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Data Strat Rob v2021
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What's inside:
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Overview

The 3 basic components of any data strategy

Designing a data strategy

The best data tech stack for startups

What to measure for subscription-based models

What to measure for ad-hoc purchasing models

When to uplevel your startup's data strategy

Common misconceptions about data strategy

Resources we love

Data

7 MIN

Creating a Data Strategy to Drive Better Decision-Making

Data is everywhere. In the “Mad Men” days, the only data you had on your customers was whatever you learned over a three-martini lunch. Today, every interaction a customer has with any aspect of your company can generate data, from how much of your video they watched before getting bored to how many times they consider that one splurge before purchasing.

Data is meaningless—unless you have a purpose for gathering it and a plan for using it.

We believe in a tactical approach to data. Ask yourself: “What’s the simplest, smallest data point I need in order to make a decision and move on?”

The wealth of data available today, at relatively low costs, provides enormous opportunities to drive continuous improvement for your company. But you can’t just collect data for data’s sake. You need a data strategy.

This guide will show you how to take advantage of your data by explaining:

1

The 3 basic components of any data strategy

2

Designing a data strategy

3

The best data tech stack for startups

4

What you really need to measure

5

Turning positive churn into negative customer churn

6

When to uplevel your startup's data strategy

7

Common misconceptions about data strategy

8

Resources we love

9

Takeaways & next steps

Data

7 MIN

Creating a Data Strategy to Drive Better Decision-Making

Rob_DSC0190.jpg
By Rob Olson
Data Strat Rob v2021
Share
What's inside:
Done Icon

Overview

The 3 basic components of any data strategy

Designing a data strategy

The best data tech stack for startups

What to measure for subscription-based models

What to measure for ad-hoc purchasing models

When to uplevel your startup's data strategy

Common misconceptions about data strategy

Resources we love

Data is everywhere. In the “Mad Men” days, the only data you had on your customers was whatever you learned over a three-martini lunch. Today, every interaction a customer has with any aspect of your company can generate data, from how much of your video they watched before getting bored to how many times they consider that one splurge before purchasing.

Data is meaningless—unless you have a purpose for gathering it and a plan for using it.

We believe in a tactical approach to data. Ask yourself: “What’s the simplest, smallest data point I need in order to make a decision and move on?”

The wealth of data available today, at relatively low costs, provides enormous opportunities to drive continuous improvement for your company. But you can’t just collect data for data’s sake. You need a data strategy.

This guide will show you how to take advantage of your data by explaining:

1

The 3 basic components of any data strategy

2

Designing a data strategy

3

The best data tech stack for startups

4

What you really need to measure

5

Turning positive churn into negative customer churn

6

When to uplevel your startup's data strategy

7

Common misconceptions about data strategy

8

Resources we love

9

Takeaways & next steps

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