Take a close look at the data that your product generates! Aside from talking to your users and hearing their feedback, a mandatory way of knowing your product and how your users interact with it is through data. To take advantage of these data you must become a “data geek”, a person who knows in depth the data generated by the application and their meaning.
Every US dollar bill has the phrase “In God We Trust” written in. The importance of using the data as a source of information to understand things is so great that it was created the “In Data We Trust” phrase., that is, “In the Data We Trust.”
William Edwards Deming is an American engineer, statistician, and professor known for his work in Japan right after the World War II when he taught about quality statistical management and helped the Japanese to become the second larger economy of the world in only 10 years. The phrase below is credited to him:
“In God we trust. All others must bring data.” (W. E. Deming)
Every data is important, but depending on your goal, some are more important than others. Knowing your data is a continuous task because at each new information you acquire, new questions come up that are going to need more data to be answered.
One of the first information that you will want to know is how many visits you get in your product’s website. To know these numbers, you can use some statistic report that your hosting provider offers. Another very common option is Google Analytics.
With a report like that in hands, you get some important information, such as the number of visits, the number of unique visitors, amount of page views, amongst others. Depending on the statistical system you are using, you will also check what is the first and the last page visited during the access to your website; where (which country and city) your visitors come from; if they accessed your website due to a Google AdWords or Facebook campaign, or some other online campaign that you are running, or if they found your website organically, that is, typing the address directly; or searching for something in some search system. It is good to remember that it is important to hold these reports not only for your website but also for your entire software product.
Be careful. Many of the visiting report systems show a great amount of information, and it is easy to get lost in this sea of data.
Along with the number of visits and access that your website holds, other important data you must know about your web product are:
Napoleon Bonaparte, French political leader and military officer known for the Napoleonic Wars, through which he was responsible for establishing the French supremacy over the major part of Europe at the beginning of the 19th century, had a great defeat in 1812, in the Russian Campaign. This campaign was a huge military operation designed by the French and their allies that had a great impact on the Napoleonic Wars, setting the beginning of the decay of the First French Empire. In this campaign, Napoleon brought 580,000 soldiers, but only 22,000 survived, and the rest perished in the way from France to Moscow due to the difficulties found on the way (cold, rain, rivers, etc.).
This image reminds very much a website conversion funnel, which can be built with the data we discussed previously. The conversion funnel shows us how many potential clients we are losing on the way of attracting people to the site until the point someone pays to become your client:
The funnel displays several opportunities for you to understand better how your users interact with your product. Each part of the funnel has its specific characteristics and can be expanded in different ways. Focus on one piece at a time and test it. In the worst-case scenario, if the test goes bad, you can always come back to the previous situation. For a data geek, the funnel must be the very first data focus to be collected and analyzed.
In the next article, we will see two other metrics that are the natural consequence of the conversion funnel: engagement, that shows how the user utilizes your product; and churn, that shows how many users are not using it anymore, helping to identify why this happens.
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