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Own channel vs apps: what changes in EBITDA when you stop renting your own customer

Diego F. Parra By Diego F. Parra · Updated 2026-08-12· Dark Kitchens & Foodtech
Own channel vs apps: what changes in EBITDA when you stop renting your own customer — Masterestaurant
Quick verdict

Verdict: own channel vs apps is not a fight over the same money, it is a fight over the CUSTOMER, and there the own channel wins every time. The right call in 2026 is not to switch aggregators off —in concentrated markets they carry most of the volume, with iFood holding 87% of Brazilian e-food bookings according to Statista (2024) and Uber Eats at 26,1% of the U.S. market according to Earnest Analytics (2024)— but to reclassify them: the app is a paid ACQUISITION channel, its commission booked as variable marketing cost, while the own channel is the RETENTION channel, where customer data, the full contribution margin and the asset value actually live. An operator in the 500 thousand to 1 million dollar band who moves 30 points of delivery volume from the aggregator to direct ordering recovers those commission points almost intact on the contribution line, because the cost of producing the order was already paid. The board question is not «should we leave the app?». It is «how much of the delivered ticket are we willing to keep paying for a customer we can never contact again?»

📄 Executive BriefStrategic brief · CEOs, boards & investors· 19 min read· 2026-08-12Intellectual Property of Masterestaurant® — Exclusive for Sector Leaders

One owner in the under 500 thousand dollar band showed me a delivery P&L where platform commission sat buried inside «other operating expenses». That is where the trouble starts: what the decision architecture cannot see never gets managed, and a commission treated as an administrative line never reaches the pricing committee or the menu engineering session.

Market context no longer supports the old line that apps are a necessary evil. Concentration is real and uneven by country —Glovo around 31% and Just Eat near 26% of the Spanish market according to Ken Research (2025), Grab at 53,9% of Southeast Asian food delivery according to Momentum Works (2024)— and that concentration sets pricing power over commission in each city. Meanwhile the infrastructure for running a direct channel —ordering engine, payment gateway, WhatsApp Business, a Google Business Profile with an order button, third-party couriers— has fallen in price until a single-unit operator can afford it.

This brief turns that tension into balance-sheet numbers: what each channel costs per order served, what asset each one builds, and in what sequence volume moves without losing revenue on the way. It is the written version of the session I take to boards and franchise committees.

Side-by-side comparison

Side-by-side comparison

Today: aggregator dependenceWith the Masterestaurant method: own channel leading
Share of delivery volume held by a single aggregatorTypical market-leader concentration: 87% of e-food bookings in Brazil (Statista, 2024)Declared exposure ceiling per platform: 45% of delivery volume, the rest split between direct ordering and a second aggregator
Effective commission on the delivered ticketMarketplace market range, booked today as an invisible fixed line inside other operating expensesCommission reclassified as variable acquisition cost, with a ceiling voted in the pricing committee and channel-differentiated menu pricing
Ownership of customer data (phone, frequency, ticket)0% usable: the buyer belongs to the platform, not to the restaurant100% of direct orders in an owned database, with consent and frequency segmentation
Target food cost per delivery menu itemDining-room menu mirrored with no channel adjustment; packaging never costed into the recipe card32% maximum with packaging inside the recipe card, and a delivery menu trimmed to items that travel
Internal competition inside the same kitchenVirtual brand launched on the same line without measuring ticket times; independents already drive 61,7% of cloud kitchen revenue (Grand View Research, 2025)Virtual brand only where peak-hour slack is measured, with its own contribution margin and its own break-even
Local visibility outside the appGoogle Business Profile with no order button, no dish photography and unanswered reviewsComplete listing linked to direct ordering, review replies under 48 hours and geotargeted ads matched to the real delivery radius
Format scalability without constructionGrowth means opening a location; Europe already holds 18,79% of the global dark kitchen market (Global Growth Insights, 2024) and it is moving without youSecond market tested from a host kitchen or dark kitchen before committing capital to build-out

1. Which channel leaves more money per order served: your own or the aggregator?

Your own channel leaves more money per order served, always, because the aggregator takes its cut off gross sales while the direct channel only pays the payment gateway and the courier.

