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step, then track how they performed.",[471,778,779,783],{"icon":499,"to":82},[308,780,781],{"v-slot:name":310},[312,782,504],{},[308,784,785],{"v-slot:description":310},[312,786,787],{},"Act on a recommendation in one click, without digging through Seller Center menus.",[308,789,790,803,816,829],{"v-slot:capabilities":310},[513,791,793,798],{"ui":792},"one-click-deploy",[308,794,795],{"v-slot:title":310},[312,796,797],{},"One-click deployment",[308,799,800],{"v-slot:description":310},[312,801,802],{},"Deploy supported optimization recommendations directly to marketplace accounts.",[513,804,806,811],{"ui":805},"bulk-deploy",[308,807,808],{"v-slot:title":310},[312,809,810],{},"Bulk execution",[308,812,813],{"v-slot:description":310},[312,814,815],{},"Apply multiple campaign adjustments together.",[513,817,819,824],{"ui":818},"auto-bid",[308,820,821],{"v-slot:title":310},[312,822,823],{},"Automated optimization",[308,825,826],{"v-slot:description":310},[312,827,828],{},"Allow supported 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marketplace.",[845,882,883,888],{},[308,884,885],{"v-slot:title":310},[312,886,887],{},"Track",[308,889,890],{"v-slot:description":310},[312,891,892],{},"Follow every deployed change and the performance after it.",[308,894,895],{"v-slot:coreValue":310},[312,896,897],{},"Insights don't create results until they're executed.",[434,899,903,908,913,929,964,1031,1036],{":cta":436,"id":900,"media-label":901,"verb":902},"mmm","Baseline vs marketing contribution","Measure",[308,904,905],{"v-slot:title":310},[312,906,907],{},"Know what actually drives your sales.",[308,909,910],{"v-slot:description":310},[312,911,912],{},"Model how advertising, promotions, seasonality and organic demand contribute to performance, beyond platform-reported attribution.",[308,914,915],{"v-slot:highlights":310},[453,916,917,920,923,926],{},[456,918,919],{},"Baseline demand separated from marketing",[456,921,922],{},"Incremental sales per channel",[456,924,925],{},"Diminishing returns as spend grows",[456,927,928],{},"Budget scenarios before you commit",[308,930,931,942,953],{"v-slot:audiences":310},[471,932,933,937],{"icon":626,"to":73},[308,934,935],{"v-slot:name":310},[312,936,631],{},[308,938,939],{"v-slot:description":310},[312,940,941],{},"Know which channels really grow sales before you set next quarter’s budget.",[471,943,944,948],{"icon":639,"to":79},[308,945,946],{"v-slot:name":310},[312,947,644],{},[308,949,950],{"v-slot:description":310},[312,951,952],{},"Report results with baseline demand separated from what marketing added.",[471,954,955,959],{"icon":473,"to":76},[308,956,957],{"v-slot:name":310},[312,958,478],{},[308,960,961],{"v-slot:description":310},[312,962,963],{},"Plan budget scenarios on response curves, not last month’s ROAS.",[308,965,966,979,992,1005,1018],{"v-slot:capabilities":310},[513,967,969,974],{"ui":968},"sales-decomposition",[308,970,971],{"v-slot:title":310},[312,972,973],{},"Sales decomposition",[308,975,976],{"v-slot:description":310},[312,977,978],{},"Separate modeled baseline demand from advertising and promotional contributions.",[513,980,982,987],{"ui":981},"incrementality",[308,983,984],{"v-slot:title":310},[312,985,986],{},"Incrementality estimation",[308,988,989],{"v-slot:description":310},[312,990,991],{},"Estimate the additional sales attributable to marketing