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examples","\u002Fdocs\u002Fai-and-api\u002Fassistants\u002Fworked-examples","docs\u002F04.ai-and-api\u002F01.assistants\u002F07.worked-examples","i-material-symbols-menu-book-rounded",{"title":519,"draft":11,"path":520,"stem":521,"children":522,"page":11},"API","\u002Fdocs\u002Fai-and-api\u002Fapi","docs\u002F04.ai-and-api\u002F02.api",[523,528,533,538,543,548],{"title":524,"path":525,"stem":526,"draft":11,"icon":527},"Getting started","\u002Fdocs\u002Fai-and-api\u002Fapi\u002Fgetting-started","docs\u002F04.ai-and-api\u002F02.api\u002F01.getting-started","i-material-symbols-key-rounded",{"title":529,"path":530,"stem":531,"draft":11,"icon":532},"API security & limits","\u002Fdocs\u002Fai-and-api\u002Fapi\u002Fsecurity","docs\u002F04.ai-and-api\u002F02.api\u002F02.security","i-material-symbols-verified-user-rounded",{"title":534,"path":535,"stem":536,"draft":11,"icon":537},"Endpoints: products & 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recommendations","\u002Fdocs\u002Fai-and-api\u002Fapi\u002Frecommendations","docs\u002F04.ai-and-api\u002F02.api\u002F06.recommendations","i-material-symbols-recommend-rounded",{"title":554,"draft":11,"path":555,"stem":556,"children":557},"Administration","\u002Fdocs\u002Fadministration","docs\u002F05.administration\u002Findex",[558,559,579],{"title":10,"path":555,"stem":556,"draft":11},{"title":560,"draft":11,"path":561,"stem":562,"children":563,"page":11},"Team and access","\u002Fdocs\u002Fadministration\u002Fteam-and-access","docs\u002F05.administration\u002F01.team-and-access",[564,569,574],{"title":565,"path":566,"stem":567,"draft":11,"icon":568},"Team & roles","\u002Fdocs\u002Fadministration\u002Fteam-and-access\u002Fteam-and-roles","docs\u002F05.administration\u002F01.team-and-access\u002F01.team-and-roles","i-material-symbols-group-rounded",{"title":570,"path":571,"stem":572,"draft":11,"icon":573},"Adding teammates","\u002Fdocs\u002Fadministration\u002Fteam-and-access\u002Fadding-teammates","docs\u002F05.administration\u002F01.team-and-access\u002F02.adding-teammates","i-material-symbols-person-add-rounded",{"title":575,"path":576,"stem":577,"draft":11,"icon":578},"Managing access","\u002Fdocs\u002Fadministration\u002Fteam-and-access\u002Fmanaging-access","docs\u002F05.administration\u002F01.team-and-access\u002F03.managing-access","i-material-symbols-admin-panel-settings-rounded",{"title":580,"draft":11,"path":581,"stem":582,"children":583,"page":11},"Account","\u002Fdocs\u002Fadministration\u002Faccount","docs\u002F05.administration\u002F02.account",[584,588],{"title":585,"path":586,"stem":587,"draft":11,"icon":385},"Open 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sections","yml",{"ariaLabel":611,"columns":612,"legal":649,"quote":650,"askAi":653},"Footer",[613,625,631,639],{"label":67,"children":614},[615,616,619,622],{"label":5,"to":6},{"label":617,"to":618},"Use cases","\u002Fuse-cases",{"label":620,"to":621},"Training","\u002Ftraining",{"label":623,"to":624},"Resources","\u002Fresources",{"label":626,"children":627},"Build",[628,629,630],{"label":477,"to":478},{"label":519,"to":525},{"label":585,"to":586},{"label":632,"children":633},"Updates",[634,635],{"label":77,"to":80},{"label":636,"to":637,"target":638},"Blog","https:\u002F\u002Fwww.dataglasslabs.com\u002Fblog","_blank",{"label":640,"children":641},"DataGlass",[642,645,648],{"label":643,"to":644,"target":638},"Open DataGlass","https:\u002F\u002Fapp.dataglasslabs.com",{"label":646,"to":647,"target":638},"Website","https:\u002F\u002Fwww.dataglasslabs.com",{"label":72,"to":73},"DataGlass Labs. All rights reserved.",{"text":651,"caption":652},"Measure what you keep, and then grow what you measure.","The DataGlass team",{"label":654,"prompt":655,"assistants":656},"Ask AI about DataGlass","I want to learn how to use 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 the DataGlass docs at https:\u002F\u002Flearn.dataglasslabs.com\u002Fdocs (with an agent-readable summary at https:\u002F\u002Flearn.dataglasslabs.com\u002Fllms.txt), then explain what DataGlass does, how to get started and which guides to read first.",[657,661,665],{"label":658,"icon":659,"url":660},"ChatGPT","chatgpt","https:\u002F\u002Fchatgpt.com\u002F?prompt={prompt}",{"label":662,"icon":663,"url":664},"Claude","claude","https:\u002F\u002Fclaude.ai\u002Fnew?q={prompt}",{"label":666,"icon":667,"url":668},"Perplexity","perplexity","https:\u002F\u002Fwww.perplexity.ai\u002Fsearch?q={prompt}",{"sections":670,"navLabel":683,"openApp":643,"search":684},[671,674,675,677,679,681],{"key":672,"label":673},"home","Home",{"key":7,"label":5},{"key":676,"label":617},"use-cases",{"key":678,"label":620},"training",{"key":680,"label":77},"releases",{"key":682,"label":623},"resources","Sections","Start