D2C Unit Economics: 16 Metrics Every E-commerce Startup Must Track (2026)

D2C Unit Economics: 16 Metrics Every E-commerce Startup Know
Unit Economics
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Ankit Sarawagi · Founder, CFOmatrix · June 17, 2026 · 15 min read · Updated June 2026

D2C is a cash-intensive business disguised as a growth story. You spend money upfront on paid ads to acquire a customer, absorb the cost of shipping and returns, and then hope they come back. Without the right unit economics, you cannot tell whether your brand is building real value or simply converting investor money into customer orders. This guide covers the 16 metrics that define a healthy D2C and e-commerce business, how to calculate each one, and what the numbers are telling you about the sustainability of your model.

Key Takeaways

  • Contribution Margin per order is the real profitability test: gross margin minus shipping, returns, and payment costs
  • A repeat purchase rate of 30% or above separates sustainable D2C brands from acquisition-dependent ones
  • Blended CAC hides the truth; break it down by Meta Ads, Google Ads, influencer, and organic separately
  • Most D2C brands lose money on the first order by design; the business only works if customers return
  • ROAS of 3 to 5x is the healthy range for Indian D2C brands; below 2x is a structural concern
  • Inventory turnover below 4x annually is a cash flow warning sign, regardless of revenue growth
30%+
Repeat purchase rate threshold that separates sustainable D2C brands from acquisition-dependent ones.
3-5x
Healthy ROAS range for Indian D2C brands on Meta and Google Ads. Below 2x is a structural concern.
Contribution Margin
The single most important D2C metric: gross margin minus shipping, returns, and payment costs per order.

Why D2C Unit Economics Are Different

A traditional retail brand sells to a distributor, collects cash, and moves on. The economics are relatively straightforward: cost of goods, distributor margin, and whatever brand spend drives sell-through. In D2C, the brand owns the entire relationship from first click to final delivery, which means it also owns every cost in between.

This direct ownership creates a structural unit economics problem that most D2C founders underestimate. You pay for the customer through paid ads before you know whether they will ever return. You absorb shipping and payment gateway costs on every order. You take back returns and issue refunds. And you do all of this at a per-order level, which means your profitability at scale is nothing more than the sum of thousands of individual order economics.

The other thing D2C founders underestimate is how different the economics look by channel and by customer cohort. A brand with Rs. 10 crore in revenue could be profitable on direct and CRM-acquired customers while deeply loss-making on its Meta Ads channel. Without tracking unit economics at the channel and cohort level, you are flying blind and usually burning capital on channels that will never pay back.

CFO Lens: D2C unit economics are not just an investor metric. They are the only honest answer to the question every founder needs to ask: if I acquire one more customer today, does this business get better or worse?

Revenue Metrics

AOV — Average Order Value

AOV is the average revenue generated per order placed on your store. It is the starting point for almost every downstream unit economics calculation and determines how much room you have to absorb fulfilment costs while staying profitable per transaction.

AOV = Total Revenue / Total Number of Orders

AOV varies significantly by category. Fashion brands typically see AOVs of Rs. 800 to Rs. 2,000. Electronics and appliances see Rs. 5,000 and above. Beauty and personal care sits in the Rs. 600 to Rs. 1,500 range. Tracking AOV in isolation is less useful than tracking it relative to your per-order fulfilment cost, which sets your minimum viable AOV for profitability.

Benchmark: AOV benchmarks are category-specific, but the key test is whether your AOV covers COGS plus shipping plus payment gateway fees and still leaves a positive contribution margin. If your AOV is below this breakeven, every order you ship makes the problem worse.
Common Mistake: Optimising for AOV without checking contribution margin per order. A higher AOV driven by discounts or bundling at low margins can actually reduce per-order profitability while making the top line look better. Always pair AOV with contribution margin.

Revenue per Visitor

Revenue per Visitor measures how effectively your website converts traffic into revenue. It combines your conversion rate and AOV into a single number that tells you the commercial value of each visitor arriving at your store, regardless of the acquisition channel.

Revenue per Visitor = Total Revenue / Total Website Visitors

A brand with a 2% conversion rate and an AOV of Rs. 1,000 generates Rs. 20 in revenue per visitor. This number becomes the ceiling for your CAC from paid channels: if you pay more than Rs. 20 per click to acquire a visitor and your gross margin is 50%, you are losing money before a single item ships.

