[{"data":1,"prerenderedAt":1309},["ShallowReactive",2],{"site-chrome-my":3,"site-chrome-en":-1,"site-chrome-th":-1,"blog-page-my":287,"blog-categories-my":345,"blog-posts-my":365,"article-blog-my-\u002Fblog\u002Fprice-elasticity-modeling-shopee-lazada-tiktok-shop":722,"og-copy-my":1266,"og-posts-my-none":1308},{"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","\u002Fmy\u002Fblog\u002Fads-optimization",{"label":15,"to":16},"Unit economics","\u002Fmy\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","\u002Fmy\u002Fpricing",{"label":30,"children":31},"Resources",[32,35,38,41,44],{"label":33,"to":34},"Blog","\u002Fmy\u002Fblog",{"label":36,"to":37},"Customer stories","\u002Fmy\u002Fcustomers",{"label":39,"to":40},"Research","\u002Fmy\u002Fresearch",{"label":42,"to":43},"Glossary","\u002Fmy\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","\u002Fmy\u002Fcompany",{"label":54,"to":55},"Contact","\u002Fmy\u002Fcontact",{"label":57,"to":58},"Book a demo","\u002Fmy\u002Fbook-a-demo",{"label":60,"to":61},"Privacy","\u002Fmy\u002Flegal\u002Fprivacy",{"label":63,"to":64},"Terms","\u002Fmy\u002Flegal\u002Fterms",{"label":66,"children":67},"DataGlass for",[68,71,74,77,80],{"label":69,"to":70},"Agencies","\u002Fmy\u002Ffor\u002Fagencies",{"label":72,"to":73},"Brands","\u002Fmy\u002Ffor\u002Fbrands",{"label":75,"to":76},"Planners and optimizers","\u002Fmy\u002Ffor\u002Fplanners",{"label":78,"to":79},"Managers and analysts","\u002Fmy\u002Ffor\u002Fmanagers",{"label":81,"to":82},"Sellers and shop owners","\u002Fmy\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},"\u002Fmy",{"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":850,"toc":1253},{"id":724,"title":558,"category":350,"cover":334,"cta":725,"date":543,"description":559,"draft":336,"draftReason":334,"extension":337,"featured":336,"format":226,"listen":334,"math":336,"meta":728,"navigation":334,"ogImage":334,"path":729,"platforms":730,"readMinutes":560,"related":731,"robots":334,"schemaOrg":334,"seo":732,"sitemap":736,"sources":737,"stem":842,"tldr":843,"topic":334,"updatedAt":543,"__hash__":849},"blog_en\u002Fblog\u002Fprice-elasticity-modeling-shopee-lazada-tiktok-shop.md",{"title":726,"body":727},"Explore a calibrated elasticity pilot.","DataGlass models per-SKU price response from order-line data, promotion history, and margin constraints, then turns it into Bundle Deal, FlexiCombo, voucher, and flash-sale recommendations for marketplace sellers.",{},"\u002Fblog\u002Fprice-elasticity-modeling-shopee-lazada-tiktok-shop",[210,213,216],[704,612,660],{"title":733,"description":734,"image":735},"Price elasticity modeling for Shopee, Lazada & TikTok Shop","Why marketplace sellers leave money on the table without price elasticity modeling, and how it improves Shopee, Lazada, and TikTok Shop discounts.","\u002Fassets\u002Fog\u002Fprice-elasticity-modeling-1200x630.png",{"loc":729,"lastmod":543},[738,742,746,750,754,758,762,766,770,774,778,782,786,790,794,798,802,806,810,814,818,822,826,830,834,838],{"title":739,"url":740,"note":741},"McKinsey & Company — Pricing in retail: Setting strategy","https:\u002F\u002Fwww.mckinsey.com\u002F~\u002Fmedia\u002FMcKinsey\u002FIndustries\u002FRetail\u002FOur%20Insights\u002FPricing%20in%20retail%20Setting%20strategy\u002FPricing_in_retail_setting_strategy.pdf","Retail-pricing strategy foundation and the case for analytical price setting over flat rules.",{"title":743,"url":744,"note":745},"McKinsey & Company — Dynamic Pricing in e-Commerce","https:\u002F\u002Fwww.mckinsey.com\u002Fcapabilities\u002Fgrowth-marketing-and-sales\u002Fhow-we-help-clients\u002Fdynamic-pricing","Dynamic pricing practice framing for elasticity-aware e-commerce pricing systems.",{"title":747,"url":748,"note":749},"Mazumdar, Raj & Sinha — Reference Price Research: Review and Propositions","https:\u002F\u002Fjournals.sagepub.com\u002Fdoi\u002Fabs\u002F10.1509\u002Fjmkg.2005.69.4.84","Reference-price literature review used for the discount habituation and expected-price sections.",{"title":751,"url":752,"note":753},"Rajendran & Tellis — Contextual and Temporal Components of Reference Price","https:\u002F\u002Fpapers.ssrn.com\u002Fsol3\u002Fpapers.cfm?abstract_id=907228","Empirical reference-price model distinguishing temporal and contextual reference points.",{"title":755,"url":756,"note":757},"Shopee Help Center — What is a Bundle