[{"data":1,"prerenderedAt":1538},["ShallowReactive",2],{"site-chrome-sg":3,"site-chrome-en":-1,"site-chrome-th":-1,"blog-page-sg":287,"blog-categories-sg":345,"blog-posts-sg":365,"article-blog-sg-\u002Fblog\u002Fsea-marketplace-2026":722,"og-copy-sg":1495,"og-posts-sg-none":1537},{"id":4,"extension":5,"footer":6,"header":116,"indexFacets":202,"meta":243,"notFound":244,"stem":250,"ui":251,"__hash__":286},"chrome_en\u002Fen\u002Fchrome.yml","yml",{"columns":7,"legal":83,"quote":84,"askAi":87,"socials":103},[8,29,47,65],{"label":9,"children":10},"Product",[11,14,17,20,23,26],{"label":12,"to":13},"Ads optimization","\u002Fsg\u002Fblog\u002Fads-optimization",{"label":15,"to":16},"Unit economics","\u002Fsg\u002Fblog\u002Fprofit-margin",{"label":18,"to":19},"Agentic KAM","https:\u002F\u002Flearn.dataglasslabs.com\u002Fdocs\u002Fai-and-api\u002Fassistants",{"label":21,"to":22},"One-click deploy","https:\u002F\u002Flearn.dataglasslabs.com\u002Fdocs\u002Fgrowth\u002Factions\u002Faction-flow",{"label":24,"to":25},"Integrations","https:\u002F\u002Flearn.dataglasslabs.com\u002Fdocs\u002Foverview\u002Fget-started\u002Fsupported-platforms",{"label":27,"to":28},"Pricing","\u002Fsg\u002Fpricing",{"label":30,"children":31},"Resources",[32,35,38,41,44],{"label":33,"to":34},"Blog","\u002Fsg\u002Fblog",{"label":36,"to":37},"Customer stories","\u002Fsg\u002Fcustomers",{"label":39,"to":40},"Research","\u002Fsg\u002Fresearch",{"label":42,"to":43},"Glossary","\u002Fsg\u002Fglossary",{"label":45,"to":46},"Docs","https:\u002F\u002Flearn.dataglasslabs.com\u002Fdocs",{"label":48,"children":49},"Company",[50,53,56,59,62],{"label":51,"to":52},"About","\u002Fsg\u002Fcompany",{"label":54,"to":55},"Contact","\u002Fsg\u002Fcontact",{"label":57,"to":58},"Book a demo","\u002Fsg\u002Fbook-a-demo",{"label":60,"to":61},"Privacy","\u002Fsg\u002Flegal\u002Fprivacy",{"label":63,"to":64},"Terms","\u002Fsg\u002Flegal\u002Fterms",{"label":66,"children":67},"DataGlass for",[68,71,74,77,80],{"label":69,"to":70},"Agencies","\u002Fsg\u002Ffor\u002Fagencies",{"label":72,"to":73},"Brands","\u002Fsg\u002Ffor\u002Fbrands",{"label":75,"to":76},"Planners and optimizers","\u002Fsg\u002Ffor\u002Fplanners",{"label":78,"to":79},"Managers and analysts","\u002Fsg\u002Ffor\u002Fmanagers",{"label":81,"to":82},"Sellers and shop owners","\u002Fsg\u002Ffor\u002Fsellers","© 2026 DataGlass Labs. All rights reserved.",{"text":85,"caption":86},"Measure what you keep, and then grow what you measure.","The DataGlass team",{"label":88,"prompt":89,"assistants":90},"Ask AI about DataGlass","I want to understand DataGlass, a decision engine for Shopee, Lazada and TikTok Shop sellers that optimizes ads, pricing and promotions for true profit. Use web search to read their website at https:\u002F\u002Fwww.dataglasslabs.com (with an agent-readable summary at https:\u002F\u002Fwww.dataglasslabs.com\u002Fllms.txt), then explain what DataGlass does, who it is for and how it differs from an analytics dashboard.",[91,95,99],{"label":92,"icon":93,"url":94},"ChatGPT","chatgpt","https:\u002F\u002Fchatgpt.com\u002F?prompt={prompt}",{"label":96,"icon":97,"url":98},"Claude","claude","https:\u002F\u002Fclaude.ai\u002Fnew?q={prompt}",{"label":100,"icon":101,"url":102},"Perplexity","perplexity","https:\u002F\u002Fwww.perplexity.ai\u002Fsearch?q={prompt}",[104,108,112],{"label":105,"icon":106,"to":107},"LinkedIn","i-lucide-linkedin","https:\u002F\u002Fwww.linkedin.com\u002Fcompany\u002Fdataglass-labs",{"label":109,"icon":110,"to":111},"Facebook","i-lucide-facebook","https:\u002F\u002Fwww.facebook.com\u002Fdataglasslabsth",{"label":113,"icon":114,"to":115},"Instagram","i-lucide-instagram","https:\u002F\u002Fwww.instagram.com\u002Fdataglasslabs\u002F",{"links":117,"cta":196,"secondaryCta":199},[118,152,191,193,194,195],{"label":9,"to":119,"menu":120},"\u002Fsg",{"layout":121,"heading":122,"cards":123,"groups":135,"footer":142},"cards","What DataGlass does",[124,128,132],{"label":125,"description":126,"to":13,"ui":127},"True profit ads optimization","Budgets, pacing and Target ROAS tuned for profit.","budget-tomorrow",{"label":129,"description":130,"to":16,"ui":131},"Unit economics breakdown","What you actually earn from every sale.","unit-economics",{"label":18,"description":133,"to":19,"motif":134},"An AI agent that knows your shops.",true,[136],{"label":137,"size":138,"links":139},"More","secondary",[140,141],{"label":21,"to":22},{"label":24,"to":25},[143,148],{"lead":144,"label":145,"icon":146,"to":147},"DataGlass v.2.6.","See what's new","i-lucide-box","https:\u002F\u002Flearn.dataglasslabs.com\u002Freleases",{"lead":149,"label":150,"icon":151,"to":37},"Read our","customer 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us",{"label":192,"to":37},"Customers",{"label":27,"to":28},{"label":48,"to":52},{"label":54,"to":55},{"label":197,"to":198},"Start for free","https:\u002F\u002Fapp.dataglasslabs.com\u002Fsign-up",{"label":200,"to":201},"Sign in","https:\u002F\u002Fapp.dataglasslabs.com\u002Fsign-in",{"clear":203,"groups":204},"Clear filters",[205,218],{"key":206,"label":207,"options":208},"platforms","Platform",[209,212,215],{"value":210,"label":211},"shopee","Shopee",{"value":213,"label":214},"lazada","Lazada",{"value":216,"label":217},"tiktok","TikTok Shop",{"key":219,"label":220,"options":221},"format","Format",[222,225,228,231,234,237,240],{"value":223,"label":224},"guide","Guide",{"value":226,"label":227},"article","Article",{"value":229,"label":230},"comparison","Comparison",{"value":232,"label":233},"calculator","Calculator",{"value":235,"label":236},"paper","Paper",{"value":238,"label":239},"survey","Survey",{"value":241,"label":242},"dataset","Dataset",{},{"title":245,"description":246,"cta":247,"errorTitle":249},"Page not found","The page may have moved, or it never existed.",{"label":248,"to":119},"Back to home","Something went wrong","en\u002Fchrome",{"previous":252,"next":253,"pause":254,"play":255,"goTo":256,"expand":257,"close":258,"readMore":259,"learnMore":260,"seeAll":261,"menu":262,"back":263,"share":264,"shareOn":265,"copyLink":266,"copied":267,"onThisPage":268,"minRead":269,"sources":270,"viewMore":271,"searchPosts":272,"allPosts":273,"all":274,"filters":275,"search":276,"searchClose":277,"searchPlaceholder":278,"searchSuggested":279,"searchResults":280,"searchNoResults":281,"searchLoading":282,"relatedTitle":283,"mainNav":284,"footerNav":285},"Previous","Next","Pause","Play","Go to item","Expand","Close","Read more","Learn more","See all","Menu","Back","Share","Share on","Copy link","Link copied","On this page","{n} min read","Sources","View more","Search posts","All posts","All","Filters","Search","Close search","Search DataGlass","Suggested","Results","No results for","Loading","More to discover","Main","Footer","HZQSEulcpFGY0nWnUTNYhG2n06nO97XnUBc_pEVOFxo",{"id":288,"title":33,"blog":289,"body":327,"customers":334,"description":335,"draft":336,"draftReason":334,"extension":337,"glossary":334,"industry":334,"meta":338,"navigation":336,"ogImage":339,"path":340,"research":334,"robots":334,"schemaOrg":334,"seo":341,"showcase":336,"sitemap":342,"stem":343,"__hash__":344},"pages_en\u002Fblog.md",{"emptyLabel":290,"labels":291,"indexLabels":296,"listenLabels":307,"indexCta":320,"ctaButtons":323},"No posts match yet. Try another category or a shorter search.",{"tldr":292,"published":293,"updated":294,"related":295},"In short","Published","Updated","Keep reading",{"categories":297,"sort":298,"newest":299,"oldest":300,"grid":301,"list":302,"loadMore":303,"results":304,"result":305,"clearSearch":306},"Categories","Sort","Newest first","Oldest first","Grid view","List view","Load more","{n} results for “{q}”","1 result for “{q}”","Clear search",{"listen":308,"loading":309,"play":310,"pause":311,"back":312,"forward":313,"speed":314,"seek":315,"player":316,"close":317,"follow":318,"of":319},"Listen to article","Loading…","Play audio of this article","Pause audio","Back 15 seconds","Forward 15 seconds","Playback speed","Seek","Audio player","Pause audio and close player","Follow the text","{a} of {b}",{"headline":321,"subline":322},"Turn every post into a decision","See the numbers behind these notes for your own shops, with a demo on your data.",{"primaryCta":324,"secondaryCta":325},{"label":57,"to":58},{"label":326,"to":28},"See pricing",{"type":328,"value":329,"toc":330},"minimark",[],{"title":331,"searchDepth":332,"depth":332,"links":333},"",3,[],null,"Notes on profit, pricing and ads for sellers on Shopee, Lazada and TikTok Shop, with the numbers behind them.",false,"md",{},{"component":33},"\u002Fblog",{"title":33,"description":335},{"loc":340},"blog","VuN4_Knpp3IpkJqH-kRoXag4vgoPV2p71ZFiR-VpgzQ",[346,349,351,354,357,360,363],{"slug":347,"label":348},"profit","Profit",{"slug":350,"label":27},"pricing",{"slug":352,"label":353},"ads","Ads",{"slug":355,"label":356},"operations","Operations",{"slug":358,"label":359},"market","Market",{"slug":361,"label":362},"data-science","Data Science",{"slug":364,"label":48},"company",[366,373,379,383,388,393,397,402,407,412,418,423,428,433,438,444,450,456,462,469,475,480,486,491,496,501,506,511,517,523,528,534,540,546,551,557,563,569,574,578,583,588,594,601,607,613,619,625,631,637,643,649,655,661,667,673,679,685,690,695,700,705,710,716],{"title":367,"description":368,"category":352,"date":369,"readMinutes":370,"featured":336,"cover":334,"format":223,"platforms":371,"draft":336,"slug":372},"E-commerce ads optimization for Shopee, Lazada, and TikTok Shop, on profit","E-commerce ads optimization on profit: True ROAS, margin-based Target ROAS and nightly budget allocation for Shopee, Lazada and TikTok Shop ads, applied for you.","2026-10-23",4,[210,213,216],"ads-optimization",{"title":374,"description":375,"category":352,"date":369,"readMinutes":376,"featured":336,"cover":334,"format":232,"platforms":377,"draft":336,"slug":378},"What ROAS is break-even? Calculate break-even ROAS and your maximum ad spend per order","Break-even ROAS is 1 ÷ your contribution-margin ratio. It does not depend on how much you spend on ads. This calculator derives it from a dated Shopee Thailand fee rate — or one you type in — then tells you the number sellers actually need: the most baht one order can pay for ads before it stops making