The asset-light aggregators are winning the discovery layer — and they should. But re-aggregating fragmented supply and reaching it directly are different businesses, and nowhere does the gap bite harder than urgent insurance placements.
What's actually happening in midterm housing — Part 3 of 4
The story of Part 2 ended on a paradox. The corporate-housing industry fragmented into thousands of operators and landlords, and then a stack of intermediaries grew up to reassemble that supply for professional buyers. The layer winning fastest right now is the one that owns the least.
3Sixty, the platform run by Reside Worldwide, is the clearest example. It describes itself as a curated marketplace and technology platform aggregating a partner network of 500+ corporate-housing and serviced-apartment firms — millions of accommodations across 60+ countries, sold to Fortune 500s, relocation management companies, and travel buyers (3sixty.tech; Serviced Apartment News). It owns almost no real estate. Suppliers create their own listings with their own pricing and tax rules; buyers run a search; a bid feature lets suppliers submit competing quotes per request; and checkout is processed through Stripe (Southern Code). In 2026 it added a Marketplace Intelligence Tool that benchmarks supplier quotes against roughly 60 days of local market rates and flags any quote 5% or more above the market average (Business Travel News). It markets 25–35% client cost savings (Serviced Apartment News).
That model wins because it matches the shape of the problem. When supply is scattered across hundreds of operators, the company that aggregates it — without tying up capital in apartments — can move faster and scale wider than any single operator. It re-aggregates the fragmented market into something a professional buyer can actually navigate. That is a real solution to a real problem, and it explains why capital is flowing toward the curation-and-sourcing layer rather than toward owning more units.
So the aggregators have solved discovery. What they haven't solved is what sits between the buyer and the person who holds the keys — and nowhere does that gap bite harder than in insurance housing.
Insurance housing is the part of this market where the clock is loudest.
When a family's home becomes unlivable after a fire or a flood, the insurance housing company — or, increasingly, the carrier's own in-house housing team — has to place that displaced policyholder into a furnished accommodation, often within days of the loss. There is no time to run a week-long sourcing cycle. And these placements skew toward single-family accommodations, because a displaced family needs a house, not a studio — which means the relevant supply is the most fragmented in the entire market: thousands of individual landlords and small operators, with no common place to see who's available right now.
Then there's the extension problem. Roughly 90% of insurance stays get extended at least once, because adjusters approve housing in increments and restoration timelines slip. A placement that starts as 30 days routinely becomes 60, then 90. Every extension restarts a manual back-and-forth: confirm the unit is still available, re-price it, get the adjuster's sign-off, update billing.
And every dollar is accountable. The cost of that placement flows back to a claim. Someone is answerable for it. There is no room for an inflated rate that nobody can explain.
Put those three traits together — urgent, fragmented, cost-accountable — and you get the use case where real-time availability matters most and where a marked-up sourcing layer hurts most. It's also, today, the use case still most likely to run on phone calls, emails, and PDF attachments, exactly as we described in Part 1. The legacy companies in this chain largely haven't adopted real-time inventory technology, so the request cascades down through layer after layer until it finally reaches the apartment complex or the landlord that actually holds the unit.
Here's the part the winning model doesn't fix. Each layer between the buyer and the inventory owner earns its keep — and prices in its own margin.
A figure cited by an industry leader makes the point concretely: a unit the inventory owner offers at around $140 a night can reach the end buyer at around $240 a night — roughly a 71% increase — because of the two or three layers sitting between demand and supply. (This is a figure cited in an industry conversation in 2026 to illustrate how markup layers stack — not a published statistic or a guaranteed savings claim.)
To see where that increase comes from, it helps to walk the chain. The breakdown below is illustrative — not a quoted rate card, and not how any specific company prices — but it shows the mechanism the legacy structure creates:
Illustratively — not a quoted rate card — here is how layering can turn ~$140 into ~$240:
- The inventory owner — the operator or landlord holding the apartment-complex relationship — offers the unit at its real rate. Call it $140/night.
