ROAS trap in e-commerce: The first order as a loss-making venture – Why e-commerce shops are now rethinking their strategies
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Prefer Xpert.Digital on GoogleⓘPublished on: September 20, 2026 / Updated on: September 20, 2026 – Author: Konrad Wolfenstein

ROAS trap in e-commerce: The first order as a loss-making venture – Why e-commerce shops are rethinking their strategies now – Creative image on the topic, created with AI: Xpert.Digital
The end of cheap reach: How online shops will have to calculate in the future – Why expensive ads aren't the real problem
Advertising prices are exploding: How profitable e-commerce growth really works today
The new growth formula: Customer value beats advertising budget
The golden age of cheap traffic in e-commerce is definitively over. Anyone trying to profitably acquire new customers with their very first order is increasingly encountering a severe economic limit. Exploding click prices, the growing market power of large platforms, and a seemingly endless price war are pushing the margins of many retailers deep into the red. Is paid advertising therefore becoming obsolete?
Not at all. But expensive media buying no longer forgives strategic weaknesses. Where previously affordable reach could mask a mediocre product range, a weak conversion rate, or inadequate customer loyalty, today's advertising channel ruthlessly exposes when the underlying business model is unsustainable. Simply renting attention leads to a dangerous dependency – and often directly into a liquidity trap.
To succeed in this intensified battle for market share, a fundamental shift in perspective is needed: away from focusing solely on the return on ad spend (ROAS) of the first order, and towards a holistic system comprising a strong brand, intelligent customer loyalty, and high customer lifetime value. The following analysis demonstrates why reach alone is far from guaranteeing a profitable business and how e-commerce companies must now future-proof their growth strategies.
When the first purchase results in a loss: The new economics of e-commerce growth
Renting reach doesn't automatically build a profitable business
The exaggerated claim that one can only lose in paid e-commerce marketing today touches on a real economic pain point, but is too sweeping a general judgment. It is true that for many retailers, it has become significantly more difficult to profitably acquire a new customer with their first order. Rising advertising costs, intense competition, high discount expectations, growing platform power, and often weak differentiation are squeezing profit margins. However, it would be wrong to conclude that paid advertising no longer works at all. Paid media remains a powerful sales channel for numerous business models, provided that the product range, margin, repurchase rate, brand strength, data quality, and operational implementation are all aligned.
The real change lies deeper. Previously, a well-executed media buy could temporarily mask a shop's structural weaknesses. Affordable reach could forgive a mediocre conversion rate, interchangeable products, or low customer loyalty. Today, these shortcomings are exposed more quickly due to higher cost per contact. The advertising channel isn't necessarily broken; often, it simply reveals that the overall customer-centric approach isn't sustainable. A retailer who requires a disproportionate amount of advertising, discounts, and logistics for every additional euro in revenue doesn't have a scaling problem, but a business model problem.
The crucial question, therefore, is not whether paid advertising, SEO, or conversion optimization wins. What matters is how a company builds a system across all relevant channels that increases customer lifetime value, reduces dependence on individual platforms, and translates growth into sustainable free cash flow. The future doesn't belong to the retailer with the highest advertising budget, but to the provider who generates demand more efficiently, converts better, and monetizes for a longer period.
From growth boom to distribution struggle
German online retail is growing again, but not at the extraordinary pace of the pandemic. Depending on the definition used, German B2C online retail of goods reached approximately €83 billion gross or just over €92 billion net in 2025. These seemingly contradictory figures are primarily due to differing definitions, data collection methods, and market boundaries. However, both interpretations paint the same economic picture: the market is growing moderately again, but is not experiencing a widespread boom.
For individual retailers, this difference is crucial. In a rapidly expanding market, many companies can grow simultaneously without having to aggressively compete for market share. In a market growing by only a few percent, however, additional growth becomes a much more intense battle for market share. Those who want to increase their revenue by 15 or 20 percent must either enter new categories, internationalize, increase order frequency, or win over customers from competitors. This is precisely what intensifies the competition for attention.
Added to this is the dominance of marketplaces. More than half of German online sales are now processed via platforms. This is changing not only the competition for sales but also the competition for product searches. Retailers are simultaneously competing on Google, Meta, TikTok, Amazon, and other marketplaces for the same users ready to buy. Retail media is therefore growing particularly rapidly: Anyone wanting to be visible on a marketplace must increasingly invest in advertising budgets in addition to sales commissions. Thus, a sales margin is gradually becoming a combination of platform fees, advertising costs, logistics expenses, and price pressure.
