Hyper personalization is a marketing strategy that involves collecting data from individual customers and using it to create tailored experiences for them. It is the game-changing feature that is going to define AI app development. 

Hyper personalization is becoming increasingly important in today’s digital age, as customers are expecting more personalized experiences from the businesses they interact with. 

By using hyper personalization, businesses can create a stronger connection with their customers and increase their loyalty.

And the result is more engagement, customer satisfaction, brand loyalty, and ultimately, sales. 

According to data from CleverTap, mobile app conversions saw an increase of 250% after implementing hyper personalization. 

Using AI/ML in mobile app development, it is possible to deliver exactly what the user needs at the right time. 

By implementing hyper personalization in your mobile app development, you can create an addictive mobile app that the user simply cannot put down.   

Let us look at the mind-blowing features you can implement in your mobile app by using hyper personalization. 

7 Ways Hyper-Personalization Changes Everything

Hyper-personalization is going to be the next big thing in AI app development. 

From content recommendations to notifications, everything will be personalized to the user’s interests. 

Here are 7 examples of hyper personalization in a mobile app:

1: Precise recommendations

Hyper personalization is revolutionizing the way mobile applications interact with users. With advancements in machine learning, AI is now capable of providing personalized recommendations in a mobile app to give users a tailored experience.

Hyper personalization can be used to offer users content, products, or services that are relevant to them. 

By tracking user preferences and behavior, AI can identify patterns and make suggestions based on what is most likely to appeal to the user. 

This can help to improve user engagement and retention, as well as drive more revenue for the app.

For example, an AI-powered recommendation engine in a music app can suggest songs and albums based on the user’s past listening habits. 

Similarly, an AI-driven news app can provide personalized news stories that are tailored to the user’s interests. 

AI can also be used to provide product recommendations in shopping apps, content suggestions in streaming apps, or even tailored advertisements in gaming apps.

AI-powered personalized recommendations can also be used to increase user engagement by personalizing the user experience. 

By using AI to track user behavior, apps can provide notifications, reminders, and messages that are customized to the user’s interests and needs. 

This helps to create an immersive user experience, allowing the user to feel more connected to the app.

Overall, AI-driven personalized recommendations can be a powerful tool for improving the user experience in mobile apps. 

By leveraging AI to provide users with tailored content, products, or services, mobile apps can create a more engaging and personalized user experience, while also increasing user engagement and revenue.

2: Homely Home Page

Hyper personalization can play a major role in the development of personalized home pages for mobile applications. 

AI can utilize data from user interactions, such as their search and browsing history, to understand each user’s interests and preferences. 

This data can then be used to create custom home pages that are tailored to each individual user.

AI can use natural language processing to understand user language and intent.

For example, it can identify topics that the user is interested in, as well as any associated keywords. 

AI can also use machine learning algorithms to analyze past user activities and interactions, such as clicks and scrolling, in order to understand what content would be best suited for each individual home page.

AI can also be used to personalize the content on the home page. 

For example, the AI can analyze user data to determine what content they are most likely to engage with, such as articles, videos, or products. It can then suggest relevant content to the user, which can be displayed on their home page. 

This feature can be used to ensure that the user is not overwhelmed by too much content and that they are presented with content that is most likely to engage them.

Finally, AI can also be used to continuously monitor user interactions and update the home page to reflect their changing interests and preferences. 

This ensures that the home page is always up to date with the user’s interests.

Overall, AI can be a powerful tool in helping to develop personalized home pages for mobile applications. 

It can be used to understand the user’s interests and preferences, personalize content, and continuously update the home page to ensure that it is always up to date with the user’s changing interests and preferences.

3: Personalized Navigation

Hyper Personalization can be used to build personalized navigation in a mobile app, greatly improving the user experience. 

Personalized navigation allows users to quickly and easily access the features and content that are most relevant to them. 

AI can be used to analyze user behavior and preferences, such as the pages they visit most often or the items they purchase, and serve up personalized navigation options. 

AI-powered navigation also makes recommendations based on user behavior, showing users content that might be of interest to them. 

AI-powered navigation also improves the user experience by reducing the amount of time it takes to find information. 

AI-powered search algorithms can quickly analyze large datasets and identify the most relevant content for the user. 

This reduces the amount of time it takes for the user to find the information they need.

AI-powered navigation also helps to improve the overall performance of the app. 

AI algorithms can be used to optimize the user interface, ensuring that users are able to quickly and easily access the features and content they need. 