- A sourcing or RFQ layer that found and quoted the unit adds its margin on top.
- An aggregator or managed-service layer that packaged it for the buyer adds another.
- By the time the request has passed through the layers between demand and supply, the buyer is quoted something closer to $240/night for the identical unit.
(Illustrative allocation only. We are not asserting any layer's actual take. The point is structural: each intermediary prices in its own margin, and the buyer pays the sum.)
This is the catch the asset-light model carries. Benchmarking tools help — flagging a quote that runs more than 5% above the local market average is genuinely useful (Business Travel News) — but they measure the marked-up market against itself. They don't remove the layers; they police them. For the identical unit, a buyer sourcing through marked-up intermediaries still pays the inventory owner's rate plus every margin stacked on top of it.
Whether a given platform earns through a markup baked into the rate, a buyer or supplier fee, or a software license isn't something most of these companies disclose publicly, and we won't claim a specific mechanic for any of them. What is documented is the architecture: a platform that collects payment and then pays suppliers — the Stripe-marketplace pattern 3Sixty uses (Southern Code) — is structurally positioned to capture a spread between what the buyer pays and what the supplier receives. The industry norm for corporate-housing aggregators and relocation management companies is a spread or a supplier commission layered on pass-through cost (UrbanBound). The economics live in the gap between the two sides of the transaction.
It's worth being precise about how a platform like 3Sixty actually sits in an insurance or relocation chain, because the configurations vary and the monetization isn't publicly documented.
3Sixty is named as one of the bid-board platforms that relocation management companies use to source inventory, sitting between the RMC's demand and the supplier's inventory (Landing). In a scenario where an RMC or insurance housing company is placing through a regional supplier, a platform like 3Sixty most plausibly acts as the sourcing-and-bid layer the buyer uses to solicit the regional supplier's quote and transact — the marketplace the supplier bids into — though the exact configuration varies and isn't publicly documented. It can just as easily be bypassed when the buyer goes direct to the supplier. And whether the platform or the regional supplier is the contracting and paying party in any given deal isn't something we can assert from public sources.
The reliable through-line is the one from Part 2: the keys are still held by thousands of operators and landlords, and the layers sit on top, assembling and reselling that supply. Each layer solved a real problem. Each also added distance — and cost — between the buyer and the person who holds the unit.
Step back and the pattern is clear. The aggregators are winning because they solved discovery for a fragmented market. But they layered that solution on top of the existing chain rather than collapsing it. For most corporate travel that's a fine trade — a few dollars of margin on a planned, non-urgent booking is invisible.
Insurance housing is where the trade stops being invisible. The placement is urgent, so the days a manual sourcing cycle burns are days a displaced family spends in a hotel. The supply is single-family and fragmented, so the buyer genuinely needs a real-time view of who's available — not a directory to email. And the cost is accountable to a claim, so a stack of margins between the quote and the unit is a real, recurring, explain-it-to-the-adjuster problem — multiplied by the roughly 90% of stays that extend and restart the whole cycle.
That's the combination that makes a real-time marketplace win where a bid board doesn't. When the supplier who actually holds the product is given better technology — real-time availability, instant booking, billing built for how claims actually pay — that supplier can offer the unit directly to the buyer and collapse the layers in between. Not "the same inventory, cheaper through a better deal." The same inventory that other platforms resell with a markup — without the markup — because the buyer reaches the inventory owner's own rate directly, with a single flat booking fee instead of a stack of margins.
That's the structural difference, and it's worth stating plainly: connecting the buyer directly to the person who holds the keys is a mechanism for lower total cost on the identical unit, not a slogan. It's the seat no incumbent has taken in insurance housing — the most fragmented, most urgent, most cost-accountable corner of a market that's grown 136% in six years (Furnished Finder + AirDNA, January 2026) while its rails stayed the same.
That's what Part 4 is about.
Next → Part 4: Why Radius — direct to the inventory owner
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