6 steps to use data to make better decisions

That is the truth that drives us to collect and analyze data. Online and offline, we gather data that tells us things like how many people clicked, where they navigated to, and what they searched for. We use this analysis to measure the effectiveness of our products, services, and designs.

In this guide, we’ll look at how you can get started with your data to create analytics for making the right decisions.

Analytics is overwhelming. It’s easy to track a bunch of different metrics and call it a day. Don’t do it! Instead, focus on learning about your users and let those questions determine what metrics to track.

Example: Focusing on conversion instead of awareness means tracking the critical parts of your funnel.

Lastly, make sure your metric has a time-bound goal. This will rally your team to prioritize your tasks ruthlessly to achieve it.

2. Set Up Your Tracking Plan & System

The best companies approach analytics with rigor and front-load the planning for implementing tracking by creating a Tracking Plan. This plan helps clarify what events to track, where those events need to go in the code base, and why those events are necessary from a business perspective.

3. Define A Naming Convention & Don’t Forget To Tag

Code that adheres to a style is easy to read. Likewise, events that follow a standard naming convention are easy to analyze.

A standard naming convention will bring:

Segment like to use the “Object-Action” framework. First, choose your business objects (e.g., Song) then define actions your users perform on those objects (e.g., Played). This leads to events like “Song Played” and “Song Paused.”

4. Choose A Growth Stack

Customer data all by its lonesome is not useful. You need to set it up to help you make decisions. That means piping your data to a variety of tools to help you understand, acquire, and engage your users.

First, compile a comprehensive checklist of tool categories. This includes funnel analytics, live chat, email list builders, sales and support tools, paid acquisition, and attribution.

Then, integrate tools at the right moment. Don’t sign up for something without a clear and specific goal in mind. The tool should help you to answer your questions.

5. Interpret Your Results — Reporting

Don’t try to analyze it all — you’ll get lost in data and become discouraged. Instead, narrow your focus to the metrics you have defined in the first step. The following steps can help you effectively interpret your data:

6. Adjust Your Strategy — Optimization Method

Make the data and results shareable and accessible! This cuts down on duplicate information gathering and can also lead to improved experiences, greater convenience, and offering customers lower prices.

In addition to knowing your audience, you should be able to adapt your strategy to their shifting needs and desires. If a product or acquisition/ retention channel looks like it’s going to waste time, workforce and money for little return, you should cancel it or change the strategy. React to the customers and your data.

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