Run it with cash numbers: on a 20-dollar ticket, with food cost at 30% and kitchen labor at 18%, the direct order leaves roughly 8.20 dollars after gateway and outsourced delivery; that same order through an app, with platform commission at the high end, drops to 3 or 4 dollars. That gap is no local anomaly: it is arithmetic that repeats in every market with heavy concentration, and concentrated markets are the rule — iFood holds 87% of e-food bookings in Brazil according to Statista (2024), and Grab holds 53.9% of Southeast Asian food delivery according to Momentum Works (2024). Below half a million in annual revenue, there is only one call to make: WhatsApp Business plus a Google Business Profile with an order button, and not a single dollar spent on custom development.

2. Under 500 thousand dollars a year: your channel starts on WhatsApp, not on a custom app

An operator in this band billing 400 thousand a year with 35% through delivery hands roughly 140 thousand gross dollars to the aggregators; at mid-band commission that means between 25 thousand and 40 thousand dollars a year, a figure usually buried inside «other operating expenses» in the P&L. The decision threshold here stays simple: until the direct channel clears 200 orders a month, neither a paid ordering engine nor an in-house fleet is justified. The owner in this band does not fight the app, uses it as a storefront and works repeat purchase through direct messaging, which is the only asset left standing when the platform rewrites its rules. In the 500 thousand to one million band, a direct ordering engine pays for itself and delivery menu engineering stops being optional. The rule I take into board meetings: once the direct channel clears 300 monthly orders, a fixed-subscription ordering platform costs less than variable commission from month one.

3. From 500 thousand to 1 million: pay for the ordering engine and cut the delivery menu

And the second move carries as much weight as the first, because most operators publish the dining-room menu on the app, with dishes that fall apart across twenty minutes of transit, then blame the platform for the one-star review. Cut down to the six or eight dishes that travel, put packaging into the spec sheet — between 4% and 7% of selling price — and recalculate food cost with that cost inside. Independent kitchens hold 61.7% of cloud kitchen revenue according to Grand View Research (2025): this band is the heart of the market, not the exception. Past a million a year, stop thinking about switching the app off and start thinking about the MIX. The operating target is to bring the direct channel to 30% of digital orders within twelve months and hold there, because past that point you carry enough volume to renegotiate commission with the platform without bluffing.

4. Above 1 million: split the volume and negotiate commission with your own data

An operator billing 1.4 million with 45% digital moves some 630 thousand dollars through channels; shifting 30% of that to the direct channel recovers between 55 thousand and 90 thousand dollars a year now lost to commission. In Spain, where Glovo sits near 31% and Just Eat near 26% of the market according to Ken Research (2025), a split between two players gives real negotiating room; in Brazil, with iFood at 87% according to Statista (2024), pricing power belongs to the platform and the direct channel works as insurance rather than as leverage. Above five million a different profile shows up — the celebrity-chef restaurant or the large-format themed venue — and it usually errs through excess confidence in its own brand. That profile sells reservations and dining-room experience, so it treats delivery as incremental revenue and accepts commissions it would never sign into a lease.

5. Above 5 million: the high-end profile buys traffic, not relationships

My reading is that the accounting error gets worse there: the operator compares commission against a 22% dining-room margin and concludes delivery «is not worth it», when what is not worth it is delivery WITHOUT a proprietary database. At 5 million in revenue and barely 12% digital, we are talking about 600 thousand dollars flowing through the app and some twenty thousand yearly contacts that never reach the CRM. The threshold for this band is one dedicated person on direct channel and CRM, plus a repeat-purchase campaign budgeted against the commission no longer paid. In a group or chain above ten million, the direct channel stops being a marketing project and becomes infrastructure with an owner, a budget and a monthly committee. Figures change scale here: ten million at 40% digital means four million through channels, and every percentage point migrated to the direct channel is worth between 3,500 and 6,000 dollars a year in avoided commission, so twenty points of migration pay for a full team.

6. Groups and chains above 10 million: the direct channel is infrastructure, not a project

The useful comparison is not aggregator versus own website, it is customer acquisition cost in each one; and as a reference for ecosystem scale, iFood reports over 380,000 partner establishments across more than 1,500 Brazilian cities (2024): you are one row in that table, your brand name printed small. Diego F. Parra and the Masterestaurant team build that architecture by revenue band, pulling commission out of «other expenses» and giving it its own P&L line. Switching the aggregators off overnight costs between 25% and 40% of digital volume in the first quarter, and the second quarter does not bring it back. The scenario deserves to be followed all the way through, since almost nobody does it: the drop in orders drags purchasing down, the supplier pulls the volume discount, food cost climbs two or three points, and with the kitchen at half load labor per order shoots up.

