking online was their first step, yet 88 percent of buyers still ultimately purchase through an agent or broker. The online search does not replace the agent relationship; it precedes and directs it. Once commission is no longer a hidden default on the MLS, the visible signals a buyer meets first, an agent's reviews, reputation, and search presence, carry more of the selection weight than they did when the fee was simply assumed.
Legal: the directory and referral toll
The legal vertical's toll is real but the hardest to price. Small and solo firms have long relied on legal directories and referral services as a discovery channel, and those services charge for placement or per introduction. But unlike home services and real estate, we located no independently attributable per-lead or per-client acquisition-cost figure for legal directories that meets this publication's citation standard, so we do not publish one.
What can be stated with confidence is the regulatory structure that shapes the toll. Attorney advertising is governed by an affirmative truthfulness standard: the American Bar Association's Model Rule 7.1 makes even a literally true statement misleading if it omits a fact necessary to keep the whole communication non-misleading, or if it would lead a reasonable person to a conclusion with no reasonable factual foundation. Separately, Model Rule 7.2 bars a lawyer from paying for referrals except through qualified, unbiased not-for-profit lawyer referral services. That rule is why pay-per-lead legal marketplaces occupy a more constrained and scrutinized position than their home-services equivalents: the permissible ways to pay for an introduction are narrower for a lawyer than for a plumber.
The practical consequence is that the legal directory toll is partly a compliance cost, not only a media cost. A firm is paying for placement inside a regulatory regime where the claims made on its behalf, and the structure of any referral fee, are independently policed by the bar. We treat the legal per-client figure as a genuine evidence gap and label it contested throughout, rather than borrow a number from marketing content that cannot be traced to a primary source.
The three tolls side by side
Laid against each other, the three verticals do not share a common unit, which is itself the first finding. Home services charges per shared lead, real estate charges a percentage of the sale price, and law charges for directory placement inside a professional-conduct regime. Comparing them requires holding the differences in evidence quality in view at the same time as the differences in dollars.
By absolute dollars the real-estate commission is the heaviest toll, and it is also the best evidenced, resting on a settled antitrust record and disclosed brokerage data. By multiple over the owned-channel alternative, the home-services shared-lead model looks the most punishing, with a reported four-to-five-times premium, but that multiple carries the weakest evidence. The legal directory toll sits between them in principle and last in measurability, because a reliable figure does not yet exist in a citable form. A reader looking for the single "worst" vertical will not find a clean answer here; the useful comparison is toll weight against evidence confidence, and those two axes do not line up.
- Home services: per shared lead, roughly 1,400 dollars per booked job reported, about 4 to 5 times owned-channel cost (evidence: emerging, needs primary data).
- Real estate: percentage of sale price, historically posted on the MLS, now negotiated in writing after the 418 million dollar NAR settlement, with early commission easing from 2.61 to 2.55 percent (evidence: established).
- Legal: directory and referral placement inside ABA Rule 7.1 and 7.2 constraints, no citable per-client toll figure located (evidence: contested / gap).
Why the toll is a tax, and why it is under pressure
The through-line across all three verticals is that the intermediary owns the moment of discovery and charges rent on demand the business would have earned anyway. That is what makes the fee behave like a tax. But the same evidence that documents the tolls also documents the pressure removing them, and it points consistently in one direction: toward transparency and toward owned channels.
The NAR settlement is the clearest case. It did not abolish the commission; it forced it out of a hidden MLS field and into an explicit, negotiated disclosure, and early data shows the number beginning to move once it became visible. The same logic runs under the home-services complaints about opaque, unpredictable lead pricing: the toll persists precisely because the buyer cannot see the tollbooth. Where the fee becomes legible and negotiable, its grip loosens. This is disintermediation pressure in the ordinary economic sense, and it is why a business's own Google Business Profile, its own site, and its own presence in AI answers read as a comparatively durable channel than a marketplace's rented slot, not because owned visibility is free, but because no third party can raise its price on you or sell your inbound contact to four competitors at once.
Where escape to owned visibility is most viable
The alternative to paying the toll is being found directly, which for local services means the local map pack and, increasingly, the AI answer. Both carry real, cited economics, and both come with real limits.
The local map pack captures a disproportionate share of local-intent attention. Local searchers click the local 3-pack results about 44 percent of the time, versus roughly 29 percent for organic links and 19 percent for paid, and the top map-pack position draws around 17.8 percent of clicks. Businesses that appear in the pack receive materially more traffic and more user actions, calls, direction requests, and site clicks, than comparable businesses that do not; one industry study cited by SOCi reported figures on the order of 126 percent more traffic and 93 percent more actions for pack-visible businesses. The direction of that finding is well established; the precise magnitudes are secondary-sourced and should be read as indicative rather than exact.