Benchmark: Healthy D2C stores typically convert 1 to 3% of visitors, depending on traffic source quality. Paid traffic often converts lower than direct or email traffic. Revenue per Visitor of Rs. 15 to Rs. 40 is typical for mid-market Indian D2C brands.
Common Mistake: Tracking blended Revenue per Visitor across all traffic sources. Organic and direct visitors convert 3 to 5x higher than cold paid traffic. Blending these hides the poor performance of paid channels and creates a false sense of funnel efficiency.

First Order Profitability

First Order Profitability measures whether a brand makes or loses money on the very first purchase a new customer makes, after accounting for the full cost of acquiring that customer. This is where most D2C brands discover the uncomfortable truth about their model.

First Order Profitability = (Revenue from First Order – COGS – Shipping – Gateway Fee – CAC) / Revenue from First Order

Many D2C brands lose money on the first order by design. A customer acquired via Meta Ads for Rs. 400 CAC on an Rs. 800 order with 50% gross margin and Rs. 100 in shipping and gateway costs yields a first-order loss of Rs. 100. The business only works if that customer returns for a second and third purchase.

CFO Tip: Knowing your first-order loss per channel lets you set rational CAC targets. If your first-order contribution margin (before CAC) is Rs. 250, any CAC above Rs. 250 creates a first-order loss. The maximum CAC you can absorb depends entirely on your repeat purchase rate and LTV.
Common Mistake: Treating first-order losses as acceptable without knowing your repeat purchase rate by cohort. If only 15% of customers ever return, the math on first-order losses rarely recovers. Validate repeat rate before scaling a channel with a negative first-order margin.

Customer Acquisition

Acquisition costs are where D2C unit economics most often break down. Paid advertising on Meta and Google is efficient at scale but expensive at the margin, and founders who track only blended numbers rarely see how bad their most expensive channels actually are.

CAC — Customer Acquisition Cost

CAC is the total cost to acquire one new paying customer. For D2C, it includes all marketing spend: Meta Ads, Google Ads, influencer fees, agency costs, content production, and any other spend that drives new customer acquisition.

CAC = Total Marketing Spend / Number of New Customers Acquired

CAC is the single most important cost metric in the D2C P&L. It determines whether your acquisition funnel is sustainable and sets the boundary conditions for how much you can afford to spend per channel, per campaign, and per creative.

CFO Tip: Track CAC monthly and by acquisition cohort. A rising CAC trend over three months means either your paid channels are saturating or your creative is fatiguing. Both are fixable early, but almost impossible to fix after you have committed to a growth plan built on the old CAC.
Common Mistake: Including brand awareness spend (podcast ads, influencer seeding, PR) in the CAC denominator without attributing those customers correctly. If you cannot attribute a customer to a specific spend, your CAC is understated and your payback period is longer than you think.

Blended CAC vs Channel CAC

Blended CAC is the average cost to acquire a customer across all channels combined. Channel CAC is the cost specific to each individual acquisition channel. The difference between these two numbers is often where the real story of a D2C brand lives.

Channel CAC = Channel Spend / New Customers Attributed to That Channel

A brand with a blended CAC of Rs. 350 might have a Meta Ads CAC of Rs. 600, a Google Ads CAC of Rs. 450, an influencer CAC of Rs. 280, and an organic CAC of Rs. 80. The blended number looks acceptable; the channel breakdown reveals that paid social is destroying value while organic is building it.

Benchmark: For Indian D2C brands, Meta Ads CAC typically runs Rs. 200 to Rs. 800 depending on category, competition, and funnel maturity. Google Shopping CAC is often 20 to 30% lower than Meta for intent-driven categories. Organic CAC should be tracked even if it looks low: it has a real cost in content, SEO, and community effort.
Common Mistake: Scaling the channel with the lowest blended contribution to CAC without checking whether those customers are actually profitable. Organic customers often have higher LTV and lower return rates than paid customers. Cutting organic investment to fund paid scale can quietly destroy the quality of your customer base.

ROAS — Return on Ad Spend

ROAS measures how much revenue you generate for every rupee you spend on advertising. It is the primary performance metric used by performance marketing teams and the number most commonly cited by agencies when reporting campaign results.