7. What happens if a group switches the aggregators off overnight?

By month four the owner reopens the app on worse terms, without ranking and without recent reviews. The correct sequence runs the other way:

first build a proprietary base while app volume pays for the traffic, then migrate through incentive — a discount equal to half the commission, priority preparation, or free shipping on the second order — and only at the end trim exposure. Online meal delivery in Latin America will pass 39 billion dollars by 2027 according to Statista (2024); that market gets contested, never abandoned. Pull aggregator commission out of «other operating expenses» and open its own P&L line before you close the month: that move alone changes decisions. What stays invisible in the decision architecture never gets managed, and a commission treated as an administrative expense never reaches the pricing committee or the menu engineering session, so the operator prices delivery like the dining room and gives away margin without noticing.

8. Commission leaves «other expenses» and enters the pricing committee this month

With the line visible, the conversation shifts by itself: differentiated pricing per channel appears, the dish that sells heavily through the app and leaves 1.80 dollars appears, and the question of what a contact is worth appears. An honest comparison between channels is not about percentages, it is about accounting nature: on the app you pay a recurring EXPENSE for every order, while on your own channel you build an ASSET that can be used again without paying twice. The difference is not the commission, it is WHO owns the relationship. An aggregator order and a direct order leave the same kitchen, with the same food cost and the same labour; the only thing that changes is that one leaves a reusable trace and the other leaves none. Comparing channels by commission percentage alone is therefore an accounting mistake: you are weighing an expense against an asset. The second break point is the menu.

9. Where delivery unit economics actually breaks

Plenty of operators publish the dining-room menu inside the app, with dishes that arrive cold or fall apart after twenty minutes in a bag, and then blame the platform for the one-star review. Delivery menu engineering is a separate exercise: trim to items that travel, put packaging inside the recipe card, recalculate food cost with that packaging included and keep it under 32%. The third is territory risk. Concentrating 87% of volume in one platform, as happens in markets where a single player dominates —Statista (2024) reports that share for iFood in Brazil—, means a unilateral change in commission, ranking algorithm or promotional policy moves your EBITDA without your vote. Corporate governance has a name for that: single-counterparty exposure. And there is a paradox worth resolving before deciding: the own channel earns more per order and still, almost never, should the apps be switched off. The aggregator is where the customer who has not met you yet still lives, and the AI recommendation shortlists now mediating «food near me» searches feed on public signals —listings, reviews, availability— that platforms amplify.

10. Where delivery unit economics actually breaks — in practice

The answer is not picking one channel; it is setting an exposure ceiling per platform and using aggregator commission to buy customers you afterwards move into your own base.

Point by point

Decision scorecard: six criteria that carry weight at board level

Cost per order served
A · Today: aggregator dependencePlatform commission on the delivered ticket, booked as an undifferentiated operating expense
B · MasterestaurantGateway and third-party courier cost, with the saved commission returned to contribution margin
Verdict: The own channel wins per order, provided volume justifies the infrastructure; below a certain daily order floor, gateway fixed costs eat the advantage.
Speed of acquiring new customers
A · Today: aggregator dependenceImmediate: demand already sits inside the app, with 26,1% of the U.S. market on Uber Eats according to Earnest Analytics (2024)
B · MasterestaurantSlow at first; it depends on the local listing, reviews and geotargeted spend matched to the real delivery radius
Verdict: The aggregator wins. That is why you do not switch it off: it is the acquisition channel, and its commission is the price of that new customer.
Data ownership and asset value
A · Today: aggregator dependenceZero: the purchase history belongs to the platform and does not transfer when the business is sold
B · MasterestaurantTotal: an owned buyer base with frequency and ticket, auditable in operational due diligence
Verdict: The own channel wins outright. It is the only line in this table that changes what the business is worth.
Territory risk and regulatory exposure
A · Today: aggregator dependenceHigh: unilateral changes to commission, ranking or promotional policy move EBITDA without the operator voting
B · MasterestaurantMedium: risk shifts toward own operations, couriers and gateway compliance
Verdict: The own channel wins on risk mitigation, though it takes on new risks that must be governed by process rather than goodwill.
Scalability into new formats
A · Today: aggregator dependenceLets you test a virtual brand or a virtual restaurant within weeks, with no build-out and no lease
B · MasterestaurantScales better once the format is validated, because the owned customer travels with the brand to the second market
Verdict: A useful draw: test in the app, consolidate in the own channel. Reversing that order is the most expensive way to learn.
Effect on menu engineering
A · Today: aggregator dependencePushes you to compete on price and promotion inside the platform ranking
B · MasterestaurantAllows channel-differentiated pricing and a menu trimmed to items that travel well
Verdict: The own channel wins. A delivery menu above 32% food cost with packaging included never gets fixed by more volume.
Side-by-side comparison