This not only improves the user experience, but also helps to reduce the strain on the app’s performance.

By implementing Hyper Personalization in navigation, mobile developers can improve the user experience of their apps and ensure that their users are able to quickly and easily access the content they need. 

AI-powered navigation allows users to find the content they need faster and helps to improve the overall performance of the app.

4: Personalized Search

Hyper Personalization has revolutionized the way mobile app developers create personalized search experiences for their users.

By leveraging the power of AI, developers can build search experiences that are tailored to the unique needs and preferences of each user.

The first way AI can help build personalized search in a mobile app is by understanding user intent. 

AI can analyze user input and categorize it according to the user’s intent.

For example, if a user were to search for “sushi restaurants near me,” AI can quickly identify that the user is looking for local sushi restaurants and provide relevant results.

The second way AI can help build personalized search in a mobile app is by understanding user preferences. 

AI can track user behavior and apply machine learning algorithms to build models that can accurately predict user preferences. 

The models can then be used to suggest relevant search results based on the user’s past behavior and preferences.

The third way AI can help build personalized search in a mobile app is by understanding user context. 

AI can analyze the user’s current location, the time of day, and other factors to deliver relevant search results based on the current context. 

For example, if a user were to search for “coffee” while in a particular city, AI can quickly identify the location and suggest nearby coffee shops.

Finally, AI can help build personalized search in a mobile app by providing natural language processing capabilities. 

AI can parse user input and understand the meaning behind it, allowing it to provide more accurate search results. 

For example, AI can understand a phrase such as “show me the nearest coffee shop” and provide relevant results based on the user’s current location.

Overall, AI can help build personalized search in a mobile app by understanding user intent, preferences, context, and natural language. 

By leveraging the power of hyper personalization, you can create search experiences that are tailored to each user’s individual needs and preferences.

5: Compelling Notifications

Hyper personalization for notifications in a mobile app is a marketing strategy that utilizes personalized messages sent to app users based on their individual preferences and behaviors. 

By understanding the individual user’s needs, wants and preferences, hyper personalization allows companies to create highly targeted, relevant, and timely messages that are specifically tailored to each user’s individual interests.

Unlike traditional marketing campaigns which often use generic messages that are sent to all users, hyper personalization allows companies to deliver truly unique and personalized notifications in a mobile app. 

Companies can use data from user behaviors, demographics, and other sources to create highly targeted messages that are more likely to be effective in engaging the user.

In addition to targeting messages, companies can also use hyper personalization to optimize the timing of when messages are sent. 

By tracking user behavior, companies can determine what time of day is most likely to be successful in getting the user’s attention and delivering their message.

Overall, hyper personalization for notifications in a mobile app can be an effective way for companies to engage their users and create a more meaningful connection. 

With the right data and understanding of the user’s preferences, companies can create highly targeted messages that are more likely to be successful in getting the user’s attention and delivering their message.

6: Location-Based Marketing

Hyper Personalization for location based marketing in a mobile app is a powerful marketing tool that can be used to drive more customers to businesses and increase engagement with existing ones. 

Location based marketing is the practice of using location-specific data and information to target customers in a specific area with tailored offers and promotions. 

By leveraging the user’s physical location, businesses can create highly targeted campaigns that are more likely to be effective in reaching their target audience.

Mobile apps are an ideal platform for location based marketing as they provide access to a wide range of data about their users, such as location, demographic, and preferences. 

With this data, marketers can create personalized campaigns that are tailored to the needs of their target customers. 

By leveraging hyper personalization techniques, marketers can create campaigns that are tailored to the individual, rather than simply targeting a broad demographic or geographic area.

For example, hyper personalization for location based marketing could be used to target users with promotional offers for local businesses that are near their current location. 

The user could also be presented with deals that are tailored to their interests and preferences, such as discounts for certain types of restaurants or stores. 

Hyper personalization can also be used to tailor the experience of using an app, with the user presented with content that is tailored to their preferences and interests.

Hyper personalization for location based marketing can provide businesses with a powerful tool for increasing engagement with users and driving more customers to their businesses. 

By leveraging the user’s location, businesses can create highly targeted campaigns that are more likely to be effective in reaching their target audience. 

Additionally, hyper personalization can help to increase user engagement by creating a personalized experience within the app.

7: Personalization From The Get-Go

Hyper personalization offers mobile app developers the ability to personalize the user experience from the get-go. 