The newer surface, the AI answer, is where the owned-visibility case is most promising and least proven. Generative engines and the classic local pack measurably disagree about who gets recommended: a business ranking in Google's top local-pack results has been reported to have less than even odds of also appearing in AI local recommendations, and visibility in ChatGPT's local recommendations is described as far harder to earn than a map-pack ranking, on the order of a thirty-times gap in one vendor analysis. That divergence is a single-vendor, emerging finding and we flag it as such, but its practical implication is sturdy: owning your discovery across both the map pack and the AI answer is a different and larger job than winning either alone, and it is a job no marketplace toll buys for you.
How to read these numbers
The responsible way to use a cross-vertical acquisition-cost comparison is not to pull the biggest scary multiple into a sales deck. It is to separate what is settled from what is estimated, and then measure your own position rather than assume the industry average is yours.
The real-estate commission story is settled enough to plan around. The home-services shared-lead premium is directionally credible but not yet backed by audited operator data, so it belongs in a business case as an estimate with a stated caveat, not as a guarantee of savings. The legal directory figure should not be quoted at all until a primary source exists. And the owned-channel payoff, the map pack and the AI answer, is real but uneven: strong evidence for the map pack's pull, emerging evidence for the AI-answer divergence, and no way to promise a specific acquisition cost in advance. The correct next step is therefore not a projection; it is a measured read of where a specific business actually stands across the surfaces that now decide who gets chosen.
The evidence
Key findings, with their sources
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The National Association of Realtors' 418 million dollar antitrust settlement received final approval on November 26, 2024, barring buyer-agent compensation from being posted on the MLS and requiring written buyer-broker compensation agreements before touring homes.
established NAR, "NAR Settlement FAQs", 2024.
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Buyer-agent commissions eased from 2.61% to 2.55% within one quarter of the settlement rules taking effect.
established Redfin data cited via settlement-tracking legal summaries, 2024.
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41 to 47 percent of buyers (2020 to 2025 trend) say looking online was their first step, yet 88 percent ultimately purchase through an agent or broker.
established National Association of Realtors, 2025 Profile of Home Buyers and Sellers, Nov. 2025.
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Home-services lead marketplaces route the same homeowner contact to multiple competing contractors at once; reported effective cost per booked job on Angi is roughly 1,400 dollars or more, about 4 to 5 times the reported cost of owned SEO or self-managed Google Ads, with a Better Business Bureau average near 1.96/5 for Angi Leads.
emerging Aggregated contractor-facing industry comparisons (FieldPulse, PipelineOn, trade-forum data), 2026.
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ABA Model Rule 7.1 makes a true statement misleading if it omits a fact necessary to keep it non-misleading; Rule 7.2 bars paying for referrals except through qualified, unbiased not-for-profit lawyer referral services.
established American Bar Association, Model Rules of Professional Conduct, Rule 7.1 and 7.2.
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Local searchers click the local 3-pack about 44% of the time versus roughly 29% organic and 19% paid; the #1 map-pack position draws about 17.8% of clicks, and one SOCi-cited study reported 126% more traffic and 93% more actions for pack-visible businesses.
emerging Aggregated Google local-search behavior studies as reported by SearchEngineLand / industry local-SEO research, 2025.
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A business ranking in Google's top local pack has less than even odds of also appearing in AI local recommendations, and ChatGPT local visibility is reported as roughly 30 times harder to earn than a Google map-pack ranking.
emerging BrightLocal, "AI Search Makes Local Listings More Important Than Ever" and "How AI Is Impacting Local Search", 2025 to 2026.
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No independently attributable per-lead or per-client acquisition-cost figure for legal directories was located that meets a primary-source citation standard.
contested Evidence gap noted per this research pass; figures in circulation are marketing-vendor sourced and not traceable to a primary study.