activities.",[513,993,995,1000],{"ui":994},"channel-effectiveness",[308,996,997],{"v-slot:title":310},[312,998,999],{},"Channel effectiveness",[308,1001,1002],{"v-slot:description":310},[312,1003,1004],{},"Compare modeled advertising effectiveness across channels.",[513,1006,1008,1013],{"ui":1007},"response-curve",[308,1009,1010],{"v-slot:title":310},[312,1011,1012],{},"Response curves",[308,1014,1015],{"v-slot:description":310},[312,1016,1017],{},"Estimate diminishing returns as advertising spend increases.",[513,1019,1021,1026],{"ui":1020},"budget-scenario",[308,1022,1023],{"v-slot:title":310},[312,1024,1025],{},"Budget scenario planning",[308,1027,1028],{"v-slot:description":310},[312,1029,1030],{},"Forecast potential outcomes under different marketing allocations.",[308,1032,1033],{"v-slot:note":310},[312,1034,1035],{},"Marketing mix modeling is offered according to its release status and the data coverage of your shops.",[308,1037,1038],{"v-slot:coreValue":310},[312,1039,1040],{},"Understand what creates demand, not just what receives credit for it.",[1042,1043,1045,1049,1054,1154,1227,1232],"landing-agent",{":assistant":1044,":cta":303},"{\"cta\":{\"label\":\"Set up the MCP server\",\"to\":\"https:\u002F\u002Flearn.dataglasslabs.com\u002Fdocs\u002Fai-and-api\u002Fassistants\"},\"title\":\"Shopee profit drop\",\"history\":[\"11.11 ad budget plan\",\"Lazada fee check\",\"TikTok ROAS by SKU\"],\"account\":\"Ploy\",\"devices\":{\"desktop\":\"Desktop\",\"mobile\":\"Mobile\"},\"assistants\":[{\"name\":\"ChatGPT\",\"question\":\"Why did profit on my Shopee shop drop last week?\",\"tool\":{\"connector\":\"DataGlass\",\"name\":\"get_financial_overview\",\"rows\":[{\"label\":\"Realized profit\",\"value\":\"฿84,200\"},{\"label\":\"Change vs previous week\",\"value\":\"-6.1%\"},{\"label\":\"Ad spend\",\"value\":\"฿31,500\"}]},\"answer\":\"Profit fell 6.1% on the week before, and most of the drop is ad spend: two campaigns raised spend without bringing more orders. Here is the week from your Shopee shop:\",\"ui\":{\"placeholder\":\"Ask anything\",\"placeholderMobile\":\"Ask ChatGPT\",\"newChat\":\"New chat\",\"recents\":\"Recents\",\"model\":\"GPT-5\",\"thought\":\"Thought for 4s\",\"called\":\"Called\"}},{\"name\":\"Claude\",\"question\":\"Why did profit on my Shopee shop drop last week?\",\"tool\":{\"connector\":\"DataGlass\",\"name\":\"get_financial_overview\",\"rows\":[{\"label\":\"Realized profit\",\"value\":\"฿84,200\"},{\"label\":\"Change vs previous week\",\"value\":\"-6.1%\"},{\"label\":\"Ad spend\",\"value\":\"฿31,500\"}]},\"answer\":\"Profit fell 6.1% on the week before, and most of the drop is ad spend: two campaigns raised spend without bringing more orders. Here is the week from your Shopee shop:\",\"ui\":{\"placeholder\":\"Reply to Claude…\",\"newChat\":\"New chat\",\"recents\":\"Recents\",\"model\":\"Opus 4.6\",\"modelMobile\":\"Opus\"}}]}",[308,1046,1047],{"v-slot:title":310},[312,1048,133],{},[308,1050,1051],{"v-slot:continuation":310},[312,1052,1053],{},"Give DataGlass Agent a question or goal. It investigates your shop data, plans the steps, and turns findings into recommended actions, all while keeping you in control.",[308,1055,1056,1086,1115,1141],{"v-slot:flow":310},[1057,1058,1060,1065,1070],"landing-agent-step",{"label":1059},"Goal",[308,1061,1062],{"v-slot:title":310},[312,1063,1064],{},"Give the agent a