Who is going to pay for Uber Eats?

Table of Contents

KEY TERMS:

attention economy, two-sided platform economics, Uber Eats merchant acquisition proposition, Uber commission/pricing, Uber promotional mechanisms, Uber Direct, multi-homing, AI Overview sourcing


About Bohdan Lytvyn

MBA · 17 years SEO & Growth · Former Alibaba Senior SEO Manager

Bohdan Lytvyn

"WASTELESS GROWTH" BOOK AUTHOR



International experience across B2B marketplaces, SaaS, eCommerce and digital-first businesses in European and international markets.


In the attention economics, client performs a part of the Go-To-Market job on behalf of the Organization in either of two ways:

  • Benevolently — as a result of concession on the part of Organization inside the symbolic power negotiation — usually when Organization is fragile and must make concession (read further) or
  • Under coercion — as a result of externalization or transfer of cost onto a client, who is in the weaker position.


Here, a reference to the economics of attention explains where belongs the client’s effort — in attention to the products through performing search, click, reading or watching, sharing, engaging, etc. Each of these states is accompanied by creation of Waste:


  • Very often, concession to clients cause a change of the raison d'être of the product 
  • Externalization of costs to clients lead to depletion of the customer base and, as a result, appearance of substitute products and a withdrawal of product into other (adjacent) markets.


This is an illustration of the key ideas of Wasteless Growth mechanics and Uber Eats is a live example thereof.


Dynamics of costs externalization and resulting changes in client behaviour


1. The two ways platform implies cost savings 


Uber Eats is a food delivery platform that heavily invests in advertisement and branding to attract clients from both ways (a reference to the two way platform): vendors or restaurants and purchasers or meal purchasers. The model of two ways platform makes the cost of client acquisition to platform cheaper than that available to restaurants (source).


2. B2C to B2B transformation is the main lever for value creation


Arguably, the most powerful value creation mechanism that Uber Eats offers to its associate vendors is transformation of B2C transactions to B2B — instead of servicing hundreds of meal purchasers, restaurant deals with Uber Eats alone. This leads to number of optimizations implied in this very transformation mechanics:

  • Fixed costs to hire an Acquisition team are transformed into Variable costs per purchase that are paid to Uber Eats.
  • Pure cost saving on administration and dispatching of orders, etc — money and stuff hours savings.


On the face of it, Uber Eats highlights one key raison d'être of its product — the Cost of Customer acquisition that it offers to associate vendors is lower than that available to independent ones.


3. Externalization of cost to adherents happens when the perceived value is the highest


This is when Uber Eats silently externalizes their GTM cost to vendors by making them place Uber Eat friendly signs on the shopping windows, etc, which further lowers their cost of client acquisition.


“Uber Eats extends its brand presence into merchants' physical premises through Uber Eats tapes, stickers, light boards and other merchant branding materials.” (source)


But, there emerges the main battle ground — customer retention and repeated orders. It’s in the light of repeated orders and the cost thereof that Uber Eats value ( or raison d'être) is tested further. 


4. Owned traffic arguments comes in negotiations when objections rise


On the part of the platform this requires new arguments in the power negotiations, including — owned traffic or customer base. Operating customer data and employing optimization logics over the system of behavioural biases of vendors, including time, information and psychology biases, Uber Eats creates an illusion of owning its own customer base, which is another argument to pay them commission per each order.

For example, a recent research in the Journal of Retailing specifically identifies reduced access to customer data and reduced control over customer relationships as downsides restaurants can experience when working with food-delivery platforms. (source)

Illusion lies in the fact that the whole “customer base” is premised on the Discounter model, which is the rule of the game that’s enforced on the vendors.


5. A flexible discounter model is something that is disguised as owned traffic


What is the difference between a restaurant and a Dark kitchen? It is an existence of the brand and a will to take its own economic decisions. In an extreme, under the mask of their own traffic a platform may accumulate a segment of highly price-sensitive customers that take part in the dynamics of the “optimization spiral” when clients optimize their own consumption preferences in response to a platform’s bias towards owning its traffic, something that a platform tends to use as a bargaining chip against new adherents. In other words, in return for a pledge of loyalty shoppers require discounts and bonuses that buy them meals cheaper than otherwise. This is what a platform like Uber Eats bears onto vendors as its own bargaining instrument.

For example, the interesting evidence thereto is that Uber has introduced an Offer Redemption Fee, meaning restaurants can now incur a fee when an offer drives an order. It demonstrates that customer acquisition through discounting is not simply a free benefit generated by the platform. (source)


6. A discounter model ghosts the restaurants


The optimization spiral tells one thing: someone is superfluous amongst the platform’s participants. Restaurants must choose to either stick to the constant role of executors of the algorithms' will, that is to say, become a commodity from the platform’s perspective or go flickering, i.e. to alternate between being present and absent on the platform, depending on the availability and participation effectiveness. Effectively, the logics of platform’s algorithms make a restaurant superfluous where it does not obey to the optimization pattern that’s ongoing on the platform, because there’s always some other substitute that obeys and, thus, enables execution platform’s function.   