International low-price providers are also increasing the pressure. They bring an enormous product range, high advertising intensity, data-driven product selection, and aggressive pricing to the market. A German medium-sized shop can rarely win this competition on price alone. It needs a different advantage: trust, advice, faster availability, service, quality, specialization, credible content, or a strong community. Without this advantage, advertising becomes an expensive attempt to make an interchangeable offering visible.
Why paid reach is becoming more expensive
Digital advertising is auctioned in real time. If the number of advertisers or their willingness to pay increases faster than the available high-quality inventory, prices rise. The European digital advertising market reached approximately €131 billion in 2025, growing by about 10.5 percent. Social advertising even grew by around 19 percent. These investments are a sign of economic relevance, but also of growing competition: ever-increasing budgets are vying for the same limited moments of attention.
Average values are only of limited use to individual retailers. Costs vary considerably depending on the country, season, industry, target group, ad format, and optimization goal. A fashion retailer during the Christmas season is competing in a different bidding process than a supplier of specialized tools in the spring. Nevertheless, many benchmarks are trending upwards. Google Shopping and Performance Max have recently recorded double-digit annual increases in click prices in European e-commerce. Meta has also seen significant rises in average cost per thousand impressions (CPM) across numerous e-commerce segments.
The higher prices have several causes. First, large retailers are professionalizing their media buying and using automated bidding strategies. Second, brand manufacturers are increasingly pushing into direct sales, thereby competing with their former retail partners. Third, well-capitalized international platforms are investing in the same search and social media auctions. Fourth, data privacy regulations, tracking restrictions, and fragmented user signals are making it more difficult to clearly identify high-quality target groups. Fifth, attention is shifting towards video formats, the production of which demands higher levels of creative skill.
Automation doesn't eliminate this scarcity; it merely distributes it more efficiently. When nearly all advertisers use the same machine learning systems, campaign types, and optimization goals, the algorithmic advantage diminishes. Then, fundamental differences prevail once again: better products, stronger ad creatives, higher conversion rates, more complete data, and greater willingness to pay per customer. The platform cannot transform a weak offering into a consistently strong business.
The initial order as a loss-making business
Whether a new customer is profitable on their first purchase cannot be determined by revenue or the Return on Ad Spend (ROAS) reported on the advertising platform. The decisive factor is the contribution margin after all variable costs. At a minimum, the cost of goods sold, payment processing fees, pick-and-pack costs, shipping allowances, expected returns, discounts, packaging, customer service, and acquisition costs must be deducted from the net revenue. Only the remaining amount covers fixed costs and generates profit.
A simple example illustrates the mechanics. If a shop generates €80 in net revenue per first order and, after deducting costs for goods sold, fulfillment, shipping, payment processing fees, returns, and discounts, has a contribution margin of €24 before marketing, then customer acquisition must cost no more than €24 to reach the break-even point with the first purchase. If the actual acquisition costs are €36, this results in an initial loss of €12. This loss can be economically viable if a sufficiently large proportion of the new customers later make repeat purchases with a positive contribution margin. However, it is risky if repeat purchases are merely assumed but not reliably measured.
The frequently cited return on ad spend obscures this connection. An advertising revenue of four euros for every euro spent sounds attractive. With a high gross margin, it can be profitable; however, with low product margins, free returns, and heavy discounts, it can still destroy money. Therefore, operational management shouldn't stop at revenue. More relevant are the contribution margin after marketing, the cost of acquiring new customers, the payback period, and the realized customer lifetime value.
An unprofitable first order becomes particularly problematic when cash flow is weak. The advertising platform receives its payment immediately, while repeat purchases might not occur for months. At the same time, the retailer has to pre-finance goods, process returns, pay staff, and maintain inventory. Even if a customer cohort becomes profitable in the long run, rapid growth can financially overwhelm the company in the short term. Growth then consumes liquidity instead of generating it.