searching",{"label":686},"Region and language",{},"en\u002Fchrome","mobUs3s2Zj3jKhQlnWk_tray3mh7L0ptp0ZGYXlK4NA",{"id":691,"title":427,"body":692,"description":981,"draft":11,"draftReason":982,"extension":983,"layout":982,"meta":984,"navigation":985,"path":428,"platforms":986,"rawbody":988,"seo":989,"stem":429,"__hash__":990},"docs_en\u002Fdocs\u002F03.growth\u002F04.optimization-groups\u002F07.allocation-preference.md",{"type":693,"value":694,"toc":972},"minimark",[695,703,714,719,771,775,778,838,845,868,872,875,921,927,938,942,949,969],[696,697,698,702],"p",{},[699,700,701],"strong",{},"By default a group splits the budget from its learned forecast model alone."," Distribution can lean that split toward campaigns doing well right now — useful when the model is still young, or when the market moved faster than the model did.",[696,704,705,706,709,710,713],{},"It lives in the ",[699,707,708],{},"Strategy"," box on ",[711,712,403],"a",{"href":404},".",[715,716,718],"h2",{"id":717},"how-to-use-it","How to use it",[720,721,722,738,759,768],"ol",{},[723,724,725,726,729,730,734,735,713],"li",{},"Pick ",[699,727,728],{},"Model only"," ",[731,732,733],"em",{},"(default)"," or ",[699,736,737],{},"Follow recent results",[723,739,740,741,729,744,729,748,729,751,754,755,758],{},"If following, finish the sentence: ",[731,742,743],{},"Shift budget toward campaigns with the best",[745,746,747],"span",{},"signal",[731,749,750],{},"in the",[745,752,753],{},"window",". The signal starts on your objective's own metric — Profit, GMV, or Direct orders — marked ",[699,756,757],{},"Suggested"," in the menu.",[723,760,725,761,764,765,767],{},[699,762,763],{},"how far to lean toward recent results",": Small, Medium ",[731,766,733],{}," or Large.",[723,769,770],{},"Save.",[715,772,774],{"id":773},"signals","Signals",[696,776,777],{},"The menu groups signals by how fast their result is known.",[779,780,781,796],"table",{},[782,783,784],"thead",{},[785,786,787,791,793],"tr",{},[788,789,790],"th",{},"Group",[788,792,774],{},[788,794,795],{},"Windows",[797,798,799,813,826],"tbody",{},[785,800,801,807,810],{},[802,803,804],"td",{},[699,805,806],{},"Activity",[802,808,809],{},"Impressions, Clicks, Unpaid orders",[802,811,812],{},"Last 3 hours, Last 24 hours, Last 7 days",[785,814,815,820,823],{},[802,816,817],{},[699,818,819],{},"Sales",[802,821,822],{},"GMV, Units sold, Direct orders, Direct GMV",[802,824,825],{},"Last 24 hours or Last 7 days",[785,827,828,833,836],{},[802,829,830],{},[699,831,832],{},"Profit & ROAS",[802,834,835],{},"Platform ROAS, Profit, PA-ROAS",[802,837,825],{},[696,839,840,841,844],{},"Sales and profit results take time to come in, so those signals read 24 hours or 7 days only. ",[699,842,843],{},"Last 24 hours"," is the default window.",[846,847,848,854,860],"ul",{},[723,849,850,853],{},[699,851,852],{},"Direct"," orders and GMV count the advertised product itself, not halo sales.",[723,855,856,859],{},[699,857,858],{},"Unpaid orders"," is a leading signal: it can change when buyers pay.",[723,861,862,865,866,713],{},[699,863,864],{},"PA-ROAS"," is ",[711,867,62],{"href":63},[715,869,871],{"id":870},"how-far-to-lean","How far to lean",[696,873,874],{},"Each step caps how much of the model's expected gain you give up to follow recent results. The gain is what the model's own split was expected to add over today's.",[779,876,877,887],{},[782,878,879],{},[785,880,881,884],{},[788,882,883],{},"Lean",[788,885,886],{},"Gives up at most",[797,888,889,899,911],{},[785,890,891,896],{},[802,892,893],{},[699,894,895],{},"Small",[802,897,898],{},"10% of the expected gain",[785,900,901,908],{},[802,902,903,729,906],{},[699,904,905],{},"Medium",[731,907,733],{},[802,909,910],{},"30%",[785,912,913,918],{},[802,914,915],{},[699,916,917],{},"Large",[802,919,920],{},"60%",[696,922,923,924,926],{},"If the model expects its split to add ฿1,000 of profit, ",[699,925,917],{}," still has to add at least ฿400. Leaning changes which campaign gets the money, not how much the group spends.",[928,929,931],"callout",{"icon":930},"i-lucide-info",[696,932,933,934,937],{},"Activation is blocked while a group holds a preview-only window, or a basis and window that cannot run together. The row says so — ",[731,935,936],{},"\"Needs a live