Deal?","https:\u002F\u002Fhelp.shopee.sg\u002F4\u002Farticle\u002F76670-%5BBundle-Deal%5D-What-is-a-Bundle-Deal","Shopee Bundle Deal mechanics and example quantity-conditioned discount labels.",{"title":759,"url":760,"note":761},"Lazada Seller Center — Flexi Combo help center","https:\u002F\u002Fsellercenter.lazada.sg\u002Fseller\u002Fhelpcenter\u002Fflexi-combo-10977.html","Lazada FlexiCombo seller-promotion documentation.",{"title":763,"url":764,"note":765},"TechNode Global \u002F Momentum Works — TikTok Shop SEA GMV doubled to $45.6B in 2025","https:\u002F\u002Ftechnode.global\u002F2026\u002F02\u002F11\u002Ftiktoks-southeast-asia-doubles-gmv-year-on-year-to-45-6b-in-2025\u002F","Current cited market-size source for TikTok Shop regional GMV and growth.",{"title":767,"url":768,"note":769},"SellerCraft — TikTok Shop vs Shopee GMV Trends in Southeast Asia","https:\u002F\u002Fsellercraft.co\u002Ftiktok-shop-vs-shopee-gmv-trends-in-southeast-asia-2023-2025-unpacking-the-e-commerce-showdown\u002F","Marketplace GMV and average-order-value comparison context.",{"title":771,"url":772,"note":773},"McKinsey & Company — How retailers can drive profitable growth through dynamic pricing","https:\u002F\u002Fwww.mckinsey.com\u002Findustries\u002Fretail\u002Four-insights\u002Fhow-retailers-can-drive-profitable-growth-through-dynamic-pricing","Source for the 2-5% sales growth and 5-10% margin increase range reported for mature dynamic-pricing programs.",{"title":775,"url":776,"note":777},"McKinsey & Company — The dos and don'ts of dynamic pricing in retail","https:\u002F\u002Fwww.mckinsey.com\u002Fcapabilities\u002Fgrowth-marketing-and-sales\u002Four-insights\u002Fthe-dos-and-donts-of-dynamic-pricing-in-retail","Promotion and dynamic-pricing implementation caveats.",{"title":779,"url":780,"note":781},"DealStreetAsia \u002F Momentum Works — Southeast Asia e-commerce GMV hit $157.6B in 2025","https:\u002F\u002Fwww.dealstreetasia.com\u002Fstories\u002Fmomentum-works-report-2025-479044","Source for 2025 SEA platform e-commerce GMV, 22.8% growth, and the 98.8% top-three platform concentration figure.",{"title":783,"url":784,"note":785},"Google, Temasek & Bain — e-Conomy SEA 2025","https:\u002F\u002Fwww.bain.com\u002Finsights\u002Fe-conomy-sea-2025\u002F","Regional macro context for Southeast Asia digital commerce and retail-media pressure.",{"title":787,"url":788,"note":789},"Berry, Levinsohn & Pakes — Automobile Prices in Market Equilibrium","https:\u002F\u002Fwww.its.caltech.edu\u002F~mshum\u002Fgradio\u002Fpapers\u002FBerryLevinsohnPakes1995.pdf","Canonical instrumental-variables demand-estimation paper used for price-endogeneity framing.",{"title":791,"url":792,"note":793},"Kahneman & Tversky — Prospect Theory: An Analysis of Decision under Risk","https:\u002F\u002Fweb.mit.edu\u002Fcurhan\u002Fwww\u002Fdocs\u002FArticles\u002F15341_Readings\u002FBehavioral_Decision_Theory\u002FKahneman_Tversky_1979_Prospect_theory.pdf","Behavioral foundation for reference-dependent evaluation of price gains and losses.",{"title":795,"url":796,"note":797},"Adams & Yellen — Commodity Bundling and the Burden of Monopoly","http:\u002F\u002Fneconomides.stern.nyu.edu\u002Fnetworks\u002FAdams_Yellen_Commodity_Bundling.pdf","Foundational bundling and second-degree price-discrimination analysis.",{"title":799,"url":800,"note":801},"McAfee, McMillan & Whinston — Multiproduct Monopoly, Commodity Bundling, and Correlation of Values","https:\u002F\u002Facademic.oup.com\u002Fqje\u002Farticle-abstract\u002F104\u002F2\u002F371\u002F1854649","Multiproduct bundling result supporting the need to model joint reservation-value distributions.",{"title":803,"url":804,"note":805},"Bhuwalka et al. — Hierarchical Bayesian regression for demand uncertainty","https:\u002F\u002Fonlinelibrary.wiley.com\u002Fdoi\u002F10.1111\u002Fjiec.13339","Illustrative partial-pooling evidence for uncertainty reduction in demand-style estimation.",{"title":807,"url":808,"note":809},"Elasticity-Based Demand Forecasting and Price Optimization for Online Retail","https:\u002F\u002Farxiv.org\u002Fpdf\u002F2106.08274","Online-retail elasticity forecasting and price-optimization method reference.",{"title":811,"url":812,"note":813},"Chernozhukov et al. — Double\u002Fdebiased machine learning for treatment and structural parameters","https:\u002F\u002Farxiv.org\u002Fabs\u002F1608.00060","Causal ML framework for estimating price