ROAS = Revenue from Ads / Ad Spend

A ROAS of 4x means that for every Rs. 100 spent on ads, you generated Rs. 400 in revenue. But ROAS is a revenue metric, not a profitability metric. A 4x ROAS on a product with 30% gross margin and 20% in fulfilment costs leaves only 10% for the brand after ad spend, which is often not enough to cover overheads.

Benchmark: Healthy ROAS for Indian D2C brands on Meta Ads and Google Ads is typically 3x to 5x. Below 2.5x is usually a sign that either the product margin is too thin, the creative is underperforming, or the audience targeting needs refinement.
Common Mistake: Using ROAS as the primary signal of campaign profitability. Always convert ROAS to a contribution margin check: revenue x gross margin percentage minus ad spend minus shipping minus gateway fees. Only this calculation tells you whether the campaign actually made money.

CAC Payback Period

CAC Payback Period measures how many months it takes to recover the cost of acquiring a customer through the gross profit they generate. In D2C, this depends heavily on repeat purchase rate: the faster a customer returns, the faster you recover your CAC.

CAC Payback Period = CAC / Monthly Gross Profit per Customer

For a D2C brand with a CAC of Rs. 400, an AOV of Rs. 1,000, a gross margin of 50%, and a purchase frequency of once every two months, the monthly gross profit per customer is Rs. 250 (Rs. 500 gross profit x 0.5 months per order). The payback period is approximately 1.6 months. Brands with low repeat rates and high CAC may take 6 to 12 months to recover acquisition costs, which creates a significant cash flow drag.

Benchmark: Under 3 months is excellent for D2C. 3 to 6 months is acceptable. Above 6 months means the brand needs substantial capital reserves to fund growth, as cash invested in acquisition takes too long to come back.
Common Mistake: Calculating payback period using revenue instead of gross profit. A brand that recovers its CAC in revenue terms in two months but has a 40% gross margin has actually taken five months to recover in real cash. Always use gross profit in the denominator.

Retention and LTV

Retention is where D2C businesses either earn their valuation or expose their addiction to paid acquisition. The four metrics in this section tell you whether your customers actually like your product enough to come back, and how much value each one will generate over their lifetime.

Repeat Purchase Rate

Repeat Purchase Rate measures the percentage of customers who have made more than one purchase from your brand. It is the most direct signal of whether your product delivers enough value for customers to return without being prompted by another ad.

Repeat Purchase Rate = Customers Who Bought 2 or More Times / Total Customers x 100

A brand with 10,000 total customers where 3,500 have placed at least two orders has a repeat purchase rate of 35%. This metric is the foundation of LTV calculations and determines whether the business model can ever achieve profitability without continuous paid acquisition spend.

Benchmark: 30% or above is the threshold for a sustainable D2C brand. The best Indian D2C brands in beauty, supplements, and food and beverage achieve 40 to 55% repeat rates. Fashion tends to run lower at 20 to 30% due to the discretionary nature of purchasing.
Common Mistake: Measuring repeat rate across your entire customer base without cohort segmentation. A brand that launched two years ago and acquired 80% of its customers in the last three months will show an artificially low repeat rate. Always measure repeat rate within 90-day and 180-day cohorts for a fair picture.

Customer Retention Rate

Customer Retention Rate measures the percentage of customers from a given cohort who are still active buyers after a defined period. Unlike Repeat Purchase Rate, which is a snapshot, cohort-based retention shows you how your customer base degrades over time and whether you are improving or worsening at keeping customers engaged.

Customer Retention Rate = Customers Retained in Period / Customers at Start of Period x 100

Cohort analysis is essential here. Track each month’s new customers separately and measure what percentage placed a second order within 60 days, a third within 120 days, and so on. This view reveals which acquisition channels bring in loyal customers versus one-and-done buyers, and whether product or experience changes are improving retention over time.

CFO Tip: Plot retention curves for monthly cohorts side by side. If recent cohorts flatten earlier than older ones (retain a higher percentage at 90 days), your product and CRM improvements are working. If curves are getting steeper (more customers drop off faster), something in the acquisition or product experience is deteriorating.
Common Mistake: Confusing active email subscribers or app installs with active customers. Retention rate should only count customers who placed another order, not customers who opened a WhatsApp message or clicked an email. Vanity engagement metrics hide the real churn picture.