What aggregators genuinely give youPaid acquisition

  • Demand that already exists: in Brazil, iFood reports more than 380.000 partner establishments across over 1.500 cities (iFood, 2024), and you will not build that buyer base alone.
  • Discovery for a new brand or for a ghost kitchen opening with no foot traffic and no history in the area.
  • Courier logistics solved without payroll or rider liability.
  • Cheap market testing: validating a virtual brand across three postal codes before committing capital.
  • Seasonal peaks absorbed without hiring, which matters for the under 500 thousand dollar operator who cannot carry a fleet.

What the own channel gives youMasterestaurant

  • The full contribution margin of the order, without the commission currently hidden inside other operating expenses.
  • Customer data: phone, frequency, average ticket and preferred items, the only delivery asset that appreciates over time.
  • Your own pricing: you decide whether the delivery menu carries a differentiated price, with no parity clause.
  • Cheap reactivation over WhatsApp of a buyer who already purchased, against the cost of buying that same person again inside the app.
  • Valuation: in operational due diligence, an owned base of repeat buyers weighs differently from a history that belongs to a platform.
Side-by-side comparison

Side-by-side comparison

Today: aggregator dependenceWith the Masterestaurant method: own channel leading
Share of delivery volume held by a single aggregatorTypical market-leader concentration: 87% of e-food bookings in Brazil (Statista, 2024)Declared exposure ceiling per platform: 45% of delivery volume, the rest split between direct ordering and a second aggregator
Effective commission on the delivered ticketMarketplace market range, booked today as an invisible fixed line inside other operating expensesCommission reclassified as variable acquisition cost, with a ceiling voted in the pricing committee and channel-differentiated menu pricing
Ownership of customer data (phone, frequency, ticket)0% usable: the buyer belongs to the platform, not to the restaurant100% of direct orders in an owned database, with consent and frequency segmentation
Target food cost per delivery menu itemDining-room menu mirrored with no channel adjustment; packaging never costed into the recipe card32% maximum with packaging inside the recipe card, and a delivery menu trimmed to items that travel
Internal competition inside the same kitchenVirtual brand launched on the same line without measuring ticket times; independents already drive 61,7% of cloud kitchen revenue (Grand View Research, 2025)Virtual brand only where peak-hour slack is measured, with its own contribution margin and its own break-even
Local visibility outside the appGoogle Business Profile with no order button, no dish photography and unanswered reviewsComplete listing linked to direct ordering, review replies under 48 hours and geotargeted ads matched to the real delivery radius
Format scalability without constructionGrowth means opening a location; Europe already holds 18,79% of the global dark kitchen market (Global Growth Insights, 2024) and it is moving without youSecond market tested from a host kitchen or dark kitchen before committing capital to build-out
The numbers that matter

