If you’re trying to track your analytics, you need to know what to measure. Here are some tips on how I’ve done it in the past:
Analytics can be used to measure your site’s performance.
So, how does this all work?
Analytics can be used to measure your site’s performance. The following points will help you understand how analytics data is collected and reported:
- Track traffic – The number of visits and unique visitors who visit your website on a monthly basis. This can also be broken down by country/region or device (mobile vs. desktop).
- Track conversions – A conversion is defined as any action that has value for your business such as filling out a contact form, purchasing an item online or signing up for an email list. You’ll want to know which pages are generating these actions so that you can optimize them further in the future!
- Track engagement – Engagement refers to how long people stay on certain webpages; it also measures how many times they return over time (monthly). It’s important because higher levels indicate greater customer satisfaction and loyalty which translates into repeat sales/customers recommending new ones through word-of-mouth promotion!
The key to measuring analytics data is to set a baseline.
The key to measuring analytics data is to set a baseline. This means creating an understanding of where your business is currently and what it took to get there. It also involves making sure that when you’re comparing apples to apples, they’re actually the same kind of apple–or at least close enough that the difference won’t skew the results too much.
Set aside time every few months (or weeks) to look back over previous periods so that if something changes in the future, you’ll be able to see what caused it and how big an impact it really had on your business.
Don’t compare your data with other businesses’ metrics or past performance numbers unless they are very similar companies in similar industries; otherwise, comparisons can confuse rather than clarify things when trying understand why something happened or didn’t happen as planned/expected!
When measuring your analytics, consider what you are trying to learn from the data.
When measuring your analytics, consider what you are trying to learn from the data. The first step in measuring analytics data is to set a baseline. This means that you should have an understanding of how users interact with your site before collecting any information about their activity.
Once you’ve established a baseline, it’s time to consider what kind of information would be most helpful for improving user experience on your website or app. This will help guide which metrics and segments you want to track over time so that you can make more informed decisions about where resources should be allocated based on actual performance versus perceived value (or lack thereof).
Make sure that whatever goals have been set are specific enough so there’s no question as to whether or not they’ve been met–and also check in regularly with stakeholders who may need updates on progress against those goals!
You need to have specific goals in mind before you start tracking your analytics data.
Before you start tracking your analytics data, it’s important to have specific goals in mind. Defining your goals before you begin will help you focus on what matters most and ensure that all of your efforts are directed towards achieving those objectives.
You can use the following questions as a guide:
- What do I want to accomplish? Is this related to revenue or customer retention? Or both? How much money am I looking to make over time (e.g., $1 million per year)? How many new customers do I need each month/quarter/year in order for my business model to work out financially (i.e., break even)? How many people do I need coming through the door every day/weekend/month so that each sale is profitable enough at full price without discounting products heavily through promotions such as sales events or flash sales offered exclusively during certain seasons like Black Friday/Cyber Monday weekend sales events where prices may drop by 50%.
When comparing metrics over time, make sure you use the same date range on each chart.
When comparing metrics over time, make sure you use the same date range on each chart.
For example, if you have two charts that show sales data for August and September, make sure that both of those charts use the same date range (e.g., “August 1-31” or “September 1-30”). If one chart shows data from August 1-31 while another shows it from August 1-30, then there’s no way for us to know whether or not those two sets of numbers are directly comparable.
Tracking your analytics is an important aspect of running a business – but it’s not just about numbers!
Analytics data is not just about numbers. It’s about understanding your users, understanding your business and understanding your website.
In order to get the most out of analytics, it’s important to understand what information can be gleaned from each type of report:
We hope this article has given you a better idea of how to measure your analytics data. Remember that the key is not just in the numbers, but also in understanding what they mean and how they relate to each other. If you’re looking for more information on how we can help with your website’s performance or how to improve your overall marketing strategy, don’t hesitate to contact us today!
