Book Summary 48 — Lean Analytics — Use Data to Build a Better Startup Faster
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Lean Analytics builds on Eric Ries’ Lean Startup book/principle, where build / measure / learn / iterate is everything. This book covers the ‘What to measure’ part, as it is crucial to measure the meaningful metrics to make informed decisions.
How to dig into data?
- Clean the data
- Normalise / Standardise data
- Analyse outliers seperately
- Exclude outliers from your mainstream model
- Consider seasonality
- Consider size/base when reporting growth
- Think through what numbers you want to surface — don’t data vomit
- Calibrate metric alerts to make sense
- If you don’t measure it, consolidate data from different places
- Look at the bigger picture — don’t focus on noise / vanity metrics
Finding the Right Metric
Classic — Pirate Metric AARRR
Acquisition, Activation, Retention, Revenue, Referral
Discipline of One Metric That Matters
At any given time there should be ONE metric, which matters above all else
- aligns/focuses the whole company
- inspires culture of experimentation
This metric will change depending on the stage and the current focus of the company.
1)E-Commerce
Conversion rate, purchases/year, avg shopping cart, abandonment, CAC, CLV, top keywords to the site, recommendation effectiveness, virality, email marketing effectiveness
2) Software as a Service (SaaS)
Attention, Enrollment, Stickiness, Conversion, Revenue/customer, CAC, Virality, Upselling, Churn, CLV
3) Free Mobile App
Revenue sources — downloadable content, customisation, advantages, saving time, elimination of countdown, upselling to paid version, in-game ads
Downloads, CAC, Launch Rate, % of active users, time to first purchase, Monthly avg users, % who rate, Virality, Churn, CLV
4) Media Site
Audience, Churn, Ad inventory, Ad rates, CTR, Content/Ad balance
5) User Generated Content
# of Engaged, Content creation, Engagement funnel change, Value of created content, Content sharing and Virality, Notification Effectiveness
6) Two-sided Marketplace
Buyer/Seller growth, Inventory growth, Search Effectiveness, Conversion funnel, Ratings and signs of fraud, Pricing metrics
1st Stage — Empathy
Finding a problem worth tackling — you see the below signs
- users want to pay you (straight away)
- have tried to solve the problem themselves
- demonstrate a passion by asking and talking a lot
- lean forward and are animated
2nd Stage — Stickiness
- Key: Engagement — rate of return, time spend on site
- Make sure people do what you want them to or pivot so you do what they want you to, before going viral/marketing
3rd Stage — Virality
- Key: viral coefficient (how many people does each user invite) and viral cycle time
4th Stage — Revenue
- Key levers: revenue / customer, more customers, more efficiencies, greater frequency
5th Stage — Scale
- Key: enter new markets, differentiation, competition, channel relationship
- Earlier all of those were just distractions
Baseline of some Key Metrics
Average is not good enough, that’s how you fail
Use the below as Lines in the Sand, not absolutes — they differ by industry and product.
Growth
5% of active users/week (early stage), 5% of revenue/week (later stage)
Engaged Visitors
- 30% MAU
- 10% DAU
Pricing
Once you find sweetspot (what users are willing to pay) aim for 10% lower to increase user growth
Customer Acquisition Cost (CAC)
Not more than 30% of the profit you make of each customer
Click-through Rates (CTR)
- varies widely
- 20–30% open rate
- 5% CTR
E-commerce conversion rate
- 2–10%
Shopping Cart Abandonment
- 65% will abandon the shopping cart
Credit Card Requirement — upfront signup
- Required: 2% signup, 50% use it
- No Required: 10% try it, 25% buy (more users to test on)
Churn
- below 5% a month before focusing on anything else (2% = great!)
App Download Size
- Below 50MB to avoid having to use Wifi to download
App Install CAC
- Paid @ $0.5
- Organic @ $2.5
App Initial Dropoff
- Free App: many won’t even open once
- After initial use, big drop off
App Free to Paid Conversion
- 2% convert to paid version
- 1.5% will make in-app purchases
App Avg. Revenue per Paying User (ARPPU)
- Aim above $0.05 as minimum
App Avg. Revenue per Paying Customer
- Whales: 10% of payers, ARPPU $20
- Dolphins: 40%, ARPPU $5
- Minnnows: 50%, ARPPU $1
Everyone else is Fodder
App Review Rates
- Expensive app: 1.6%
- Cheap app: 0.5%
On Page Ads CTR
- 0.5–2%
User Generated Content Sites — Time spent
- 17mins / day — good!
Engagement Funnel
- 90% lurk
- 9% contribute
- 1% heavily contributes