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    <title>DataGlass Blog</title>
    <link>https://www.dataglasslabs.com/blog</link>
    <description>Field notes from DataGlass on profit, pricing, ads, and inventory for Shopee, Lazada, and TikTok Shop sellers.</description>
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    <item>
      <title>How Shopee ads bidding works: what your Target ROAS and budget actually do to a bid</title>
      <link>https://www.dataglasslabs.com/blog/how-shopee-ads-bidding-works</link>
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      <pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Labs Research</dc:creator>
      <category>Ads</category>
      <description>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.</description>
    </item>
    <item>
      <title>Break-even ROAS is the zero line: the Target ROAS that actually maximizes Shopee profit</title>
      <link>https://www.dataglasslabs.com/blog/profit-maximizing-target-roas</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/profit-maximizing-target-roas</guid>
      <pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Labs Research</dc:creator>
      <category>Ads</category>
      <description>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.</description>
    </item>
    <item>
      <title>Shopee ad benchmarks 2026: what a click and a thousand impressions actually cost</title>
      <link>https://www.dataglasslabs.com/blog/shopee-ads-benchmarks-cpc-cpm</link>
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      <pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Labs Research</dc:creator>
      <category>Data Science</category>
      <description>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.</description>
    </item>
    <item>
      <title>CTR and Target ROAS under CPM vs CPC: what changes when marketplaces bill for impressions</title>
      <link>https://www.dataglasslabs.com/blog/ctr-target-roas-cpm-vs-cpc</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/ctr-target-roas-cpm-vs-cpc</guid>
      <pubDate>Tue, 18 Aug 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Labs Research</dc:creator>
      <category>Ads</category>
      <description>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/(1+g). Five lemmas on the transition, and why click-through rate is the input most marketplace sellers are least prepared to have priced.</description>
    </item>
    <item>
      <title>What is ROAS — and why a high ROAS doesn&apos;t always mean more sales or more profit</title>
      <link>https://www.dataglasslabs.com/blog/what-is-roas</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/what-is-roas</guid>
      <pubDate>Mon, 01 Jun 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Ads</category>
      <description>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.</description>
    </item>
    <item>
      <title>What is Target ROAS? How to set it in Shopee GMV Max without burning profit</title>
      <link>https://www.dataglasslabs.com/blog/how-to-set-target-roas-gmv-max</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/how-to-set-target-roas-gmv-max</guid>
      <pubDate>Sat, 30 May 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Ads</category>
      <description>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.</description>
    </item>
    <item>
      <title>What is e-commerce optimization?</title>
      <link>https://www.dataglasslabs.com/blog/what-is-ecommerce-optimization</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/what-is-ecommerce-optimization</guid>
      <pubDate>Fri, 29 May 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Data Science</category>
      <description>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.</description>
    </item>
    <item>
      <title>Platform ROAS vs true ROAS: why your ads make sales but no profit</title>
      <link>https://www.dataglasslabs.com/blog/platform-roas-vs-true-roas</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/platform-roas-vs-true-roas</guid>
      <pubDate>Fri, 29 May 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Ads</category>
      <description>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.</description>
    </item>
    <item>
      <title>How to cut Shopee seller costs: the supply-side margin audit</title>
      <link>https://www.dataglasslabs.com/blog/how-to-increase-shopee-profit-without-more-sales</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/how-to-increase-shopee-profit-without-more-sales</guid>
      <pubDate>Fri, 08 May 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Profit</category>
      <description>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.</description>
    </item>
    <item>
      <title>How to sell more on Shopee without burning margin</title>
      <link>https://www.dataglasslabs.com/blog/how-to-sell-more-on-shopee</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/how-to-sell-more-on-shopee</guid>
      <pubDate>Fri, 08 May 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Ads</category>
      <description>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.</description>
    </item>
    <item>
      <title>Price elasticity modeling for marketplace sellers — why Shopee, Lazada, and TikTok Shop pricing decisions need it</title>
      <link>https://www.dataglasslabs.com/blog/price-elasticity-modeling-shopee-lazada-tiktok-shop</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/price-elasticity-modeling-shopee-lazada-tiktok-shop</guid>
      <pubDate>Thu, 07 May 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Labs Research</dc:creator>
      <category>Pricing</category>
      <description>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.</description>
    </item>
    <item>
      <title>Shopee optimization in 2026 is a feedback loop, not a checklist</title>
      <link>https://www.dataglasslabs.com/blog/shopee-optimization-in-2026</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/shopee-optimization-in-2026</guid>
