Vertical Playbooks · mixed evidence

The Home Services Buyer Journey: Marketplaces, the Local Pack, and the Cost of Acquisition

Last reviewed 2026-07-20. Written by Chandranshu Kumar, Founder, Raveneye Global. · 11 min read

A homeowner with a burst pipe does not run a research project. They pick up a phone, ask it or an assistant who to call, and dial the first credible name that comes back. That short path, from problem to shortlist to a booked job, is the home services buyer journey, and it has a toll booth in the middle. A contractor can reach the buyer through a lead marketplace such as Angi or Thumbtack, which resells the same homeowner to several competitors at once, or through owned visibility: the local map pack, the business profile, reviews, and now the AI answer written above the links. The evidence points one direction. The marketplace lead is the most expensive door in the funnel, with contractor-reported acquisition cost running several times higher than owned search. This is where home services SEO stops being a ranking exercise and becomes an argument about cost of acquisition. The numbers below are tiered by how firmly the evidence supports them, because some of them still rest on industry estimates rather than audited data.

The funnel: from problem to booked job

Home services demand is unusual because it is mostly urgent and mostly unplanned. Nobody bookmarks a plumber in advance. The journey begins at a trigger, water on the floor, a dead furnace, a roof leak in a storm, and compresses into minutes. In that window the homeowner does four things in quick order: they surface a set of options, they form a shortlist, they check just enough to trust one name, and they call. The whole sequence can happen on a single phone screen before a website ever loads.

Each stage is a gate, and each gate is now controlled by an intermediary rather than by word of mouth. The option set comes from a search box or an assistant. The shortlist comes from whatever that surface chooses to show first, most often the local map pack. The trust check comes from the review aggregate. Only the final call is fully the homeowner's own act, and even that depends on the contractor picking up. The practical question for a contractor is not "how do I rank" in the abstract. It is which gate am I paying to pass, and at what price.

There are two ways through the funnel. The first is to rent access from a lead marketplace that has already positioned itself at the discovery gate and sells the homeowner's contact to whoever pays. The second is to own the surfaces the buyer reaches directly, so the engine hands the job to you without a middleman taking a cut. The rest of this piece compares the cost of those two doors, stage by stage.

The local pack decides the shortlist

For a local-intent query, the three-result map block sits above the classic links and absorbs a disproportionate share of the clicks. Aggregated local-search behavior studies reported through industry local-SEO research in 2025 put clicks on the local three-pack at roughly 44 percent of local searches, against about 29 percent for organic links and 19 percent for paid. Inside the pack, position compounds the effect: the top slot draws an estimated 17.8 percent of clicks, ahead of 15.4 percent for the second and 15.1 percent for the third.

The lift is not only in clicks. A SOCi-cited industry study found businesses appearing in the local pack received on the order of 126 percent more traffic and 93 percent more user actions, the calls, direction requests, and site visits that actually turn into jobs, than comparable businesses absent from the pack for the same queries. We flag the precise magnitudes here as emerging: the direction is well established, but these specific figures are secondary-sourced rather than drawn from a single disclosed primary methodology.

The operational reading is straightforward. Map-pack ranking is the shortlist. A contractor absent from it has not lost on price or on years in the trade; the company was never in the room. And because the pack is owned real estate rather than rented, the marginal cost of an additional job through it, once the profile is built and maintained, is close to zero. That is the benchmark every other channel is measured against.

The marketplace toll: what a shared lead actually costs

Lead marketplaces sit one gate earlier, at discovery, and monetize the contractor's absence from owned surfaces. The defining feature of the model is that the same homeowner contact is routed to several competing contractors at once. The contractor does not buy a customer; they buy the right to race three or four others for one, and pays whether or not they win.

The reported economics are steep. Contractor-facing industry comparisons in 2026 put the effective cost per booked job on Angi at roughly 1,400 dollars or more once losing bids on shared leads are counted, which the same sources place at something like four to five times the reported cost of acquiring a customer through owned SEO or self-managed search ads. Contractor complaints concentrate on fake and duplicate leads and opaque pricing; the Better Business Bureau customer rating for Angi Leads sits around 1.96 out of 5.