effects from observational retail data while reducing confounding bias.",{"title":815,"url":816,"note":817},"BCG — Profiting from Personalization","https:\u002F\u002Fwww.bcg.com\u002Fpublications\u002F2017\u002Fretail-marketing-sales-profiting-personalization","Source for the 6-10% revenue-lift range from advanced personalization programs.",{"title":819,"url":820,"note":821},"Liu et al. — Impulse buying behavior during livestreaming","https:\u002F\u002Fpmc.ncbi.nlm.nih.gov\u002Farticles\u002FPMC10979273\u002F","Live-commerce scarcity, price perception, and impulse-buying mechanism reference.",{"title":823,"url":824,"note":825},"Frontiers in Psychology — Livestreaming e-commerce, flow experience, and time pressure","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fpsychology\u002Farticles\u002F10.3389\u002Ffpsyg.2022.1019024\u002Ffull","Empirical live-commerce study used for the time-pressure and urge-to-buy mechanism.",{"title":827,"url":828,"note":829},"Van Heerde, Gijsbrechts & Pauwels — Brand-Pack Size Cannibalization Arising from Temporary Price Promotions","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fabs\u002Fpii\u002FS002243591200005X","Source for the finding that roughly 22% of promoted pack-size uplift is borrowed from sibling pack sizes of the same brand.",{"title":831,"url":832,"note":833},"TikTok Business Help Center — About ads metrics in Seller Center","https:\u002F\u002Fads.tiktok.com\u002Fhelp\u002Farticle\u002Fabout-ads-metrics-in-seller-center","Current TikTok Shop Seller Center wording for Shop Ads and Data Compass reporting surfaces.",{"title":835,"url":836,"note":837},"Lazada Group — Southeast Asian ecommerce sellers and AI adoption","https:\u002F\u002Fen.prnasia.com\u002Freleases\u002Fapac\u002Fthree-in-four-southeast-asian-ecommerce-sellers-require-additional-support-in-their-ai-adoption-lazada-report-reveals-484620.shtml","Lazada-sourced release describing Business Advisor as an AI-powered analytics tool for seller performance insights.",{"title":839,"url":840,"note":841},"Simon-Kucher — Global Pricing Study 2025","https:\u002F\u002Fwww.simon-kucher.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fmedia-document\u002F2025-06\u002FCOR_GPS_2025_Brochure_Digital_Final.pdf","Pricing-power and AI-pricing adoption benchmark used to contextualize margin-pressure and price-realization claims.","blog\u002Fprice-elasticity-modeling-shopee-lazada-tiktok-shop",[844,845,846,847,848],"Price elasticity measures how much demand changes when you change price. Two SKUs in the same Shopee or Lazada shop can have completely different elasticities — and a uniform 15% discount across both is almost always the wrong move.","Marketplace sellers today rely on four heuristics: copy-the-competitor pricing, flat-discount-everything during sale events, weekend-discount loops that erode the customer's reference price, and gut-feel Bundle Deal configuration. All four leave significant margin on the table.","Elasticity modeling estimates how each SKU responds to price, with confidence intervals — letting sellers discount the price-sensitive items aggressively and protect margin on the inelastic ones.","Direct platform applications: optimal Shopee Bundle Deal threshold and discount, targeted Lazada FlexiCombo voucher segmentation, and live-stream pricing for TikTok Shop flash sales.","Published dynamic-pricing programs anchor the realistic target at 5-10% margin growth and 2-5% sales growth; DataGlass pilot work can exceed that range when catalogs have clean order-line data, high promotion frequency, and enough price variation to identify SKU-level response.","JRU4kfU5jMT9tNmz4r5tavLWxcxs9JLLvc05yqIx938",{"frontmatter":851,"meta":884,"nodes":921},{"title":558,"description":559,"seo":852,"category":350,"format":226,"platforms":853,"date":543,"updatedAt":543,"readMinutes":560,"tldr":854,"related":855,"sources":856,"cta":883},{"title":733,"description":734,"image":735},[210,213,216],[844,845,846,847,848],[704,612,660],[857,858,859,860,861,862,863,864,865,866,867,868,869,870,871,872,873,874,875,876,877,878,879,880,881,882],{"title":739,"url":740,"note":741},{"title":743,"url":744,"note":745},{"title":747,"url":748,"note":749},{"title":751,"url":752,"note":753},{"title":755,"url":756,"note":757},{"title":759,"url":760,"note":761},{"title":763,"url":764,"note":765},{"title":767,"url":768,"note":769},{"title":771,"url":772