[{"data":1,"prerenderedAt":1163},["ShallowReactive",2],{"site-chrome-vn":3,"site-chrome-en":-1,"site-chrome-th":-1,"blog-page-vn":287,"blog-categories-vn":345,"blog-posts-vn":365,"article-blog-vn-\u002Fblog\u002Fhow-to-reduce-lazada-ad-waste":722,"og-copy-vn":1120,"og-posts-vn-none":1162},{"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","\u002Fvn\u002Fblog\u002Fads-optimization",{"label":15,"to":16},"Unit economics","\u002Fvn\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","\u002Fvn\u002Fpricing",{"label":30,"children":31},"Resources",[32,35,38,41,44],{"label":33,"to":34},"Blog","\u002Fvn\u002Fblog",{"label":36,"to":37},"Customer stories","\u002Fvn\u002Fcustomers",{"label":39,"to":40},"Research","\u002Fvn\u002Fresearch",{"label":42,"to":43},"Glossary","\u002Fvn\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","\u002Fvn\u002Fcompany",{"label":54,"to":55},"Contact","\u002Fvn\u002Fcontact",{"label":57,"to":58},"Book a demo","\u002Fvn\u002Fbook-a-demo",{"label":60,"to":61},"Privacy","\u002Fvn\u002Flegal\u002Fprivacy",{"label":63,"to":64},"Terms","\u002Fvn\u002Flegal\u002Fterms",{"label":66,"children":67},"DataGlass for",[68,71,74,77,80],{"label":69,"to":70},"Agencies","\u002Fvn\u002Ffor\u002Fagencies",{"label":72,"to":73},"Brands","\u002Fvn\u002Ffor\u002Fbrands",{"label":75,"to":76},"Planners and optimizers","\u002Fvn\u002Ffor\u002Fplanners",{"label":78,"to":79},"Managers and analysts","\u002Fvn\u002Ffor\u002Fmanagers",{"label":81,"to":82},"Sellers and shop owners","\u002Fvn\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},"\u002Fvn",{"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":769,"toc":1108},{"id":724,"title":644,"category":352,"cover":334,"cta":725,"date":646,"description":645,"draft":336,"draftReason":334,"extension":337,"featured":336,"format":223,"listen":334,"math":336,"meta":728,"navigation":334,"ogImage":334,"path":729,"platforms":730,"readMinutes":537,"related":731,"robots":334,"schemaOrg":334,"seo":732,"sitemap":735,"sources":736,"stem":760,"tldr":761,"topic":334,"updatedAt":334,"__hash__":768},"blog_en\u002Fblog\u002Fhow-to-reduce-lazada-ad-waste.md",{"title":726,"body":727},"Find the structural ad waste hiding in Lazada Sponsored campaigns.","DataGlass computes true ROAS per Sponsored Search keyword, per Sponsored Discovery audience, and per LazMall placement — and surfaces the per-placement reallocation that recovers margin without losing meaningful attributed revenue.",{},"\u002Fblog\u002Fhow-to-reduce-lazada-ad-waste",[213],[618,636,660],{"title":733,"description":734},"How to Reduce Lazada Ad Waste Without Killing Sales","A per-placement true-ROAS audit recovers 20–30% of monthly Lazada ad spend, because Sponsored Search and Sponsored Discovery break even at different points.",{"loc":729},[737,741,744,748,752,756],{"title":738,"url":739,"note":740},"Lazada Sponsored Solutions — Sponsored Search documentation","https:\u002F\u002Fsponsoredsolutions.lazada.com\u002F","Lazada's seller-facing documentation on Sponsored Search bidding, keyword match types, and reported ROAS — the platform-side foundation of the dashboard-vs-true-ROAS gap analysed in this note.",{"title":742,"url":739,"note":743},"Lazada Sponsored Solutions — Sponsored Discovery documentation","Documentation of Lazada Sponsored Discovery's broad-reach mechanics, audience targeting, and impression placement across feeds, recommendation rails, and category pages.",{"title":745,"url":746,"note":747},"Lazada Open Platform — Order and finance API","https:\u002F\u002Fopen.lazada.com\u002Fdoc\u002Fdoc.htm","Lazada's seller API for order-line data, ad-attribution, and finance reconciliation — the data surface that anchors a defensible per-placement true-ROAS calculation.",{"title":749,"url":750,"note":751},"Alibaba Group — Investor Relations","https:\u002F\u002Fwww.alibabagroup.com\u002Fen-US\u002Fir","Alibaba SEA segment commentary across 2025–2026 reporting periods. Reference for the Lazada Sponsored ad-revenue trajectory that drives the cost-per-click inflation referenced in the sensitivity section.",{"title":753,"url":754,"note":755},"Google, Temasek & Bain — e-Conomy SEA 2025: retail media","https:\u002F\u002Fwww.bain.com\u002Finsights\u002Fe-conomy-sea-2025\u002F","Bain commentary on retail-media inflation in SEA marketplaces — the macro driver of the rising cost-per-click that compounds the structural waste described here.",{"title":757,"url":758,"note":759},"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","Macro: SEA e-commerce GMV trajectory and the campaign-window pressure that drives Pay Day \u002F Mega Sale \u002F 11.11 ad-auction inflation.","blog\u002Fhow-to-reduce-lazada-ad-waste",[762,763,764,765,766,767],"Thesis: Lazada Sponsored Search and Sponsored Discovery have structurally different break-even economics, and the right pruning order is Discovery first, Search second. Reverse the order and the audit pauses the campaigns most likely to be profitable.","In our data across ~180 Thai SEA-6 Lazada accounts, Sponsored Search converts at 1.4–1.8× the true ROAS of Sponsored Discovery on comparable budgets. The differential is largest on long-tail and branded variants where Discovery drifts hardest into adjacent queries.","A platform ROAS 5.0 on Sponsored Search may be profitable on a 35%-margin SKU and a structural loss on a 15%-margin SKU. Compare to the SKU's break-even ROAS, not the account-wide target.","The per-placement audit (keyword × SKU for Search; audience × SKU for Discovery) is the resolution at which actionable ad-waste lives. Campaign-level aggregation hides the structural leak.","In our data, accounts running this audit recover 20–30% of monthly Lazada ad spend in the first 30 days without losing meaningful attributed revenue. The saved budget reallocates to top-decile Sponsored Search keywords and to LazMall-eligible Sponsored Search placements.","Limitation: the framework assumes order-line data clean enough to attribute Sponsored Search and Sponsored Discovery spend per placement. Below ~THB 200K monthly revenue, the operational overhead exceeds recovered margin; account-wide ROAS targeting plus a small per-SKU break-even table outperforms.","6GGjmurl4FM52zv6wF0cf3QBGyT6vb1EQ956sTFzKMM",{"frontmatter":770,"meta":783,"nodes":816},{"title":644,"description":645,"seo":771,"category":352,"format":223,"platforms":772,"date":646,"readMinutes":537,"tldr":773,"related":774,"sources":775,"cta":782},{"title":733,"description":734},[213],[762,763,764,765,766,767],[618,636,660],[776,777,778,779,780,781],{"title":738,"url":739,"note":740},{"title":742,"url":739,"note":743},{"title":745,"url":746,"note":747},{"title":749,"url":750,"note":751},{"title":753,"url":754,"note":755},{"title":757,"url":758,"note":759},{"title":726,"body":727},{"toc":784},{"title":331,"searchDepth":386,"depth":386,"links":785},[786,789,792,808,811,814],{"id":787,"depth":386,"text":788},"sponsored-search-vs-sponsored-discovery-the-structural-difference","Sponsored Search vs. Sponsored Discovery — the structural difference",{"id":790,"depth":386,"text":791},"the-dashboard-roas-problem-on-lazada","The dashboard ROAS problem on Lazada",{"id":793,"depth":386,"text":794,"children":795},"a-two-week-audit-applied-per-placement","A two-week audit, applied per placement",[796,799,802,805],{"id":797,"depth":332,"text":798},"a-two-week-audit-applied-per-placement-_1-export-per-order-data-from-lazada-open-platform","1. Export per-order data from Lazada Open Platform.",{"id":800,"depth":332,"text":801},"a-two-week-audit-applied-per-placement-_2-reconstruct-true-roas-at-the-placement-resolution","2. Reconstruct true ROAS at the placement resolution.",{"id":803,"depth":332,"text":804},"a-two-week-audit-applied-per-placement-_3-compute-break-even-roas-per-sku","3. Compute break-even ROAS per SKU.",{"id":806,"depth":332,"text":807},"a-two-week-audit-applied-per-placement-_4-flag-and-tag-every-placement-below-break-even","4. Flag and tag every placement below break-even.",{"id":809,"depth":386,"text":810},"sensitivity-what-changes-the-audits-output","Sensitivity — what changes the audit’s output",{"id":812,"depth":386,"text":813},"limitations-and-where-this-argument-breaks","Limitations and where this argument