These figures deserve a clear tier label. They are emerging and in need of primary data: they come from self-reported contractor anecdotes and marketing-vendor comparisons, not an independent audited dataset. We report the direction with confidence and the exact multiple with caution. The claim we stand behind is directional and consistent across sources, that the shared-lead marketplace is materially more expensive per booked job than owned local search, not that the premium is precisely 4.7 times in any given market.

A third gate has opened: the AI answer

The funnel now has a stage that did not exist a few years ago. Before opening Google, a growing share of homeowners ask an assistant, ChatGPT, Gemini, Perplexity, or Google's AI Overview, for a good local plumber or HVAC company and act on the written answer. BrightLocal's consumer survey reported that 45 percent of consumers had used an AI tool to find a local-business recommendation in the trailing year as of its 2026 edition, up from 6 percent a year earlier. That specific jump is a large single-source swing and we treat it as emerging, but the broader adoption trend is corroborated: Pew Research Center found in June 2026 that 49 percent of US adults now use chatbots at all, and 42 percent of chatbot users use them specifically for information search.

The important structural fact is that the AI answer and the map pack do not agree on who to recommend. BrightLocal's 2025 to 2026 local-search research found that a business ranking in Google's top local-pack results has less than even odds of also appearing in AI local recommendations, and reported that visibility in ChatGPT's local recommendations is far harder to obtain than a map-pack ranking, on the order of a 30-times gap. Google's AI Overviews and AI Mode draw primarily on the Google Business Profile as the local data source, with Yelp cited in roughly a third of AI local searches for review synthesis. These are single-vendor proprietary findings, so we tier them emerging, directionally consistent with the classic-versus-generative divergence tracked more broadly.

For the contractor the consequence is concrete. A gap that used to cost one listing now costs two surfaces at once, the map pack and the written answer above it, and the inputs that feed the AI answer are the same owned assets, a clean profile and real reviews, that feed the pack. Both AI trust and the answer itself remain low-certainty terrain, though: the same Pew survey found only 29 percent of US chatbot users trust the information they get from chatbots "a lot" or "some." Presence in the answer is worth engineering; treating the answer as infallible is not.

Why owned visibility escapes the toll

Step back from the tactics and the pattern is an old one in platform economics. Almost every local vertical has, or had, an incumbent aggregator that inserts itself between demand and supply and charges for the introduction: Angi and Thumbtack in home services, delivery platforms in restaurants, directories in law. The marketplace toll is the price of that intermediation. Owned visibility is the disintermediation, the business reaching the buyer through surfaces it controls rather than surfaces it rents.

The economics favor the owned side over time for a simple reason. A marketplace lead is a recurring variable cost paid per contact, forever, and it rises with competition because the same lead is sold to more bidders. An owned surface is a fixed build plus maintenance: the profile, the entity consistency across directories, the review flow, the schema, done once and held. Past the point where the build is paid off, each additional job through the map pack or the AI answer carries almost no marginal acquisition cost. The marketplace never reaches that point, because the toll is charged on every single lead.

Reputation is the part of the owned surface that both ranks the business and closes the buyer, and here the evidence is genuinely strong. Michael Luca's study of Yelp ratings found that a one-star increase in a business's rating produced a 5 to 9 percent increase in revenue, and that the effect was concentrated in independent businesses rather than chains, plausibly because a recognized brand already carries a quality prior that an independent has to earn through reviews. That finding, published as a Harvard Business School working paper in 2011 and revised in 2016, is one of the most firmly established in this whole domain, and it is why review work is not a cosmetic add-on for an independent contractor. It is the mechanism by which owned reputation both wins the map-pack slot and converts the homeowner who reaches it.

The last yard: visibility only pays if the phone is answered

Every gate discussed so far ends at the same place, a homeowner deciding to call. In home services that call arrives after hours, on a weekend, or in the middle of another job, and an unanswered call is almost always a lost job to the next contractor who picks up. This is the stage where hard-won visibility quietly leaks: a contractor can win the map pack, earn the AI answer, and still lose the booked job at the last yard because nobody answered.