,"note":773},{"title":775,"url":776,"note":777},{"title":779,"url":780,"note":781},{"title":783,"url":784,"note":785},{"title":787,"url":788,"note":789},{"title":791,"url":792,"note":793},{"title":795,"url":796,"note":797},{"title":799,"url":800,"note":801},{"title":803,"url":804,"note":805},{"title":807,"url":808,"note":809},{"title":811,"url":812,"note":813},{"title":815,"url":816,"note":817},{"title":819,"url":820,"note":821},{"title":823,"url":824,"note":825},{"title":827,"url":828,"note":829},{"title":831,"url":832,"note":833},{"title":835,"url":836,"note":837},{"title":839,"url":840,"note":841},{"title":726,"body":727},{"toc":885},{"title":331,"searchDepth":386,"depth":386,"links":886},[887,890,893,896,899,912,915,918],{"id":888,"depth":386,"text":889},"the-pricing-question-every-seller-secretly-fears","The pricing question every seller secretly fears",{"id":891,"depth":386,"text":892},"what-elasticity-really-means-in-plain-language","What \"elasticity\" really means, in plain language",{"id":894,"depth":386,"text":895},"what-marketplace-sellers-are-doing-today-and-why-it-underperforms","What marketplace sellers are doing today (and why it underperforms)",{"id":897,"depth":386,"text":898},"what-elasticity-modeling-actually-gives-you","What elasticity modeling actually gives you",{"id":900,"depth":386,"text":901,"children":902},"three-use-cases-on-shopee-lazada-and-tiktok-shop","Three use cases on Shopee, Lazada, and TikTok Shop",[903,906,909],{"id":904,"depth":332,"text":905},"three-use-cases-on-shopee-lazada-and-tiktok-shop-use-case-1-shopee-bundle-deal-optimization","Use case 1 — Shopee Bundle Deal optimization",{"id":907,"depth":332,"text":908},"three-use-cases-on-shopee-lazada-and-tiktok-shop-use-case-2-lazada-flexicombo-and-voucher-stacking-strategy","Use case 2 — Lazada FlexiCombo and voucher-stacking strategy",{"id":910,"depth":332,"text":911},"three-use-cases-on-shopee-lazada-and-tiktok-shop-use-case-3-tiktok-shop-flash-sale-and-live-stream-pricing","Use case 3 — TikTok Shop flash-sale and live-stream pricing",{"id":913,"depth":386,"text":914},"what-changes-when-you-actually-know-your-elasticities","What changes when you actually know your elasticities",{"id":916,"depth":386,"text":917},"frequently-asked-questions","Frequently asked questions",{"id":919,"depth":386,"text":920},"key-takeaways","Key takeaways",[922,938,948,951,955,958,964,967,969,972,975,978,981,992,994,997,1064,1067,1069,1072,1088,1090,1093,1103,1106,1108,1115,1118,1120,1123,1130,1132,1135,1138,1141,1146,1149,1151,1157,1164,1168,1174,1186,1193,1199,1203,1205,1224,1233,1236,1248,1251],[923,924],"blog-stat-strip",{"items":925},[926,929,932,935],{"value":927,"label":928},"$157.6B","SEA platform GMV",{"value":930,"label":931},"98.8%","Top-three control",{"value":933,"label":934},"5-10%","Retail pricing upside",{"value":936,"label":937},"22%","Cross-SKU cannibalization",[939,940,942,943,947],"blog-question",{"question":941},"What is price elasticity modeling for marketplace sellers?","Price elasticity modeling estimates, for each product in a seller's catalog, how much unit demand changes in response to a price change. For sellers on Shopee, Lazada, and TikTok Shop, an elasticity model converts three inputs — historical sales data, platform promotional events, and a small amount of deliberately randomized price testing — into a per-SKU demand curve with confidence intervals. The model identifies which products are price-sensitive, which are not, and which Bundle Deal threshold, FlexiCombo configuration, or flash-sale depth maximizes profit under each seller's margin constraints ",[944,945],"blog-cite",{"n":946},"1",":blog-cite.",[949,950,889],"h2",{"id":888},[952,953,954],"p",{},"Every Shopee, Lazada, and TikTok Shop seller has had the same conversation with themselves at 11 pm the night before a major sale event. Should I drop the price by 10% or 20%? Should I run a Bundle Deal at \"buy 2, save 15%\" or \"buy 3, save 25%\"? Will dropping price by 5% give me 50% more units, or just shave 5% off my margin and change nothing?",[952,956,957],{},"The honest answer, in almost every seller's actual workflow, is nobody knows. The discount level gets picked by intuition, by what worked last 11.11, or by mirroring whatever the seller next door is doing. Then everyone watches the dashboard and hopes.",[952,959,960,961,947],{},"This is the gap that price