analytics for startups

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Analytics for Startups Lars Lofgren, Growth Manager at KISSmetrics

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Page 1: Analytics for Startups

Analytics for Startups

Lars Lofgren, Growth Manager at KISSmetrics

Page 2: Analytics for Startups

Hit me up

@larslofgren #KISSwebinar

Page 3: Analytics for Startups

1 The data problems that startups face

We’ll cover…

2 Gateway metrics

3 4 gateways and the metrics for each

#KISSwebinar

Page 5: Analytics for Startups

I’m not going to spend any time on Google Analytics.

Page 6: Analytics for Startups

How healthy is this business?

Page 7: Analytics for Startups

1 MRR, Churn, LTV, acquisition cost

It’d be great to track metrics like these:

2 Virality, DAU, MAU

3 Average order value, repurchase rate

#KISSwebinar

4 Funnels and conversions

Page 8: Analytics for Startups

But you don’t have any data yet

Page 9: Analytics for Startups

Your data is in a constant rate of decay

Page 10: Analytics for Startups

Your data is messy

Page 11: Analytics for Startups

Use metrics that measure your biggest problem.

Ignore the rest.

Page 12: Analytics for Startups

Gateway Metrics

Page 13: Analytics for Startups

When picking metrics, always ask yourself:

What’s my biggest constraint right now and which metric will tell me if

I’m making progress?

Page 14: Analytics for Startups

You need to do the right things in the right order.

Page 15: Analytics for Startups

Gateway #1: Is your idea any good?

Page 16: Analytics for Startups

Your main constraint:

Ge!ing anyone to care about your idea.

Page 17: Analytics for Startups

Your main metric:

Get someone to pay or use your product regularly.

Page 18: Analytics for Startups

Bad metrics for this gateway:

1 Asking people if they’ll pay

2 AdWords clicks

3 Beta or waiting list signups

4 Traffic

Page 19: Analytics for Startups

Gateway #2: Is your product good enough?

Page 20: Analytics for Startups

Your main constraint:

Having a product that’s good enough to build a business on.

Page 21: Analytics for Startups

Your main metric:

Ask 500 users the Product/Market Fit Question

Page 22: Analytics for Startups

What is the P/M Fit Question?

1 Very disappointed

2 Somewhat disappointed

3 Not disappointed (it isn’t really that useful)

How would you feel if you could no longer use [your product]?

Page 23: Analytics for Startups

Your goal for the P/M Fit Question:

At least 40% of users should say “Very disappointed.”

*Sean Ellis and Hiten Shah get credit for this one.

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How do you get to the first 500 users/customers?

Hustle.

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The P/M Fit Question isn’t perfect, verify with a

retention metric.

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Gateway #3: Can you grow?

Page 27: Analytics for Startups

Your main constraint:

Acquiring customers consistently from at least one channel.

Page 28: Analytics for Startups

You have plenty of options to choose from:

1 Inbound (Google, Content, Social)

2 Paid (PPC, Affiliates)

3 Virality (Invites, Referrals)

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Pick just one to start

Work on your channel for at least 3 months. Assume it’ll work and get the resources needed to execute.

Page 30: Analytics for Startups

Your main metrics:

Your main business metric and acquisition funnel.

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Main business metrics:

1 SaaS: Monthly Recurring Revenue

2 Ecommerce: Monthly Revenue

3 Consumer Tech: Monthly Active Users

Page 32: Analytics for Startups

SaaS Funnel

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Ecommerce Funnel

Page 34: Analytics for Startups

Consumer Tech Funnel

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Why not cost per acquisition or lifetime value?

You have no idea how much it costs to acquire customers or how much

they’ll spend (yet).

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Gateway #4: Do you have a stable model?

Page 38: Analytics for Startups

Your main constraint:

In order to keep scaling, you need a stable model for your business.

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Your main metrics:

Depends entirely on what business model you have.

Page 40: Analytics for Startups

The SaaS Model

1 LTV is at least 3x acquisition cost

2 Recover acquisition cost within 12 months

3 Get monthly churn below 2%

Page 41: Analytics for Startups

The Ecommerce Model

1

2

3

It’s all about profit margin.

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The Consumer Tech Model

1 Virality > 1

2 Usage 3 out of 7 days

3 30% of users active day a#er signup

4 Organic growth of 100s signups/day.

5 Clear path to 100,000+ users

*Andrew Chen’s “Zero to Product/Market Fit”

Page 43: Analytics for Startups

Find someone in your industry that knows the

key benchmarks.

Page 44: Analytics for Startups

Finally, get serious with data.

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If you have a sales team, pile data into your CRM.

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If consumer tech, do everything in-house.

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Google Analytics plus an internal database will take

you far.

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Start with constraints, hack together what you need to measure them.

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How to get data you really need:

1 One team owns data quality.

2 Hire a data engineer.

3 Clean up and integrate your data.

4 Use customer analytics.

5 Build a Growth Team.

Page 50: Analytics for Startups

Q&A Time!Lars Lofgren @larslofgren

[email protected]