      <pubDate>Mon, 04 May 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Operations</category>
      <description>The popular &quot;10 ways to optimize your Shopee shop&quot; 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.</description>
    </item>
    <item>
      <title>Shopee Sellers in 2026: Southeast Asia E-commerce Market Research, GMV &amp; Seller Economics</title>
      <link>https://www.dataglasslabs.com/blog/southeast-asia-seller-market-research-2026</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/southeast-asia-seller-market-research-2026</guid>
      <pubDate>Mon, 04 May 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Landscape</category>
      <description>Market growth has resumed; seller economics have become more exacting. Southeast Asia&apos;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 &quot;how big is the market?&quot; — it is &quot;who controls the decision loop?&quot;</description>
    </item>
    <item>
      <title>Shopee fee structure and commission calculation in 2026: the six layers, the four-term formula</title>
      <link>https://www.dataglasslabs.com/blog/shopee-fee-structure-2026</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/shopee-fee-structure-2026</guid>
      <pubDate>Sun, 03 May 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Operations</category>
      <description>Most &apos;Shopee fees&apos; 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.</description>
    </item>
    <item>
      <title>Cross-platform ad budget allocation for SEA marketplace sellers</title>
      <link>https://www.dataglasslabs.com/blog/cross-platform-ad-budget-allocation</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/cross-platform-ad-budget-allocation</guid>
      <pubDate>Wed, 29 Apr 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Ads</category>
      <description>Most multi-platform sellers split ad budget across Shopee, Lazada, and TikTok Shop by historical revenue share. The math says that&apos;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.</description>
    </item>
    <item>
      <title>Why scaling Shopee ad budget grows revenue and shrinks profit</title>
      <link>https://www.dataglasslabs.com/blog/how-to-increase-profit-on-shopee</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/how-to-increase-profit-on-shopee</guid>
      <pubDate>Wed, 22 Apr 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Ads</category>
      <description>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.</description>
    </item>
    <item>
      <title>How to increase profit on Lazada in 2026</title>
      <link>https://www.dataglasslabs.com/blog/how-to-increase-profit-on-lazada</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/how-to-increase-profit-on-lazada</guid>
      <pubDate>Wed, 15 Apr 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Profit</category>
      <description>The LazMall badge lifts conversion. It also raises commission, mandates free-shipping subsidies, and pulls the price ceiling down through the platform&apos;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.</description>
    </item>
    <item>
      <title>How to reduce Shopee ad waste without killing sales</title>
      <link>https://www.dataglasslabs.com/blog/how-to-reduce-shopee-ad-waste</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/how-to-reduce-shopee-ad-waste</guid>
      <pubDate>Wed, 08 Apr 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Ads</category>
      <description>On a typical Shopee account, 20–30% of ad spend runs at a structural loss the platform dashboard ranks as winning campaigns. Pausing &quot;underperformers&quot; 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.</description>
    </item>
    <item>
      <title>How to calculate Shopee seller margin</title>
      <link>https://www.dataglasslabs.com/blog/how-to-calculate-shopee-seller-margin</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/how-to-calculate-shopee-seller-margin</guid>
      <pubDate>Sun, 05 Apr 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Profit</category>
      <description>The math, the inputs, and the program-specific traps. Why Shopee&apos;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.</description>
    </item>
    <item>
      <title>How to calculate Lazada seller margin</title>
      <link>https://www.dataglasslabs.com/blog/how-to-calculate-lazada-seller-margin</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/how-to-calculate-lazada-seller-margin</guid>
      <pubDate>Wed, 01 Apr 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Profit</category>
      <description>The math, the inputs, and the program-specific traps. Why Lazada&apos;s in-platform P&amp;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.</description>
    </item>
    <item>
      <title>How to calculate true Shopee ROAS for profit</title>
      <link>https://www.dataglasslabs.com/blog/how-to-calculate-true-shopee-roas</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/how-to-calculate-true-shopee-roas</guid>
      <pubDate>Wed, 25 Mar 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Ads</category>
      <description>A methodology note. Shopee&apos;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.</description>
    </item>
    <item>
      <title>How to reduce Lazada ad waste</title>
      <link>https://www.dataglasslabs.com/blog/how-to-reduce-lazada-ad-waste</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/how-to-reduce-lazada-ad-waste</guid>
      <pubDate>Wed, 18 Mar 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Ads</category>
      <description>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.</description>
    </item>
    <item>
      <title>How to find low-margin SKUs on Shopee</title>
      <link>https://www.dataglasslabs.com/blog/how-to-find-low-margin-skus-on-shopee</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/how-to-find-low-margin-skus-on-shopee</guid>