elasticity modeling closes. It replaces guessing how customers will respond with estimating it from your own historical data, the platform's promotional history, and a small amount of deliberate experimentation. It is not a magic spreadsheet — it is a piece of analytical infrastructure. Built correctly, it is one of the highest-leverage investments a marketplace seller can make in pricing strategy ",[944,962],{"n":963},"9",[952,965,966],{},"This post explains, without math, what elasticity modeling actually does, why current seller workflows leave so much margin on the table, and how the lever applies concretely on Shopee, Lazada, and TikTok Shop.",[949,968,892],{"id":891},[952,970,971],{},"Strip away the textbook and price elasticity is one question: if I change my price, how much does demand change?",[952,973,974],{},"A high-elasticity product is price-sensitive: a 10% discount might pull 30% more units. Fast-moving consumer categories — beauty, fashion accessories, snack food — usually live here.",[952,976,977],{},"A low-elasticity product is price-insensitive: dropping the price by 10% might only pull 5% more units, which means the discount is mostly destroying margin. Specialty items, branded goods with loyal customers, and replenishment essentials usually live here.",[952,979,980],{},"Two products in the same shop, in the same category, can have very different elasticities. The seller's job is to act on that difference. The seller who discounts the elastic product hard and the inelastic product gently makes more money than the seller who discounts everything by the same 15%. That is the entire opportunity.",[952,982,983,984,987,988,991],{},"The catch is that elasticity is not visible to the naked eye. It does not appear on the Shopee Seller Centre dashboard. It is not in Lazada Business Advisor ",[944,985],{"n":986},"25",". It is not in TikTok Shop Seller Center's Data Compass ",[944,989],{"n":990},"24",". It has to be estimated — and estimating it well requires more than a rolling average of past sales.",[949,993,895],{"id":894},[952,995,996],{},"In the absence of real elasticity estimates, sellers fall back on four heuristics. All are common; none works as well as people assume.",[998,999,1000,1016],"table",{},[1001,1002,1003],"thead",{},[1004,1005,1006,1010,1013],"tr",{},[1007,1008,1009],"th",{},"Heuristic",[1007,1011,1012],{},"What it looks like",[1007,1014,1015],{},"Why it underperforms",[1017,1018,1019,1031,1042,1053],"tbody",{},[1004,1020,1021,1025,1028],{},[1022,1023,1024],"td",{},"Copy-the-competitor pricing",[1022,1026,1027],{},"Find the bestseller in the niche, undercut by a few percent",[1022,1029,1030],{},"You inherit a price set for their margin structure, inventory position, and ad spend — and race them to the bottom on yours",[1004,1032,1033,1036,1039],{},[1022,1034,1035],{},"Flat-discount-everything during sale events",[1022,1037,1038],{},"Uniform percent-off applied across the catalog for 9.9, 11.11, Lazada Birthday Sale, TikTok Mega Sale",[1022,1040,1041],{},"Subsidizes inelastic shoppers who would have bought at full price, and under-discounts the elastic SKUs that need a real cut to convert",[1004,1043,1044,1047,1050],{},[1022,1045,1046],{},"Reference-price erosion",[1022,1048,1049],{},"Routine weekly or weekend discounts",[1022,1051,1052],{},"Trains customers never to pay full price; the reference price drifts down and the seller's only remaining lever is deeper, more frequent cuts",[1004,1054,1055,1058,1061],{},[1022,1056,1057],{},"Bundle Deal by gut feel",[1022,1059,1060],{},"\"Buy 3, save 15%\" because 3 felt right",[1022,1062,1063],{},"Misses the optimal threshold (sometimes 2, sometimes 5) and the optimal discount (sometimes 8%, sometimes 22%) — leaving meaningful contribution unclaimed",[952,1065,1066],{},"The aggregate effect of these four heuristics is what we call the decision-intelligence gap: a structural margin loss that compounds quietly across thousands of small pricing choices. In internal DataGlass benchmarking across Southeast Asian marketplace cohorts, 2025-2026, this gap often separates single-digit-margin shops from healthier mid-teens-margin shops selling similar goods on the same platform.",[949,1068,898],{"id":897},[952,1070,1071],{},"A working elasticity model is not a single number per product. It is a conditional demand curve — a relationship that says at this price, with