投稿時間:2022-07-18 04:10:52 RSSフィード2022-07-18 04:00 分まとめ(11件)

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python	Pythonタグが付けられた新着投稿 - Qiita	某ウマゲームに影響されて競馬を始めたデータ分析初心者が競馬AI実装を試してみる話	https://qiita.com/catnap/items/ed823c3266d73a2a34ae	競馬	2022-07-18 04:00:07
golang	Goタグが付けられた新着投稿 - Qiita	GolangでCognito認証をしてトークンをjwt形式にする	https://qiita.com/yuta_vamdemic/items/782c81db7613718cb748	azure	2022-07-18 03:01:22
海外TECH	DEV Community	Cohort Analysis Explained and Why It is Crucial for Startup Success	https://dev.to/codesphere/cohort-analysis-explained-and-why-it-is-crucial-for-startup-success-4c3c	Cohort Analysis Explained and Why It is Crucial for Startup SuccessMarket uncertainty is a practical guarantee for those in the startup world One of the key errors that most founders make is exclusively considering their user base holistically The reality of the situation is that your user base is diverse and making decisions without acknowledging their diversity is a sure way to fail Cohort Analysis is a method of data analysis that classifies your data into distinct groups and then compares key metrics across these groups An Example Of Its NecessityLet s say your Canadian company just launched a major marketing campaign in the United States and saw the following results across your metrics Signups Revenue Location of User Base in the US in CanadaWow After starting to market in the US our signup rate and revenue went up and the US now has a majority share in our user base We might make the decision based on this data to focus more heavily on the United States The problem is that if we look exclusively at Signups and Revenue for Americans it might look like this Signups Revenue And for Canadians like this Signups Revenue It was only after breaking down our user base into distinct cohorts that we could see what was actually happening under the hood If we hadn t looked deeper and just acted on our instinct to move our operations in the US we likely would have severely harmed our business How to Conduct a Cohort AnalysisWhile there is a whole world of higher level algorithms to conduct in depth cohort analyses a lot of information can be revealed with just some simple spreadsheeting The first step to conducting a cohort analysis is identifying the key metrics What do you want to understand about your user base Do you want to optimize Revenue Daily usage Perhaps there is a specific feature getting used but you are not sure why The next step is to decide how you will divide your users into Cohorts If you are doing this correctly it shouldn t be an easy process There are all sorts of factors that affect user decisions so you will likely need to try out dividing your users in a number of different ways to see what makes a difference in the metric you are evaluating If you are looking to do this algorithmically you should check out Cluster Analysis Once you have defined your cohorts the next step is to see how these cohorts differ on key metrics Do users in region X likely pay more Are users who signed more than Y weeks ago more likely to use this feature This is the part where you can gain interesting insights on how your product is being used by different groups of people The Major Pitfall Causality and CorrelationThis cannot be said enough basic Cohort Analysis cannot tell you why two things are correlated it can only tell you the extent to which they are on your current user base If we divide our users into gender cohorts and find that men are more likely to spend money that does not mean men will be more likely to spend money It simply means that of our current users the men are more likely to be spending money Before you make a decision from your cohort analysis you need to understand whether this is a causal relationship in addition to being a correlated relationship This is one of the most difficult problems in analytics A helpful way to investigate causal relationships is through randomized controlled trials Such as A B tests but even then you need to be incredibly cautious of sampling bias For startups data analysis refines your questions not answer them In the above example the cohort analysis turned us from asking “Who is spending money on our product to “Why are men spending more money on our product Further cohort analysis can refine these questions until we can use reasoning to deduct an answer We might next divide our Male users into their marketing funnels The way they found your product which could give us an even more refined question of “Why are men who found us through twitter more likely to spend money on our platform ConclusionWhile it might not be a golden bullet Cohort analysis is essential to understanding your user base your product and your business Ignoring it is one of the fastest ways a product can fail Got any questions on conducting a Cohort Analysis Drop them down below Until next time happy coding from the Codesphere team We re building an all in one development platform that combines a Web IDE Devops Tooling and Cloud hosting to streamline web development for Startups	2022-07-17 18:20:48
ニュース	BBC News - Home	England v India: Rishabh Pant & Hardik Pandya seal series win	https://www.bbc.co.uk/sport/cricket/62199918?at_medium=RSS&at_campaign=KARANGA	trafford	2022-07-17 18:22:52
ニュース	BBC News - Home	Switzerland 1-4 Netherlands: Defending champions win to reach Euro 2022 quarter-final	https://www.bbc.co.uk/sport/football/62192498?at_medium=RSS&at_campaign=KARANGA	Switzerland Netherlands Defending champions win to reach Euro quarter finalThe Netherlands set up an enticing Euros quarter final with France as the defending champions beat Switzerland to finish second in Group C	2022-07-17 18:40:24
ニュース	BBC News - Home	Sweden 5-0 Portugal: Man City's Filippa Angeldal scores two in easy win for Swedes	https://www.bbc.co.uk/sport/football/62192401?at_medium=RSS&at_campaign=KARANGA	Sweden Portugal Man City x s Filippa Angeldal scores two in easy win for SwedesRuthless Sweden score three times in the first half to march into the quarter finals of Euro and end Portugal s interest in the tournament	2022-07-17 18:23:03
ビジネス	ダイヤモンド・オンライン - 新着記事	【実践・販促テクニック】お客様に喜ばれながら売上が上がる【Win-Win販促】のススメ！空港レストランの事例 - 「A4」1枚チラシで今すぐ売上をあげるすごい方法	https://diamond.jp/articles/-/306310	【実践・販促テクニック】お客様に喜ばれながら売上が上がる【WinWin販促】のススメ空港レストランの事例「A」枚チラシで今すぐ売上をあげるすごい方法小さな会社や個人商店が今すぐ売上をあげようと思った時、どの販促ツールから作ればいいのか『「A」枚チラシで今すぐ売上をあげるすごい方法「マンダラ広告作成法」で売れるコピー・広告が時間でつくれる』ダイヤモンド社刊では、販促コンサルタントの岡本達彦氏が、今すぐ売上をあげるために必要な「A」枚チラシを誰でもつくれる「マンダラ広告作成法」という新しい販促手法を公開。	2022-07-18 03:55:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【残念すぎる経営】ウォーレン・バフェットの出資が消失 - GE帝国盛衰史	https://diamond.jp/articles/-/306495	日本企業	2022-07-18 03:50:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【勉強の本質】なぜ鳥たちは風が強く吹く日に巣を作るのか？ - 勉強が面白くなる瞬間	https://diamond.jp/articles/-/306578	韓国で社会現象を巻き起こした『勉強が面白くなる瞬間』。	2022-07-18 03:45:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【Twitterフォロワー30万人超の精神科医が教える】 いまやっていることが うまくいっていないアナタへ - 精神科医Tomyが教える 心の荷物の手放し方	https://diamond.jp/articles/-/306439	【Twitterフォロワー万人超の精神科医が教える】いまやっていることがうまくいっていないアナタへ精神科医Tomyが教える心の荷物の手放し方生きていれば、不安や悩みは尽きない。	2022-07-18 03:40:00
ビジネス	ダイヤモンド・オンライン - 新着記事	記事タイトルに「とは？」はいらない!?NG事例を紹介！ - ブログで５億円稼いだ方法	https://diamond.jp/articles/-/306242	記事	2022-07-18 03:35:00