• 3. We’ll cover... 1 The data problems that startups face 2 Gateway metrics 3 4 gateways and the metrics for each
• 5. If you’re SaaS, track these
• 6. Use these for ecommerce
• 7. Consumer tech?
• 8. Sounds easy right?
• 9. There’s just one little problem...
• 10. You can’t track them.
• 11. You’re just getting started.
• 12. Advanced metrics are a luxury you don’t need.
• 13. Over time, your data decays.
• 14. Your data is messy.
• 15. It takes time to perfect your metrics.
• 16. Super basic version of lifetime value for SaaS
• 17. Advanced LTV formula
• 18. Let’s review the problems we face
• 19. Gateway Metrics
• 20. When picking metrics, always ask yourself: What’s my single biggest constraint right now and which metric will tell me if I’m making progress?
• 21. Why ignore other data?
• 22. Every business model is slightly different. Let’s cover the main gateways that startups face when getting traction.
• 23. Gateway 1: Is your idea any good?
• 24. Your main constraint: Getting anyone to care about your idea.
• 25. Your main metric: Can you get anyone to pay for your product or use it regularly?
• 26. Bad metrics for this gateway
• 27. Gateway 2: Is your product good enough?
• 28. Your main constaint: Having a product that’s good enough to build a business on.
• 29. Your main metric: Ask 500 users the Product/Market Fit Question
• 30. What’s the P/M Fit Question? How would you feel if you could no longer use [your product]?
• 31. Your goal for the P/M Fit Question
• 32. What about traffic, conversions, or engagement?
• 33. Gateway 3: Can you grow?
• 34. Your main constraint: Acquiring customers consistently from at least one channel.
• 35. Possible channels: 1 Inbound 2 Paid 3 Virality
• 36. Pick just one to start. Work on a single channel for 3 months.
• 37. Your main metrics: Your acquisition funnel and your main business metric.
• 38. Main business metrics: 1 SaaS 2 Ecommerce 3 Consumer Tech
• 39. SaaS Funnel:
• 40. Ecommerce Funnel:
• 41. Consumer Tech Funnel:
• 42. Why not cost per acquisition?
• 43. Gateway 4: Do you have a stable model?
• 44. Your main constraint: In order to keep scaling, you need a healthy model for your business.
• 45. Your main metrics: They depend entirely on which business model you’ve choosen.
• 46. The SaaS Model: 1 LTV is at least 3x acquisition cost 2 Recover acquisition cost within 12 months 3 Get monthly churn below 2%
• 47. The Ecommerce Model: 1 Annual repurchase rate below 40% = focus on customer acquisition 2 Annual repurchase rate 40%-60% = acquisition and loyalty 3 Annual repurchase rate above 60% = focus on loyalty
• 48. The Consumer Tech Model 1 Virality > 1 2 Usage 3 out of 7 days 3 30% users active day after signup 4 Organic growth of 100s signups/day 5 Clear path to 100,000+ users
• 49. Time to get serious with data.
• 50. How to get the data you need
16. Super basic version of lifetime value for SaaS:
Average
Average monthly
X
subscription length
subscription
17. Advanced LTV formula:
LTV =
(Average revenue per
account X gross margin)
monthly churn
X
(Monthly growth in average
revenue) X (1 - monthly churn)
2
(monthly churn)
*forentrepreneurs.com/saas-metrics-2-definitions
18. Let’s review the problems we face:
1
Lack of data.
2
Advanced metrics are a luxury.
3
Data decays over time.
4
Data gets messy.
5
It takes time to perfect metrics.
30. What’s the P/M Fit Question?
How would you feel if you could no
longer use [your product]?
1
Very disappointed
2
Somewhat disappointed
3
Not disappointed (it isn’t really that
useful)
31. Your goal for the P/M Fit Question:
At least 40% of your users should
say “Very disappointed”.
*Sean Ellis and Hiten Shah get credit for this one
46. The SaaS Model:
1
LTV is at least 3x acquisition cost
2
Recover acquisition cost within 12 months
3
Get monthly churn below 2%
47. The Ecommerce Model:
1
Annual repurchase rate below 40% =
focus on customer acquisition
2
Annual repurchase rate 40%-60% =
acquisition and loyalty
3
Annual repurchase rate above 60% =
focus on loyalty
*Kevin Hillstrom in Lean Analytics
48. The Consumer Tech Model
1
Virality > 1
2
Usage 3 out of 7 days
3
30% users active day after signup
4
Organic growth of 100s signups/day
5
Clear path to 100,000+ users
*Andrew Chen’s “Zero to Product/Market Fit”
50. How to get the data you need:
1
One team owns data quality.
2
Hire a data scientist if you need to.
3
Clean up your data.
4
Use customer analytics.
5
Tie all data back to individual users.