Customer value instead of desired invoice
Shifting profitability to the second or third order is not proof of a flawed business model. For consumer goods, pet food, cosmetics, nutritional supplements, coffee, or certain fashion basics, such a model can be very attractive. The prerequisites are a high probability of repeat purchases, a sufficient margin, and a manageable timeframe for amortization. For durable goods with infrequent repurchase, the same logic is considerably riskier.
Customer lifetime value (CLV) is often overestimated in practice. Companies calculate it from historical averages and then treat it like a sure thing. In reality, future customer value is uncertain, time-dependent, and varies significantly between cohorts. Customers acquired through an aggressive discount campaign may have a considerably lower value than users who specifically searched for the brand. Combining both groups may result in the financing of expensive new customers with a repurchase assumption that doesn't actually apply to them.
A reliable analysis therefore follows customer cohorts. For each acquisition month and ideally for each channel, it measures how many buyers reorder after 30, 60, 90, 180, and 365 days, what net revenue they generate, and what contribution margin remains after returns and service. Equally important is the question of whether the repeat purchases occur without additional paid advertising. If a customer has to be acquired again via Google or Meta for each subsequent order, their economic value is lower than with direct, organic, or self-directed marketing.
The time value of money also plays a role. A euro of contribution margin in twelve months is worth less than a euro today because it has to be financed and can be lost. In an uncertain consumer environment, retailers should therefore use conservative scenarios. Instead of comparing the total theoretical customer lifetime value against today's acquisition costs, an amortization limit makes sense. Depending on liquidity, category, and risk profile, a company might, for example, require that customer acquisition be recouped within three, six, or nine months.
Why big brands are also fighting
It's surprising that even well-known e-commerce brands aren't always profitable on the first purchase. Large companies have access to data, experienced teams, purchasing power, and high brand recognition. However, this very recognition can make acquiring new customers more difficult. Those who have already won over the easily accessible segment of their target group must continually penetrate less relevant segments to achieve further growth. The marginal cost of acquiring the next new customer increases.
This phenomenon is similar to a depleted raw material deposit. Initially, the easily accessible, high-quality deposits are exploited. Later, each additional unit becomes more expensive. In marketing, this means that brand enthusiasts, people with an immediate need, and particularly relevant target groups have already been reached. Further buyers require more contact, stronger incentives, or higher discounts. Average advertising performance can decline, even if the marketing team isn't performing worse.
Large brands also have different goals than small, profitable niche providers. They want to defend market share, establish new categories, turn over inventory, and remain relevant in the long term. To achieve this, they sometimes accept lower initial order efficiency. Therefore, a statement about unprofitable new customer acquisition can describe a deliberate capital allocation and not necessarily operational failure.
Nevertheless, the signal this sends should be taken seriously. If even professional providers are observing increasing amortization periods, smaller retailers shouldn't assume that a few new advertising materials will solve the problem. They need stricter targets, better cohort analyses, and a clear upper limit for acquisition costs. Size doesn't protect against poor customer economics; it can only finance its consequences for a longer period.
Paid media is not dead
Paid advertising still offers advantages that organic channels cannot completely replace. It can be activated quickly, scales well, can be targeted to specific audiences and products, and is suitable for product launches, seasonal demand, or controlled experiments. Anyone offering a new product can't wait months for rankings. Paid media provides information within a short timeframe about which message, offer, and target audience are responding.
Furthermore, the advertising market itself demonstrates that companies continue to see economic benefits. Investments in paid search, social advertising, and retail media are growing. If these channels were generating losses across the board, sustained double-digit market growth would be difficult to explain. However, a growing overall budget does not necessarily mean that every single advertiser is operating profitably. Some of the demand comes from companies with higher margins, better repurchase rates, or strategic objectives. Others unknowingly accept insufficient returns.
Paid search remains particularly valuable when there is a concrete purchase intention. Someone searching for a specific product, spare part, or problem is closer to making a transaction than a user casually scrolling through a social media feed. Paid social media, on the other hand, can generate new demand and explain products, but is more dependent on creative quality and repeated exposure. Retail media reaches users directly at the digital sales shelf, but shifts additional power to the marketplace.
The right approach, therefore, is not to shut down paid advertising across the board. Instead, companies must differentiate between campaigns that actually generate additional demand and those that merely tap into existing brand or product demand. A campaign can look fantastic on the platform and still generate little incremental revenue if the buyer would have ordered even without the ad. Profitable channel management, therefore, requires more than just platform reports.