goal",[308,1066,1067],{"v-slot:description":310},[312,1068,1069],{},"Ask a question or set an objective in plain language, such as lifting profit on one shop.",[308,1071,1072],{"v-slot:sceneLines":310},[453,1073,1074,1077,1080,1083],{},[456,1075,1076],{},"Why did profit drop?",[456,1078,1079],{},"Lift margin on top SKUs",[456,1081,1082],{},"Find ads wasting budget",[456,1084,1085],{},"Plan my 11.11 ad budget",[1057,1087,1089,1094,1099],{"label":1088},"Fetch shop data",[308,1090,1091],{"v-slot:title":310},[312,1092,1093],{},"It fetches your shop data",[308,1095,1096],{"v-slot:description":310},[312,1097,1098],{},"Sales, advertising, costs and margins come straight from your connected shops.",[308,1100,1101],{"v-slot:sceneLines":310},[453,1102,1103,1106,1109,1112],{},[456,1104,1105],{},"Orders",[456,1107,1108],{},"Advertising",[456,1110,1111],{},"Products",[456,1113,1114],{},"Costs",[1057,1116,1118,1123,1128],{"label":1117},"Plan steps",[308,1119,1120],{"v-slot:title":310},[312,1121,1122],{},"It plans the steps",[308,1124,1125],{"v-slot:description":310},[312,1126,1127],{},"The agent decides what to analyze next and in which order.",[308,1129,1130],{"v-slot:sceneLines":310},[453,1131,1132,1135,1138],{},[456,1133,1134],{},"Compare profit to last week",[456,1136,1137],{},"Split ad spend by campaign",[456,1139,1140],{},"Rank fixes by profit impact",[1057,1142,1144,1149],{"label":1143,"scene-text":1143},"Approve",[308,1145,1146],{"v-slot:title":310},[312,1147,1148],{},"You approve",[308,1150,1151],{"v-slot:description":310},[312,1152,1153],{},"Findings become recommended actions, each with its expected effect on profit. Nothing reaches your shop until you approve it.",[308,1155,1156,1171,1185,1199,1213],{"v-slot:capabilities":310},[1157,1158,1161,1166],"landing-agent-capability",{"media-label":1159,"ui":1160},"Question answered from shop data","agent-ask",[308,1162,1163],{"v-slot:title":310},[312,1164,1165],{},"Ask your business anything",[308,1167,1168],{"v-slot:description":310},[312,1169,1170],{},"Ask about sales, advertising, margins, and performance in natural language.",[1157,1172,1175,1180],{"media-label":1173,"ui":1174},"Investigation trace","agent-investigate",[308,1176,1177],{"v-slot:title":310},[312,1178,1179],{},"Investigate problems automatically",[308,1181,1182],{"v-slot:description":310},[312,1183,1184],{},"Find why profit is falling, which campaigns are inefficient, or where costs are rising.",[1157,1186,1189,1194],{"media-label":1187,"ui":1188},"Multi-step plan","agent-plan",[308,1190,1191],{"v-slot:title":310},[312,1192,1193],{},"Plan toward your goals",[308,1195,1196],{"v-slot:description":310},[312,1197,1198],{},"Set an objective; the agent decides what to analyze and which actions to propose.",[1157,1200,1203,1208],{"media-label":1201,"ui":1202},"Scheduled workflow","agent-schedule",[308,1204,1205],{"v-slot:title":310},[312,1206,1207],{},"Run recurring workflows",[308,1209,1210],{"v-slot:description":310},[312,1211,1212],{},"Automate supported daily checks, analyses, and operational tasks.",[1157,1214,1217,1222],{"media-label":1215,"ui":1216},"Actions awaiting approval","agent-approve",[308,1218,1219],{"v-slot:title":310},[312,1220,1221],{},"Approve before execution",[308,1223,1224],{"v-slot:description":310},[312,1225,1226],{},"Review recommended actions before any change reaches your shop.",[308,1228,1229],{"v-slot:assistantTitle":310},[312,1230,1231],{},"Your