money.",9,[210],"break-even-roas-calculator",{"title":380,"description":381,"category":364,"date":369,"readMinutes":332,"featured":336,"cover":334,"format":229,"platforms":334,"draft":336,"slug":382},"DataGlass vs a marketing agency for marketplace profit","When an agency is the right hire, where the agency model has structural blind spots for marketplace profit, and how DataGlass complements an agency engagement.","dataglass-vs-agency",{"title":384,"description":385,"category":364,"date":369,"readMinutes":386,"featured":336,"cover":334,"format":229,"platforms":334,"draft":336,"slug":387},"DataGlass vs an ERP for marketplace decision-making","When an ERP is the right tool, where it falls short for marketplace ad\u002Fpricing decisions, and how DataGlass complements (not replaces) the ERP for SEA sellers.",2,"dataglass-vs-erp",{"title":389,"description":390,"category":364,"date":369,"readMinutes":386,"featured":336,"cover":334,"format":229,"platforms":391,"draft":336,"slug":392},"DataGlass vs Shopee Seller Center for profit-aware operations","Shopee Seller Center is essential for running a Shopee shop, but it does not show profit-aware metrics or cross-platform views. How DataGlass complements it.",[210],"dataglass-vs-shopee-seller-center",{"title":394,"description":395,"category":364,"date":369,"readMinutes":386,"featured":336,"cover":334,"format":229,"platforms":334,"draft":336,"slug":396},"DataGlass vs spreadsheets for marketplace sellers","When spreadsheets are enough, where they break for marketplace sellers, and how DataGlass connects ads, COGS, fees, and inventory into one decision-ready view.","dataglass-vs-spreadsheet",{"title":398,"description":399,"category":355,"date":369,"readMinutes":386,"featured":336,"cover":334,"format":223,"platforms":400,"draft":336,"slug":401},"Prevent stockouts and overstock across Shopee, Lazada, and TikTok Shop","Prevent Shopee, Lazada, and TikTok Shop stockouts with demand-aware forecasting, campaign-day planning, and cross-platform inventory unification.",[210,213,216],"inventory-stockout",{"title":403,"description":404,"category":355,"date":369,"readMinutes":386,"featured":336,"cover":334,"format":226,"platforms":405,"draft":336,"slug":406},"Lazada integration for marketplace profit optimization","DataGlass integrates with Lazada to model true profit per SKU, detect ad waste, evaluate voucher impact, and forecast stockout risk.",[213],"lazada-integration",{"title":408,"description":409,"category":347,"date":369,"readMinutes":376,"featured":336,"cover":334,"format":232,"platforms":410,"draft":336,"slug":411},"Shopee raised its fees on 4 August 2026 — how much more is your shop paying?","The new rate table is everywhere. Your number is not. Enter last month’s GMV by category and this page computes the baht difference between the schedule effective 1 June 2026 and the one effective 4 August 2026 — including the extra hit for shops that were on the discounted-commission programme.",[210],"marketplace-fee-impact-calculator",{"title":413,"description":414,"category":347,"date":369,"readMinutes":415,"featured":336,"cover":334,"format":223,"platforms":416,"draft":336,"slug":417},"Optimize e-commerce profit across Shopee, Lazada, and TikTok Shop","How to optimize e-commerce profit across Shopee, Lazada and TikTok Shop: one objective, five decision variables, and the constraint that binds each.",7,[210,213,216],"optimize-ecommerce-profit",{"title":419,"description":420,"category":350,"date":369,"readMinutes":386,"featured":336,"cover":334,"format":223,"platforms":421,"draft":336,"slug":422},"Price and promote without destroying margin","Optimize Shopee, Lazada, and TikTok Shop discounts, bundle deals, and campaign-day pricing on true margin. Project promotion impact before publishing.",[210,213,216],"pricing-promotions",{"title":424,"description":425,"category":347,"date":369,"readMinutes":370,"featured":336,"cover":334,"format":232,"platforms":426,"draft":336,"slug":427},"E-commerce profit calculator for Shopee sellers","Calculate true Shopee profit per SKU with a per-order breakdown covering commission fees, ads, COGS, and fulfillment.",[210],"profit-margin",{"title":429,"description":430,"category":355,"date":369,"readMinutes":386,"featured":336,"cover":334,"format":226,"platforms":431,"draft":336,"slug":432},"Shopee integration for profit, ads, stock, and promotion decisions","DataGlass connects to Shopee to model true profit per SKU, detect wasted ad spend, and surface daily decisions. Live integration, no manual exports.",[210],"shopee-integration",{"title":434,"description":435,"category":355,"date":369,"readMinutes":386,"featured":336,"cover":334,"format":226,"platforms":436,"draft":336,"slug":437},"TikTok Shop integration for ads, inventory, and profit decisions","DataGlass integrates with TikTok Shop for True ROAS on video and live ads, margin-aware discount analysis, and stock prioritization before live events.",[216],"tiktok-shop-integration",{"title":439,"description":440,"category":352,"date":441,"readMinutes":415,"featured":336,"cover":334,"format":223,"platforms":442,"draft":336,"slug":443},"Shopee ROAS protection and TikTok ROI protection: when the credit actually protects profit","Shopee ROAS protection credits campaigns back to 80% of target, TikTok to 90%. Why that protects profit only above 1.25× break-even, with a worked example.","2026-10-08",[210,216],"roas-protection",{"title":445,"description":446,"category":352,"date":441,"readMinutes":447,"featured":336,"cover":334,"format":223,"platforms":448,"draft":336,"slug":449},"Shopee Ads optimization: set Target ROAS, budget and timing from profit","How to optimize Shopee Ads for profit: break-even ROAS per SKU, which lever binds, and CPC by hour from 9.11M Thai clicks. Worked THB example.",10,[210],"shopee-ads-optimization",{"title":451,"description":452,"category":347,"date":441,"readMinutes":453,"featured":336,"cover":334,"format":223,"platforms":454,"draft":336,"slug":455},"Shopee seller fees in the Philippines 2026: every fee, what it is charged on, and your break-even ROAS","Shopee Philippines seller fees 2026: commission, 2.24% transaction fee, 5.6% platform shipping, seller growth support and ₱5 order fee, worked on one order.",5,[210],"shopee-seller-fees",{"title":457,"description":458,"category":352,"date":441,"readMinutes":459,"featured":336,"cover":334,"format":223,"platforms":460,"draft":336,"slug":461},"TikTok Shop ads optimization: set GMV Max ROI from margin and affiliate mix","How to optimize TikTok Shop GMV Max for profit: break-even ROI after TikTok fees, the affiliate commission trap, and the 3% commission rule. Worked THB example.",8,[216],"tiktok-shop-ads-optimization",{"title":463,"description":464,"category":352,"date":465,"readMinutes":466,"featured":336,"cover":334,"format":226,"platforms":467,"draft":336,"slug":468},"How Shopee ads bidding works: what your Target ROAS and budget actually do to a bid","How Shopee ads bidding works, derived: GMV Max gives you two boxes — a Target ROAS and a daily budget — and every guide treats them as two levers. They are not. Both collapse into a single threshold on value-to-cost before any bid is placed, only one is binding at a time, and the other is doing nothing at all. Here is the derivation, the three regimes a campaign can be in, and the one-line test that tells you which of your two levers is switched off.","2026-09-01",13,[210],"how-shopee-ads-bidding-works",{"title":470,"description":471,"category":352,"date":465,"readMinutes":472,"featured":336,"cover":334,"format":223,"platforms":473,"draft":336,"slug":474},"Break-even ROAS is the zero line: the Target ROAS that actually maximizes Shopee profit","Setting your Target ROAS to your break-even ROAS does not protect profit — it targets exactly zero, for every possible volume. The target that maximizes profit is break-even marked up three times: by the demand your ads did not create, by the price your own expansion pays, and by the gap between your average click and your last one. On mid-market parameters those compound to 3.3×, moving the correct target on a 20%-margin product from 5.00 to 16.67.",12,[210],"profit-maximizing-target-roas",{"title":476,"description":477,"category":361,"date":465,"readMinutes":466,"featured":336,"cover":334,"format":241,"platforms":478,"draft":336,"slug":479},"Shopee ad benchmarks 2026: what a click and a thousand impressions actually cost","Across 333.9 million Shopee impressions and 9.11 million clicks on 80+ Thai shops, the price of a click varies 2.01× by hour of day while the rate at which people click varies 1.14×. CPC ranges THB 3.36 to THB 6.75, CPM ranges THB 89.16 to THB 200.15, and every behavioural input is nearly flat. The full table, the methodology, and the two ways a benchmark like this gets misused.",[210],"shopee-ads-benchmarks-cpc-cpm",{"title":481,"description":482,"category":364,"date":483,"readMinutes":484,"featured":336,"cover":334,"format":229,"platforms":334,"draft":336,"slug":485},"DataGlass is not an OMS — what the difference is, and when to run both","An OMS makes the order happen. DataGlass decides what to do next. The daily-question boundary, an explicit list of what DataGlass does not do, and the one seam: price.","2026-08-25",6,"dataglass-vs-oms",{"title":487,"description":488,"category":352,"date":483,"readMinutes":415,"featured":336,"cover":334,"format":223,"platforms":489,"draft":336,"slug":490},"How much should you spend on Shopee Ads? Derive it from margin, not from feel","Break-even ROAS is 1 ÷ contribution margin ratio. Worked THB example: a fashion SKU allows THB 71 per attributed order and roughly THB 994 a day. Budget is an output.",[210],"shopee-ads-budget",{"title":492,"description":493,"category":347,"date":483,"readMinutes":415,"featured":336,"cover":334,"format":223,"platforms":494,"draft":336,"slug":495},"Losing money on Shopee — the leaks a fee calculator cannot see","Shopee deducts 7.49–17.12% plus a 3.21% payment fee — the half a calculator sees. Six month-level leaks turn a 28.6% \"profit\" into 1.6%. Sourced THB waterfall.",[210],"shopee-losing-money",{"title":497,"description":498,"category":358,"date":483,"readMinutes":415,"featured":336,"cover":334,"format":229,"platforms":499,"draft":336,"slug":500},"Shopee vs TikTok Shop vs Lazada — what survives after fees and the ads it takes to sell","TikTok