 

7. A “flickering absenteeism” tends to be a preferred strategy for vendors


Restaurants frequently multi-home across food-delivery platforms (source). From a Wasteless Growth perspective, this can be interpreted as a form of ‘"flickering absenteeism"…

This is a part of oncoming optimization by restaurants that relates the structural constraints imposed by a platform. Yet, this is fundamentally disadvantageous for the platform. Their preferred strategy is price optimization or optimization for the best buying power for a customer’s euro, which is only attainable when every restaurant is on and the competition between them is ongoing.


8. Uber Eats fights flickering mode by building walls and shifting to more reliable clients


In response to disengagement trend a platform tends to:


  • Build internal limitations on operation in a flickering mode
  • Search for other markets where participants may not disengage that easily.


Internal limitations or walls for vendors may include flat subscription fees and / or different levels of commission, depending on the number of orders through the platform.

For example, Uber's France help centre currently documents different marketplace packages, including 20%, 25% and 30% delivery-related marketplace fees, depending on the package. (source)

Shift to other markets is, for example, when Uber Eats opens white label delivery called “Uber Direct”.


9. Chasing new clients duplicates the value and makes Uber Eats lose its appeal


Yet, shift to other markets entails a significant decay of product value that Uber Eats brings (raison d'être for clients). Simply saying, the platform must prove once again why Uber Eats, which becomes harder in the new markets. For example, the core value creation lever — B2C to B2B transformation and the resulting cost saving across non-material business processes — is simply not relevant when a company moves to delivery of packed food from city shops. There may appear other value propositions, like Fixed to Variable costs transformation, etc but they seem less powerful than the original one. So, retaining Uber Eats and Uber Direct in one company seems problematic, including as regards the duplication of Value Proposition often leading to schizophrenia on the part of the clients.


How effective is Uber Eats in Acquisition?


10. Why choose Uber Eats after all? 


The question turns into the ability to recruit new and retain existing clients in the core market as well as to win brand new clients in the new markets. It might be radically restated in a way most sensitive to Uber Eats: to what extent the company that sells effectiveness to others is effective by itself as regards acquisition?


11. Dilemma of vendors’ retention and its effects


The answer lies in analysis of the rate of depletion of the customer base in the core market (restaurants) and of the dynamics of vendors that adhere to multiple platforms at once. Here comes the dilemma: building walls to prevent adherents from work in the flickering mode drives more vendors to competitors, like Deliveroo and Just Eats, which in turn weakens the bargaining power of Uber Eats as a platform. Leaving things “as is” leads to vendors trying to drive the customer off the platform through their own retention, which results in even more flickering absenteeism and fuels the alternative delivery markets, like white label delivery.


12. Acquisition strategy of Uber Eats in search engines


Uber Eats is squatting the Search Engine results pages produced against queries like “restaurant brand name + geo”. This actually creates an alternative map of town’s restaurants that are featured on the Uber Eats delivery platform. In fact, this is a Search spam. It is obvious that a restaurant's profile on Uber Eats is not a proper answer to the brand-related search query. From the perspective of Wasteless Growth, since vendors did not expressly consent to use of their names as a traffic magnet for a platform — it is hijacking a restaurant's online identity under the guise of participation on the platform. 


Larger restaurants can protect their online identity while smaller can’t. As a result, adherent vendors are exposed to double risk: 

  1. Risk of transfer of Uber Eats bad reputation to the restaurants, including the review sites like Trustpilot and
  2. Risk of formation of a bad reputation on Uber Eats via its internal review system.


This puts the restaurant in the position of a slave to two masters, at its own expense.

Example of a Search Engine's results page against the search query featuring a restaurant brand with Top spots in squatted by Uber Eats and other platforms

13. AI overviews and the jumble of search spam


AI Overviews seem to help sort through the jumble of search spam coming from Uber Eats and other similar sites. Likewise, if a restaurant at least has a Facebook or other social accounts (better — own site or Google Map, Google My Business account), its content is served in AI Overviews, which works as a shield to separate restaurant reputation from that of a delivery platform.

There is some very recent evidence that restaurant AI visibility correlates with having a Facebook/Instagram presence, yet this is from a third-party 2026 study of 10,000 US restaurants, not France. (source)


The Sources Google's AI Uses to Pick Restaurants

In general, this gives a direction of AI Overviews optimization strategy for restaurants, whose aim, in the first stage, might be detoxification from Uber Eats reputation.

Example of AI overview result of a restaurant Le Tacos showing that it's sourced from Uber Eats

14. Competitors like Deliveroo may earn clients for less


Other similar platforms like Deliveroo seem to originally use the strategy of the pursuit of the leader. They “monkeyed” Ubers Eats moves with better efficiency and acquired adherents for less — as the business model became known for them and Uber Eats negative reputation accrued (right now, it’s 2.1 of 5 in Trustpilot France), platform’s adherents would start looking for alternatives. Now, it’s not even hard to imagine the dark kitchen that would integrate simultaneously with all the delivery platforms through cashdesk app and practice damping to earn more loyal customers.