This type of personalization is accomplished through the use of algorithms to collect and analyze data about users and their behavior within the app. 

This data is then used to tailor the experience to the individual user, presenting them with the most relevant information, content, and features for them. 

For example, a mobile app may be able to identify a user’s interests and preferences through their behavioral data and use this information to present a more personalized set of options. 

This could include content recommendations, promotional offers, push notifications, or even customized product recommendations. 

This type of personalization allows the user to receive personalized experiences that are tailored to their exact needs and interests, instead of being presented with a generic experience.

Hyper personalization also allows mobile app developers to leverage user data in order to better understand their users and offer them a more streamlined experience. 

This data can be used to create more targeted marketing campaigns and better identify user segments for improved targeting. 

Additionally, this data can be used to optimize the app experience for users, such as by improving the navigation structure or providing more intuitive search capabilities.

By leveraging hyper personalization, mobile app developers can create a more engaging user experience that is personalized from the start. 

This allows users to have a more enjoyable experience and increases the likelihood of them returning to the app. 

Ultimately, hyper personalization allows mobile app developers to create a better user experience and increase engagement with their users.

WDI: The Best Mobile App Development Company

To implement a futuristic feature like hyper personalization, you need the support of the best mobile app developers at your hands.

This is where WDI can help you create unique and addictive mobile apps that can give your business the edge. 

With 21+ years of experience in software development, we provide the most advanced mobile app development services. 

All you have to do is contact us and we will have a chat about your mobile app idea.

Let us create a masterpiece together. 

The post Hyper personalization: How AI app development can build addictive mobile apps appeared first on WDI Blog.

Machine Learning App Development is going to be a future-defining technology. 

If you want your mobile app to stand out and be equipped with advanced features, machine learning app development is something you should look into. 

We are on the cusp of a new era in mobile app development. One where machine learning will play a pivotal role in creating better, more personalized experiences for users.

We are already seeing the potential of machine learning in apps like Google Photos and Prisma. 

Google Photos uses machine learning to automatically group photos by subject, location, and even the people in them. 

Prisma uses machine learning to turn photos into works of art in a variety of styles.

These are just two examples of how machine learning can be used to enhance the mobile app experience. As machine learning technology continues to evolve, we can expect to see even more amazing and useful applications of it in mobile apps.

Some believe that machine learning will eventually replace human developers altogether. While that may be a bit of an exaggeration, there is no doubt that machine learning will have a major impact on the future of mobile app development.

10 Impossible Features Machine Learning App Development Can Make Possible

Machine learning app development brings with it some mind-blowing features and functionalities in mobile app development that seemed impossible a few years ago. 

These features can help in providing a next-level user experience and this in turn will help you get more leads through your app. 

Let us look at these incredible features that will make you want to implement machine learning in your app right now. 

1: Data Mining

The ever-growing popularity of mobile devices has led to an explosion in the amount of data generated each day. This data can be incredibly valuable, but only if it is properly analyzed and actionable insights are extracted from it. This is where machine learning comes in.

Machine learning algorithms are designed to automatically find patterns in data and extract useful information from it. This information can then be used to improve the performance of your mobile app in a number of ways.

For example, if you have a retail app, you could use machine learning to better understand your customers’ buying habits and preferences. This would allow you to personalize the user experience and offer them products they are more likely to be interested in.

Similarly, if you have a gaming app, you could use machine learning to analyze user behavior and identify areas for improvement. This could be anything from redesigning levels to make them more fun and challenging to tweaking in-game mechanics to reduce frustration and encourage more playtime.

In short, if you want to make the most out of the data generated by your mobile app, you have to go for machine learning app development. It is the only way to automatically find the patterns and insights that will help you improve your app and make it more successful.

2: In-Depth Analyses

As the world becomes more and more digitized, the need for accurate and up-to-date data analytics is only going to become more important. 

Machine learning is a field of artificial intelligence that is particularly well-suited to providing these kinds of analyses.

The increasing popularity of machine learning is due to the fact that it can provide better analyses than traditional methods. 

Machine learning algorithms have the ability to automatically learn and improve from experience. 

This means that they can learn from data, identify patterns, and make predictions.

This is why machine learning is particularly well-suited for dealing with big data. 

With traditional methods, it can be difficult to make sense of large data sets. 

However, machine learning algorithms can automatically find patterns and insights in data.

There are many different applications for machine learning. For example, it can be used for fraud detection, stock market predictions, or to personalize online experiences.