Shop's 11.77% fashion commission becomes a 23.2% take rate once the Commerce Growth and Transaction Fees stack. The crossover with Shopee sits near THB 3,720.",[210,213,216],"where-to-sell-shopee-tiktok-lazada",{"title":502,"description":503,"category":352,"date":504,"readMinutes":376,"featured":336,"cover":334,"format":226,"platforms":334,"draft":336,"slug":505},"CTR and Target ROAS under CPM vs CPC: what changes when marketplaces bill for impressions","Under cost-per-click billing, a better creative is worth nothing to your unit economics — it buys the same clicks from fewer impressions, and your cost per click does not move. Under cost-per-impression billing the same improvement cuts the price of every click by g\u002F(1+g). Five lemmas on the transition, and why click-through rate is the input most marketplace sellers are least prepared to have priced.","2026-08-18","ctr-target-roas-cpm-vs-cpc",{"title":507,"description":508,"category":352,"date":509,"readMinutes":447,"featured":336,"cover":334,"format":226,"platforms":334,"draft":336,"slug":510},"What is ROAS — and why a high ROAS doesn't always mean more sales or more profit","ROAS (Return on Ad Spend) is sales ÷ ad spend: spend THB 1, get THB 20 of sales back, and your ROAS is 20. But a high ROAS only means a high return per ad baht — not the highest total sales, and not real profit once you subtract COGS, platform fees, payment fees, vouchers, shipping, and returns. Here is what ROAS is, what it hides, and the number sellers should actually watch.","2026-06-01","what-is-roas",{"title":512,"description":513,"category":352,"date":514,"readMinutes":459,"featured":336,"cover":334,"format":223,"platforms":515,"draft":336,"slug":516},"What is Target ROAS? How to set it in Shopee GMV Max without burning profit","What is Target ROAS? It is the revenue-to-ad-spend ratio Shopee GMV Max optimises toward — and on the Shopee fee schedule effective 4 August 2026, a THB 1,000 product with THB 600 of COGS is left with 7.7% margin before ads, so a Target ROAS of 5 recovers THB 0.39 of contribution per THB 1.00 of ad spend while the campaign reports that it hit its target. What Target ROAS means, how to set it in GMV Max, and the two formulas — break-even ROAS and target-margin ROAS — that protect your margin.","2026-05-30",[210],"how-to-set-target-roas-gmv-max",{"title":518,"description":519,"category":352,"date":520,"readMinutes":484,"featured":336,"cover":334,"format":226,"platforms":521,"draft":336,"slug":522},"Platform ROAS vs true ROAS: why your ads make sales but no profit","A ROAS of 5 feels like a win — until you notice the platform computed it on gross attributed sales, before fees, vouchers, shipping, and COGS, and while still counting orders that were later returned or cancelled. The dashboard number is a revenue ratio wearing a profit costume. A primer on what platform ROAS hides and how true ROAS is calculated across Shopee, Lazada, and TikTok Shop.","2026-05-29",[210,213,216],"platform-roas-vs-true-roas",{"title":524,"description":525,"category":361,"date":520,"readMinutes":484,"featured":336,"cover":334,"format":226,"platforms":526,"draft":336,"slug":527},"What is e-commerce optimization?","Optimization is not a marketing word — it is an operations-research discipline: use data and math to compute the best decision against an explicit objective. Point it at a Shopee, Lazada, or TikTok Shop store and the objective is true profit, not sales. A primer on why those two numbers stopped moving together, and what optimization actually answers.",[210,213,216],"what-is-ecommerce-optimization",{"title":529,"description":530,"category":347,"date":531,"readMinutes":376,"featured":336,"cover":334,"format":223,"platforms":532,"draft":336,"slug":533},"How to cut Shopee seller costs: the supply-side margin audit","The median gap between COGS refreshes on a top-50 Shopee catalogue is 87 days, and over that window supplier and packaging drift alone compresses contribution margin by 1.5–3.0 percentage points. The eight supply-side cost lines that compound against Shopee margin between audits, ranked by recoverable magnitude, with the review cadence that holds each one.","2026-05-08",[210],"how-to-increase-shopee-profit-without-more-sales",{"title":535,"description":536,"category":352,"date":531,"readMinutes":537,"featured":336,"cover":334,"format":223,"platforms":538,"draft":336,"slug":539},"How to sell more on Shopee without burning margin","The standard Shopee growth advice — discount harder, scale ad budget, opt into every campaign — works against the operator at scale. A research note on the lever order that actually compounds Shopee revenue, and the metric that tells you whether the lift was earned or bought.",11,[210],"how-to-sell-more-on-shopee",{"title":541,"description":542,"category":347,"date":543,"readMinutes":484,"featured":336,"cover":334,"format":223,"platforms":544,"draft":336,"slug":545},"Increase profit on Shopee without selling more","Shopee ROAS hides commission, fees, vouchers and shipping. Optimize Shopee profit with the per-SKU break-even framework that replaces it — 280 Thai accounts.","2026-05-07",[210],"increase-shopee-profit",{"title":547,"description":548,"category":358,"date":543,"readMinutes":484,"featured":336,"cover":334,"format":223,"platforms":549,"draft":336,"slug":550},"Increase sales on Shopee in 2026","Shopee CPC is climbing — buying demand got pricier while repeat demand stayed flat. The three levers that compound revenue, plus a 90-day operator cadence.",[210],"increase-shopee-sales",{"title":552,"description":553,"category":361,"date":543,"readMinutes":554,"featured":336,"cover":334,"format":235,"platforms":555,"draft":336,"slug":556},"Mechanism-Aware Hierarchical Causal Elasticity Modeling for Platform E-Commerce","A methodological working paper proposing MA-HCEM: a hierarchical Bayesian, double-machine-learning, mechanism-aware estimator for SKU-level price elasticity on Shopee, Lazada, and TikTok Shop, with Bundle Deal and voucher mechanisms treated as structured price discrimination.",27,[210,213,216],"mechanism-aware-hierarchical-causal-elasticity-modeling-platform-ecommerce",{"title":558,"description":559,"category":350,"date":543,"readMinutes":560,"featured":336,"cover":334,"format":226,"platforms":561,"draft":336,"slug":562},"Price elasticity modeling for marketplace sellers — why Shopee, Lazada, and TikTok Shop pricing decisions need it","A practical guide from DataGlass Labs Research on the most under-used lever in Southeast Asian e-commerce: knowing how customers actually respond to price changes.",14,[210,213,216],"price-elasticity-modeling-shopee-lazada-tiktok-shop",{"title":564,"description":565,"category":361,"date":566,"readMinutes":567,"featured":336,"cover":334,"format":235,"platforms":334,"draft":336,"slug":568},"From Gut Feel to Posterior Inference: A Research Article on the DataGlass Decision-Intelligence System for E-Commerce Ad Budget Allocation","A rigorous public communication of the DataGlass decision-intelligence system for daily ad-budget allocation on platform-controlled marketplaces — the pre-algorithmic baseline, the analytical reasons it fails (the reported-vs-true ROAS gap and the rolling-mean bias), the Bayesian + bandits-with-knapsacks methodology, and the empirical 18–24% portfolio-profit lift with reduced reallocation frequency.","2026-05-04",20,"bayesian-budget-allocation-for-marketplace-ads",{"title":570,"description":571,"category":361,"date":566,"readMinutes":572,"featured":336,"cover":334,"format":238,"platforms":334,"draft":336,"slug":573},"Decision Intelligence for E-commerce: How Retailers Optimise Pricing, Demand Forecasting, Inventory, Promotions & Personalization","Pricing, forecasting, inventory, promotions, and personalization — a deep technical survey of the techniques large retailers use, the variants that matter, and how to deploy them",42,"decision-intelligence-playbook-for-e-commerce",{"title":575,"description":576,"category":361,"date":566,"readMinutes":332,"featured":336,"cover":334,"format":226,"platforms":334,"draft":336,"slug":577},"DataGlass Research Methodology","A single canonical reference for the sample frame, time window, attribution rules, and exclusions that calibrate every \"in our data\" claim across the blog and research surfaces.","methodology",{"title":579,"description":580,"category":361,"date":566,"readMinutes":581,"featured":336,"cover":334,"format":238,"platforms":334,"draft":336,"slug":582},"Prediction and Risk Optimization Under Uncertainty: A Cross-Domain Meta-Review","Mature decision systems in finance, operations, insurance, energy, healthcare, causal inference, and e-commerce share the same four primitives — a calibrated probabilistic model, a coherent risk-aware objective, an operational constraint set, and a principled exploration mechanism. Eleven worked cases ground the framework, with the DataGlass marketplace ad-budget system as the connecting tissue.",49,"prediction-and-risk-optimization-meta-review",{"title":584,"description":585,"category":355,"date":566,"readMinutes":560,"featured":336,"cover":334,"format":226,"platforms":586,"draft":336,"slug":587},"Shopee optimization in 2026 is a feedback loop, not a checklist","The popular \"10 ways to optimize your Shopee shop\" advice optimises the wrong objective. The lever that actually moves margin is the tightness of the diagnose → decide → operate loop — and most checklists skip the diagnose stage entirely.",[210],"shopee-optimization-in-2026",{"title":589,"description":590,"category":358,"date":566,"readMinutes":591,"featured":134,"cover":334,"format":241,"platforms":592,"draft":336,"slug":593},"Shopee Sellers in 2026: Southeast Asia E-commerce Market Research, GMV & Seller Economics","Market growth has resumed; seller economics have become more exacting. Southeast Asia's platform e-commerce reached US$157.6B in 2025 (up 22.8% YoY), top-three platforms now control about 98.8% of platform GMV, and content commerce accounts for ~32% of platform GMV. The 2026 question for sellers is no longer \"how big is the market?\" — it is \"who controls the decision loop?