The economics

~£5M to £14M annual value, modelled across UK furniture retail tiers.

Modelled across the enterprise tier (~£100M to ~£300M+ annual furniture revenue). Scales with retailer GMV. Weighted toward customer-acquisition efficiency over direct P&L margin, with a structural floor independent of incrementality. Every assumption is stress-tested.

Modelled annual value · scales with retailer GMV
~£5M
At ~£100M
annual furniture revenue
~£14M
At ~£300M+
tier 1 anchor partner
Same model, scaled across the enterprise tier. Weighted toward customer-acquisition efficiency over direct P&L margin. The structural floor of the CAC saving is independent of incrementality — full breakdown shared on partnership calls.

Want this modelled against your real numbers?

We'll run the model with your actual GMV, AOV, repeat rate and clearance volume — then walk you through it line-by-line. One spreadsheet your CFO can pressure-test.

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The CAC framing

Stops looking like a marketplace fee. Starts looking like a customer-acquisition channel.

Translate Repurch's unit economics into the metric retail marketing teams actually live by. Effective CAC for a qualified store-credit customer sits materially below typical UK furniture-retail paid-channel acquisition spend — typically 4–7× cheaper, depending on retailer category and channel mix. The partnership stops sitting in your cost line and starts sitting in your CAC budget.

Effective CAC · UK furniture
Repurch · the channel
Paid social
Meta / TikTok
£200–350
Paid search
Google / Bing
£280–450
Direct mail
Door drops
£300–500
Repurch Exchange
Store-credit customer, qualified
4–7×
cheaper
Indicative paid-channel CAC ranges · varies by retailer brand strength + competitive position.
Acquisition-channel economics. Not marketplace-fee economics.
The defensive floor

Even at half the modelled incrementality, the structural floor still scales with your GMV.

The acquisition-efficiency saving and the Clearance recovery (retailer keeps the large majority of net sale value) are structurally independent of cross-sell incrementality. At ~£100M revenue the floor stays around £3.5M; at ~£300M+ around £9.5M. Cross-sell is the upside lever, not the floor. Full incrementality sensitivity table and four-method measurement plan shared on request.

ESG & EPR positioning

An ESG narrative your sustainability team can finally measure. EPR-ready before the regulation lands.

UK Extended Producer Responsibility for furniture is on the regulatory horizon. Retailers with a credible take-back capability already in market won't be retrofitting under deadline — they'll already be running the operating model the rules will require.

  • Per-listing kg CO₂e diverted. Quantified at the listing level, aggregated into a quarterly board-ready ESG report.
  • EPR-ready compliance prep. When the regulation lands, you're already running the operating model the rules will require. No emergency retrofit.
  • B Corp / sustainability-rating ammunition. Hard numbers and audited evidence for whatever framework your CMO has signed up to.
  • ESG leadership window. Earn the sustainability narrative, the operational data, and the regulator credibility while disclosure is still voluntary — before mandatory reporting makes resale table stakes.
ESG · QUARTERLY REPORT · Q3 2026 CO₂e DIVERTED · YEAR TO DATE 3,820 t ↑ 28% vs prior quarter · 9,470 sofas diverted from landfill and incineration EPR readiness 100% B Corp · Use of Profits +14 pts CDP Climate disclosure A→ A+ Independent-auditor-ready methodology Quarterly report · DEFRA-aligned · Board-ready
Measurement methodology

We don't ask you to take incrementality on faith. We measure it. Quarterly.

The single assumption that drives the cross-sell line of the model is incrementality at 30%. The acquisition-efficiency saving and Clearance recovery are independent of it. We bake the measurement infrastructure in from partner onboarding — so you have audit-ready numbers to take to your Board by the time the partnership renewal comes around.

Randomised holdout

~10% of your customers form a control cohort that doesn't see Exchange during the measurement window. Comparing their 90-day new-furniture purchase rate to the 90% who do see it gives gold-standard causal incrementality. Configurable per partner; rotated each period so no customer is permanently excluded.

Pre/post difference-in-differences

Compare your customer cohorts before vs after Exchange launch, with industry retail-sales data as control. Confirms holdout findings; faster signal.

Survey at redemption

Two-question survey on credit-redemption confirmation: "Without the Exchange credit, when would you have bought?" Direct signal, cheap to run.

Time-to-next-purchase

Compare median days-to-next-new-furniture purchase for Exchange redeemers vs matched non-Exchange customers. Behaviour data, no survey bias.

Quarterly Board report

Triangulated incrementality estimate from all four methods. Delivered as a board-ready PDF + raw data export every quarter.

Audit-friendly

Independent-auditor methodology aligned with DEFRA + FCA-style frameworks. Numbers you can put in your annual report.

The argument, three ways

Same partnership. Three audiences. Three ways to tell the story.

For the Commercial team

The 30-second version

"This is not a marketplace partnership. It's a customer-acquisition engine. Each Exchange-credit customer brings you a £400+ qualified prospect with store credit ready to redeem. At industry-typical furniture-retail CACs, our service delivers customers at break-even on the credit gap with materially higher conversion intent than a cold-acquisition funnel. That conversion advantage compounds, on our modelled assumptions, to ~£5M annual value at £100M revenue — scaling to ~£14M at tier 1 anchor scale."
For the CMO / Strategy lead

The strategic version

"Three things this partnership puts on your roadmap: a sustainability narrative with hard carbon numbers, customer credit lock-in that prevents migration to competitor brands, and a regulatory-ready take-back capability for when EPR rules drop. Early movers earn all three before resale becomes table stakes."

Want this model run against your real GMV?

We'll build a tailored economic model from your category mix, average basket, repeat rate, and store footprint. Replace every assumption on this page with your real numbers.