Calibration
What is proven, what is promising, what is unproven
| Evidence tier | Tactics | What the evidence says |
|---|---|---|
| established | Real-estate commission restructuring and its early effect on the buyer-agent fee; the map pack's disproportionate share of local-intent clicks (direction); the ABA rules governing legal advertising and referral fees. | NAR settlement (public antitrust record) and NAR 2025 buyer/seller profile; ABA Model Rules 7.1 and 7.2 (rule text); Redfin brokerage data. |
| emerging | The home-services shared-lead per-job cost and its multiple over owned channels; the precise magnitude of the map pack's traffic advantage; the map-pack-versus-AI-answer recommendation divergence. | Contractor-reported and trade-forum data (home services); secondary-sourced local-search magnitude figures; single-vendor BrightLocal analysis (AI divergence). |
| contested | Any specific per-client acquisition cost attributed to legal directories. | No traceable primary source located; circulating figures are marketing-vendor content and are not published here. |
Reference
Glossary
- Customer acquisition cost
- The total cost of turning a stranger into a booked or paying customer through a given channel, including the fees, media, and effort spent to earn that one transaction.
- Marketplace tax
- The rent an intermediary charges for owning the moment of discovery, levied on demand a business would likely have earned anyway rather than sold as a weighable service.
- A single inbound buyer contact that a lead marketplace sells to several competing businesses at the same time, so each pays for an auction slot against rivals racing to respond first.
- Cooperative compensation
- The real-estate structure in which the buyer-agent commission was historically set and, before the NAR settlement, posted on the MLS, making the fee an assumed default rather than a negotiated line item.
- Disintermediation
- The removal of a middle layer between buyer and business, typically driven by transparency, so demand reaches the business directly rather than through a toll-charging intermediary.
- Owned surface
- A discovery channel a business controls, such as its own Google Business Profile, website, or presence in AI answers, where no third party sets the price or resells the inbound contact.
Straight answers
Frequently asked questions
What is the "marketplace tax" in local services?
It is the fee an intermediary charges for standing between a buyer and a business at the moment of discovery: shared-lead marketplaces in home services, the cooperative buyer-agent commission in real estate, and directories in law. It behaves like a tax rather than a price because it is levied on demand the business would likely have earned anyway, through a channel the intermediary controls.
Which vertical has the highest acquisition-cost toll?
There is no single clean answer. By absolute dollars the real-estate commission is heaviest and also the best documented, resting on the public NAR antitrust settlement record. By multiple over the owned-channel alternative, the home-services shared-lead model looks the most punishing, at a reported four to five times, but that figure carries the weakest evidence. The legal directory toll is the least measurable of the three.
Is the Angi cost-per-job figure reliable?
It is directionally credible but not audited. The roughly 1,400-dollar-per-booked-job figure and the four-to-five-times multiple come from contractor-reported anecdotes, trade forums, and marketing-vendor comparisons, not an independent dataset. Treat it as an industry-reported estimate with a stated caveat, not a measured fact or a promise of savings.
How did the NAR settlement change how buyers find agents?
It moved the buyer-agent commission out of a hidden MLS field and into an explicit, written, negotiated agreement signed before touring homes. Because the fee is no longer an assumed default, the visible signals a buyer meets first, an agent's reviews, reputation, and search presence, carry more of the selection weight than they did when the commission was simply baked in.
Is escaping the marketplace toll for owned visibility guaranteed to be cheaper?
No. The evidence for the local map pack's pull is strong and the case for owning both the map pack and the AI answer is compelling, but the exact acquisition cost of owned visibility cannot be promised in advance. The right first step is to measure where a specific business actually stands, then weigh the toll against the time-to-payoff of owned visibility for that business.
Provenance
Sources
- National Association of Realtors, "NAR Settlement FAQs", 2024 (established)
- National Association of Realtors, 2025 Profile of Home Buyers and Sellers, Nov. 2025 (established)nar.realtor
- Redfin buyer-agent commission data, cited via settlement-tracking legal summaries, 2024 (established)
- American Bar Association, Model Rules of Professional Conduct, Rule 7.1 and Rule 7.2 (established)americanbar.org
- Aggregated contractor-facing industry comparisons (FieldPulse, PipelineOn, trade-forum data), 2026 (emerging, needs primary data)
- Aggregated Google local-search behavior studies as reported by SearchEngineLand and industry local-SEO research, 2025 (established direction, emerging magnitude)
- BrightLocal, "AI Search Makes Local Listings More Important Than Ever" and "How AI Is Impacting Local Search", 2025 to 2026 (emerging, single-vendor)
- Federal Trade Commission, Trade Regulation Rule on the Use of Consumer Reviews and Testimonials, 16 CFR Part 465, effective Oct. 21, 2024 (established, context)ecfr.gov
Every figure above is attributed to a real, dated source and tagged with its evidence tier. Where a claim could not be verified to a primary source, it is not stated as fact.