\"",22,[210],"southeast-asia-seller-market-research-2026",{"title":595,"description":596,"category":355,"date":597,"readMinutes":598,"featured":336,"cover":334,"format":223,"platforms":599,"draft":336,"slug":600},"Shopee fee structure and commission calculation in 2026: the six layers, the four-term formula","Most 'Shopee fees' explainers stop at commission and transaction fee. The four layers underneath — voucher co-funding, Free Shipping Program subsidy, Mall premium, payment-channel pass-through — are where the gap between dashboard revenue and bank deposit actually lives. With a sourced layer-by-layer breakdown, the four-term commission-per-order formula, two worked THB examples, a sensitivity table, and the reconciliation procedure.","2026-05-03",18,[210],"shopee-fee-structure-2026",{"title":602,"description":603,"category":352,"date":604,"readMinutes":537,"featured":336,"cover":334,"format":223,"platforms":605,"draft":336,"slug":606},"Cross-platform ad budget allocation for SEA marketplace sellers","Most multi-platform sellers split ad budget across Shopee, Lazada, and TikTok Shop by historical revenue share. The math says that's wrong. Optimal allocation equalises marginal ROAS, not historical share — and the gap between the two on a typical account is 4–7 percentage points of net contribution margin per quarter.","2026-04-29",[210,213,216],"cross-platform-ad-budget-allocation",{"title":608,"description":609,"category":352,"date":610,"readMinutes":415,"featured":336,"cover":334,"format":223,"platforms":611,"draft":336,"slug":612},"Why scaling Shopee ad budget grows revenue and shrinks profit","A Shopee account moving its monthly ad budget from THB 40,000 to THB 100,000 commonly grows revenue 60% and loses a third of its net profit — and not one decision in that sequence looks wrong on the dashboard. The arithmetic of the scaling trap, why platform-reported ROAS is blind to it by construction, and the per-SKU break-even bar that stops it.","2026-04-22",[210],"how-to-increase-profit-on-shopee",{"title":614,"description":615,"category":347,"date":616,"readMinutes":466,"featured":336,"cover":334,"format":223,"platforms":617,"draft":336,"slug":618},"How to increase profit on Lazada in 2026","The LazMall badge lifts conversion. It also raises commission, mandates free-shipping subsidies, and pulls the price ceiling down through the platform's own competitive-parity rules. Whether the badge pays is a per-SKU question. A research note on the LazMall economics, why Sponsored Discovery leaks more margin than Sponsored Search, and the audit that recovers 4–6 percentage points of margin in 30 days.","2026-04-15",[213],"how-to-increase-profit-on-lazada",{"title":620,"description":621,"category":352,"date":622,"readMinutes":466,"featured":336,"cover":334,"format":223,"platforms":623,"draft":336,"slug":624},"How to reduce Shopee ad waste without killing sales","On a typical Shopee account, 20–30% of ad spend runs at a structural loss the platform dashboard ranks as winning campaigns. Pausing \"underperformers\" misses the leak. A research note on the two structural defaults that cause hidden ad waste — and the audit that surfaces it without losing revenue.","2026-04-08",[210],"how-to-reduce-shopee-ad-waste",{"title":626,"description":627,"category":347,"date":628,"readMinutes":537,"featured":336,"cover":334,"format":223,"platforms":629,"draft":336,"slug":630},"How to calculate Shopee seller margin","The math, the inputs, and the program-specific traps. Why Shopee's in-dashboard income view almost always overstates margin — and how to reconstruct true contribution margin per SKU using the order-line data Shopee already exposes via Open Platform.","2026-04-05",[210],"how-to-calculate-shopee-seller-margin",{"title":632,"description":633,"category":347,"date":634,"readMinutes":537,"featured":336,"cover":334,"format":223,"platforms":635,"draft":336,"slug":636},"How to calculate Lazada seller margin","The math, the inputs, and the program-specific traps. Why Lazada's in-platform P&L summary almost always overstates margin — and how to reconstruct true contribution margin per SKU using the order-line data Lazada exposes via the Open Platform.","2026-04-01",[213],"how-to-calculate-lazada-seller-margin",{"title":638,"description":639,"category":352,"date":640,"readMinutes":560,"featured":336,"cover":334,"format":223,"platforms":641,"draft":336,"slug":642},"How to calculate true Shopee ROAS for profit","A methodology note. Shopee's in-platform ROAS is gross-revenue based and structurally biased toward overspend at scale. True ROAS is the same formula with one input substituted — and that substitution flips winners into losses on roughly half the typical Shopee catalog. With charts, three SKU profiles, sensitivity analysis, and the operating procedure that applies the substitution at production cadence.","2026-03-25",[210],"how-to-calculate-true-shopee-roas",{"title":644,"description":645,"category":352,"date":646,"readMinutes":537,"featured":336,"cover":334,"format":223,"platforms":647,"draft":336,"slug":648},"How to reduce Lazada ad waste","Lazada runs two structurally different ad products — Sponsored Search and Sponsored Discovery — with break-even economics that diverge by ~1.4–1.8× in true-ROAS terms. A single account-wide ROAS target misjudges both. A research note on the audit that surfaces the structural waste, the pruning order that recovers margin without losing revenue, and the per-placement framework that survives Pay Day and 11.11.","2026-03-18",[213],"how-to-reduce-lazada-ad-waste",{"title":650,"description":651,"category":347,"date":652,"readMinutes":466,"featured":336,"cover":334,"format":223,"platforms":653,"draft":336,"slug":654},"How to find low-margin SKUs on Shopee","On a typical Shopee account, the top-10 SKUs by revenue and the top-10 by contribution profit overlap by roughly 50%. Half of every shop's bestsellers are not the most profitable products. A research note on the audit that surfaces the gap, the patterns hiding inside it, and the per-SKU operating decisions that recover margin.","2026-03-12",[210],"how-to-find-low-margin-skus-on-shopee",{"title":656,"description":657,"category":350,"date":658,"readMinutes":560,"featured":336,"cover":334,"format":223,"platforms":659,"draft":336,"slug":660},"How to plan Lazada campaigns around profit","Pay Day, Mega Sale, 11.11, and the long tail of category windows make participation feel mandatory. The platform documents the eligibility tiers; the seller absorbs them. A research note on what each campaign actually costs, when participation pays, and the margin-first rubric that survives all three.","2026-03-04",[213],"how-to-plan-lazada-campaigns-around-profit",{"title":662,"description":663,"category":347,"date":664,"readMinutes":472,"featured":336,"cover":334,"format":223,"platforms":665,"draft":336,"slug":666},"How to increase profit on TikTok Shop in 2026","TikTok Shop is the only SEA marketplace with a stacked second commission — affiliate commission (10–25% via the Open Affiliate Plan) layered on top of platform commission. A 6.0 platform ROAS routinely becomes ~1.4 true ROAS once the full four-line cost stack is subtracted. A research note on the affiliate-stack arithmetic, live-stream pricing discipline, and the per-SKU framework that recovers margin without retreating from the platform.","2026-02-26",[216],"how-to-increase-profit-on-tiktok-shop",{"title":668,"description":669,"category":358,"date":670,"readMinutes":671,"featured":336,"cover":334,"format":226,"platforms":334,"draft":336,"slug":672},"The SEA marketplace in 2026: a fragmented arena with one survival rule","Eighteen distinct platform-market cells, six countries, three platforms, and roughly a million sellers competing on a saturated product surface. The aggregate is growing; the per-cell margin distribution is compressing. A research note on the structural shifts and the operating rule that survives them.","2026-02-22",16,"sea-marketplace-2026",{"title":674,"description":675,"category":361,"date":676,"readMinutes":537,"featured":336,"cover":334,"format":226,"platforms":677,"draft":336,"slug":678},"Data ingestion for Shopee sellers: why zero-setup analytics matters","Most Shopee sellers don't have a strategy problem first. They have a data plumbing problem — orders, ads, COGS, fees, vouchers, inventory, pricing, and returns live in seven different surfaces, and by the time the seller has stitched them together the campaign is over. A research note on the data-source matrix, the canonical-entity model, and the zero-setup architecture that recovers ~10 hours per week.","2026-02-18",[210],"data-ingestion-for-shopee-sellers",{"title":680,"description":681,"category":358,"date":682,"readMinutes":415,"featured":336,"cover":334,"format":226,"platforms":683,"draft":336,"slug":684},"The race to zero margin — and how Shopee, Lazada, and TikTok Shop got there","Read the platform documentation end-to-end and the conclusion is uncomfortable: the discounts buyers see, the free shipping that drives conversion, and the affiliate spend that drives reach are all paid by the seller. The race-to-zero is the equilibrium output of that design.","2026-02-08",[210,213,216],"race-to-zero-margin",{"title":686,"description":687,"category":361,"date":688,"readMinutes":560,"featured":336,"cover":334,"format":226,"platforms":334,"draft":336,"slug":689},"ML demand forecasting for e-commerce sellers","Machine learning in e-commerce gets discussed in vague terms; for marketplace sellers the operating question is concrete — how many units of this SKU will sell in the next N days, with what confidence, and what decision flows from the answer? A research note on the practical model architecture, the stockout-distortion problem, sensitivity analysis, and the operating decisions forecasts feed.","2026-02-04","ml-demand-forecasting-for-ecommerce",{"title":691,"description":692,"category":358,"date":693,"readMinutes":484,"featured":336,"cover":334,"format":226,"platforms":334,"draft":336,"slug":694},"Complexity is the new tax on small sellers","A multi-shop seller in 2026 logs into seven platforms, reconciles four fee schedules, exports six CSVs, and re-enters COGS by hand. Big brands absorb the cost with a data team. Small sellers absorb it with their evenings — and it's the single biggest reason multi-shop operators stall before they reach