Another advantage of machine learning is that it can be constantly learning and improving as new data is fed into the system. 

This means that the results you get from a machine learning system are likely to be more accurate and up-to-date than those from a static, traditional analysis.

Finally, machine learning is just plain faster than traditional methods. This is because the algorithms can be run in parallel on multiple cores and because they don’t require the same kind of painstaking data preparation that humans do.

If you are looking to get more out of your data, then machine learning is definitely something to consider. With its ability to provide better analyses, it can help you make better decisions and improve your business.

3: Precise Tracking

The development of machine learning apps provides better data tracking for a number of reasons. 

Firstly, machine learning apps are able to automatically track data and identify patterns that would otherwise be missed. 

This means that more data is captured and stored, providing a more complete picture of customer behavior.

In addition, machine learning apps can provide insights into customer behavior that would be difficult to obtain through traditional means. 

For example, by analyzing the data collected by the app, businesses can identify which customers are more likely to make a purchase, and target them with relevant offers. 

This allows businesses to focus their marketing efforts more effectively and reduces the amount of wasted spending.

Overall, machine learning app development provides a number of benefits for businesses when it comes to tracking data. 

By automatically collecting and analyzing data, businesses can obtain a more complete picture of their customers, and use this information to improve their marketing and sales strategies.

4: Improved Search Engine

Traditional search engines are struggling to keep up with the rapidly changing content on the web. This is where machine learning app development comes in to provide better searches to users. Machine learning algorithms can automatically find and index new content as it is published, making it available for search almost immediately. 

Machine learning is widely used in a variety of applications, such as email filtering, detection of network intruders, and computer vision. In the search industry, machine learning is used to personalize search results, improve search relevance, and combat spam.

This means that users are more likely to find the information they are looking for when they need it.

In addition, machine learning can be used to personalize search results for each user.

By taking into account the user’s past search history and clicks, the algorithms can learn what the user is interested in and tailor the results accordingly. 

This provides a much more relevant and useful search experience for the user.

Machine learning algorithms power search engines by constantly tweaking and adjusting their ranking algorithms to deliver better results. 

The goal of machine learning is to make the search engine smarter and more efficient at understanding the user’s intent and returning the most relevant results.

The benefits of machine learning for search are many. 

Machine learning can help search engines better understand the user’s intent, identify and rank the most relevant results, and combat spam. 

Machine learning app development is also helping search engines become more personal, delivering results that are tailored to the individual user.

5: Real-Time Data Monitoring

Machine learning app development can provide better data monitoring in a number of ways. 

First, machine learning algorithms can be used to automatically detect patterns in data that might be indicative of a problem. 

For example, a machine learning algorithm could be used to detect a sudden increase in error rates in a data set. 

This would allow the app developers to quickly identify and fix the problem.

Second, machine learning app development can also be used to create predictive models. 

These models can be used to predict future trends in data. 

This would allow app developers to take proactive measures to avoid future problems.

Third, machine learning app development can be used to create decision trees. Decision trees are used to make decisions based on data. 

For example, a decision tree could be used to decide whether or not to send a notification to a user about a problem. 

This would allow app developers to make better decisions about when and how to notify users about problems.

Here is a decision tree for notifications in an OTT app.

Because of this, the user is more likely to be engaged and it also prevents user disabling notifications because of being annoyed by them being untimely. 

Fourth, machine learning app development can be used to create cluster analysis. Cluster analysis is used to group data together. 

For example, a cluster analysis could be used to group all of the data points that are related to a particular problem. This would allow app developers to quickly identify and fix the problem.

Overall, machine learning app development provides better data monitoring because it can be used to detect patterns automatically, predict future trends, make better decisions, and group data together.

6: Security

In the past, security systems have been largely reliant on human intelligence and intuition to identify potential threats and protect against them. 

However, machine learning app development provides a more robust and effective way to keep data and systems safe.

Machine learning algorithms can be trained to identify patterns that are indicative of security threats. 

They can also be used to monitor activity in real-time and flag anything that looks suspicious. 

This means that potential threats can be identified and dealt with much faster before they have a chance to cause any damage.

In addition, machine learning can be used to create predictive models that can identify future threats. 

This allows businesses to take proactive measures to protect themselves, rather than waiting for an attack to happen and then trying to react to it.

Overall, machine learning app development provides a much more effective way to keep data and systems safe. 