distribution basis\""," — rather than hiding the control.",[715,939,941],{"id":940},"reading-the-effect","Reading the effect",[696,943,944,945,948],{},"In the ",[699,946,947],{},"Allocation"," panel, hover a campaign. The tooltip separates:",[846,950,951,957,963],{},[723,952,953,956],{},[699,954,955],{},"Model-only"," — what the objective and constraint alone would have given it.",[723,958,959,962],{},[699,960,961],{},"Preference wants"," — what the recent-results signal alone would have given it.",[723,964,965,968],{},[699,966,967],{},"Proposed"," — the number the solve actually landed on, between the two.",[696,970,971],{},"If those first two are far apart, your lean is doing real work. If they are nearly identical, the signal agrees with the model and you can leave it on Model only.",{"title":973,"searchDepth":974,"depth":974,"links":975},"",3,[976,978,979,980],{"id":717,"depth":977,"text":718},2,{"id":773,"depth":977,"text":774},{"id":870,"depth":977,"text":871},{"id":940,"depth":977,"text":941},"Lean the daily split toward campaigns doing well right now — on clicks, sales, ROAS or profit — instead of the forecast model alone.",null,"md",{},{"icon":430},[987],"shopee","---\ntitle: Distribution\ndescription: Lean the daily split toward campaigns doing well right now — on clicks, sales, ROAS or profit — instead of the forecast model alone.\nplatforms:\n  - shopee\nnavigation:\n  icon: i-lucide-sliders-horizontal\n---\n\n**By default a group splits the budget from its learned forecast model alone.** Distribution can lean that split toward campaigns doing well right now — useful when the model is still young, or when the market moved faster than the model did.\n\nIt lives in the **Strategy** box on [Global settings](\u002Fdocs\u002Fgrowth\u002Foptimization-groups\u002Fglobal-settings).\n\n## How to use it\n\n1. Pick **Model only** *(default)* or **Follow recent results**.\n2. If following, finish the sentence: *Shift budget toward campaigns with the best* [signal] *in the* [window]. The signal starts on your objective's own metric — Profit, GMV, or Direct orders — marked **Suggested** in the menu.\n3. Pick **how far to lean toward recent results**: Small, Medium *(default)* or Large.\n4. Save.\n\n## Signals\n\nThe menu groups signals by how fast their result is known.\n\n| Group | Signals | Windows |\n| --- | --- | --- |\n| **Activity** | Impressions, Clicks, Unpaid orders | Last 3 hours, Last 24 hours, Last 7 days |\n| **Sales** | GMV, Units sold, Direct orders, Direct GMV | Last 24 hours or Last 7 days |\n| **Profit & ROAS** | Platform ROAS, Profit, PA-ROAS | Last 24 hours or Last 7 days |\n\nSales and profit results take time to come in, so those signals read 24 hours or 7 days only. **Last 24 hours** is the default window.\n\n- **Direct** orders and GMV count the advertised product itself, not halo sales.\n- **Unpaid orders** is a leading signal: it can change when buyers pay.\n- **PA-ROAS** is [True ROAS](\u002Fdocs\u002Foverview\u002Ffoundations\u002Ftrue-roas).\n\n## How far to lean\n\nEach step caps how much of the model's expected gain you give up to follow recent results. The gain is what the model's own split was expected to add over today's.\n\n| Lean | Gives up at most |\n| --- | --- |\n| **Small** | 10% of the expected gain |\n| **Medium** *(default)* | 30% |\n| **Large** | 60% |\n\nIf the model expects its split to add ฿1,000 of profit, **Large** still has to add at least ฿400. Leaning changes which campaign gets the money, not how much the group spends.\n\n::callout{icon=\"i-lucide-info\"}\nActivation is blocked while a group holds a preview-only window, or a basis and window that cannot run together. The row says so — *\"Needs a live distribution basis\"* — rather than hiding the control.\n::\n\n## Reading the effect\n\nIn the **Allocation** panel, hover a campaign. The tooltip separates:\n\n- **Model-only** — what the objective and constraint alone would have given it.\n- **Preference wants** — what the recent-results signal alone would have given it.\n- **Proposed** — the number the solve actually landed on, between the two.\n\nIf those first two are far apart, your lean is doing real work. If they are nearly identical, the signal agrees with the model and you can leave it on Model only.\n",{"title":427,"description":981},"iUIF3Iu7b60UP7lf_vNDeONsljJfqgatuHEEMWEV8gY",{"data":992,"body":993},{},{"type":994,"children":995},"root",[996],{"type":997,"tag":696,"props":998,"children":999},"element",{},[1000],{"type":1001,"value":981},"text",1792785253845]