scale.","2026-01-25","complexity-is-the-tax",{"title":696,"description":697,"category":355,"date":698,"readMinutes":472,"featured":336,"cover":334,"format":226,"platforms":334,"draft":336,"slug":699},"Stockout math for e-commerce sellers","A stockout is not one cost; it is five compounding costs. Lost contribution profit on the missed unit, plus wasted ad spend during the stockout window, plus algorithmic ranking demotion, plus repeat-buyer trust erosion, plus distorted forecasting that increases the likelihood of the next stockout. A research note on the multi-line stockout cost function, the per-SKU reorder-point math that accounts for it, and the campaign-aware adjustment that survives Pay Day and 11.11.","2026-01-18","inventory-stockout-math-ecommerce",{"title":701,"description":702,"category":350,"date":703,"readMinutes":537,"featured":336,"cover":334,"format":226,"platforms":334,"draft":336,"slug":704},"Dynamic pricing for marketplace sellers","Discounting is easy. Profitable pricing is hard. A 30% volume lift on a 10% price cut routinely lowers total contribution profit — the math says volume must lift by ~33% just to break even, and most SKUs underperform that bar. A research note on the price-elasticity arithmetic, the inventory × demand four-quadrant framework, and the per-SKU pricing decision that survives campaign-window pressure.","2026-01-04","dynamic-pricing-ecommerce-marketplaces",{"title":706,"description":707,"category":361,"date":708,"readMinutes":472,"featured":336,"cover":334,"format":226,"platforms":334,"draft":336,"slug":709},"E-commerce Decision Engine: How Marketplace Sellers Turn Data Into Profit Recommendations","A dashboard tells you what happened. A decision engine tells you what to do next, ranks the options by projected profit lift, and surfaces the math behind every recommendation. A research note on the five-layer architecture that separates the two, why marketplace commerce now requires the latter, and where the operating model breaks.","2025-12-12","how-ecommerce-decision-engines-work",{"title":711,"description":712,"category":355,"date":713,"readMinutes":459,"featured":336,"cover":334,"format":226,"platforms":714,"draft":336,"slug":715},"Multi-shop analytics for Shopee, Lazada, and TikTok Shop sellers","Modern marketplace sellers rarely operate on one channel. They have multiple dashboards but not one operating view. They know sales by channel — but not profit by channel.","2025-11-26",[210,213,216],"multi-shop-analytics-lazada-shopee-tiktok",{"title":717,"description":718,"category":358,"date":719,"readMinutes":720,"featured":336,"cover":334,"format":226,"platforms":334,"draft":336,"slug":721},"The new competitive world of commerce","A research note on what changed in marketplace commerce between 2022 and 2026. Platforms became active algorithmic counterparties; sellers who treat them as passive listing markets are competing against optimization systems they cannot see. The fix is to run your own optimization layer on top.","2025-11-12",15,"new-competitive-world-of-commerce",{"entry":723,"document":762,"toc":1482},{"id":724,"title":668,"category":358,"cover":334,"cta":334,"date":670,"description":669,"draft":336,"draftReason":334,"extension":337,"featured":336,"format":226,"listen":334,"math":336,"meta":725,"navigation":334,"ogImage":334,"path":726,"platforms":334,"readMinutes":671,"related":727,"robots":334,"schemaOrg":334,"seo":728,"sitemap":731,"sources":732,"stem":753,"tldr":754,"topic":334,"updatedAt":483,"__hash__":761},"blog_en\u002Fblog\u002Fsea-marketplace-2026.md",{},"\u002Fblog\u002Fsea-marketplace-2026",[593,612,618],{"title":729,"description":730},"The SEA Marketplace in 2026 — A Fragmented Arena | DataGlass","A grounded read of Southeast Asian e-commerce in 2026 covers Bain projections, fragmentation across six countries and three platforms, and one operating rule.",{"loc":726,"lastmod":483},[733,737,741,745,749],{"title":734,"url":735,"note":736},"Google, Temasek & Bain — e-Conomy SEA 2025","https:\u002F\u002Fwww.temasek.com.sg\u002Fen\u002Fnews-and-resources\u002Fnews-room\u002Fnews\u002F2025\u002Fe-conomy-sea-2025-report-aseans-digital-economy-poised-to-surpass-300-billion","Headline regional GMV and revenue projections for SEA digital economy and e-commerce in 2025; video commerce share figures.",{"title":738,"url":739,"note":740},"Google, Temasek & Bain — e-Conomy SEA 2025 commentary","https:\u002F\u002Fwww.bain.com\u002Finsights\u002Fe-conomy-sea-2025\u002F","Bain analyst commentary on retail-media inflation and video-commerce share growth across the SEA-6.",{"title":742,"url":743,"note":744},"Sea Limited — Investor Relations","https:\u002F\u002Fwww.sea.com\u002Finvestor\u002Fhome","Sea Limited disclosures on Shopee's pan-regional positioning across Southeast Asia and Taiwan, plus core e-commerce segment performance.",{"title":746,"url":747,"note":748},"Reuters — Sea operating expenses tied to AI investment (3 March 2026)","https:\u002F\u002Fwww.reuters.com\u002Fworld\u002Fasia-pacific\u002Fsea-shares-tumble-high-costs-slower-annual-gmv-growth-forecast-bite-2026-03-03\u002F","Reuters reporting that Sea's operating costs rose materially due to AI investment in search, recommendations, and advertising — context for platform-side cost inflation.",{"title":750,"url":751,"note":752},"Reuters — Google + Sea AI partnership (19 February 2026)","https:\u002F\u002Fwww.reuters.com\u002Fworld\u002Fasia-pacific\u002Fgoogle-shopee-owner-sea-develop-ai-tools-e-commerce-gaming-2026-02-19\u002F","Reuters announcement of the Google–Sea partnership to develop AI tools for e-commerce, including an agentic shopping prototype for Shopee.","blog\u002Fsea-marketplace-2026",[755,756,757,758,759,760],"Thesis: in an arena fragmented across 18 platform-market cells, sellers who run a single account-level operating view lose; sellers who run per-cell economics keep margin. The fragmentation is the moat.","Per the Bain e-Conomy SEA 2025 report, regional digital-economy GMV is on track to pass US$300B in 2025; e-commerce alone is ~US$185B GMV, ~US$41B revenue, with video commerce now ~25% of regional e-commerce GMV.","Three structural shifts in the last 24 months changed the seller-side math: ad auctions matured (bid pressure is now the largest variable cost), promotions shifted from platform-funded to seller-funded (per the platforms' own documentation), and cross-platform price arbitrage closed.","In our data, scaling the same SKU mix from THB 200K to 800K monthly GMV typically grows revenue 4× and net contribution profit 1.4× — the units sold during the scale-up clear at materially lower margin per unit, and the gap is structural, not operational.","Limitation: this analysis applies to accounts in the THB 200K–50M monthly revenue range modelling Thai SEA-6 economics. Larger sellers with negotiated fee structures and cross-border sellers face different stacks not captured here.","The survival rule that crosses every cell of the matrix: run the business on contribution margin per SKU per channel per market, not GMV. The cells are not averagable; the operating layer that wins models all 18 at once.","eLP3Q9f1BA96ZyANYsj1IGoFslpB--f8uqhgCGa4Jf0",{"frontmatter":763,"meta":773,"nodes":810},{"title":668,"description":669,"seo":764,"category":358,"format":226,"date":670,"updatedAt":483,"readMinutes":671,"tldr":765,"related":766,"sources":767},{"title":729,"description":730},[755,756,757,758,759,760],[593,612,618],[768,769,770,771,772],{"title":734,"url":735,"note":736},{"title":738,"url":739,"note":740},{"title":742,"url":743,"note":744},{"title":746,"url":747,"note":748},{"title":750,"url":751,"note":752},{"toc":774},{"title":331,"searchDepth":386,"depth":386,"links":775},[776,779,792,795,798,801,804,807],{"id":777,"depth":386,"text":778},"the-2026-baseline","The 2026 baseline",{"id":780,"depth":386,"text":781,"children":782},"three-structural-shifts","Three structural shifts",[783,786,789],{"id":784,"depth":332,"text":785},"three-structural-shifts-_1-ad-auctions-matured","1. Ad auctions matured.",{"id":787,"depth":332,"text":788},"three-structural-shifts-_2-platform-funded-promotions-became-seller-funded","2. Platform-funded promotions became seller-funded.",{"id":790,"depth":332,"text":791},"three-structural-shifts-_3-cross-platform-arbitrage-closed","3. Cross-platform arbitrage closed.",{"id":793,"depth":386,"text":794},"the-platform-market-matrix","The platform-market matrix",{"id":796,"depth":386,"text":797},"three-worked-examples","Three worked examples",{"id":799,"depth":386,"text":800},"sensitivity-where-the-conclusion-changes","Sensitivity — where the conclusion changes",{"id":802,"depth":386,"text":803},"the-survival-rule-applied-to-the-matrix","The survival rule, applied to the matrix",{"id":805,"depth":386,"text":806},"limitations-and-where-this-argument-breaks","Limitations and where this argument breaks",{"id":808,"depth":386,"text":809},"methodology-the-numbers-behind-the-in-our-data-claims","Methodology — the numbers behind the \"in our data\" claims",[811,826,829,832,836,839,842,849,855,978,983,989,991,994,997,1007,1010,1012,1021,1024,1026,1029,1031,1034,1039,1225,1230,1233,1235,1238,1248,1254,1260,1263,1265,1268,1273,1363,1368,1371,1379,1381,1384,1406,1409,1411,1414,1434,1436,1466,1474,1477],[812,813,814,815,819,820,822,823,825],"p",{},"The Google–Temasek–Bain e-Conomy SEA 2025 report, published in October 2025, projects Southeast Asia's digital economy to surpass US$300 billion in gross merchandise value by year-end ",[816,817],"blog-cite",{"n":818},"1",". Inside that aggregate, e-commerce alone is on track for roughly US$185 billion GMV and US$41 billion in revenue ",[816,821],{"n":818},". Across the same period, video commerce — a category Bain defines to include live-stream selling, creator-driven content commerce, and short-form video shopping — has grown to account for approximately 25% of regional e-commerce GMV, a share that did not exist in 2020 and was below 10% as recently as 2022 ",[816,824],{"n":818},":blog-cite.",[812,827,828],{},"The macro trajectory is unambiguous. The seller-side picture is the opposite. The same period that produced regional GMV growth produced systematic margin compression at the operator level, driven not by individual seller mistakes but by structural shifts in how the platforms allocate visibility, price impressions, and split