If you’re using Google Analytics, you will have access to a bunch of data that came from Google monitoring the user experience of your visitors. Those data are used to gauge your website performance and also play a role in your SERP.
In this blog post we are going to talk about: what is user experience, how does it affect SEO, how to check your user experience signals data, and how those data matters.
https://seopressor.com/blog/what-is-user-experience-and-website-performance/
So the first priority is to attract as many users as possible, which today’s online giants did by creating a great “user experience”. Google, for instance, won out against Alta Vista, the leading search engine in the late 1990s, because its interface was cleaner, searches came up more quickly and the results were more accurate. Once such advantages have been established, they start up all kinds of flywheels. The service attracts users, which attracts suppliers of content (in Google’s case, websites that want to be listed in its index), which in turn improves the user experience, and so on. Similarly, the more people use Google’s search service, the more data it will collect, which helps to make the results more relevant.
https://www.economist.com/special-report/2018/06/30/the-story-of-the-internet-is-all-about-layers/
Admit it. We as consumers are a demanding bunch. We have high expectations of the brands around us – whether that’s simply knowing our preferences, tailoring our online journeys, individualizing communications, or providing quick and hassle-free customer support. Put simply, we want to be the apple of every business’ eye. If things don’t go our way, well….it won’t be long before we’re off looking for an alternative that will meet our expectations. This logic is precisely why personalization efforts are so critical to the success of businesses – especially in the digital era.
Being able to provide these personalized experiences, however, has proven to be a real challenge among many digital marketers who are still in the process of adjusting to this growing trend. In fact, almost 60% of marketers claim that they struggle to personalize content (in real-time); an occurrence which is often attributed to the company’s inability to gain customer insights quickly enough and apply them. One way of removing this hurdle and gathering the necessary information for personalizing is by collecting customer feedback.
Let’s take a closer look at how customer feedback data drives the three ‘breeds’ of personalization.
https://www.abtasty.com/blog/how-customer-feedback-drives-personalization-efforts/
In the era of GDPR, informed users were expecting to have greater control of their data. But what they hoped for, maybe subconsciously, was that this control would not just keep their personal data safe but also improve the user experience of digital services. Fewer surprising (and not in a good way) emails; fewer creepy ads; more transparent and therefore trustworthy and, dare I say, fun-to-use websites.
However, it’s clear that the variety of different approaches to compliance have not produced a utopian consistency in web forms, check-boxes and privacy notices – the user experience side of GDPR. Let’s not wade through the finer points of the legislation again; suffice to say that some companies have let ‘legitimate interests’ do more legwork than others, for better or worse, and the guidance from the ICO has not always been seen as gospel.
https://www.marketingweek.com/2018/08/14/ben-davis-gdpr-user-experience-is-still-broken/
With so much emphasis on user experience (UX) and agility in modern business, you would expect great design to be ubiquitous. It’s not. So Why does bad design keep happening? It’s the data. More accurately, it’s the lack of data, writes, Matthew Wishnow, Managing Director of Experience Design and Optimization at Accenture Interactive.
With so much emphasis on user experience (UX) and agility in modern business, you would expect great design to be ubiquitous.
It’s not.
https://www.martechadvisor.com/articles/ux-and-cro/why-design-fails-hint-its-the-data/
Companies love the "as-a-service" model for all layers of the technology stack, from infrastructure provided by cloud vendors to full SaaS applications. However, when it comes to data, companies are still operating in a mode of IT-owned and IT-controlled models, where users of data are waiting for their turn in line.
This year we will see the ongoing adoption of open source technologies, methodologies, and cloud services that move companies closer to an "as-a-service" model for their data, making their data scientists, data consumers, and data engineers more productive than ever.
https://tdwi.org/articles/2019/01/04/data-all-whats-ahead-for-data-in-2019.aspx/
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