The market dashboard behind this decision

87%
of Brazilian e-food bookings concentrated in iFood: single-counterparty exposure in one figure
26.1%
U.S. delivery share held by Uber Eats at the end of 2024, against 6,3% for Grubhub
61.7%
of cloud kitchen revenue driven by the independent segment in 2025
39bn USD
the Latin American meal delivery segment will exceed by 2027
1200kitchens
active dark kitchens in Mexico City in 2025, up 40% from 2023
31%
Glovo share in Spain, with Just Eat near 26%: two counterparties, not one
Visualization
The numbers, visualized
The numbers, visualized87% of Brazilian e-food bookings concentrated in iFood: single-c; 26.1% U.S. delivery share held by Uber Eats at the end of 2024, ag; 61.7% of cloud kitchen revenue driven by the independent segment i; 39bn USD the Latin American meal delivery segment will exceed by 2027; 1200kitchens active dark kitchens in Mexico City in 2025, up 40% from 202; 31% Glovo share in Spain, with Just Eat near 26%: twof Brazilian e-food bookings concentrated in iFood: single-counterparty exposure in one figure87%U.S. delivery share held by Uber Eats at the end of 2024, against 6,3% for Grubhub26.1%of cloud kitchen revenue driven by the independent segment in 202561.7%the Latin American meal delivery segment will exceed by 202739BN USDactive dark kitchens in Mexico City in 2025, up 40% from 20231200KITCHENSGlovo share in Spain, with Just Eat near 26%: two counterparties, not one31%
Sources: Statista 2024 · Earnest Analytics 2024 · Grand View Research 2025 · CANIRAC 2025 · Ken Research 2025Chart by masterestaurant.com
Real case

“We arrived with 78% of delivery sitting in one app and the commission buried inside other operating expenses, so the first move was pulling it onto its own P&L line and naming it: acquisition cost. We trimmed the delivery menu from 46 items to 19, moved packaging into the recipe cards, and channel food cost dropped from 38% to 31%. Then we put the direct order button on the Google listing, answered 214 backlogged reviews in six weeks and started dropping a WhatsApp repurchase coupon into every bag. Within four months direct orders went from 9% to 34% of delivery volume, and those 25 points we stopped paying in commission went straight to contribution margin, because the kitchen was already paid for. We did not switch the app off: we brought it down to 45% and use it for what it is good at, which is bringing in people who have not met us yet.”

— Prepared-food operation with delivery, 2 production points and one virtual brand, revenue band of 500 thousand to 1 million dollars a year, Spanish-speaking market
How to apply it in your restaurant

Roadmap: three phases, each with a deliverable, a deadline and a metric

Phase 1 · Exposure diagnosis and per-channel unit economics (weeks 1 to 3)
Deliverable: a delivery P&L with commission on its own line, channel food cost with packaging inside the recipe card, contribution margin per item per channel, plus the concentration map by platform. This is where most owners discover that the dining-room hero dish is the worst delivery item they sell. Success metric: 100% of delivery menu items with contribution margin calculated and none above 32% food cost including packaging; maximum platform concentration documented against the 45% target ceiling.
Phase 2 · Local digital engine and direct channel capture (weeks 4 to 10)
We build the direct ordering stack —order page, payment gateway, WhatsApp Business with catalogue— and switch on local discovery: a complete Google Business Profile with an order button, photography per dish, accurate hours and review replies under 48 hours, with geotargeted spend matched to the real delivery radius rather than the whole municipality. Every bag leaving through the app carries a direct repurchase mechanism. Success metric: direct orders above 25% of delivery volume and a local rating held at 4,5 stars or better by the end of week 10.
Phase 3 · Format scaling and channel governance (months 3 to 6)
With the direct channel carrying volume, we decide whether the line has enough slack for a virtual brand or whether a second market from a host kitchen makes more sense before capital goes into construction, knowing that independents already hold 61,7% of cloud kitchen revenue according to Grand View Research (2025). Channel governance goes in alongside: exposure ceiling per platform, quarterly review of effective commission and channel-differentiated pricing owned by the pricing committee. Success metric: no platform above 45% of volume, and the virtual brand reaching break-even before day 90.
Phase 4 · Verification in the register, not on a dashboard (month 6 onward)
The only evidence that counts shows up in the income statement. Compare half-year EBITDA against the diagnostic baseline, isolate the channel-migration effect from the pricing effect, and review repurchase rates from the owned base at 30, 60 and 90 days. If the owned base does not repurchase, commission was never the problem: the product was. Success metric: 60-day repurchase from the owned base above 22% and total effective delivery commission cut by at least a third against baseline.
✦ AI applied

And with AI?

Optimize channels, pricing and unit economics of your dark kitchen. Diego F. Parra is an expert in AI applied to restaurants.

Masterestaurant tools & method

The Masterestaurant tools that carry this decision

None of the three replaces judgement, but all three turn an argument about opinions into an argument about numbers, which is exactly what a board needs in order to vote.

