the Data Driven Daily

A single idea in your inbox everyday, to help you make better decisions using data.

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Customer Acquisition Cost

Customers are not free. How much do you pay per customer? This week we look at customer acquisition cost (CAC). Breaking down CAC can help you figure out how much money your business gets from each customer.

Market Sizing

Market size is a helpful and important number. We can use this number to see what the future of your business looks like. The larger the total addressable market (TAM), the more potential your business has.

Data Silos

The tools we use to collect data are constantly evolving. This leads us to having lots of data in different databases. This week we talk about how to break down these data silos and aggregate all of your data in one place.

Pricing Strategy – Part 2

Setting the right price is challenging. In part two of this two-part series we discuss more methods that will help you set prices that will help you drive revenue.

Pricing Strategy – Part 1

How can we set prices? In part one of this two-part series we discuss methods that can help you find the right price.

Competitive Intelligence

We all want to know what our competitors are up to. Here’s how to, legally, gather and interpret data on your competition.

Unit Economics

Unit Economics looks at per-unit metrics. They can be hard to calculate, but can provide helpful insights on the profitability of your business.

Metric Translation

Data can be very helpful only if you know what it is trying to tell you. Learn how to understand and translate your data so you can figure out what is going on.


Now that we have gathered our data, let’s start talking about how to use it. Trendlines are a great way of using your data to gain insight into your business.

Data Audits

It’s easy to gather data. The challenging part is trusting it. Here we talk about how to audit your data so you know that your data is trustworthy.

Sales Metrics

Most companies make money through sales, but few use data to optimize their Sales process. Here is how to use data to make your sales process better.

Consumer Lifetime Value

Lifetime Value (LTV) is an important metric for businesses to track. It can help you figure out whether or not you can afford to get more customers. We talk about what LTV means, how to find it, and what it means to your business.

Choosing KPIs

Key Performance Indicators are the most important metrics you track. Choosing them well is critical to ensuring your business achieves its goals.

Task Prioritization

Your productivity is a direct result of how effectively you prioritize all the tasks you need to complete. Data can be an essential tool in doing this well.

Selecting Analytics Tools

The choice of your analytics tools is a critical step in building your ability to use data to make decisions. Here is what to look for, what to avoid and how to make your choices a success.

Data Insights

Knowing what to look for is often the difference between success and failure when it comes to data exploration. Here are some common types of insights and how to find them.

Data Exploration

Exploring your data can be time consuming and ultimately unsuccessful. Here are some best practices to ensure your data explorations produce real results.

Data Storytelling

Some of the worst business decisions in history were data driven! How you communicate what the data tells you is important too.

Recommendation Systems

If you have purchased anything online in the past 15 years, you have been exposed to a recommendation system.

Growth Rate

How fast is your business growing? It can be harder to answer than it might seem.


A sad fact of business is that you cannot retain a customer forever.

Ad Campaign Optimization

Get the most of your advertising spend by optimizing your campaign performance.


Clustering helps find hidden patterns in your data by grouping similar things for you, such as customer personas.

Customer Personas

Customer personas help you understand your customers by identifying common traits and behaviors.

Scenario Planning

Scenario Planning is a useful tool when you need to make decisions in an uncertain and changing environment where the future is hard to predict.

Impact Analysis

Impact Analysis is a way to estimate the impact your decisions will have on the business and hence evaluate your options.

Data Driven Planning

Data Driven Planning is a method of using data to build better long term business plans.

Dirty Data

Not all data is clean and easy to use, often your data is dirty and you need to figure out how to clean it.


Many aspects of your business will change with the seasons, and the better you can understand those changes the better you will be able to predict the future.


Measuring and evaluating your productivity can greatly improve your overall business performance.


Many aspects of your business will change with the seasons, and the better you can understand those changes the better you will be able to predict the future.

Survey Design

If you want to know what your customers are thinking, you need to ask them!

A/B Testing

Even when you have a wealth of data it can be challenging to make a difficult decision when you have a number of different options to choose between.

Setting Goals

Being data driven is much more than just understanding how you’ve performed in the past, it is about improving in the future!

Money Metrics

Are there more financial metrics you should be using to make decisions? The answer is absolutely!

Advanced KPIs

More complex metrics that are specific to your business can be dangerous because they are specialized and complex. Lets discuss their pros and cons

Margin Metrics

You are in business to make money! So am I, actually, so we have something in common. But what does it mean to “make money”?

Data Analytics Tools

There are a number of data analytics tools available to compute simple statistics and visualize your data.

Data Visualization

Data visualization is complementary to data analysis – it allows you to condense large data sets into a single picture (or set of pictures).

Simple Statistics

A few of the most common descriptive statistics used to understand data and predictive modeling using a linear regression

Predicting the Future

Predicting the future is hard. I am fairly certain of this because I’ve never won the Powerball and neither have you.

Customer Segmentation

Segmentation, in its simplest form, breaks through the illusion that all of your customers are equal.

Happy Customers

What makes a happy customer? What is the deciding factor between happy customers and lost customers?