LTV — Customer Lifetime Value

LTV is the total gross profit a brand can expect to generate from a customer over their entire purchasing relationship. In D2C, LTV is the only number that tells you the maximum you can rationally spend to acquire a customer and still build a viable business.

LTV = (AOV x Purchase Frequency x Gross Margin %) / Annual Churn Rate

Example: A brand with Rs. 1,200 AOV, 3 purchases per year, 55% gross margin, and 40% annual churn has an LTV of Rs. 4,950 (1,200 x 3 x 0.55 / 0.40). This brand can rationally spend up to Rs. 1,650 on CAC at a 3:1 LTV:CAC ratio and still have a sustainable acquisition model.

CFO Tip: LTV calculations for D2C should use contribution margin per order (after shipping and returns), not just gross margin. A brand with 55% gross margin but 15% shipping and 5% returns has an effective contribution margin of 35%, which reduces LTV significantly and changes the CAC ceiling.
Common Mistake: Using a 5-year or infinite horizon for D2C LTV calculations. Most D2C customers churn much faster than SaaS customers. Use actual cohort data to set a realistic time horizon, typically 12 to 24 months, rather than modelling perpetual purchase frequency.

LTV:CAC Ratio

The LTV:CAC ratio tests whether your customer acquisition model is economically rational. It compares the lifetime value a customer generates against what it cost to acquire them. For D2C, the minimum viable threshold is lower than SaaS because the cash cycle is faster, but the principle is identical.

LTV:CAC Ratio = LTV / CAC
Benchmark: A 3:1 LTV:CAC ratio is the minimum target for a D2C brand. 5:1 is strong and signals room to invest more aggressively in growth. Below 2:1 means every new customer acquired is destroying value on a lifetime basis, regardless of how good the revenue growth looks in the short term.
Common Mistake: Calculating LTV:CAC at the brand level without segmenting by channel. A brand with a 4:1 blended LTV:CAC may have a 1.5:1 ratio on Meta Ads and a 9:1 ratio on organic. Scaling Meta in this scenario actively destroys value even as the blended metric looks healthy.

Margin Metrics

Margin metrics are where D2C profitability is won or lost. Revenue growth is visible and celebrated; margin erosion is quiet and cumulative. The three metrics in this section give you a complete picture of how much of each order’s revenue actually stays with the business after all variable costs.

Gross Margin

Gross Margin is the percentage of revenue remaining after deducting the direct cost of producing or procuring the products sold. For D2C, COGS includes raw materials or sourced product cost, packaging, and inbound freight. It does not include outbound shipping, marketing, or overheads.

Gross Margin = (Revenue – COGS) / Revenue x 100

Gross margin sets the ceiling for everything else. A brand with a 35% gross margin cannot build a viable D2C business at scale because outbound shipping (typically 8 to 15% of revenue), payment gateway fees (1.5 to 2.5%), and returns (3 to 15%) will consume most of that margin before a rupee of marketing spend is counted.

Benchmark: Target 50 to 70% gross margin for a sustainable D2C brand. Below 40% is a structural concern that typically cannot be fixed by operational efficiency alone. Categories like electronics and grocery inherently run at lower margins and require very different unit economics models.
Common Mistake: Including outbound shipping or warehouse costs in COGS. These are fulfilment costs, not product costs. Mixing them understates gross margin and makes it impossible to isolate where in the cost stack the profitability problem actually sits.

Contribution Margin per Order

Contribution Margin per Order is the real profitability test for a D2C brand. It takes gross margin and subtracts every variable cost associated with fulfilling and processing an order: outbound shipping, payment gateway fees, and a per-order allocation for returns and refunds. What remains is the actual contribution each order makes toward fixed costs and profit.

Contribution Margin per Order = Revenue – COGS – Shipping Cost – Payment Gateway Fee – Return Allocation

A brand selling at Rs. 1,200 with 55% gross margin (Rs. 660 contribution), Rs. 120 shipping cost, Rs. 25 gateway fee, and Rs. 40 return allocation has a contribution margin of Rs. 475 per order, or 39.6% of order value. This is the number that must be positive before any fixed cost or marketing spend is layered on top.