breaks",{"id":577,"depth":386,"text":815},"Methodology",[817,821,824,827,831,834,837,845,877,880,882,888,898,901,906,908,911,914,921,923,926,928,931,933,936,938,941,947,1046,1051,1053,1072,1074,1091,1100,1103],[818,819,820],"p",{},"The standard ad-audit advice on Lazada is the same advice every Lazada Ads agency offers: find the campaigns with low platform ROAS and pause them. The advice is not wrong; it is incomplete in a structurally important way. Lazada’s ad inventory is split across two products with different mechanics, different conversion behaviour, and different break-even economics. Treating them as one ROAS distribution and pruning the visible underperformers is the right answer to the wrong question.",[818,822,823],{},"In our data across ~180 Thai SEA-6 Lazada accounts, the structurally loss-making ad spend on a typical account is concentrated not in the campaigns that look broken on the dashboard, but in Sponsored Discovery placements with strong-looking platform ROAS, healthy click-through, real attributed orders — and unit economics that turn negative the moment LazMall commission, the seller-funded portion of Voucher Wallet, the Free Shipping Logo seller-share, and the SKU's actual COGS are properly counted. Sponsored Search is more intent-driven and clears its true-ROAS bar more often. Pruning Sponsored Search before Sponsored Discovery is the audit-order error this note documents.",[818,825,826],{},"This note argues that reducing Lazada ad waste is a per-placement decision, not a per-campaign decision. The minimum useful resolution is keyword × SKU for Sponsored Search and audience × SKU for Sponsored Discovery, with each placement evaluated against its underlying SKU's break-even ROAS rather than the account-wide target. With chart-level visualisation of the structural difference between the two ad products, sensitivity analysis on the cost-stack inputs that move most, the two-week audit procedure that produces the per-placement decision list, and the operating signal that survives Pay Day, Mega Sale, and 11.11 campaign-window inflation.",[828,829],"blog-pullquote",{"text":830},"Most Lazada ad waste is not in the campaigns that look broken. It is in the Sponsored Discovery placements the dashboard ranks as winners.",[818,832,833],{},"Thesis: in our data, accounts running the per-placement audit recover 20–30% of monthly Lazada ad spend in the first 30 days without losing meaningful attributed revenue. The saved budget reallocates to top-decile Sponsored Search keywords and to high-margin SKUs whose Sponsored placements were funded below their potential. The framework is mechanical; the obstacle is data plumbing (per-placement attribution from order-line data); the moat is running it weekly rather than at quarter close.",[835,836,788],"h2",{"id":787},[818,838,839,840,844],{},"Lazada Sponsored Search captures intent. The buyer typed a query; the seller's bid wins an impression on the search-results page. Sponsored Discovery is broad-reach: the platform shows the ad in feeds, recommendation rails, and category pages to buyers who did not necessarily express intent for the SKU. Both report ROAS in the same way through the Sponsored Solutions seller portal ",[841,842],"blog-cite",{"n":843},"1",":blog-cite. Both have very different break-even economics, and the order in which an audit prunes them determines whether the account recovers margin or loses revenue.",[846,847],"blog-chart",{"kind":848,"title":849,"labels":850,"values":855,"compare":859,"series":864,"notes":867,"unit":872,"max":873,"highlight":874,"caption":876},"bar","Sponsored Search vs. Sponsored Discovery — true ROAS comparison across keyword cohorts",[851,852,853,854],"High-intent commercial keyword (SKU name)","Mid-intent generic keyword (category)","Long-tail \u002F branded variant","Account average across keywords",[856,857,858,370],4.4,3.2,5.1,[860,861,862,863],2.6,1.5,1.8,2.2,[865,866],"Sponsored Search","Sponsored Discovery",[868,869,870,871],"Both profitable; Search ~1.7× Discovery","Discovery drift into substitutes","Discovery surfaces on adjacent queries","~1.4–1.8× differential typical","×","6",[875,386],1,"In our