The audited buyer-journey evidence in this piece covers discovery and shortlist, not answer rates for this final stage. What the evidence does support is structural: acquisition spend on any channel, owned or rented, is wasted if the intake at the end of it fails, and the intake gate is the cheapest one to fix because it does not require winning any ranking at all. It only requires that the earned call gets answered or recovered.

This is where the owned-visibility argument connects to operations. The point of escaping the marketplace toll is to convert more jobs per dollar of acquisition, and that math only works if the calls those surfaces generate are captured. Getting found is the first half of the fight. Answering is the second, and it is the half most owners have never had anyone maintaining.

Reading the evidence

The thesis of this piece, that the marketplace toll is paid at a large premium over owned local-pack and AI-answer visibility, rests on evidence of uneven strength, and it is worth being explicit about which claims are firm and which are provisional.

The established claims are the ratings-and-revenue link from the Luca study and the broad adoption of chatbots for information search from Pew. The emerging claims are the exact local-pack click and traffic magnitudes, which are secondary-sourced, and the AI-versus-map-pack divergence, which currently rests on a single vendor's proprietary research. The weakest link, tiered emerging and in need of primary data, is the marketplace acquisition-cost multiple itself, which comes from contractor anecdotes and vendor comparisons rather than an audited dataset.

That last gap is not a reason to distrust the direction; it is a reason to measure your own numbers rather than inherit an industry average. A contractor who knows their real cost per booked job by channel can settle the marketplace-versus-owned question with their own data instead of a blog post's estimate. The starting point is a direct read of where you actually stand across each gate, a measurement, not a promise.

The evidence

Key findings, with their sources

Local searchers click the local three-pack about 44% of the time, versus roughly 29% for organic links and 19% for paid; the top pack position draws an estimated 17.8% of clicks.

emerging Aggregated Google local-search behavior studies as reported through industry local-SEO research (SearchEngineLand and related), 2025.
Businesses appearing in the local pack received on the order of 126% more traffic and 93% more user actions (calls, direction requests, site clicks) than comparable non-pack businesses for the same queries.

emerging SOCi-cited industry local-search study, 2025.
Contractor-reported effective cost per booked job on Angi runs about 1,400 dollars or more, roughly four to five times the reported cost of acquiring a customer via owned SEO or self-managed search ads; the BBB customer rating for Angi Leads sits near 1.96 out of 5.

emerging Contractor-facing industry comparisons (FieldPulse, PipelineOn, trade-forum-sourced cost data), 2026.
A business ranking in Google's top local-pack results has less than even odds of also appearing in AI local recommendations, and ChatGPT local visibility is reported to be roughly 30 times harder to obtain than a map-pack ranking.

emerging BrightLocal, "AI Search Makes Local Listings More Important Than Ever" and "How AI Is Impacting Local Search," 2025 to 2026.
45% of consumers reported using an AI tool to find a local-business recommendation in the trailing year as of 2026, up from 6% a year earlier; separately, 49% of US adults use chatbots and 42% of chatbot users use them for information search, while only 29% trust chatbot information "a lot" or "some".

emerging BrightLocal, Local Consumer Review Survey 2024/2026; Pew Research Center, "Americans and AI 2026," June 17, 2026.
A one-star increase in a business's online rating produced a 5 to 9 percent increase in revenue, concentrated in independent businesses rather than chains.

established Luca, M., "Reviews, Reputation, and Revenue: The Case of Yelp.com," Harvard Business School Working Paper 12-016, 2011 (revised 2016).

Calibration

What is proven, what is promising, what is unproven

Evidence tier	Tactics	What the evidence says
established	Reputation and review work; earning the map-pack slot through real reviews	Luca (2011, rev. 2016): a one-star rating increase lifts revenue 5 to 9 percent, concentrated in independents. Pew (2026): chatbot use for information search is now mainstream.
emerging	Prioritizing the local pack and the AI answer as the shortlist gates	Local-pack click and traffic-lift magnitudes are secondary-sourced; the AI-versus-map-pack divergence rests on a single vendor (BrightLocal). Direction is consistent; exact figures are provisional.
emerging / needs primary data	The marketplace-versus-owned acquisition-cost comparison	The four-to-five-times premium comes from contractor anecdotes and vendor comparisons, not an audited dataset. Best resolved with a contractor's own cost-per-booked-job by channel.