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The illusion of perfect attribution in e-commerce
The illusion of perfect attribution
Digital advertising suggests precision. Clicks, purchases, and revenue appear in dashboards down to the second. But this visible accuracy is not the same as causal truth. Multiple platforms often claim the same purchase for themselves. A customer sees a social media ad, later searches for the brand on Google, clicks on a search ad, and then opens an email before making the purchase. Depending on the attribution model, three channels will receive credit for the success.
Brand search campaigns, in particular, can embellish results. They often convert very well because users are already searching for the company. The purchase may have been triggered by brand awareness, recommendations, organic content, or previous advertising. If all revenue is attributed to the last paid click, paid search appears more profitable, while the upstream efforts are underestimated.
Conversely, social advertising is often judged too harshly when only the final click counts. A video can generate demand without triggering the final visit. Therefore, a combination of platform data, shop data, and controlled testing is needed. Geographic experiments, temporary budget reductions, holdout groups, and comparisons with similar regions can reveal the actual additional revenue generated.
The most important metric is the incremental contribution margin. It doesn't tell you which channel most recently influenced the purchase, but rather how much additional economic value would not have been generated without the respective measure. This perspective can be uncomfortable because it devalues some seemingly strong campaigns. However, it prevents retailers from buying back organic demand at high prices and celebrating this as growth.
SEO is becoming more valuable and more difficult
Search engine optimization (SEO) is gaining strategic importance because it builds visibility without requiring payment for each individual click. A well-placed category text, guide, product comparison, or technical manual can attract visitors over the long term. The marginal cost of an additional organic visitor is often lower than that of an ad auction. At the same time, content, internal linking, and brand authority are built as long-term assets.
SEO isn't free, however. Companies pay for research, content creation, technology, digital public relations, data maintenance, and ongoing updates. Rankings can be lost due to competitors, algorithm changes, or technical errors. Those who sell SEO as a free alternative to paid media are simply replacing visible click costs with less visible personnel and investment costs.
Furthermore, generative AI is changing search behavior. AI summaries answer many informational questions directly on the results page. Studies show significantly lower click-through rates for traditional search results when AI answers are displayed. General advice questions, definitions, and simple comparisons are particularly affected. Therefore, a top ranking will no longer automatically guarantee the same level of traffic as before.
For e-commerce, this means a shift. Superficial content that merely rephrases familiar information is losing value. Pages with genuine purchase intent, unique data, credible experiences, helpful tools, verifiable tests, and strong brand authority are more successful. SEO is expanding to include optimization for traditional search engines, marketplace search, and generative answer systems. The goal is no longer just a blue link, but brand presence throughout the entire digital decision-making process.
Conversion optimization as a margin lever
Conversion rate optimization (CRO) is economically attractive because it better monetizes existing traffic. If the conversion rate increases with the same visitor volume, the marketing budget is spread across more orders. This reduces the acquisition cost per purchase. At the same time, improved user experience can reduce returns, increase the average order value, and improve the percentage of suitable customers.
The average conversion rate of a shop is, however, a rough metric. Benchmarks for Shopify shops are often in the low single-digit percentage range, but category, device, price, country, and traffic source significantly influence the result. A shop selling high-priced furniture might be healthy with a conversion rate well below two percent, while a retailer of inexpensive consumer goods with the same rate would have a problem. The crucial factor is not comparing to a general average, but rather the improvement within comparable segments.
The most powerful levers are often the least spectacular. Fast loading times, clear product information, transparent shipping costs, straightforward return policies, suitable payment methods, visible availability, and a flawless checkout process eliminate friction. Equally important is expectation alignment: the ad, the landing page, and the product must convey the same promise. A high click-through rate followed by disappointment might generate traffic, but it won't lead to sustainable sales.
CRO should not be reduced to manipulative urgency or aggressive pop-ups. While such methods may increase conversion rates in the short term, they damage trust and the brand in the long run. Effective optimization helps customers make informed decisions more quickly. This improves not only conversion rates but also customer satisfaction, return rates, and repeat purchases.