this inventory, on this day of the week, in this category, with this much ad pressure, the expected units sold is X, with a confidence interval. It produces three things sellers cannot get from a dashboard.",[1073,1074,1075,1079,1085],"ul",{},[1076,1077,1078],"li",{},"Per-SKU sensitivity classification. The model tells you which SKUs are price-sensitive and which are not. That alone changes how you allocate discounts during a sale event.",[1076,1080,1081,1082,947],{},"Response-curve shape, not just the slope at one point. The optimal discount is rarely 10% more than last time; it depends on how the curve bends around your current price. Modern systems estimate this from historical promotion variation, partial pooling across similar SKUs, and deliberate price tests ",[944,1083],{"n":1084},"17",[1076,1086,1087],{},"Calibrated uncertainty. The model gives you confidence bands around the elasticity estimate. A high-confidence elastic estimate lets you discount aggressively; a low-confidence estimate tells you to run a small holdout test before committing the whole catalog.",[949,1089,901],{"id":900},[1091,1092,905],"h3",{"id":904},[952,1094,1095,1096,1099,1100,947],{},"Shopee's Bundle Deal is a quantity-conditioned discount: a customer pays full price for one unit but unlocks a percent-off when they reach a threshold ",[944,1097],{"n":1098},"5",". This is second-degree price discrimination — elastic, multi-unit shoppers self-select into the discount; inelastic single-unit shoppers do not ",[944,1101],{"n":1102},"15",[952,1104,1105],{},"What elasticity modeling does here: picks the threshold (2? 3? 5?) and the discount percent (8%? 15%? 22%?) that maximize expected profit subject to your margin floor. In DataGlass pilot work, modeled-optimal Bundle Deal configurations have recovered single-digit to low-double-digit contribution lift on SKUs where basket structure and price variation are clean enough to identify the threshold effect. We treat the lift as category-specific rather than universal; the gain concentrates where the elasticity curve is steepest just above the threshold.",[1091,1107,908],{"id":907},[952,1109,1110,1111,1114],{},"Lazada's promotional surface is wider — FlexiCombo, Sponsored Discovery vouchers, store-wide vouchers, platform-wide vouchers — and the stacking rules interact in non-obvious ways ",[944,1112],{"n":1113},"6",".",[952,1116,1117],{},"What elasticity modeling does here: lets a seller decide where the voucher budget actually buys conversion versus where it just subsidizes loyal customers who would have bought anyway. The right voucher strategy on Lazada is rarely \"broadcast a 15% voucher to all followers\"; it is usually \"send a 22% voucher to the elastic segment of the follower base, and a 5% retention voucher to the inelastic segment.\" That segmentation is exactly what an elasticity model produces.",[1091,1119,911],{"id":910},[952,1121,1122],{},"TikTok Shop is structurally different — discovery is creator- and live-stream-driven, conversion windows are minutes rather than days, and the pricing decision is often made in real time during a live session.",[952,1124,1125,1126,1129],{},"What elasticity modeling does here: the principle is the same — match discount depth to demand sensitivity — but the time scale shifts to hours, not weeks. Elasticity models adapted for TikTok Shop emphasize the short-window, high-velocity case: how aggressively to drop price during a live, when to trigger flash-deal stacks, and how comment-driven boosts interact with discount depth ",[944,1127],{"n":1128},"21",":blog-cite:blog-cite.",[949,1131,914],{"id":913},[952,1133,1134],{},"Three things happen, in order, when a seller migrates from gut-feel pricing to elasticity-aware pricing.",[952,1136,1137],{},"Month 1. The discount mix flattens out. The catalog stops getting uniform 15% cuts and starts getting a long-tailed distribution where the top-elastic SKUs see deeper cuts and the inelastic SKUs see almost none. Net margin moves up despite no change in topline revenue.",[952,1139,1140],{},"Month 2. Sale-event configuration changes. 