Reference

Glossary

Local pack (map pack, local three-pack): The block of three business listings with a map that appears above the classic links for a local-intent search. It is the shortlist most local buyers act on.
Shared lead: A homeowner contact that a lead marketplace sells to several competing contractors at once, so each buyer pays to compete for one job rather than to win a customer.
Cost per booked job: The all-in acquisition cost of one customer who actually books, counting money spent on leads that did not convert. On a shared-lead marketplace it is higher than the per-lead price implies.
Owned versus rented visibility: Owned surfaces (your Google Business Profile, site, reviews, AI-answer presence) are built once and held; rented surfaces (lead marketplaces) charge a recurring toll per contact.
Disintermediation: The removal of a middleman between buyer and seller. In home services it means reaching the homeowner through surfaces you control rather than through a marketplace that charges for the introduction.

Straight answers

Frequently asked questions

Is Angi or Thumbtack cheaper than doing home services SEO?

On the reported evidence, no, not per booked job. Contractor-facing 2026 comparisons put the effective cost per booked job on shared-lead marketplaces at roughly four to five times the cost of a customer acquired through owned local search. That figure is industry-reported rather than audited, so the practical move is to measure your own cost per booked job by channel and compare directly.

What is the local pack and why does it matter for contractors?

The local pack is the three-listing map block above the classic links for a local search. Aggregated 2025 studies put its share of local-search clicks around 44 percent, well above organic and paid, and businesses inside it draw materially more calls and direction requests. For a contractor it is the shortlist the homeowner acts on, and unlike a marketplace lead it carries almost no marginal cost once the profile is built.

Do homeowners really use AI to find contractors now?

A growing share do. BrightLocal reported 45 percent of consumers used an AI tool to find a local-business recommendation in the trailing year as of 2026, and Pew found 42 percent of chatbot users use them for information search. That specific jump is single-source and we treat it as emerging, but the trend is corroborated. The catch is that AI recommendations and the map pack often disagree on who to name, so being in one does not guarantee the other.

If I win the map pack and the AI answer, is the job booked?

Not on its own. Every discovery gate ends at a phone call, and in home services that call often arrives after hours or during another job. An unanswered call is usually a lost job to the next contractor. Visibility spend only pays back if the intake at the end of the funnel captures or recovers the calls it generates, which is the cheapest part of the funnel to fix because it does not require winning any ranking.

How do I know where my lead cost is actually highest?

By measuring it directly rather than trusting an industry average. A structured read looks at each gate, the map pack, the AI answer, your reviews, and your intake, and shows where you are present, where you are absent, and where earned demand is leaking. That reading is the starting point before any spend is redirected. No guaranteed number, and no obligation.

Provenance

Sources

Aggregated Google local-search behavior studies as reported through industry local-SEO research (SearchEngineLand and related), 2025 (local three-pack click share and traffic-lift figures) (emerging on magnitude, established on direction)
SOCi-cited industry local-search study, 2025 (126% more traffic / 93% more actions for pack businesses) (emerging)
FieldPulse, PipelineOn, and trade-forum-sourced contractor cost data, 2026 (Angi and Thumbtack effective cost per booked job) (emerging, needs primary data)
Better Business Bureau customer-review rating for Angi Leads, 2026 (emerging)
BrightLocal, "AI Search Makes Local Listings More Important Than Ever" and "How AI Is Impacting Local Search," 2025 to 2026 (emerging, single-vendor)brightlocal.com
BrightLocal, Local Consumer Review Survey 2024 and 2026 editions (emerging on the 6% to 45% jump)
Pew Research Center, "Americans and AI 2026: Chatbots, Smart Devices and Views on Impact," June 17, 2026 (established)pewresearch.org
Luca, M., "Reviews, Reputation, and Revenue: The Case of Yelp.com," Harvard Business School Working Paper 12-016, 2011 (revised 2016) (established)

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.