Benchmark: Target 20 to 35% contribution margin per order for a healthy D2C brand. Below 15% means the brand has very little room to absorb marketing costs and still reach profitability. Best-in-class Indian D2C brands in beauty and supplements achieve 35 to 45% contribution margins.
Common Mistake: Ignoring the return allocation in the contribution margin calculation. If your return rate is 12% and processing a return costs Rs. 180, you should allocate Rs. 21.60 against every order, not just returned ones. Failing to do this overstates contribution margin and makes unprofitable channels look viable.

Return Rate

Return Rate measures the percentage of orders that are returned by customers. For D2C brands, returns are one of the most undertracked and underestimated cost drivers. Each return involves reverse logistics, quality inspection, restocking or write-off, and customer service time, all of which erode contribution margin silently.

Return Rate = Returned Orders / Total Orders x 100

Return rates vary enormously by category. Fashion typically sees 15 to 25% return rates on size and fit issues. FMCG and consumables run below 3%. Electronics and appliances fall in the 5 to 10% range. A high return rate not only increases direct costs but also signals a product quality or description problem that will damage repeat purchase rates over time.

Benchmark: Below 10% for fashion, below 3% for FMCG and consumables, below 8% for home and lifestyle. For COD (cash-on-delivery) orders, expect return rates 2 to 3x higher than prepaid. Shifting COD customers to prepaid through incentives is one of the highest-leverage levers for improving unit economics in Indian D2C.
Common Mistake: Tracking only the logistics cost of returns and ignoring the full cost: lost contribution margin on the returned order, cost of quality check, restocking or product write-off, and customer service time. The true cost of a return is typically 1.5 to 2x the reverse logistics fee alone.

Operations

Operational metrics in D2C are directly linked to unit economics in ways that are easy to overlook. Cart abandonment represents revenue sitting on the table. Slow inventory turnover means capital is sitting in a warehouse instead of generating returns. Both have a direct and measurable impact on per-order and per-customer economics.

Cart Abandonment Rate

Cart Abandonment Rate measures the percentage of customers who initiate a checkout but do not complete the purchase. Every abandoned cart represents a customer who expressed buying intent but did not convert, and who may have been acquired through paid spend that was already incurred.

Cart Abandonment Rate = Abandoned Carts / Initiated Checkouts x 100

Indian D2C brands typically see cart abandonment rates of 65 to 80%. Common reasons include COD unavailability, unexpected shipping charges added at checkout, trust concerns for new brands, and distraction. A 1 percentage point improvement in abandonment rate on a brand doing 10,000 checkout initiations per month means 100 additional orders at no incremental acquisition cost.

Benchmark: Industry-average cart abandonment is 65 to 75% for Indian e-commerce. Below 60% is excellent. The highest-impact interventions are: making shipping charges transparent before checkout, offering COD as a payment option, adding trust signals (reviews, return policy), and running WhatsApp or email abandonment recovery flows within 30 to 60 minutes.
Common Mistake: Measuring cart abandonment only and ignoring the earlier funnel drop: product page views that never reach the cart. If 90% of visitors who see a product never add it to the cart, the abandonment rate is the wrong problem to fix. Map the full funnel from product page to checkout to identify the highest-impact drop-off point.

Inventory Turnover

Inventory Turnover measures how many times a brand sells through its average inventory in a year. It is a direct measure of capital efficiency in operations: higher turnover means less cash tied up in stock, faster cash conversion, and lower risk of markdowns or write-offs on slow-moving inventory.

Inventory Turnover = COGS / Average Inventory Value

A brand with Rs. 2 crore in annual COGS and average inventory of Rs. 50 lakh has an inventory turnover of 4x, meaning inventory cycles roughly every 90 days. The same brand with Rs. 25 lakh in average inventory turns 8x, cycling every 45 days, and has dramatically better working capital efficiency.

Benchmark: Target 6 to 8x annual inventory turnover for most D2C categories. Below 4x annually is a cash flow concern and often signals over-buying, poor demand forecasting, or too-wide a SKU range. Seasonal categories may dip to 3 to 4x during off-season but should recover to 6x or above on a full-year basis.
Common Mistake: Using total inventory value instead of average inventory when calculating turnover. If you started the year with Rs. 80 lakh in stock and ended with Rs. 20 lakh, using either number gives a distorted picture. Always use the average of opening and closing inventory for an accurate turnover ratio.