shops, in the chat you already use.",[308,1233,1234],{"v-slot:assistantContinuation":310},[312,1235,1236],{},"DataGlass works inside ChatGPT and Claude through its MCP server.",[1238,1239,1240,1245,1250],"landing-steps",{},[308,1241,1242],{"v-slot:title":310},[312,1243,1244],{},"From your data to better decisions. Automatically.",[308,1246,1247],{"v-slot:description":310},[312,1248,1249],{},"Connect your shops once. DataGlass reconciles the numbers, models what happens next and puts the best move in front of you.",[308,1251,1252,1293,1327,1371],{"v-slot:steps":310},[1253,1254,1258,1263,1268],"landing-step",{"label":1255,"media-label":1256,"link-label":1257,"link-to":25},"Connect","Artwork: shop connections","See integrations",[308,1259,1260],{"v-slot:title":310},[312,1261,1262],{},"Connect your shops in minutes.",[308,1264,1265],{"v-slot:description":310},[312,1266,1267],{},"Securely link your Shopee, Lazada, and TikTok Shop accounts and set your product costs.",[308,1269,1270,1283],{"v-slot:rows":310},[1271,1272,1278],"landing-step-row",{"media-label":1273,"media-src":1274,":media-scene-lines":1275,"media-scene":1276,"media-scene-text":1277},"Screenshot: connected shops","\u002Fartwork\u002Fapp\u002Fconnected-shops.webp","[\"Syncing products…\",\"Syncing ads…\",\"Syncing orders…\",\"Synced\"]","connect","Add shop",[308,1279,1280],{"v-slot:title":310},[312,1281,1282],{},"Link every marketplace once",[1271,1284,1288],{"media-label":1285,"media-src":1286,"media-ui":1287},"Screenshot: COGS upload","\u002Fartwork\u002Fapp\u002Fcogs-upload.webp","cogs-entry",[308,1289,1290],{"v-slot:title":310},[312,1291,1292],{},"Set product costs",[1253,1294,1297,1302,1307],{"label":1295,"media-label":1296},"Analyze","Artwork: reconciliation",[308,1298,1299],{"v-slot:title":310},[312,1300,1301],{},"Understand your true profit.",[308,1303,1304],{"v-slot:description":310},[312,1305,1306],{},"DataGlass continuously syncs and reconciles orders, ads, products, and expenses to reconstruct your unit economics and advertising performance.",[308,1308,1309,1318],{"v-slot:rows":310},[1271,1310,1313],{"media-label":1311,"media-src":1312},"Screenshot: profit breakdown","\u002Fartwork\u002Fapp\u002Fprofit-breakdown.webp",[308,1314,1315],{"v-slot:title":310},[312,1316,1317],{},"Unit economics per product",[1271,1319,1322],{"media-label":1320,"media-src":1321},"Screenshot: campaign profit","\u002Fartwork\u002Fapp\u002Fcampaign-profit.webp",[308,1323,1324],{"v-slot:title":310},[312,1325,1326],{},"Ads performance on profit",[1253,1328,1331,1336,1341],{"label":1329,"media-label":1330},"Decide","Artwork: response curves",[308,1332,1333],{"v-slot:title":310},[312,1334,1335],{},"Find the most profitable next move.",[308,1337,1338],{"v-slot:description":310},[312,1339,1340],{},"Our predictive models evaluate campaign response, forecast demand, and identify the actions expected to deliver the best risk-adjusted profit.",[308,1342,1343,1352,1362],{"v-slot:rows":310},[1271,1344,1347],{"media-label":1345,"media-src":1346},"Screenshot: response curve","\u002Fartwork\u002Fapp\u002Fresponse-curve.webp",[308,1348,1349],{"v-slot:title":310},[312,1350,1351],{},"Campaign response models",[1271,1353,1357],{"media-label":1354,"media-src":1355,"media-ui":1356},"Screenshot: forecast chart","\u002Fartwork\u002Fapp\u002Fdemand-forecast.webp","demand-forecast",[308,1358,1359],{"v-slot:title":310},[312,1360,1361],{},"Demand