9.9 and 11.11 stop being a \"discount everything by the campaign minimum\" event and start being a targeted promotional plan. The same advertising spend pulls more orders because the discounts are landing on items that actually convert.",[952,1142,1143,1144,947],{},"Month 3. The seller stops running unprofitable promotions altogether. The elasticity model identifies which historical promotional decisions destroyed margin and which created it, and the calendar adjusts. This is when the cumulative gain becomes visible. Published dynamic-pricing programs anchor the realistic company-level envelope at 5-10% margin growth, with higher pilot gains possible in promotion-heavy catalogs ",[944,1145],{"n":963},[952,1147,1148],{},"That is the prize. It is not glamorous. It is not viral. But it is the most reliable upgrade in the marketplace-seller's analytical playbook, and on Shopee, Lazada, and TikTok Shop — where every basis point of margin matters because the platform is taking its share — it is the lever that separates the shops that compound from the shops that survive.",[949,1150,917],{"id":916},[939,1152,1154,1155,947],{"question":1153},"What is price elasticity in e-commerce?","Price elasticity in e-commerce is a numerical measure of how much unit demand for a product changes when its price changes. A high-elasticity product gains many additional units sold per percent of price reduction; a low-elasticity product gains few. Marketplace sellers use elasticity estimates to set discount depth, configure Bundle Deals, and target vouchers ",[944,1156],{"n":946},[939,1158,1160,1161,1129],{"question":1159},"Why can't sellers just look at past sales to know their elasticity?","Past sales reflect both price changes and everything else that was happening at the same time — seasonality, ad spend, competitor moves, platform-wide campaigns. A simple regression of sales on price typically gives a biased answer because price is endogenous: sellers raise prices when demand is strong, so the naive correlation between price and demand is too flat. Modern elasticity modeling uses methods like double machine learning, hierarchical Bayesian regression, and deliberately randomized perturbation experiments to separate the causal price effect from confounders ",[944,1162],{"n":1163},"13",[939,1165,1167],{"question":1166},"How is elasticity modeling different from a Shopee or Lazada dashboard report?","Platform dashboards report what happened — units sold, revenue, conversion rate. They do not estimate what would have happened under a different price. Elasticity modeling is causal: it produces a counterfactual demand curve so the seller can compare expected outcomes across alternative pricing decisions before committing.",[939,1169,1171,1172,947],{"question":1170},"Does elasticity modeling work for new SKUs with little sales history?","Yes, but only if the model uses partial pooling — borrowing strength from similar SKUs in the same category. A new listing inherits a starting elasticity from its category prior, then updates as its own data accumulates. Models without partial pooling tend to fail on new and long-tail SKUs ",[944,1173],{"n":1084},[939,1175,1177,1178,1180,1181,1183,1184,947],{"question":1176},"Which platform benefits most from elasticity modeling — Shopee, Lazada, or TikTok Shop?","All three benefit, but the highest-leverage applications differ. Shopee's Bundle Deal is the cleanest single lever because it is a structurally well-defined price-discrimination mechanism ",[944,1179],{"n":1098},":blog-cite:blog-cite. Lazada's voucher stack benefits most from elasticity-driven segmentation ",[944,1182],{"n":1113},". TikTok Shop benefits most from short-window, live-stream pricing, where time pressure makes intuition-based decisions least reliable ",[944,1185],{"n":1128},[939,1187,1189,1190,1192],{"question":1188},"Is this the same as dynamic pricing?","It is one of the foundations of dynamic pricing, but not the same thing. Elasticity modeling is the measurement layer; dynamic pricing is the automation layer that uses elasticity estimates to reset prices on a schedule or in response to events ",[944,1191],{"n":963},". A working elasticity model is necessary for any non-trivial dynamic-pricing system, but a seller can capture much of the contribution gain from elasticity modeling alone, by manually setting better discounts informed by the model.",[939,1194,1196,1197,947],{"question":1195},"What's the typical timeline to see margin improvement?","For sellers migrating from gut-feel to elasticity-aware pricing, the discount mix typically flattens in month 1, sale-event configuration improves in month 2, and the cumulative margin improvement becomes visible by month 3. Published dynamic-pricing programs anchor the realistic company-level envelope at 5-10% margin growth, with higher pilot gains possible in promotion-heavy catalogs ",[944,1198],{"n":963},[939,1200,1202],{"question":1201},"Do I need a data scientist on staff?","For a small catalog, no — a managed decision-intelligence platform can deliver elasticity-aware pricing as a service. For a larger catalog with cross-elasticities, category-specific dynamics, and integration into ad spend (where the same demand model feeds both price and budget decisions), the answer becomes \"yes, or a partner who provides one.