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ยท 5 min read
Carl Liu

For the past year, I have met a lot of entrepreneurs and engineers. I found a common pattern: these knowledgable people not only read more than me but are very smart in choosing the right information to read and digest.

In terms of intelligence, everyone is similar. What matters more is whether a person wants to learn/read and from which source the person learns (the information input). Just like what people always say in the gym -- 'You Are What You Eat', this applies to information and learning.

Information Hygiene ๐Ÿ‘ฉ๐Ÿปโ€โš•๏ธโ€‹

The first thing to practice is to identify the quality of information. For the modern era, a lot of online media sites and content creators tend to tune their content to maximize the impression rate or view count (if you want to learn how to write news to catch eyeballs ๐Ÿ‘ here is a link) a better term to describe the quality of information is Information Hygiene

The following chart is my understanding of information distribution:

ยท 6 min read
Carl Liu

Carl: Max had an introduction tutorial session for the full stack engineers, It was really educative. Writing down this note for sharing.

Basic conceptsโ€‹

Mobile Linking and Mesaurement Platformโ€‹

To place ads on various platforms, we need a complete system to link and measure the performance of omni-channel media advertisement campaign. Commonly used linking and mesaurement platforms are Branch.io (paid) and Kochava (free). The general idea is to configure the callback URL of each advertisement delivery platform on the mobile linking platform, and at the same time embed the SDK of the mobile linking platform in the App. The platforms collect data and calculate the attribution.

ยท 2 min read
Carl Liu

This is an introduction blog to some knowledge (basic) and vocabs I have learnt at Presence.

App's Skill Radarโ€‹

  • For any Mobile/Web/Internet startup, you need to know your advantages and disadvantages just so you don't get lured down a blind alley.
  • This is appliable not only to Mobile Apps, but also to any modern startups (i.e. Website for delivery call, aka. Doordash/Palo Altos Delivery)

CPIโ€‹

  • Cost Per Install:
    • Web: 0$
  • Top tier compnay examples
    • Any web era startups: Google, Yahoo, Portal sites

Muliplierโ€‹

  • How fast does the product spread, is it exponential or linear?
  • Top tier compnay examples
    • Uber, UberEats

Screen Timeโ€‹

  • How long does your user spend on your app
  • Top tier company examples
    • Tiktok -> 100 Mins
    • FB -> 45 Mins
    • Bytedance Toutiao -> 75 Mins

Retentionโ€‹

  • How long does a customer keep your app:
  • 2nd/7th/30th day Retention:
    • 4-2-1 -> OK (40% users kept your app on the second day, 20% users kept after a week, 10% after a month)
    • 6-4-3 -> TikTok, Facebook, Google
    • 5-3-2 -> Very good, you can go IPO
  • for Web, DAU/MAU is commonly discussed. It is the same thing as Retention
    • The formula is: DAU / MAU = 2nd day retention / 30th day retention
    • 20% -> Ok
    • 60% -> Tiktok level
    • 66% -> Facebook level
  • Top tier compnay examples
    • Tiktok, Facebook, Snapchat
    • To-B apps: Salesforce, Slack, Tableau, needed for work, mandatory retention

ARPUโ€‹

  • How easy is it to generate cash from your customers
  • Top tier company examples
    • Airbnb: extremely high ARPU, extremely low Screen Time
    • Amazon: Okay Screen Time, but high ARPU

Brandingโ€‹

  • Top tier compnay examples:
    • Apple
    • Amazon: return policy, Amazon Prime

Experiment vs. Errorโ€‹