Customer loyalty is becoming a growth economy
When the first order becomes less profitable, the value of customer retention increases. Returning customers are familiar with the product, brand, and process. They often require less persuasion, convert better, and incur lower service costs. Current benchmarks show a significant conversion advantage for returning visitors compared to new visitors. This difference makes retention a core economic process and not just a task for email marketing.
Customer loyalty isn't created simply by sending out more frequent advertising messages. It starts with the product itself. A weak product can't be permanently salvaged through automation. Delivery reliability, packaging, support, complaint handling, and perceived value determine whether a customer returns. Marketing can remind or facilitate the next purchase, but it can't replace genuine satisfaction.
Having your own touchpoints is particularly valuable. Email, customer accounts, apps, communities, and service relationships reduce your reliance on paid auctions. However, the term "own channel" shouldn't obscure the fact that this reach also needs to be earned. Customers only give their consent if they perceive a benefit. Relevant advice, available products, helpful reminders, and exclusive services create this value more effectively than constant discount advertising.
Subscriptions can stabilize repeat purchases, but they are not a universal solution. They work best with predictable consumption and ongoing needs. In unsuitable categories, they generate cancellations, increased support costs, and mistrust. A flexible reorder logic with reminders, quantity options, and easy pausing is often more economically viable.
Trademark as protection before auction
A strong brand doesn't automatically lower every click price, but it does change the economic quality of demand. Users search for it specifically, are more likely to click, convert more frequently, and compare less based solely on price. Brand awareness thus creates a kind of pre-sale in the customer's mind. The shop no longer has to do all the convincing in a single session.
This advantage cannot be bought in the short term. A brand is built through consistent product experience, recognizable positioning, credible communication, and repeated positive interactions. Performance marketing often optimizes for immediately measurable results. Brand building, on the other hand, invests in future preference. These two approaches should not be pitted against each other. Without performance, there is no short-term demand; without a brand, every demand becomes a costly, long-term investment.
For smaller retailers, brand building doesn't necessarily mean television advertising or multi-million dollar budgets. A clear specialization can already be effective in building a brand. Being perceived as the go-to source for a specific application, target group, or problem solution provides an economic advantage. Expert content, exceptional service, traceable origins, or a unique product selection can solidify this position.
The most dangerous situation is interchangeable goods with interchangeable communication. In this scenario, the customer decides on price, delivery time, and marketplace ratings. In this environment, a growing share of value flows to advertising and trading platforms. A differentiated brand retains more value within the company.
The underestimated role of the product range
Marketing efficiency is often treated as a media problem, although it strongly depends on the product range. A product with a low margin, high return rate, and weak repurchase can remain unattractive even with excellent campaigns. Conversely, a differentiated product with a good contribution margin can absorb higher acquisition costs and thus outbid competitors in the auction.
Retailers should therefore evaluate not only campaigns but also products based on their contribution margin after marketing. Some items are good at attracting new customers, others increase the average order value, and still others encourage repeat purchases. A loss leader can be beneficial if it demonstrably leads to profitable follow-up purchases. It's detrimental if it primarily attracts bargain hunters who never return.
Bundles and quantity discounts can increase the order value and better distribute fulfillment costs. Complementary products improve margins if they offer genuine added value. Private label brands or exclusive variants reduce direct price comparability. Availability is also a marketing factor: advertising for unavailable goods wastes budget and erodes trust.
Economic optimization therefore begins before the advertisement. Purchasing, product development, pricing, and inventory planning determine how much a retailer can pay for attention. Marketing amplifies these decisions, not replaces them.
A robust control model
A modern e-commerce company needs a management system that integrates revenue, contribution margin, customer lifetime value, and liquidity. The first step is to examine the contribution margin of each order after product- and order-related costs. Next, marketing costs are broken down by new and existing customers. This is followed by cohort analysis, which reveals when an acquired customer recoups their initial losses.
Every company should be aware of at least three limits when making budget decisions. The first limit is the maximum acquisition price for profitability on the initial purchase. The second is the maximum acceptable price within a defined amortization period. The third is a liquidity limit that determines how many initially unprofitable customers can be financed simultaneously. Without this third limit, theoretically profitable growth can still lead to insolvency.
It's also important to distinguish between demand harvesting and demand generation. Brand search, product search, retargeting, and marketplace ads often tap into existing intent. Social video, creator collaborations, editorial content, and brand communication can generate new preferences. Both groups require different measurement methods and time horizons. Trying to force them into a single return-on-ad-spend metric inevitably leads to misdirection.
