User Experience design
Businesses all over the globe are gearing up to enhance user experience and adopting all the required tactics available out there. Big Data or Data and Analytics, Artificial intelligence (AI), and machine learning (ML) based solutions are among the best ones to improve user experience (UX). And these terms have become notable buzzwords across various industries in recent times.
While AI, ML, and Data Analytics have contributed significantly to the e-commerce, healthcare, education, energy, social, entertainment, and finance sectors, the mobile app industry provides excellent results—more promising areas for AI and ML. Various top mobile app development companies say they have been thriving and making waves by incorporating Big Data, AL, and AML to enhance the user experience on mobile apps for a while now.
Now, before heading on to what UX is and what are the ways to improve it, let's check out some stats:
Netflix uses data and analytics to continuously enhance its user experience to provide services that attract new users.
Almost 70% of Americans use AI & ML-based digital assistants daily to complete their work quickly and efficiently.
Today, almost all smartphone users are using AI-powered voice assistants.
It's predicted that almost 85% of user interactions in the future will be handled without a human.
Accenture has predicted that Big Data, AI, and ML will generate USD 14 T of additional revenue by 2035 and boost profitability by 38%.
What Is User Experience (UX) anyway?
If end-users are satisfied with a service or a product, you have provided more than required. In layman's language, UX consists of all the aspects of the end-user's interaction with your mobile app. That is, user experience = a person's feeling while interacting with your app, describing and allowing you to know how people think while navigating your mobile app.
Elements that contribute to UX:
User Interface (UI) Design
Ease of Use or Usability of Your App
Users' intent
User research.
Hence, UX is all about enhancing the functionalities of an app based on data collected from the users' end.
Importance of User Experience in Today's Time
The way the UX design field grows is remarkable and breathtaking but rewarding. All the credit goes to guide of mobile app development companies. The mobile app's quality has increased dramatically.
According to the Forrester report, they are coming to UX's importance for every USD1 invested in UX results in USD 100. That's an enormous ROI (actually, 9900%). Wow! This figure alone is more than enough for the importance of UX in today's age, where people are crazy about using mobile apps.
Simply put, UX is essential since it meets the users' needs and always aims to provide positive experiences so that your users keep loyal to your brand.
Moreover, a relevant UX design allows you to define customer journeys that help businesses thrive and achieve unprecedented success.
Ways Data and Analytics Can Improve User Experience in Mobile Apps
Even after COVID-19 and the global market crash, asking fundamental questions like 'How Data and analytics are helping to boost businesses?' tells that you're now aware of what's happening in the market!
There are numerous ways to know it, and the list is never-ending.
But there is nothing more efficient and accurate than pulling insights from data using AI and ML tools and techniques. AI and ML tools are best at observing and analyzing user behavior, optimizing various processes, leading up-sell, cross-sell, and many others.
Here are some ways data and analytics can improve UX for mobile apps, benefitting your business.
Let's dive right in!
Personalizing User Experience
You indeed come across suggestions like 'people you may know' or 'buying of products' or 'people are also searching for' etc. on social media apps, e-commerce apps, and search engines like Google, Bing, and Duck-Duck-Go. They all are based on Data Insights and are the aptest example of machine learning. Integrating AI and ML-based functionalities in mobile apps enhance user experience, gives your app a unique voice, and helps you stand out in the market.
You can use data and analytics to acquire potential customers, their needs, preferences, intent, etc., to improve the user experience, making your brand more famous. Data and analytics-based mobile app developers can create an immersive app that leads to a brilliant UX using advanced algorithms and predictive analytics.
Using Intelligent Algorithms
AI is best known for its advanced, intelligent algorithms that make things effortless. So, with its help, AI-equipped intelligent systems can process users' app data flawlessly, then apply changes for apps' optimization and make it future-ready.
With the help of continuous learning, AI uses its algorithms that help AI developers to develop a better user experience (UX) for mobile apps that can offer an engaging experience.
Making The Search More Advanced
DIY (Do It Yourself) videos, FAQs (Frequently Asked Questions), Articles, Scripts, and others are the best examples of data and analytics-based advanced search. For such advanced searches, data from previous investigations are picked up and prioritized based on users' interests using unique AI/ML algorithms.
AI/ML-based integration in mobile apps enables users to optimize their search. That improves the user experience and makes the search faster and wiser.
For example, Search any song on YouTube, Spotify, or Google, and you will get the result within a second, provided your device has high-speed internet access.
Personalizing Ads
The target audience expects both useful and contextually relevant content. The same is with the ads. It allows suitable ads for the targeted audience at the right time and wonders for your app's credibility and user experience. That's where comes the use of data and analytics.
Solutions based on AI/ML:
Gauge your audience and reach the right ones,
Show them the right kind of ads,
Improve user experiences, and
Finally, maximize your ROI.
Improving Customer Service
People today want minor disturbances and seek simple yet smart queries to their issues. They don't like when getting stuck, like fast assistance (or rather superfast). That's where AI/ML-based solutions (like intelligent chatbots and voice search assistance for queries with zero possibility of errors) play a significant role incredibly and deliver improved customer service.
Intelligent Chatbots are the best examples and benefit several industries, from healthcare and e-commerce to banking and finance. ML-based chatbots and mobile apps ensure your customers get the correct answers to all their queries, ultimately improving your app's user experience.
Enhancing Security
With mobile phones and internet access, people know security basics concerning their private info. And can't compromise security in today's digital time. Every day they come across the news of data breaching and related stuff now and then. Using AI/ML in your mobile apps can be an intelligent step to assure people.
For example, allows users to authenticate critical data using biometric options — like fingerprint or face detection equipped with high-end security. It will help them keep their data (text files, photos, private messages, audio files, etc.) safe and build trust in robust security among your audiences.
The Bottom Line
While incorporating data and analytics or AI/ML-based solutions, the bottom line will undoubtedly enhance the UX more than any other technology or means.
Do you know why?
Simply because of the use of advanced and intelligent algorithms. Today, many mobile app development companies have already started leveraging data and analytics to improve their apps' user experiences and better ROIs.
When are you going to invest in data and analytics-based mobile apps?
The experienced and dynamic team of AI/ML-based mobile app developers at Quokka Labs would love to hear your inspiring idea and help make it a reality. Drop us words through our contact page and get your free quote immediately!