discount funding. This note documents those shifts, the per-platform-per-market matrix they produce, and the operating rule that — across every cell of the matrix — separates sellers who hold contribution margin from sellers who do not.",[812,830,831],{},"The argument is empirical where it can be (citing the Bain report, Sea Limited's 4Q25 and 1Q26 investor disclosures, Alibaba's SEA segment filings, and the platforms' own seller-facing documentation) and acknowledged where it cannot be (the per-account margin distribution we describe is drawn from accounts we model directly; the methodology section at the end of this note describes the sample and its bounds). What follows is not a marketing post on competition. It is a research note on what changed in the SEA marketplace from 2022 to 2026, why the change is structural rather than cyclical, and what an operating layer that survives it actually does at the SKU level.",[833,834],"blog-pullquote",{"text":835},"There is no SEA marketplace playbook. There are eighteen — three platforms × six markets — and the operating layer that wins models all of them at once.",[812,837,838],{},"Thesis: in an arena now fragmented across eighteen distinct platform-market cells (three dominant platforms — Shopee, Lazada, TikTok Shop — across the six SEA-6 markets of Indonesia, Thailand, Vietnam, the Philippines, Malaysia, and Singapore), sellers who run a single account-level operating view lose; sellers who run per-cell economics keep margin. The fragmentation is not a bug to be normalized away. It is the moat. The seller who can model all 18 cells at once compounds an advantage that is hard to copy precisely because it is administratively expensive — the same characteristic that prevents naive consolidation is the characteristic that makes the moat durable.",[840,841,778],"h2",{"id":777},[812,843,844,845,848],{},"Five years ago, the e-Conomy SEA reports treated the region as a growth story whose primary explanatory variable was internet penetration. By 2025, that variable is largely solved. Per the Bain report, internet penetration across the SEA-6 averages above 80% ",[816,846],{"n":847},"2",", and the marginal e-commerce buyer is no longer the new internet user. The variable has shifted to share-of-wallet and frequency, both of which are now determined by a different set of mechanics: platform recommendation systems that govern visibility on a saturated product surface, live-commerce momentum, creator-affiliate match-up, and the ad-auction prices that sellers themselves bid up by competing for the same impressions.",[812,850,851],{},[852,853,854],"em",{},"SEA-6 e-commerce snapshot, 2024–2025 (approximate)",[856,857,858,879],"table",{},[859,860,861],"thead",{},[862,863,864,867,870,873,876],"tr",{},[865,866,359],"th",{},[865,868,869],{},"E-commerce GMV",[865,871,872],{},"E-comm % of digital economy",[865,874,875],{},"Video-commerce share",[865,877,878],{},"Dominant platform",[880,881,882,899,915,931,946,961],"tbody",{},[862,883,884,888,891,894,897],{},[885,886,887],"td",{},"Indonesia",[885,889,890],{},"~US$80B",[885,892,893],{},"High",[885,895,896],{},"~30%",[885,898,211],{},[862,900,901,904,907,910,913],{},[885,902,903],{},"Vietnam",[885,905,906],{},"~US$24B",[885,908,909],{},"Mid–High",[885,911,912],{},"~22%",[885,914,211],{},[862,916,917,920,923,926,929],{},[885,918,919],{},"Thailand",[885,921,922],{},"~US$22B",[885,924,925],{},"Mid",[885,927,928],{},"~20%",[885,930,211],{},[862,932,933,936,939,941,944],{},[885,934,935],{},"Philippines",[885,937,938],{},"~US$15B",[885,940,925],{},[885,942,943],{},"~18%",[885,945,211],{},[862,947,948,951,954,956,959],{},[885,949,950],{},"Malaysia",[885,952,953],{},"~US$12B",[885,955,925],{},[885,957,958],{},"~15%",[885,960,211],{},[862,962,963,966,969,972,975],{},[885,964,965],{},"Singapore",[885,967,968],{},"~US$8B",[885,970,971],{},"Low (per-capita high)",[885,973,974],{},"~12%",[885,976,977],{},"Mixed (Shopee \u002F Lazada \u002F TikTok)",[812,979,980],{},[852,981,982],{},"Figures rounded to the nearest US$ billion and reflect 2024 GMV with 2025 trajectory; sourced from the Bain e-Conomy SEA 2025 commentary and Alibaba \u002F Sea segment disclosures. \"Video-commerce share\" is the Bain-defined share of e-commerce GMV moving through live, short-form, and creator-driven surfaces.",[812,984,985,986,988],{},"Read carefully, the table above is not a story of uniform regional growth. Indonesia and Vietnam carry the regional volume; Singapore and Malaysia have higher per-capita GMV but a smaller absolute footprint. Video-commerce share is not uniform — Indonesia and Vietnam sit at 25–30%; Singapore and Malaysia are below 20% ",[816,987],{"n":847},". Shopee is the dominant platform across five of the six markets, but the gap to the second-largest platform varies meaningfully (Lazada is materially closer to Shopee in Singapore and Malaysia than in Indonesia or Vietnam). A seller building a SEA strategy from the regional aggregate is averaging across markets that, by 2026, are no longer averagable — different penetration curves, different live-commerce maturity, different consumer-spending profiles, different ad-auction densities.",[840,990,781],{"id":780},[812,992,993],{},"The growth-to-margin-compression transition is the cumulative output of three concurrent shifts in how the platforms operate. Each shift is documented in the platforms' own filings or seller-facing documentation; none is a matter of opinion. The shifts compound, and the compounding is the operating-side story.",[995,996,785],"h3",{"id":784},[812,998,999,1000,1002,1003,1006],{},"Bain's 2025 commentary identifies retail media as one of the two channels (alongside video commerce) reshaping marketplace discovery ",[816,1001],{"n":847},". On the platform side, Sea Limited's 4Q25 and 1Q26 investor disclosures — and the Reuters reporting that followed on 3 March 2026 — document that Sea's operating expenses rose materially during 2025 as the company invested in AI infrastructure for search relevance, recommendations, and advertising auction optimization ",[816,1004],{"n":1005},"3",":blog-cite. The seller-side translation is direct. In 2022, a Shopee account in Thailand could maintain meaningful organic flywheel with ad spend below 6% of revenue, because the auction was thin and the recommendation system had not yet been tuned for monetisation density. By 2026, the same impression share typically requires 12–18% of revenue on ads. The shift is not cyclical — it reflects an active platform investment in monetising every available impression, and the operating direction is one-way.",[812,1008,1009],{},"A second-order effect compounds the first. Shopee's default ad targeting allows broad-match keyword expansion, in which the platform automatically surfaces a campaign for related queries the seller did not bid on. Broad-match expansion captures a meaningful share of low-intent traffic — informational queries, comparison-shopping queries, queries for substitute products — and the attributed orders convert at materially lower true-ROAS than exact-match keywords the seller chose deliberately. The platform's relevance model gets better at expanding; the seller's cost-per-acquired-sale rises with it. Lazada's Sponsored Discovery product and TikTok Shop's feed-based ad placements exhibit the same dynamic in different forms.",[995,1011,788],{"id":787},[812,1013,1014,1015,1020],{},"Shopee's Help Center, in the seller voucher mechanics article published at ",[1016,1017,1019],"a",{"href":1018},"http:\u002F\u002Fhelp.shopee.co.th","help.shopee.co.th",", makes the funding source explicit: \"When a buyer redeems a Shop Voucher, the discount amount is deducted from your sales as a marketing cost.\" Lazada's Open Platform documentation distinguishes between platform-funded and seller-funded promotions and notes that the Free Shipping Logo program requires the seller to opt in to bear part of the shipping cost in exchange for the badge's ranking signal. TikTok Shop's Seller University documents Affiliate Plan commissions in the 1–80% range (seller-set per SKU), with the Open Affiliate Plan defaulting to 10–25% on most categories — a commission that stacks on top of the 1–5% platform commission, before any seller-funded voucher applies.",[812,1022,1023],{},"Read these documents end to end and the conclusion is uncomfortable. The discounts buyers see, the free shipping that drives conversion, and the affiliate spend that drives reach are, by documented design, paid by the seller. The platform's role is increasingly an auction house — it allocates impressions; the seller funds the inventory of attention. This is not a complaint or a policy critique. It is the operating fact that the contribution-margin reconstruction has to account for, and it is the fact most platform-side dashboards do not display.",[995,1025,791],{"id":790},[812,1027,1028],{},"In 2018, a savvy multi-shop operator could exploit a price gap between Shopee and Lazada for several days, sometimes longer. The arbitrage was meaningful, durable, and required only attention. By 2026 it has effectively closed. Three changes drove the closure. First, buyers comparison-shop across all three platforms in seconds, often through TikTok Shop's in-feed surface that displays competitor prices alongside the in-feed product. Second, third-party automation that mirrors competitor prices is widely deployed by competing sellers; price gaps surface within minutes and are mirrored back within hours. Third, the platforms themselves have rolled out competitive-parity rules on their highest-tier programs (LazMall, Shopee Mall) that explicitly police downward against off-platform price points. What remains is not cross-platform price arbitrage. It is operational arbitrage — the gap between the seller who knows per-SKU per-channel contribution margin and the seller who watches GMV.",[840,1030,794],{"id":793},[812,1032,1033],{},"Each cell of the resulting 18-cell matrix has its own commission schedule, its own program-specific fees, its own holiday-calendar voucher mechanics, and its own dominant ad-auction product. The table below captures three platforms across three representative SEA-6 markets — Thailand, Indonesia, and Vietnam — to illustrate the structural difference between cells. The