forecast",[1271,1363,1366],{"media-label":1364,"media-src":1365},"Screenshot: decision cards","\u002Fartwork\u002Fapp\u002Fdecisions-feed.webp",[308,1367,1368],{"v-slot:title":310},[312,1369,1370],{},"Ranked recommendations",[1253,1372,1375,1380,1385],{"label":725,"media-label":1373,"link-label":1374,"link-to":22},"Artwork: one-click deploy","How deploy works",[308,1376,1377],{"v-slot:title":310},[312,1378,1379],{},"Turn intelligence into action.",[308,1381,1382],{"v-slot:description":310},[312,1383,1384],{},"Deploy supported optimizations automatically or review recommended changes before approval. Monitor their impact as new performance data arrives.",[308,1386,1387],{"v-slot:rows":310},[1271,1388,1391],{"media-label":1389,"media-src":1390,"media-ui":726},"Screenshot: approval flow","\u002Fartwork\u002Fapp\u002Faction-review.webp",[308,1392,1393],{"v-slot:title":310},[312,1394,1395],{},"Approve or automate",[1397,1398,1400,1405],"landing-outcomes",{":stats":1399},"[{\"metric\":\"Advertising profit\",\"value\":\"฿1.2M+\",\"label\":\"estimated additional advertising profit across DataGlass shops\"},{\"metric\":\"Contribution profit\",\"value\":\"+25%\",\"label\":\"estimated lift in advertising contribution profit for eligible shops\"}]",[308,1401,1402],{"v-slot:title":310},[312,1403,1404],{},"Real businesses. Measurable results.",[308,1406,1407],{"v-slot:description":310},[312,1408,1409],{},"Marketplace sellers use DataGlass to see their true profit and act on it. Estimated outcomes for eligible shops.",[1411,1412,1413,1418,1423],"landing-industries",{},[308,1414,1415],{"v-slot:title":310},[312,1416,1417],{},"Built for everyone who runs a marketplace business",[308,1419,1420],{"v-slot:description":310},[312,1421,1422],{},"From the agency running dozens of shops to the analyst closing the month, each role gets the numbers it acts on.",[308,1424,1425,1440,1452,1463],{"v-slot:items":310},[1426,1427,1430,1435],"landing-industry",{"media-label":1428,"media-src":1429,"to":70},"Role artwork","\u002Fartwork\u002Fapp\u002Fshop-switcher.webp",[308,1431,1432],{"v-slot:title":310},[312,1433,1434],{},"Agencies and brands",[308,1436,1437],{"v-slot:description":310},[312,1438,1439],{},"Run every client and shop from one view, and report profit, not just ROAS.",[1426,1441,1443,1447],{"media-label":1428,"media-src":1442,"to":76},"\u002Fartwork\u002Fapp\u002Fads-group-detail.webp",[308,1444,1445],{"v-slot:title":310},[312,1446,75],{},[308,1448,1449],{"v-slot:description":310},[312,1450,1451],{},"Set budgets and Target ROAS against true margin, then keep campaigns on track.",[1426,1453,1454,1458],{"media-label":1428,"media-src":1312,"to":79},[308,1455,1456],{"v-slot:title":310},[312,1457,78],{},[308,1459,1460],{"v-slot:description":310},[312,1461,1462],{},"See where profit comes from and why it moved, without stitching reports together.",[1426,1464,1466,1470],{"media-label":1428,"media-src":1465,"to":82},"\u002Fartwork\u002Fapp\u002Forder-profit.webp",[308,1467,1468],{"v-slot:title":310},[312,1469,81],{},[308,1471,1472],{"v-slot:description":310},[312,1473,1474],{},"Know what each order really earns on Shopee, Lazada and TikTok Shop.",[1476,1477,1480],"landing-insights",{":allLink":1478,":articles":1479},"{\"label\":\"View all insights\",\"to\":\"\u002Fmy\u002Fblog\"}","[{\"title\":\"Platform ROAS vs true ROAS: why your ads make sales but no profit\",\"excerpt\":\"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.