\"",[949,1204,920],{"id":919},[1073,1206,1207,1210,1213,1216,1219],{},[1076,1208,1209],{},"Price elasticity is a per-SKU number that determines whether a discount creates margin or destroys it.",[1076,1211,1212],{},"The four common seller heuristics — competitor copying, flat discounting, weekly reruns, and gut-feel Bundle Deal configuration — all systematically misallocate discount budget.",[1076,1214,1215],{},"Elasticity modeling produces three things a dashboard cannot: per-SKU sensitivity, full curve shape, and calibrated uncertainty.",[1076,1217,1218],{},"On Shopee, the highest-leverage application is Bundle Deal optimization. On Lazada, voucher segmentation. On TikTok Shop, live-stream and flash-sale depth.",[1076,1220,1221,1222,947],{},"A realistic public benchmark is 5-10% margin growth from dynamic-pricing programs, with higher pilot gains possible when a catalog has enough promotion history and price variation ",[944,1223],{"n":963},[939,1225,1227,1228,1230,1231,947],{"question":1226},"Why is a flat 15% discount across all my SKUs the wrong way to run a Shopee promotion?","Because price elasticity varies by SKU. A 10% discount might pull 30% more units on a fashion accessory (high elasticity) and only 3% more on a niche office cabinet (low elasticity) ",[944,1229],{"n":946},":blog-cite. A flat 15% across the catalog over-cuts the inelastic items (margin given up for no volume) and under-cuts the elastic items (volume left on the table). Calibrated elasticity models adjust depth per SKU so each unit of margin given up earns the volume it's actually worth — published dynamic-pricing programs anchor the realistic range at 5–10% margin growth and 2–5% sales growth from doing this correctly ",[944,1232],{"n":963},[1234,1235],"hr",{},[952,1237,1238,1239,1243,1244,1114],{},"About DataGlass. DataGlass Labs Research builds decision-intelligence infrastructure for marketplace sellers across Southeast Asia. To explore a pilot or integration, visit ",[1240,1241,1242],"a",{"href":52},"DataGlass contact"," or email ",[1240,1245,1247],{"href":1246},"mailto:teams@dataglasslabs.com","teams@dataglasslabs.com",[952,1249,1250],{},"Cite as: DataGlass Labs Research, \"Price elasticity modeling for marketplace sellers — why Shopee, Lazada, and TikTok Shop pricing decisions need it,\" DataGlass Labs Research blog, 7 May 2026.",[1234,1252],{},[1254,1255,1256,1257,1258,1263,1264,1265],{"id":888,"depth":386,"text":889},{"id":891,"depth":386,"text":892},{"id":894,"depth":386,"text":895},{"id":897,"depth":386,"text":898},{"id":900,"depth":386,"text":901,"children":1259},[1260,1261,1262],{"id":904,"depth":332,"text":905},{"id":907,"depth":332,"text":908},{"id":910,"depth":332,"text":911},{"id":913,"depth":386,"text":914},{"id":916,"depth":386,"text":917},{"id":919,"depth":386,"text":920},{"id":1267,"categories":1268,"domain":1275,"extension":5,"fallback":1276,"home":1279,"industry":1288,"meta":1293,"pricing":1294,"stem":1306,"__hash__":1307},"og_en\u002Fen\u002Fog.yml",[1269,1270,1271,1272,1273,1274],{"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":1277,"description":1278},"DataGlass","The decision engine for Shopee, Lazada and TikTok Shop sellers.",{"chart":1280,"metrics":1281},"Net profit, last 30 days",[1282,1285],{"label":1283,"value":1284},"Net profit","฿1.24M",{"label":1286,"value":1287},"Profit ROAS","3.4x",{"axis":1289,"point":1290},"Ad spend",{"label":1291,"value":1292},"Next baht still pays","+฿0.42",{},{"plans":1295},[1296,1300,1303],{"name":1297,"price":1298,"period":1299},"Free","฿0","\u002Fmonth",{"name":1301,"price":1302,"period":1299},"Standard","฿1,499",{"name":1304,"price":1305,"period":1299},"Pro","฿2,499","en\u002Fog","63L8y4Lv8I2q3NvR26fMXU1sE9Wd7TZaz2l_tV6oZuo",[],1792784995508]