Singapore, Malaysia, and Philippines cells are similar in shape but differ in absolute fee level and in voucher-tier escalation cadence.",[812,1035,1036],{},[852,1037,1038],{},"Commission and fee structure across three platforms × three markets, mid-2026",[856,1040,1041,1063],{},[859,1042,1043],{},[862,1044,1045,1048,1051,1054,1057,1060],{},[865,1046,1047],{},"Platform \u002F Market",[865,1049,1050],{},"Standard commission",[865,1052,1053],{},"Mall \u002F premium tier",[865,1055,1056],{},"Transaction fee",[865,1058,1059],{},"Affiliate \u002F creator commission",[865,1061,1062],{},"Free-shipping cost-share",[880,1064,1065,1085,1105,1121,1141,1159,1175,1195,1210],{},[862,1066,1067,1070,1073,1076,1079,1082],{},[885,1068,1069],{},"Shopee TH",[885,1071,1072],{},"7.49–17.12% by category (VAT-incl., eff. 4 Aug 2026)",[885,1074,1075],{},"+0–3.21 pp Mall, up to 19.26%",[885,1077,1078],{},"3.21% + THB 1\u002Forder",[885,1080,1081],{},"n\u002Fa (not core surface)",[885,1083,1084],{},"Seller opt-in, ~2–4% effective",[862,1086,1087,1090,1093,1096,1099,1102],{},[885,1088,1089],{},"Shopee ID",[885,1091,1092],{},"Not re-verified for 2026 — see Shopee ID fee policy",[885,1094,1095],{},"Mall premium applies",[885,1097,1098],{},"Not re-verified",[885,1100,1101],{},"n\u002Fa",[885,1103,1104],{},"Seller opt-in, ~3–5% effective",[862,1106,1107,1110,1113,1115,1117,1119],{},[885,1108,1109],{},"Shopee VN",[885,1111,1112],{},"Not re-verified for 2026 — see Shopee VN fee policy",[885,1114,1095],{},[885,1116,1098],{},[885,1118,1101],{},[885,1120,1084],{},[862,1122,1123,1126,1129,1132,1135,1138],{},[885,1124,1125],{},"Lazada TH",[885,1127,1128],{},"5.5–16% by cluster, before VAT (eff. 1 Aug 2026)",[885,1130,1131],{},"+0–2.5 pp LazMall, up to 17.5%",[885,1133,1134],{},"3.21%",[885,1136,1137],{},"Limited creator program",[885,1139,1140],{},"Mall: mandatory ~3–5%; non-Mall: opt-in ~1–3%",[862,1142,1143,1146,1149,1152,1154,1156],{},[885,1144,1145],{},"Lazada ID",[885,1147,1148],{},"Not re-verified for 2026",[885,1150,1151],{},"+4–6 pp LazMall",[885,1153,1098],{},[885,1155,1137],{},[885,1157,1158],{},"Similar to TH",[862,1160,1161,1164,1166,1169,1171,1173],{},[885,1162,1163],{},"Lazada VN",[885,1165,1148],{},[885,1167,1168],{},"+3–5 pp LazMall",[885,1170,1098],{},[885,1172,1137],{},[885,1174,1158],{},[862,1176,1177,1180,1183,1186,1189,1192],{},[885,1178,1179],{},"TikTok Shop TH",[885,1181,1182],{},"6.42–11.77% by category (VAT-incl., eff. 5 Jul 2026)",[885,1184,1185],{},"Mall 5.35–13.91%",[885,1187,1188],{},"3.21% + 6.96–8.03% growth fee",[885,1190,1191],{},"10–25% Open Plan default",[885,1193,1194],{},"Platform-funded baseline + seller voucher",[862,1196,1197,1200,1202,1204,1206,1208],{},[885,1198,1199],{},"TikTok Shop ID",[885,1201,1148],{},[885,1203,1101],{},[885,1205,1098],{},[885,1207,1191],{},[885,1209,1194],{},[862,1211,1212,1215,1217,1219,1221,1223],{},[885,1213,1214],{},"TikTok Shop VN",[885,1216,1148],{},[885,1218,1101],{},[885,1220,1098],{},[885,1222,1191],{},[885,1224,1194],{},[812,1226,1227],{},[852,1228,1229],{},"The three Thailand rows are exact, transcribed from each platform's own current schedule — Shopee effective 4 August 2026, Lazada 1 August 2026, TikTok Shop 5 July 2026 — via the DataGlass Marketplace Fee Dataset. Each is shown as its platform publishes it: Shopee and TikTok Shop quote VAT-inclusive, Lazada quotes VAT-exclusive, so the columns are not directly comparable without grossing Lazada up by 7%. The Indonesia and Vietnam rows have not been re-verified against those markets' 2026 schedules and should be read as indicative only. Negotiated fee structures for top-tier accounts are not captured here. The \"affiliate \u002F creator commission\" column reflects the dominant external commission layer on each platform; Shopee and Lazada have launched creator programs but they are not (yet) the core monetisation surface.",[812,1231,1232],{},"The structural difference between cells is not a rounding error. A Thai seller comparing Shopee Mall against TikTok Shop on the same SKU is comparing one cost stack (Shopee commission ~6% + Mall premium ~5% + transaction fee ~2% + voucher subsidy ~5–8% during campaigns) against a fundamentally different stack (TikTok platform commission ~3% + Open Plan affiliate commission ~20% on affiliate-tagged orders + transaction fee ~2% + a returns reserve typically 4–8 percentage points above Shopee's, reflecting the impulse-purchase profile of the buyer base). The two stacks produce break-even ROAS targets that are 2–3 ROAS points apart on the same SKU. A seller running a single account-wide ROAS target across the cells is, by construction, mistargeting at least one of them.",[840,1234,797],{"id":796},[812,1236,1237],{},"The structural shifts and the matrix are abstract until the operating arithmetic is specified. The three formula blocks below trace the same hypothetical scaling pattern — a representative Thai seller scaling monthly GMV from THB 200K to THB 800K across each of the three platforms — using the typical fee and voucher structure of each cell. The numbers are illustrative; they reflect a typical SKU-mix profile in our data, not a specific seller account. The point of the exercise is not the precise margin produced; it is the per-cell shape of the margin compression.",[1239,1240,1243],"pre",{"language":1241,"filename":1242},"text","Worked example 1 — Shopee TH (non-Mall), monthly P&L during scale-up",[1244,1245,1247],"code",{"class":1246},"language-text","Pre-scale  THB 200,000 GMV · 35% gross · 8% ads · 3% normal voucher · ~2% fees\n                     net contribution margin: ~22% of GMV  →  ~THB 44,000\n\nAt-scale   THB 800,000 GMV · 35% gross · 16% ads (auction-inflated)\n                  · 9% campaign voucher (escalated tier) · 4% free-ship subsidy · ~2% fees\n                     net contribution margin: ~4% of GMV  →  ~THB 32,000\n\nOutcome:  GMV grew 4×; net contribution profit fell 27%.",[1239,1249,1251],{"language":1241,"filename":1250},"Worked example 2 — Lazada TH (LazMall), monthly P&L during scale-up",[1244,1252,1253],{"class":1246},"Pre-scale  THB 200,000 GMV · 35% gross · 7% ads · 4% Mall fee premium\n                  · 3% mandatory free-shipping subsidy · 4% normal voucher\n                     net contribution margin: ~17% of GMV  →  ~THB 34,000\n\nAt-scale   THB 800,000 GMV · 33% gross (LazMall pricing parity drag) · 14% ads\n                  · 4% Mall premium · 4% mandatory free-shipping · 10% campaign voucher\n                     net contribution margin: ~1% of GMV  →  ~THB 8,000\n\nOutcome:  GMV grew 4×; net contribution profit fell 76%.",[1239,1255,1257],{"language":1241,"filename":1256},"Worked example 3 — TikTok Shop TH (Open Affiliate Plan), monthly P&L during scale-up",[1244,1258,1259],{"class":1246},"Pre-scale  THB 200,000 GMV · 35% gross · 6% ads · 3% platform commission\n                  · 18% affiliate (50% of orders, 20% commission) · 6% returns reserve\n                     net contribution margin: ~2% of GMV  →  ~THB 4,000\n\nAt-scale   THB 800,000 GMV · 35% gross · 14% ads\n                  · 3% platform commission · 22% affiliate (60% of orders, 22% commission)\n                  · 8% returns reserve (live-commerce mix)\n                     net contribution margin:  −12% of GMV  →  −THB 96,000\n\nOutcome:  GMV grew 4×; net contribution profit collapsed into a loss.",[812,1261,1262],{},"The three examples diverge sharply. The Shopee non-Mall path scales with margin compression but stays profitable on the increment. The LazMall path scales close to break-even because the Mall fee premium and mandatory shipping subsidy compound with the campaign voucher escalation. The TikTok Shop path scales into a loss because the affiliate commission, layered on top of platform commission and a higher returns reserve, exceeds gross margin once campaign voucher escalation is added. The same SKU mix, scaled the same way, produces three distinct margin trajectories. A seller running an aggregate dashboard across the three cells sees average margin compression and concludes that \"the market is competitive.\" A seller running per-cell economics sees that two of the three cells are losing money on the increment and one is not, and reallocates accordingly.",[840,1264,800],{"id":799},[812,1266,1267],{},"Stress-test the worked examples. The table below shows how the at-scale net contribution margin from worked example 1 (Shopee TH non-Mall) changes when one input moves while the others hold. The sensitivity is asymmetric — small movements in voucher tier and ad spend change the outcome more than equivalent movements in COGS or platform commission, because voucher and ad cost are themselves auction-driven and tend to escalate rather than fluctuate.",[812,1269,1270],{},[852,1271,1272],{},"Net contribution margin sensitivity to one-input shifts (Shopee TH at-scale baseline ~4%)",[856,1274,1275,1288],{},[859,1276,1277],{},[862,1278,1279,1282,1285],{},[865,1280,1281],{},"Input shift",[865,1283,1284],{},"New net contribution margin",[865,1286,1287],{},"Conclusion",[880,1289,1290,1301,1311,1321,1331,1342,1352],{},[862,1291,1292,1295,1298],{},[885,1293,1294],{},"Ads −2 pp (16% → 14%)",[885,1296,1297],{},"~6% of GMV",[885,1299,1300],{},"Audit-driven ad pruning is the highest-leverage single move",[862,1302,1303,1306,1308],{},[885,1304,1305],{},"Voucher −2 pp (9% → 7%)",[885,1307,1297],{},[885,1309,1310],{},"Voucher-tier discipline matches ad pruning in impact",[862,1312,1313,1316,1318],{},[885,1314,1315],{},"Gross margin +2 pp (35% → 37%)",[885,1317,1297],{},[885,1319,1320],{},"Equivalent to either of the above; harder to achieve in practice",[862,1322,1323,1326,1328],{},[885,1324,1325],{},"Free-shipping −2 pp (4% → 2%)",[885,1327,1297],{},[885,1329,1330],{},"Same magnitude; available only on non-Mall",[862,1332,1333,1336,1339],{},[885,1334,1335],{},"Ads +2 pp (16% → 18%)",[885,1337,1338],{},"~2% of GMV",[885,1340,1341],{},"Symmetric — auction inflation halves the at-scale margin",[862,1343,1344,1347,1349],{},[885,1345,1346],{},"Voucher +2 pp (9% → 11%)",[885,1348,1338],{},[885,1350,1351],{},"Symmetric; campaign-tier escalation accumulates",[862,1353,1354,1357,1360],{},[885,1355,1356],{},"Combined: ads +2pp AND voucher +2pp",[885,1358,1359],{},"~0% of GMV",[885,1361,1362],{},"Two-input campaign-day