A small contractor bidding on a geyser replacement in 2019 worked the phones: three call-outs, three verbal numbers, no way to know which one reflected the job and which reflected the moment. The homeowner on the other end had even less to go on — a single quote, no benchmark, and a decision made on trust alone. In 2026, the same homeowner opens a price-transparency platform before the first call is made, checks a published range for the job, and negotiates from a number rather than a guess. The phone call still happens. What has changed is who walks into it informed.
Why home-services pricing stayed opaque while the rest of property went digital
Real estate has spent the past decade being rebuilt by software. Listings moved onto searchable portals, mortgages moved onto instant pre-approval engines, leasing moved onto self-service platforms, and building operations moved onto sensor-driven management systems. J.P. Morgan’s proptech research traces this shift across nearly every layer of how commercial and residential property is bought, leased and run — a category that has, by its own account, changed how capital and information move through the industry.
One layer was left behind. Plumbing, geysers, drains, electrical call-outs and the rest of the trade-services economy that keeps those same properties functional never digitised its pricing. The reason is structural rather than accidental. Trade services are delivered by thousands of small, local, often one-person operators rather than a handful of scaled platforms. Each job is priced individually against site conditions, access and materials, so there is no standard SKU the way there is for a two-bedroom listing or a thirty-year mortgage. The information a buyer needs to judge a quote — what the job typically costs in that market — has historically lived only in the tradesperson’s head. Proptech digitised the asset. It left the labour that maintains the asset exactly where it started: quote by phone, priced by whoever answers first.
The proptech economics of transparency
What listing portals did to property search, and what mortgage-rate aggregators did to lending, is now the template being applied to trade-services pricing: collapse the information asymmetry by aggregating what providers actually charge and publishing it as a reference range.
The mechanism has a few distinct effects. The first is that it compresses the spread of outlier pricing — a provider quoting well above the published range now has to justify the gap rather than simply hoping the buyer has no reference point. The second is that it shifts negotiating leverage toward the buyer, who enters the call already holding a number instead of waiting to receive one. The third is that it rewards providers who compete on service, reliability and turnaround rather than on the buyer’s lack of information, since price is no longer the variable a provider can quietly set unobserved. This is the same rebalancing that happened to real estate brokerage once listing prices became public and searchable — the transaction did not disappear, but the information advantage that used to sit entirely with the seller’s side thinned out considerably.
How price-transparency platforms work in the home-services layer
The model emerging in this category is, in structure, closer to a rate-comparison engine than a marketplace. These platforms collect pricing data for a defined trade in a defined region, aggregate it into a published range rather than a single quoted figure, and let a prospective buyer benchmark an incoming quote against that range before committing to a provider. Some layer a directory of providers on top; others stop at the reference data itself and leave sourcing the job to the buyer.
South Africa has its own example of the category: a South African plumbing-price comparison platform that publishes reference ranges for common plumbing jobs in local markets, giving a homeowner a starting benchmark before a tradesperson is even contacted. The function is illustrative of the wider model rather than unique to one market — the same structural gap between fragmented local trade pricing and an available public benchmark exists wherever the trade-services layer has stayed offline while the rest of property software moved on.
What the regulators are watching
Publishing a reference price and coordinating on one are not the same act, and regulators are increasingly drawing that line carefully. Fenwick’s analysis of FTC activity notes heightened scrutiny of proptech pricing platforms generally, with particular attention to tools that move from showing information to actively setting it. The distinction that matters is between a platform that discloses what a market is charging — pro-competitive, since it gives buyers information they previously lacked — and a platform or algorithm that recommends, aligns or sets prices across competing providers, which regulators have treated as a potential coordination risk in adjacent categories such as algorithmic rental pricing.
A transparency platform that simply publishes an observed range sits on the disclosure side of that line. One that starts advising providers on what to charge, or feeding pricing recommendations back into the market it is measuring, moves toward the side regulators are watching. The distinction is likely to sharpen as more of these tools launch, and the platforms that stay on the disclosure side of it are the ones with a durable position.
What it means for operators and homeowners
For operators, a published reference range functions as a filter rather than a threat. Providers whose pricing already sits within a fair, defensible range have little to fear from a benchmark that confirms it; the businesses under pressure are the ones whose model depended on the buyer never finding out what the job should cost. Over time, that pressure tends to reward operators who compete on responsiveness, workmanship and reputation once price stops being the hidden variable.
For homeowners, the shift replaces a blind call with an informed one. A published range is a reference point, never a firm price — the final figure still depends on the specific job, access and materials, and no platform can substitute for an on-site assessment. What it removes is the total absence of a starting point that has defined the category until now.
The bottom line
Proptech’s first decade digitised the parts of real estate that were already structured — listings, mortgages, leasing, building operations. The trade-services layer that keeps those properties running was left as the category’s unfinished business, priced by phone call with no public reference point. Price-transparency platforms are now doing to that layer what listing portals did to search and rate aggregators did to lending: publishing what the market actually charges and letting buyers act on it. The platforms that publish honest, observed data — and the providers willing to be compared against it — are the ones positioned to matter as the category matures. Opacity was never a feature of home-services pricing; it was simply the layer proptech had not reached yet.