The revival of the owned channels


15. ERP and POS providers help revive the owned traffic


ERP and cashdesk software providers — the gatekeepers of the restaurant's digital ecosystem — become the agents of the new great transition. They offer online store vitrine with back-end integration of many white label delivery services. The clients data stay with restaurants and the costs of creation and maintenance of the shopping window are affordable, which was not the case before. 

For example, there's an academic support for the broader tension between platform-mediated and direct restaurant channels. (source)


Yet, the key question of acquisition of new clients is still open. However, the question is now framed differently — a restaurant has an affordable option for client retention and delivery dispatch. Therefore, the major problem is clients' loyalty now. 


16. Repeat order is the battleground


So, we have the following picture: Uber Eats and other platforms are used as (for the moment) a channel of acquisition of new customers even if the flow rate from delivery customers to walk-in customers is low and the commission per order is high. The main stake is the repeat orders through the site of the restaurant (activation and retention). It means owning the customer. The most desired sequence is owned acquisition to activation to retention.

Uber's own documentation gives a useful empirical basis to the importance of repeat orders: it distinguishes new versus existing customers on the Uber Eats platform. (source)


17. The derivative of the “absenteeism” 


Let’s get back to the optimization spiral in the context of the revival of the owned channels. We, possibly, witness a derivative of the absenteeism in the triangle of platform - vendor - purchaser (customer) as discussed before. Here, it’s the platform itself that becomes superfluous. As soon as the customer loyalty is earned, and the flywheel of white label delivery is moving, the treadmill of customer acquisition through the platform might be ditched for good. The important part is to secure referrals and proper retention. Importantly, I am discussing restaurants in France, which often implies small family owned businesses that have structural growth constraints, including taxation, availability of labour and space, etc. So, this logic may create an incentive for Uber Eats to place greater emphasis on large chains like McDonalds that reported to have 1,630 restaurants in France in 2025.


18. From superfluous vendor to a superfluous platform


Apparently, Uber Eats may sustain absenteeism or flickering mode on the part of the restaurant in principle, yet, it can’t sustain when it’s the platform that is forced to become absent. 


What is the replacement for absent adherents? Food delivery, including ready meals, from downtown shops, because we deal with last-mile delivery. Another option is a combination of platform and white label modes of work. Most probably, the story of such “combination” on the site of Uber Eats Merchants is a marketing language only — it is a shift to a totally different market with the theoretical possibility of operating in two markets simultaneously for a small proportion of clients.


What does this new trend mean for Uber Eats strategy in search? 



19. An escape masquerading as a strategy


Uber Eats tends to demonstrate a shift to the new market of white label delivery as a strategy. It does not sustain any critics. The overlap of clients of the platform and those of white label delivery is simply a coincidence, not a consequence or a result of a strategy. It is so obvious that it does not require proof. Yet, one proof merits attention from the perspective of Wasteless Growth methodology — it is a concession to a client to secure a GTM motion.  


In this new market Uber Eats is not a power dealer, so they must make concessions in the logics of the economy of attention. To say, in the market of last mile white label delivery, Uber Eats does not have strong cards: neither value creation mechanisms that fundamentally transforms the client's balance sheet, not even its own traffic. Here, the platform is just one of many and their Value Proposition is, in effect, a commodity. Ironically, what Uber Eats did to vendors forcing them to either “commoditise or ghost”, now is happening to them. 


20. Courier availability as a main asset 


As a result, the main stake and main asset is the number and availability of associate couriers. Yet, this is a bad stake. In effect, it looks like a market share, but it isn’t. As a result, competitors attack on different levels. For example, Uber Eats would lose to a specialist courier provider that employs couriers in staff, while Uber Eats only cooperates with individual entrepreneurs, or to super local platforms of urban delivery that specialise in white label services.       


21. Uber Eats is pressed against the sea


Consequently, Uber Eats is pressed against the sea, where there’s a low competition. What does it mean for the market and what is the effect of it on search? My working hypothesis is as follows:


  1. Uber Eats is still in the transit along search engines ranking pages and this transit is soon to end.
  2. Gatekeepers of ERM and POS are bringing back restaurants to the game of eCommerce and owned channels.
  3. Specialist white label delivery providers would win in search, drawing on the clients’ interest and support.
  4. In the near future restaurants become well equipped to fight for the new customer in search, based on the AI Overviews and agentic search optimization.
  5. Uber Eats is sidelined to 2 categories or markets: courier delivery from small downtown shops and from restaurants in the middle-size towns with low or no competition.


In this logic we get an answer to the inaugural question “Who is going to pay for Uber Eats”? These are dwellers of mid-size towns looking to order a meal from McDonalds or evening sandwich from the chain shop around the corner.   

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