      <pubDate>Thu, 12 Mar 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Profit</category>
      <description>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&apos;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.</description>
    </item>
    <item>
      <title>How to plan Lazada campaigns around profit</title>
      <link>https://www.dataglasslabs.com/blog/how-to-plan-lazada-campaigns-around-profit</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/how-to-plan-lazada-campaigns-around-profit</guid>
      <pubDate>Wed, 04 Mar 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Pricing</category>
      <description>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.</description>
    </item>
    <item>
      <title>How to increase profit on TikTok Shop in 2026</title>
      <link>https://www.dataglasslabs.com/blog/how-to-increase-profit-on-tiktok-shop</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/how-to-increase-profit-on-tiktok-shop</guid>
      <pubDate>Thu, 26 Feb 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Profit</category>
      <description>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.</description>
    </item>
    <item>
      <title>The SEA marketplace in 2026: a fragmented arena with one survival rule</title>
      <link>https://www.dataglasslabs.com/blog/sea-marketplace-2026</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/sea-marketplace-2026</guid>
      <pubDate>Sun, 22 Feb 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Landscape</category>
      <description>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.</description>
    </item>
    <item>
      <title>Data ingestion for Shopee sellers: why zero-setup analytics matters</title>
      <link>https://www.dataglasslabs.com/blog/data-ingestion-for-shopee-sellers</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/data-ingestion-for-shopee-sellers</guid>
      <pubDate>Wed, 18 Feb 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Data Science</category>
      <description>Most Shopee sellers don&apos;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.</description>
    </item>
    <item>
      <title>The race to zero margin — and how Shopee, Lazada, and TikTok Shop got there</title>
      <link>https://www.dataglasslabs.com/blog/race-to-zero-margin</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/race-to-zero-margin</guid>
      <pubDate>Sun, 08 Feb 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Competition</category>
      <description>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.</description>
    </item>
    <item>
      <title>ML demand forecasting for e-commerce sellers</title>
      <link>https://www.dataglasslabs.com/blog/ml-demand-forecasting-for-ecommerce</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/ml-demand-forecasting-for-ecommerce</guid>
      <pubDate>Wed, 04 Feb 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Data Science</category>
      <description>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.</description>
    </item>
    <item>
      <title>Complexity is the new tax on small sellers</title>
      <link>https://www.dataglasslabs.com/blog/complexity-is-the-tax</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/complexity-is-the-tax</guid>
      <pubDate>Sun, 25 Jan 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Complexity</category>
      <description>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&apos;s the single biggest reason multi-shop operators stall before they reach scale.</description>
    </item>
    <item>
      <title>Stockout math for e-commerce sellers</title>
      <link>https://www.dataglasslabs.com/blog/inventory-stockout-math-ecommerce</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/inventory-stockout-math-ecommerce</guid>
      <pubDate>Sun, 18 Jan 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Operations</category>
      <description>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.</description>
    </item>
    <item>
      <title>Dynamic pricing for marketplace sellers</title>
      <link>https://www.dataglasslabs.com/blog/dynamic-pricing-ecommerce-marketplaces</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/dynamic-pricing-ecommerce-marketplaces</guid>
      <pubDate>Sun, 04 Jan 2026 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Pricing</category>
      <description>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.</description>
    </item>
    <item>
      <title>E-commerce Decision Engine: How Marketplace Sellers Turn Data Into Profit Recommendations</title>
      <link>https://www.dataglasslabs.com/blog/how-ecommerce-decision-engines-work</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/how-ecommerce-decision-engines-work</guid>
      <pubDate>Fri, 12 Dec 2025 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Data Science</category>
      <description>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.</description>
    </item>
    <item>
      <title>Multi-shop analytics for Shopee, Lazada, and TikTok Shop sellers</title>
      <link>https://www.dataglasslabs.com/blog/multi-shop-analytics-lazada-shopee-tiktok</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/multi-shop-analytics-lazada-shopee-tiktok</guid>
      <pubDate>Wed, 26 Nov 2025 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Operations</category>
      <description>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.</description>
    </item>
    <item>
      <title>The new competitive world of commerce</title>
      <link>https://www.dataglasslabs.com/blog/new-competitive-world-of-commerce</link>
      <guid isPermaLink="true">https://www.dataglasslabs.com/blog/new-competitive-world-of-commerce</guid>
      <pubDate>Wed, 12 Nov 2025 00:00:00 +0000</pubDate>
      <dc:creator>DataGlass Research</dc:creator>
      <category>Landscape</category>
      <description>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.</description>
    </item>
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