data across Thai LazMall accounts, Sponsored Search converts at 1.4–1.8× the true ROAS of Sponsored Discovery on comparable budgets. The differential is largest on long-tail and branded variants, where Sponsored Discovery's broad targeting drifts into adjacent and substitute queries that consume budget without converting to seller-margin sales.",[818,878,879],{},"Two operational implications follow directly. First, the right pruning order is Sponsored Discovery first — pause placements below the SKU's break-even ROAS, redistribute the saved budget to Sponsored Search top-decile keywords on top-quartile-margin SKUs. Second, broad-match keyword expansion on Sponsored Search is opt-out by default and behaves differently from Sponsored Discovery's audience expansion; treat it as a third audit lever rather than collapsing it into the Search\u002FDiscovery split.",[835,881,791],{"id":790},[818,883,884,885,887],{},"Lazada's Sponsored Solutions dashboard reports ROAS as ad-attributed revenue divided by ad spend ",[841,886],{"n":843},":blog-cite, the same definition Shopee uses. The numerator is gross. Every variable cost that compounds at scale on a Lazada account sits below the line the platform draws: LazMall commission (3–10% by category, vs. 1–4% on the standard store), the ~2% payment processing fee, the seller-funded portion of any Voucher Wallet contribution applied at order close, the seller-share of the Free Shipping Logo subsidy on program-eligible orders, the SKU's COGS, packaging, and a category-specific returns reserve.",[889,890,893],"pre",{"language":891,"filename":892},"text","Same Sponsored campaign, two SKUs, opposite outcomes",[894,895,897],"code",{"class":896},"language-text","Both campaigns: ad spend THB 1,000 · attributed revenue THB 8,000 · platform ROAS 8.0\n\nLazMall, 35% gross margin SKU:\n   COGS 5,200 + commission 800 + payment 160 + voucher 400 + free-ship 240 + ad 1,000 = 7,800\n   Net ad profit: +THB 200\n   True ROAS = (8,000 − 5,200 − 800 − 160 − 400 − 240) \u002F 1,000 = 1.20\n\nLazMall, 22% gross margin SKU:\n   COGS 6,240 + commission 800 + payment 160 + voucher 400 + free-ship 240 + ad 1,000 = 8,840\n   Net ad profit: −THB 840\n   True ROAS = (8,000 − 6,240 − 800 − 160 − 400 − 240) \u002F 1,000 = 0.16\n\nSpread: ~7.5x in true ROAS at the same dashboard signal. The dashboard cannot tell them apart.",[818,899,900],{},"The platform metric ranks both campaigns identically; the bank account disagrees by THB 1,040. Replacing platform ROAS with true ROAS at the placement level — keyword for Sponsored Search, audience for Sponsored Discovery — produces the per-placement decision list that the campaign-level aggregate cannot.",[902,903,905],"blog-question",{"question":904},"How do I know which Lazada Sponsored campaigns are actually profitable?","Compute true ROAS per placement, not per campaign. For Sponsored Search: aggregate ad-attributed revenue and ad spend per keyword × SKU, subtract LazMall (or standard-store) commission, payment fee, Voucher Wallet seller-funded portion, Free Shipping Logo seller-share, COGS, and a category returns reserve from the revenue. Divide by ad spend. For Sponsored Discovery: same arithmetic at the audience × SKU resolution. Compare the result to the underlying SKU's break-even ROAS (1 \u002F contribution margin rate) rather than to the account-wide target. Placements where true ROAS sits below break-even are the structural waste; the platform-ROAS dashboard cannot distinguish them from winners. In our data, this audit recovers 20–30% of monthly Lazada ad spend in the first 30 days without losing meaningful attributed revenue.",[835,907,794],{"id":793},[818,909,910],{},"The right Lazada ad audit is a two-week measurement window that collects the data needed to make durable decisions, not a one-day pause list. The structure below produces a per-placement decision list with auditable reasoning, applied at production cadence rather than only at quarter close.",[912,913,798],"h3",{"id":797},[818,915,916,917,920],{},"Required columns: order ID, SKU, ad-attributed source (Sponsored Search keyword, Sponsored Discovery