stress drives margin to break-even",[812,1364,1365],{},[852,1366,1367],{},"All other inputs held at the at-scale baseline of worked example 1 (Shopee TH non-Mall, THB 800K GMV). The asymmetry between the upside and downside cases reflects the auction-driven nature of the ad and voucher inputs — they tend to move in compounding directions during campaign windows.",[812,1369,1370],{},"The sensitivity table makes a structural point. Small shifts in two of the largest cost inputs — ad spend and voucher tier — produce 50%+ swings in at-scale net contribution margin. The seller who lacks a real-time per-SKU per-cell view of these inputs is operating with a margin signal whose noise floor is larger than the operating signal. The seller who has the view can act on the table directly: cut ads two percentage points and refuse the next voucher-tier escalation, and the at-scale margin recovers.",[1372,1373,1375,1376,1378],"blog-question",{"question":1374},"How is the SEA marketplace in 2026 different from 2022?","Three structural changes documented in the platforms' own filings and seller documentation. (1) Ad auctions matured — Sea Limited's 2025 disclosures document a multi-year AI investment in search, recommendations, and advertising ",[816,1377],{"n":1005},":blog-cite; the seller-side effect is that maintaining the same impression share typically requires 12–18% of revenue on ads in 2026 vs. 4–6% in 2022. (2) Promotions shifted from platform-funded to seller-funded — Shopee Help Center, Lazada Open Platform, and TikTok Shop Seller University all document explicit seller funding for vouchers, free-shipping subsidies, and affiliate commissions. (3) Cross-platform price arbitrage closed — comparison shopping happens in seconds across all three platforms, and competing sellers automate price-mirroring within minutes. The aggregate effect is the same regional growth rate at materially lower seller-side margin per unit on the increment.",[840,1380,803],{"id":802},[812,1382,1383],{},"Run the business on contribution margin per SKU per channel per market, not GMV. The rule is simple to state and administratively expensive to apply, which is why it is also the moat. Six operational implications follow from it directly.",[1385,1386,1387,1391,1394,1397,1400,1403],"ul",{},[1388,1389,1390],"li",{},"Which campaigns to scale: those whose post-attribution contribution margin per unit is positive on the increment, judged in the cell's own break-even ROAS, not against a global account target.",[1388,1392,1393],{},"Which discounts to publish: those whose voucher tier does not exceed the category's gross margin in the specific cell — campaign vouchers that work in Shopee TH may compress margin to break-even in LazMall TH on the same SKU.",[1388,1395,1396],{},"Which products to retire: those whose contribution margin is negative across every cell after a fair audit — not those that are negative in one cell while positive in another.",[1388,1398,1399],{},"Which channels to push a SKU into: the cells where the SKU's margin holds; not the cells with the highest aggregate GMV.",[1388,1401,1402],{},"Which campaigns to refuse: those whose participation cost (campaign voucher tier, mandatory ad spend, deeper free-shipping commitment) exceeds the SKU's contribution margin even before the campaign's GMV lift is realised.",[1388,1404,1405],{},"Which competitors to ignore: the ones competing on GMV. Their compression is on a different curve and following them is a margin-compression decision wearing a growth-strategy mask.",[833,1407],{"text":1408},"The cells are not averagable. The operating layer that wins models all 18 at once.",[840,1410,806],{"id":805},[812,1412,1413],{},"A research note that does not name its scope is advocacy in disguise. The argument above has explicit limits.",[1385,1415,1416,1419,1422,1425,1428,1431],{},[1388,1417,1418],{},"Account-size lower bound. The argument applies cleanly to accounts above approximately THB 200K monthly revenue. Below that, fixed operating costs (warehouse, fulfillment overhead, the seller's own time) dominate and the per-SKU optimisation framework underperforms simpler heuristics. A solo seller with 5 SKUs and THB 50K monthly revenue should not be running per-cell contribution-margin reconstructions; they should be picking their two best SKUs and watching cash flow.",[1388,1420,1421],{},"Account-size upper bound. The argument also has a top end. Top-tier sellers (LazMall enterprise tier, Shopee top-decile sellers) have negotiated commission schedules, custom voucher arrangements, and direct platform relationships that change the matrix in ways our public-fee-schedule modelling does not capture. The framework still applies; the input values are different and require recalibration.",[1388,1423,1424],{},"Cross-border sellers. China-to-SEA, Hong Kong-to-SEA, and Korea-to-SEA cross-border sellers face a different fee and customs cost stack — Shopee International Platform, Lazada Cross-Border, and TikTok Shop's cross-border seller programs each carry distinct economics not modelled here. The operating principle holds; the numerical bounds shift.",[1388,1426,1427],{},"Platform coverage. We treat Shopee, Lazada, and TikTok Shop as the three dominant platforms across SEA-6. This excludes Tokopedia (Indonesia-specific, large in absolute terms but not regional), the Bukalapak \u002F Blibli long tail in Indonesia, Sendo and Tiki in Vietnam, and emerging surfaces (Instagram Shopping in Singapore, Meta Shop integrations) that may matter at the margin. Sellers with meaningful Tokopedia exposure should treat the analysis as a useful-but-incomplete starting point.",[1388,1429,1430],{},"Time horizon. The structural shifts described here are observable over the 2022–2026 window. The directional trajectory is stable but the rate is not — Sea Limited's 2026 AI investment may either accelerate or moderate the ad-auction cost trajectory depending on whether the platform passes efficiency gains to sellers (compressing the auction) or extracts them (further inflating the auction). Forecast confidence beyond 24 months is low.",[1388,1432,1433],{},"Margin distribution claim. The \"in our data\" claims are aggregated and anonymised; they reflect the accounts we model. They are not population claims about all SEA marketplace sellers, and they explicitly exclude the bottom and top of the size distribution as discussed above.",[840,1435,809],{"id":808},[812,1437,1438,1439,1441,1442,1444,1445,1448,1449,1452,1453,1455,1456,1460,1461,1465],{},"Public-data citations in this note are taken from the Bain e-Conomy SEA 2025 report ",[816,1440],{"n":818},":blog-cite, Sea Limited's 4Q25 and 1Q26 investor disclosures (filed via SEC Form 6-K and the Sea Investor Relations portal) ",[816,1443],{"n":1005},", Alibaba's Lazada SEA segment disclosures from the same period, the Reuters reporting on Sea's March 2026 quarterly results ",[816,1446],{"n":1447},"4"," and the February 2026 Google–Sea AI partnership ",[816,1450],{"n":1451},"5",", and the platforms' own seller documentation: the Shopee Help Center (",[1016,1454,1019],{"href":1018}," and equivalent country domains), Lazada Open Platform documentation (",[1016,1457,1459],{"href":1458},"http:\u002F\u002Fopen.lazada.com","open.lazada.com","), and TikTok Shop Seller University (",[1016,1462,1464],{"href":1463},"http:\u002F\u002Fseller-th.tiktok.com","seller-th.tiktok.com",").",[812,1467,1468,1469,1473],{},"Internal-data claims — the cost-input ranges in the worked examples, the typical scaling patterns, the \"in our data\" margin distributions, and the \"20–30% of ad spend runs at a true loss\" figures — are aggregated across approximately 400 active SEA-6 marketplace seller accounts across the ",[1016,1470,1472],{"href":1471},"\u002Fsg\u002Fblog\u002Fmethodology","DataGlass research methodology"," sample frame (Jan 2024 – Apr 2026, 28-month observation window).",[812,1475,1476],{},"The methodology section exists for one purpose: to make every numerical claim in the note inspectable in principle. A reader who disagrees with the conclusions should be able to point to the input that is wrong (the public-data citation, the sample, the cost-input range, the attribution model) rather than to the conclusion itself. This is the difference between analysis that can be argued with and analysis that cannot.",[1478,1479,1481],"blog-callout",{"title":1480},"Eighteen non-averagable platform-market cells","The 2026 SEA marketplace is fragmented into 18 distinct platform-market cells with non-averagable economics, produced by three documented structural shifts that compounded across 2022–2026. Sellers who model contribution margin per SKU per channel per cell hold margin; sellers who watch GMV at the account aggregate lose it, slowly and predictably.",[1483,1484,1489,1490,1491,1492,1493,1494],{"id":777,"depth":386,"text":778},{"id":780,"depth":386,"text":781,"children":1485},[1486,1487,1488],{"id":784,"depth":332,"text":785},{"id":787,"depth":332,"text":788},{"id":790,"depth":332,"text":791},{"id":793,"depth":386,"text":794},{"id":796,"depth":386,"text":797},{"id":799,"depth":386,"text":800},{"id":802,"depth":386,"text":803},{"id":805,"depth":386,"text":806},{"id":808,"depth":386,"text":809},{"id":1496,"categories":1497,"domain":1504,"extension":5,"fallback":1505,"home":1508,"industry":1517,"meta":1522,"pricing":1523,"stem":1535,"__hash__":1536},"og_en\u002Fen\u002Fog.yml",[1498,1499,1500,1501,1502,1503],{"slug":347,"label":348},{"slug":350,"label":27},{"slug":352,"label":353},{"slug":355,"label":356},{"slug":361,"label":362},{"slug":364,"label":48},"dataglasslabs.com",{"title":1506,"description":1507},"DataGlass","The decision engine for Shopee, Lazada and TikTok Shop sellers.",{"chart":1509,"metrics":1510},"Net profit, last 30 days",[1511,1514],{"label":1512,"value":1513},"Net profit","฿1.24M",{"label":1515,"value":1516},"Profit ROAS","3.4x",{"axis":1518,"point":1519},"Ad spend",{"label":1520,"value":1521},"Next baht still pays","+฿0.42",{},{"plans":1524},[1525,1529,1532],{"name":1526,"price":1527,"period":1528},"Free","฿0","\u002Fmonth",{"name":1530,"price":1531,"period":1528},"Standard","฿1,499",{"name":1533,"price":1534,"period":1528},"Pro","฿2,499","en\u002Fog","63L8y4Lv8I2q3NvR26fMXU1sE9Wd7TZaz2l_tV6oZuo",[],1792785083990]