What's inside:
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
Creating a Data Strategy to Drive Better Decision-Making
Rob Olson
As a partner and head of data strategy, Rob works with founding teams to overcome “data paralysis” and operationalize their data systems. He founded and led the data team at DigitalOcean from Series A to pre-IPO and was previously Director of Analytics in the Performance Marketing group at MDC Partners.
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
What's inside:
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
