Growth Engineering at Netflix — Accelerating Innovation
by Eric Eiswerth Millions of people visit Netflix every day. Many of them are already Netflix members, looking to enjoy their favorite movies and TV shows, and we work hard to ensure they have a great experience. Others are not yet members, and are looking to better understand our service before signing up. These prospective members arrive from over 190 countries around the world, and each person
Visually explore funnels of user activities
Funnel analysis is a concept that has been around for a while and there are many systems that support counting funnels, or sequences of events. In this post, we describe our experimental visual analytics approach that not only counts the specified sequence, but also aggregates and visualizes information between steps within the sequences to provide broader perspectives. This novel approach helps u
Pinterestのグロースチームが活用する4つの分析フォーマット - symsonic
Pinterestのオフィシャル開発ブログの「いかにPiterestが持続的なグロースを実現しているか（How Pinterest drives sustainable growth）」という素敵なエントリーでグロースチームが継続的に追っている４つのログフォーマットが紹介されていました。 user state transitions Xd28s cohort heat maps conversion funnels 最後の２つは割とポピュラーだと思うのですが、前半２つの「user state transitions / Xd28s」ってなんぞやって感じだと思うので、４つまとめてご紹介したいと思います。 1.user state transitions 曰く、これがPinterestのグロースチームの中で最も重要なチャートとのこと。まず前提条件ですが、Pinterestでは「28日」使わなか
The App Analytics Tools Round-Up - Learn How People Use Your App
Learn How People Use Your App – An App Analytics Tools Round-Up Mobile App Growth November 30, 2018 Knowing how many people download your app, how much money you’re making, or what users think of your app is important. But it’s definitely not the only thing you should be tracking. That’s where app analytics tools are vital. It’s not all about the number of downloads. You also need to learn how, wh
無料でここまでできる！アプリの分析ツール３選 | SIROKグロースハックブログ
みなさんはアプリの分析をどのように行なっていますか？ GoogleAnalyticsを入れてる方は多いと思うのですが、もっと詳しく分析したい、でもそこまでお金をかけられない、という人向けのオススメのツールを紹介します。 ▶Flurry Analytics 30万以上のアプリが導入している、スマホ市場調査会社が提供しているアクセス解析ツール。制限なく無料で使うことができます。 クライアントは、ワーナー・マイカル、スタバ、アングリーバード、SEGA、GROUPONなど。 ・特長 ①ユーザー獲得分析 どのメディアからどれだけユーザーが流入してるか分かります。 ②ファンネル分析 ファンネル分析は、スタートからゴールまでの各プロセスの離脱率が分かるというものです。どのユーザーが、どの画面まで利用し、課金につながっているか、ゲームならどのレベルまで到達したかを見ることができます。 ③複数アプリ間の分析
Vanity Metrics vs. Actionable Metrics - Guest Post by Eric Ries - The Blog of Author Tim Ferriss
Vanity metrics: good for feeling awesome, bad for action. (photo source: UK Guardian) This is a guest post by serial entrepreneur Eric Ries. He was most recently co-founder and CTO of IMVU, which has more than 20 million registered users and generates $1,000,000+ in revenue per month. Eric is also a venture advisor to Kleiner Perkins. How do you get to $1,000,000 per month in sales? By testing the
Funnel analysis
1. An overview of funnel analysis Funnel analysis is one of the two most common types of platform analytics performed with web analytics data. The concept behind funnel analysis is straightforward. Your platform is designed to support users working through one or more different workflows: where each workflow is a series of steps necessary to deliver a specific outcome. Examples of workflows includ
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Funnel analytics with SQL: MATCH_RECOGNIZE() on Snowflake
GitHub - yahoo/hive-funnel-udf: Hive UDFs for funnel analysis
Faster, Faster, Faster: The True Story of a Mobile Analytics Data Mart on Hive
Mining Large-Scale Temporal Dynamics with Hadoop
Using Visualizations to Monitor Changes and Harvest Insights from a Global-Scale Logging Infrastructure at Twitter
New user and sequence based segments in the Core Reporting API
Add funnel type query · Issue #191 · influxdata/influxdb
EventHub: Open-sourced Funnel analysis, Cohort analysis and A/B testing tool
Introducing Multi-Channel Funnels: discover untapped opportunities in your conversion path
How to Prove the Value of Content Marketing with Multi-Channel Funnels
Path Analysis: A Good Use of Time? - Occam's Razor by Avinash Kaushik
Startup Lab workshop: Cohort analysis
Performing the cohort analysis described in Eric Ries’s Lean Startup using SnowPlow and Hive « The Keplar LLP blog