The best planning uses scenarios. A baseline scenario assumes realistic repurchase rates and stable advertising costs. A stress scenario assumes higher click prices, lower conversion rates, and delayed repurchases. A positive scenario highlights the potential for better retention and larger average order values. Investments are only scaled aggressively if the company remains financially viable even under stress.
The correct channel mix
The future of e-commerce lies neither in a purely paid strategy nor in the romantic notion that organic reach solves all problems. A resilient system combines short-term, controllable demand with long-term, built-up assets. Paid media provides speed and testing. SEO and editorial content create discoverable substance. Conversion optimization increases the return on each visitor. Customer loyalty extends monetization. Branding improves the quality of overall demand.
The weighting depends on the business model. A retailer of frequently purchased consumer goods can accept higher initial acquisition costs and invest heavily in retention. A provider of durable capital goods needs higher first-order fees, consultation, and high-quality search demand. A fashion retailer must master returns and be creatively agile. A spare parts specialist benefits disproportionately from technical SEO, data quality, and immediate availability.
Independence doesn't mean abandoning platforms. It means not being existentially dependent on a single platform. A retailer can make intensive use of Google, Meta, and Amazon and still operate strategically independently if they control their customer relationships, data, brand, and profitability. Conversely, a company with a lot of organic traffic can become dependent if almost all visits come from just one search engine.
The channel mix should therefore be evaluated not only based on current revenue but also on concentration risk. The higher the share of a single access channel, the greater the economic damage from price changes, blocking, or algorithm changes. Diversification costs efficiency in the short term but increases resilience in the long term.
What retailers need to change now
The first priority is transparency. Merchants need to know which customers, products, and channels generate value after all variable costs are accounted for. As long as only revenue and platform ROAS are considered, the profitability debate remains speculative. Accurate contribution margin calculation can be painful, but it is the prerequisite for any improvement.
The second priority is the quality of new customers. Not every order is equally valuable. Campaigns should be evaluated based on subsequent customer behavior: repeat purchases, returns, reliance on discounts, service costs, and contribution margin. This can reveal that a seemingly expensive channel delivers better customers in the long run than a cheaper one.
The third priority is reducing unnecessary friction. Product data, loading times, mobile usability, checkout, payment methods, delivery information, and returns communication must be systematically improved. Even small improvements have an impact across all traffic sources and therefore often have a greater impact than the next isolated campaign optimization.
The fourth priority is building distinctive demand. This includes brand, content, community, recommendations, and direct customer contact. These measures rarely deliver the same immediate, measurable impact as an advertising campaign. However, they gradually shift the balance of power: from rented access to one's own customer base.
The fifth priority is financial discipline. Growth should not be measured solely by revenue. Crucial factors are contribution margin, payback period, and cash flow. A company that grows more slowly but with a positive customer economy is often more valuable and resilient than a rapidly growing retailer that subsidizes every additional sale.
Reach is not a business model
The current crisis in paid profitability is less the end of paid advertising than the end of a comfortable growth illusion. Cheap clicks have long given the impression that reach is synonymous with added value. But purchased traffic is initially just input. Only product margin, conversion, repeat purchases, brand, and operational quality transform it into economic return.
SEO is becoming more important, but it's not free and it's not risk-free. Conversion optimization is becoming more valuable, but it can't save an unattractive offer. Customer loyalty improves customer lifetime value, but it requires genuine satisfaction. Paid media remains effective if it generates additional demand and is used within clear financial limits. Each discipline only solves part of the problem.
The rationale, therefore, is this: losing money on an initial purchase doesn't automatically mean failure. However, those who can neither measure the loss across cohorts nor reliably and quickly recoup it are not pursuing a growth strategy, but rather clinging to hope. Successful e-commerce companies will increasingly focus less on how much traffic they can buy and more on the sustainable contribution margin each new customer generates and the true value of that customer loyalty.
Paid advertising is therefore neither the enemy nor the savior. It's an amplifier. It amplifies good products, clear positioning, and robust customer relationships. It also amplifies low margins, interchangeability, and weak customer loyalty. Anyone who understands this logic doesn't have to write off paid media. They simply need to stop confusing rented reach with profitable growth.
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