D2C Benchmarks for Indian Startups

These benchmarks reflect Indian D2C and e-commerce norms at different business stages. Category-specific metrics will vary significantly, but the ranges below provide a working framework for evaluating unit economics health across the most common D2C verticals.

MetricEarly StageGrowth StageMature
Gross Margin45%+ acceptable50%+ expected55-70% target
Contribution Margin per Order10-15% minimum20-30% expected30-40% target
Repeat Purchase Rate20%+ acceptable30%+ expected40-50% target
ROAS (Meta/Google)2.5x minimum3.5x expected4-6x target
LTV:CAC Ratio1.5:1+ minimum3:1 expected4-5:1 target
Return Rate (Fashion)Below 20%Below 15%Below 10%
Cart Abandonment RateBelow 80%Below 70%Below 60%
Inventory Turnover4x+ annually6x+ annually8x+ annually

“The D2C brands that survive are not the ones with the best ads. They are the ones that know their contribution margin per order to the rupee and build every growth decision from that number.”

Ankit Sarawagi, CFOmatrix

Need help building your D2C unit economics model?

CFOmatrix helps D2C founders set up the right metrics framework, identify margin leaks, and prepare for investor conversations with numbers that hold up to scrutiny.

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Frequently Asked Questions

What is a healthy contribution margin per order for a D2C startup?

A healthy contribution margin per order for a D2C brand is 20 to 35 percent of the order value after deducting COGS, shipping, payment gateway fees, and a return allocation. Brands in beauty, supplements, and food targeting repeat customers often achieve 30 to 40 percent. Below 15 percent means the brand is structurally unprofitable at the per-order level and cannot reach profitability without either raising prices, reducing fulfilment costs, or dramatically improving gross margin through better sourcing.

How is ROAS different from ROI for a D2C brand?

ROAS measures revenue generated per rupee of ad spend without accounting for COGS, shipping, returns, or any other cost. ROI accounts for all costs and measures actual profit generated per rupee invested. A ROAS of 4x on a product with 40 percent gross margin and 20 percent in fulfilment costs leaves only 20 percent of revenue for the brand after ad spend, which is often insufficient to cover overheads. D2C founders should use ROAS for campaign-level optimisation and contribution-margin-adjusted ROI for business-level decision making.

What repeat purchase rate should a D2C brand target in India?

A repeat purchase rate of 30 percent or above is the threshold that separates sustainable D2C brands from acquisition-dependent ones. The best Indian D2C brands in categories like beauty, supplements, and food and beverage target 40 to 55 percent repeat rates within 12 months. Fashion brands typically run lower at 20 to 30 percent due to the discretionary nature of purchases. Below 20 percent means the brand will struggle to justify its CAC without relying on continuous and increasing paid acquisition spend.

Why do most D2C startups lose money on the first order?

Most D2C startups lose money on the first order because the CAC from paid channels exceeds the contribution margin from a single purchase. A customer acquired via Meta Ads for Rs. 400 on an Rs. 800 order with 50 percent gross margin and Rs. 120 in fulfilment costs delivers a contribution of Rs. 280 before CAC, resulting in a first-order loss of Rs. 120. The business model only works if that customer returns and purchases again without requiring the same acquisition cost. This is why repeat purchase rate and LTV:CAC ratio are far more important than first-order profitability for growth-stage D2C brands building for scale.

What inventory turnover ratio should a D2C startup target?

D2C startups should target an inventory turnover of at least 6 to 8 times annually, meaning inventory is sold and replenished every 6 to 8 weeks. Below 4x annually is a cash flow concern, as capital is tied up in unsold stock rather than generating returns. Fashion and seasonal categories may see lower turnover during off-season periods, but should still aim for 6x or above on a full-year basis. Poor inventory turnover is one of the most common reasons D2C brands with strong revenue growth run into cash crunches: they are selling fast but buying faster.

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Ankit Sarawagi

Founder, CFOmatrix | Finance Strategy & Equity Compliance

CFOmatrix is a knowledge platform focused on how finance actually works inside growing companies. Every insight is shaped by real operating experience across startups and growth-stage companies, including cross-border setups.

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