audience, organic), ad-attributed revenue at order close (not click time), commission (program-aware), payment fee, Voucher Wallet split, Free Shipping Logo seller-share, fulfillment, returns flag ",[841,918],{"n":919},"3",".",[912,922,801],{"id":800},[818,924,925],{},"For each Sponsored Search keyword × SKU and each Sponsored Discovery audience × SKU: contribution profit before ads = revenue − COGS − program-aware commission − payment fee − Voucher Wallet seller-funded portion − Free Shipping Logo seller-share − returns provision. Sum across the 30-day window. Divide by ad spend at the same resolution.",[912,927,804],{"id":803},[818,929,930],{},"Break-even ROAS = 1 \u002F contribution margin rate. Apply per SKU. A 35% margin SKU breaks even at ROAS 2.9; a 15% margin SKU breaks even at ROAS 6.7. The break-even bar is the audit floor.",[912,932,807],{"id":806},[818,934,935],{},"Tag the underlying cause: bid pressure (auction-inflated CPC), broad-match drift (Sponsored Search keyword expansion), Discovery audience drift (broad targeting), voucher-tier escalation (campaign-window seller-funded voucher above category margin), low-margin SKU, weak conversion. Each flagged placement gets one of four actions: pause, lower bid, narrow targeting, or reassign budget to a higher-margin SKU.",[835,937,810],{"id":809},[818,939,940],{},"The audit's precision depends on input quality and on platform-side conditions that drift week-to-week. The table below shows how the share of ad spend flagged as loss-making shifts under common scenarios.",[818,942,943],{},[944,945,946],"em",{},"Audit precision under input-quality and platform-condition scenarios",[948,949,950,966],"table",{},[951,952,953],"thead",{},[954,955,956,960,963],"tr",{},[957,958,959],"th",{},"Scenario",[957,961,962],{},"Share flagged loss-making",[957,964,965],{},"Note",[967,968,969,981,992,1003,1014,1025,1036],"tbody",{},[954,970,971,975,978],{},[972,973,974],"td",{},"Clean data; per-placement attribution; LazMall commission table refreshed",[972,976,977],{},"20–30%",[972,979,980],{},"Reference — typical research-grade audit output",[954,982,983,986,989],{},[972,984,985],{},"Campaign-level aggregation only (no per-placement)",[972,987,988],{},"8–14%",[972,990,991],{},"Misses the Sponsored Discovery audience leak entirely",[954,993,994,997,1000],{},[972,995,996],{},"LazMall vs. standard-store commission misapplied (flat-rate)",[972,998,999],{},"14–22%",[972,1001,1002],{},"Misallocates 2–4 pp across the catalog",[954,1004,1005,1008,1011],{},[972,1006,1007],{},"Voucher Wallet seller\u002Fplatform split aggregated",[972,1009,1010],{},"24–34%",[972,1012,1013],{},"Overestimates seller-funded share — false positives",[954,1015,1016,1019,1022],{},[972,1017,1018],{},"Click-time attribution (not order-close)",[972,1020,1021],{},"12–18%",[972,1023,1024],{},"Understates ad cost during the 1–7 day lag window",[954,1026,1027,1030,1033],{},[972,1028,1029],{},"Pay Day \u002F 11.11 campaign-window data only",[972,1031,1032],{},"28–40%",[972,1034,1035],{},"Auction inflation peaks during campaign weeks",[954,1037,1038,1041,1043],{},[972,1039,1040],{},"No category-specific returns reserve",[972,1042,999],{},[972,1044,1045],{},"Understates waste on returns-prone categories (apparel, beauty)",[818,1047,1048],{},[944,1049,1050],{},"Each row holds all other inputs at the reference baseline. The sensitivity confirms the structural argument: the audit's value depends on data-quality discipline. Bad inputs produce results indistinguishable from the standard \"pause low platform ROAS\" approach.",[835,1052,813],{"id":812},[1054,1055,1056,1060,1063,1066,1069],"ul",{},[1057,1058,1059],"li",{},"Account-size lower bound. The two-week per-placement audit assumes operating capacity to attribute ad spend at the keyword × SKU and audience × SKU resolution. Below ~THB 200K monthly revenue, the operational overhead exceeds recovered margin; an account-wide ROAS target plus a small per-SKU break-even table outperforms.",[1057,1061,1062],{},"Open Platform access. Smaller Lazada accounts may rely on Seller Centre CSV exports rather than Open Platform API access — fine for a one-off audit but harder to automate at production cadence.",[1057,1064,1065],{},"Attribution-window mismatch. Lazada's Sponsored ad attribution is at order close, not at click time, with a typical 1–7 day lag. The audit treats the campaign as concluded at attribution; real net-of-returns reconciliation runs ~30 days later.",[1057,1067,1068],{},"Campaign-window seasonality. The 1.4–1.8× Sponsored Search vs. Discovery true-ROAS differential is observed across rolling 30-day windows. During Pay Day, Mega Sale, and 11.11, Sponsored Discovery drift increases as the platform's relevance model surfaces ads on more loosely-related queries; re-run the audit after each major campaign window.",[1057,1070,1071],{},"Internal-data scope. The 20–30% recovery share, the audit-cohort distribution, the typical Sponsored Search vs. Discovery differential are aggregated across the SEA-6 Thai Lazada accounts we model directly. They are not population claims about all Lazada Ads accounts; they exclude operators below the size bound.",[835,1073,815],{"id":577},[818,1075,1076,1077,1079,1080,1082,1083,1086,1087,1090],{},"Public-data citations are taken from the Lazada Sponsored Solutions seller portal (Sponsored Search and Sponsored Discovery documentation) ",[841,1078],{"n":843},":blog-cite, the Lazada Open Platform documentation (commission, Voucher Wallet, Free Shipping Logo, ad-attribution) ",[841,1081],{"n":919},", Alibaba's SEA segment commentary across the 2025–2026 reporting periods ",[841,1084],{"n":1085},"4",", and the Bain e-Conomy SEA 2025 commentary on retail-media inflation in SEA marketplaces ",[841,1088],{"n":1089},"5",":blog-cite.",[818,1092,1093,1094,1099],{},"Internal-data claims — the 20–30% loss-making spend share, the cohort distribution, the Sponsored Search vs. Discovery true-ROAS differential, the 30-day recovery window — are aggregated across the Thai SEA-6 Lazada accounts we model directly. The Lazada Sponsored subset comprises approximately 180 active accounts across the ",[1095,1096,1098],"a",{"href":1097},"\u002Fvn\u002Fblog\u002Fmethodology","DataGlass research methodology"," sample frame (Jan 2024 – Apr 2026, 28-month observation window).",[828,1101],{"text":1102},"Don’t pause Sponsored Search first. Prune Sponsored Discovery to the SKU break-even bar, then tighten Sponsored Search match types, then audit campaign participation.",[1104,1105,1107],"blog-callout",{"title":1106},"Per-placement audit beats a campaign-level pause","Lazada ad waste reduction is a per-placement audit at the keyword × SKU and audience × SKU resolution, judged against the underlying SKU's break-even ROAS — prune Sponsored Discovery first, Sponsored Search second — and the typical recovery is 20–30% of monthly ad spend without losing attributed revenue.",[1109,1110,1111,1117,1118,1119],{"id":787,"depth":386,"text":788},{"id":790,"depth":386,"text":791},{"id":793,"depth":386,"text":794,"children":1112},[1113,1114,1115,1116],{"id":797,"depth":332,"text":798},{"id":800,"depth":332,"text":801},{"id":803,"depth":332,"text":804},{"id":806,"depth":332,"text":807},{"id":809,"depth":386,"text":810},{"id":812,"depth":386,"text":813},{"id":577,"depth":386,"text":815},{"id":1121,"categories":1122,"domain":1129,"extension":5,"fallback":1130,"home":1133,"industry":1142,"meta":1147,"pricing":1148,"stem":1160,"__hash__":1161},"og_en\u002Fen\u002Fog.yml",[1123,1124,1125,1126,1127,1128],{"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":1131,"description":1132},"DataGlass","The decision engine for Shopee, Lazada and TikTok Shop sellers.",{"chart":1134,"metrics":1135},"Net profit, last 30 days",[1136,1139],{"label":1137,"value":1138},"Net profit","฿1.24M",{"label":1140,"value":1141},"Profit ROAS","3.4x",{"axis":1143,"point":1144},"Ad spend",{"label":1145,"value":1146},"Next baht still pays","+฿0.42",{},{"plans":1149},[1150,1154,1157],{"name":1151,"price":1152,"period":1153},"Free","฿0","\u002Fmonth",{"name":1155,"price":1156,"period":1153},"Standard","฿1,499",{"name":1158,"price":1159,"period":1153},"Pro","฿2,499","en\u002Fog","63L8y4Lv8I2q3NvR26fMXU1sE9Wd7TZaz2l_tV6oZuo",[],1792784961653]