Order matters: first the business model per channel, then the cash that funds the transition, and only at the end the format growth plan.

Diego F. Parra

Diego F. Parra — International consultant, expert in creating and scaling restaurants and in AI applied to restaurants, foodtech and HORECA. Methodology applied in 8.400+ restaurants across 43 countries · Expert in Artificial Intelligence applied to restaurants, hospitality and food businesses · 20+ years in restaurants, catering, large events and business growth · Author of 3 ISBN-registered books: «Triunfar o morir en el intento» (2013) and «De esclavo a dueño» (2023) · International keynote speaker for the HORECA sector.

FAQ

What an owner asks before moving the first point of volume

Should a restaurant leave the delivery apps in 2026?
No, except under unsustainable commission terms. Set an exposure ceiling instead —45% of delivery volume per platform is a sound rule— and reclassify commission as acquisition cost. Sector concentration is real: Statista (2024) reports 87% of Brazilian e-food bookings inside iFood. Switching the channel off before direct ordering works is simply giving volume away.

Should a restaurant leave the delivery apps in 2026?

No, except under unsustainable commission terms. Set an exposure ceiling instead —45% of delivery volume per platform is a sound rule— and reclassify commission as acquisition cost. Sector concentration is real: Statista (2024) reports 87% of Brazilian e-food bookings inside iFood. Switching the channel off before direct ordering works is simply giving volume away.

How long does a direct ordering channel take to pay for itself?
With the stack built during weeks 4 to 10 of the roadmap, the inflection point usually lands between month three and month five, because every migrated point of volume returns the full commission to contribution margin. The real cost is not technology, which is cheap now, but the discipline of putting a repurchase trigger into every order served.

How long does a direct ordering channel take to pay for itself?

With the stack built during weeks 4 to 10 of the roadmap, the inflection point usually lands between month three and month five, because every migrated point of volume returns the full commission to contribution margin. The real cost is not technology, which is cheap now, but the discipline of putting a repurchase trigger into every order served.

Is launching a virtual brand or a dark kitchen from scratch a better way to compete?
Only where the production line has measured peak-hour slack and the new brand carries its own contribution margin and break-even. Grand View Research (2025) puts independents at 61,7% of cloud kitchen revenue, so the format is proven; what fails is launching it on a kitchen already drowning at nine in the evening.

Is launching a virtual brand or a dark kitchen from scratch a better way to compete?

Only where the production line has measured peak-hour slack and the new brand carries its own contribution margin and break-even. Grand View Research (2025) puts independents at 61,7% of cloud kitchen revenue, so the format is proven; what fails is launching it on a kitchen already drowning at nine in the evening.

What role does Google Business Profile play against selling on a delivery aggregator?
The local listing is the one free discovery channel you control, and the one from which you can route an order into your own gateway. Complete listing, photography per dish, exact hours, a direct order button and review replies under 48 hours. That same signal set feeds the AI recommendation shortlists now mediating a large share of nearby-food searches.

What role does Google Business Profile play against selling on a delivery aggregator?

The local listing is the one free discovery channel you control, and the one from which you can route an order into your own gateway. Complete listing, photography per dish, exact hours, a direct order button and review replies under 48 hours. That same signal set feeds the AI recommendation shortlists now mediating a large share of nearby-food searches.

Data & sources

Sector data 2026 (official sources)

Verifiable industry benchmarks from official, non-commercial sources (government, industry associations, market research) - not competitors.

MetricBenchmark 2026Source
Proyección del mercado global de dark kitchens a 2033USD 171.300 millonesGlobal Growth Insights — Dark Kitchen Market 2033
CAGR del mercado global de dark kitchens 2025-203312,7%Global Growth Insights — Dark Kitchen Market
Cuota de Europa en el mercado global de dark kitchens 202418,79%Global Growth Insights — Dark Kitchen Market 2024
Segmento multimarca de dark kitchens en IndiaUSD 4.500 millonesGlobal Growth Insights — Dark Kitchen Market (India)
Segmento hogar de dark kitchens en IndiaUSD 12.000 millonesGlobal Growth Insights — Dark Kitchen Market (India)
Segmento hogar de dark kitchens en BrasilUSD 5.702 millonesGlobal Growth Insights — Dark Kitchen Market (Brasil)
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