Discover How to use Big Data: 4-step method for companies

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mayaboti
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Joined: Mon Dec 23, 2024 3:48 am

Discover How to use Big Data: 4-step method for companies

Post by mayaboti »

This data is generic and does not take into account individual landing pages but it begins to make us think about different areas of big data . Which device has the most revenue? Which has the greatest user flow between the pages of the site? But above all, which has the best conversion rate?



Analyzing data for e-commerce sites is substantially different from analyzing what is a loan? static sites. There are different KPIs to take into account and they change according to the needs of business and brand objectives.

In the month of September that is about to end, in most of the fashion and luxury sites we have important and interesting data that allow us to have an even more significant vision than the previous one. Always dividing the traffic by device we can see that:


Fashion & Luxury Mobile, Desktop & Tablet Traffic Data (September 2018)
The value of the data expressed in the infographic makes us reflect strongly on the use of different devices that we normally use during our typical day. We start browsing through mobile research, then analyze the information collected during working hours, and end the comparison at home with our partner or friends through the use of tablets.

As highlighted by research conducted by the website smartinsights.com to understand the use of devices:


2017-mobile-use-through-day.png
Is it normal then that sites are perfectly fluid and optimized for mobile search even if the data is not highly qualitative?

The answer is YES . Yes, because the user starts right there. Yes, because the 2018 fashion week has seen an increasing diffusion of streaming videos of the fashion shows with a large percentage of visits from mobile... to then convert from desktop or tablet.
Yes, because optimizing the site today for organic search must also take into account the keywords used, perhaps differently than on desktop - think for example of voice search .

Search intent changes when we use our mobile phones before 10 a.m., but the user experience, even if it starts on the mobile phone... ends on the tablet.
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