For Google Analytics to be truly effective for your business, you need to define what solution you are looking for. Therefore, use the tool as a means of this process.
This means that it will not be the first step of your strategy (you need to define goals first) nor the last (after checking and analyzing the data, you need to decide).
So, before you go out and open Analytics and test all the reports it has: create questions . That's right! For example, how many people visited the site through Google Ads? Then, access the tool to check the answer to your question.
Your decision needs to be canada mobile database based on this, creating effective actions with the answers presented and enhancing your strategy . For example, if you have data on the best-selling product, your decision may be to increase stock or invest in more advertising.
There is no point in looking at all the metrics without a defined objective. Be responsible for the metrics you monitor, and focus on achieving the goals in line with the company's objective.
Here’s another example: the goal is for the company to grow 10% per year. For that to happen, it needs to grow almost 1% per month. What do you need to do? Generate more leads.
So, your first goal is to generate leads. Then, qualify these leads and create a sales opportunity. That's it, you have a defined goal and you're going to work hard to achieve it.
Focus on strategic data and don't waste time with so many numbers that, in the end, will have no relevance.
Conclusion
We hope this guide has helped you better understand the features of Google Analytics . It is a great driver for increasing your performance and can change the course of your business if used correctly.
If you haven't yet incorporated Data Marketing into your business, it's time to rethink your investments. After all, you could be losing customers and
spending more than you should without getting a good return. Remember the useful data!
Continue browsing the blog and learn more about Digital Marketing and Data-Driven Marketing. Also read: How to add the Analytics Experiment Code (A/B Test) in Google Tag Manager .