\",\"to\":\"\u002Fmy\u002Fblog\u002Fplatform-roas-vs-true-roas\",\"category\":\"Ads\",\"date\":\"May 29, 2026\",\"datetime\":\"2026-05-29\",\"media\":{\"label\":\"Article artwork\"}},{\"title\":\"Break-even ROAS is the zero line: the Target ROAS that actually maximizes Shopee profit\",\"excerpt\":\"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.\",\"to\":\"\u002Fmy\u002Fblog\u002Fprofit-maximizing-target-roas\",\"category\":\"Ads\",\"date\":\"Sep 1, 2026\",\"datetime\":\"2026-09-01\",\"media\":{\"label\":\"Article artwork\"}},{\"title\":\"How to calculate Shopee seller margin\",\"excerpt\":\"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.\",\"to\":\"\u002Fmy\u002Fblog\u002Fhow-to-calculate-shopee-seller-margin\",\"category\":\"Profit\",\"date\":\"Apr 5, 2026\",\"datetime\":\"2026-04-05\",\"media\":{\"label\":\"Article artwork\"}},{\"title\":\"How to calculate true Shopee ROAS for profit\",\"excerpt\":\"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.\",\"to\":\"\u002Fmy\u002Fblog\u002Fhow-to-calculate-true-shopee-roas\",\"category\":\"Ads\",\"date\":\"Mar 25, 2026\",\"datetime\":\"2026-03-25\",\"media\":{\"label\":\"Article artwork\"}},{\"title\":\"What is ROAS — and why a high ROAS doesn't always mean more sales or more profit\",\"excerpt\":\"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.\",\"to\":\"\u002Fmy\u002Fblog\u002Fwhat-is-roas\",\"category\":\"Ads\",\"date\":\"Jun 1, 2026\",\"datetime\":\"2026-06-01\",\"media\":{\"label\":\"Article artwork\"}},{\"title\":\"E-commerce Decision Engine: How Marketplace Sellers Turn Data Into Profit Recommendations\",\"excerpt\":\"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.\",\"to\":\"\u002Fmy\u002Fblog\u002Fhow-ecommerce-decision-engines-work\",\"category\":\"Data Science\",\"date\":\"Dec 12, 2025\",\"datetime\":\"2025-12-12\",\"media\":{\"label\":\"Article artwork\"}}]",[308,1481,1482],{"v-slot:title":310},[312,1483,1484],{},"Smarter insights for profitable e-commerce.",[1486,1487,1489,1494],"kit-faq",{":cta":1488},"{\"label\":\"View pricing\",\"to\":\"\u002Fmy\u002Fpricing\"}",[308,1490,1491],{"v-slot:title":310},[312,1492,1493],{},"Everything you need to know.",[308,1495,1496,1509,1521,1533,1545,1557,1569,1581,1593,1605],{"v-slot:items":310},[1497,1498,1499,1504],"kit-faq-item",{},[308,1500,1501],{"v-slot:question":310},[312,1502,1503],{},"What is DataGlass?",[308,1505,1506],{"v-slot:answer":310},[312,1507,1508],{},"DataGlass is an e-commerce profit optimization platform that combines financial intelligence, predictive advertising models, and AI-powered workflows to help businesses understand and improve profitability.",[1497,1510,1511,1516],{},[308,1512,1513],{"v-slot:question":310},[312,1514,1515],{},"How is DataGlass different from marketplace advertising tools?",[308,1517,1518],{"v-slot:answer":310},[312,1519,1520],{},"Most marketplace advertising dashboards focus on attributed sales and ROAS. DataGlass incorporates your actual product economics and predictive campaign response models to optimize for expected contribution profit.",[1497,1522,1523,1528],{},[308,1524,1525],{"v-slot:question":310},[312,1526,1527],{},"Which marketplaces does DataGlass support?",[308,1529,1530],{"v-slot:answer":310},[312,1531,1532],{},"DataGlass supports Shopee, Lazada and TikTok Shop. 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