It can help businesses identify and deal with potential threats much faster, and take proactive measures to prevent future attacks.

7: Engaging UI/UX

Machine learning allows computers to learn from data without being explicitly programmed. This is in contrast to traditional programming, where mobile app developers must specify all the rules that the computer should follow.

Machine learning is a powerful tool for creating better user interfaces. By using data to learn how users interact with a system, machine learning can optimize the user experience by making the interface more intuitive and efficient.

For example, a machine learning system might be used to improve the search function of an app. By learning from the user’s search history, the system can better understand the user’s needs and provide more relevant results, as Point No. 6 explains.

Similarly, machine learning can be used to improve the usability of a mobile app.

By tracking how users interact with the app, the system can learn which features are most used and which are least used. 

The app can then be designed to focus on the most important features and make them more accessible.

Here is how ML can be used in a food ordering app to provide better UX based on time.

Overall, machine learning provides a better user experience by making interfaces more intuitive and efficient. 

By using data to learn how users interact with a system, machine learning can optimize the user experience and make it more enjoyable.

8: Facial Recognition

Machine learning app development provides facial recognition by using a technique called deep learning. 

Deep learning is a branch of machine learning that uses a neural network to learn from data. 

A neural network is a computer system that is modeled after the brain, and it can learn to recognize patterns in data.

Facial recognition is the process of identifying a person from a digital image or video. 

It can be used to identify people in a crowd or to verify the identity of a person who is trying to access a secure area. 

Facial recognition is a difficult problem for computers to solve because there are so many variables, such as changes in lighting, facial expressions, and head position.

Deep learning is well-suited to facial recognition because it can learn to recognize patterns in data. A deep learning neural network can be trained to recognize faces by looking at a large dataset of images of faces. 

The neural network will learn to recognize the patterns that are common to all faces, and it will be able to identify a face in a new image.

Machine learning app development can provide facial recognition for a variety of applications. 

It can be used to verify the identity of people who are trying to access a secure area, such as a building or a computer system. 

It can also be used to identify people in a crowd or find a lost child in a public place.

9: Voice Recognition

Machine learning app development can provide voice recognition in a number of ways. 

One way is by providing a library of recorded speech that the app can use to identify the user’s voice. 

Another way is by using the microphone to constantly listen for the user’s voice and identify it when it is heard. 

And a third way is by using a combination of the two methods.

The most important thing for an app to do when it comes to voice recognition is to be able to identify the user’s voice with a high degree of accuracy. 

This is because, if the app is not able to accurately identify the user’s voice, it will not be able to provide the user with the desired results.

There are a number of different factors that can affect the accuracy of voice recognition. 

One of these is the quality of the microphone. If the microphone is of poor quality, it will be more difficult for the app to accurately identify the user’s voice. 

Another factor that can affect accuracy is the user’s environment. 

If the user is in a noisy environment, it will be more difficult for the app to accurately identify the user’s voice.

Finally, the user’s own speech patterns can also affect the accuracy of voice recognition. 

If the user has a very thick accent, it will be more difficult for the app to accurately identify the user’s voice.

However, if the app is able to accurately identify the user’s voice, it can provide the user with a number of benefits. 

One of these is the ability to provide the user with results that are tailored to their individual needs. For example, if the user is looking for a particular type of result, the app can provide the user with results that are specific to that need.

In addition, the app can also provide the user with the ability to interact with the app in a natural way. This is because the app can understand the user’s voice and provide the user with results that are relevant to the user’s current conversation.

Finally, the app can also provide the user with the ability to save time. 

This is because the app can provide the user with results that are relevant to the user’s current conversation without the user having to search for them.

10: User Authentication

Authentication is the process of verifying the identity of a user. In many cases, this is done by asking the user to enter their username and password. 

Once the user has been authenticated, they will be able to access the resources that they are authorized to use.

Machine learning can be used to develop authentication systems that are more secure and efficient than traditional methods. 

For example, machine learning can be used to develop systems that can identify patterns in user behavior. These systems can then be used to detect when a user is attempting to access a resource that they are not authorized to use.

Machine learning can also be used to develop systems that can identify when a user’s credentials have been compromised. 

These systems can then be used to prevent the user from accessing resources that they are not authorized to use.

Overall, machine learning can be used to develop authentication systems that are more secure and efficient than traditional methods. 

This can help to improve the security of a system and make it more difficult for unauthorized users to access the resources that they are not supposed to have access to.

WDI- The Best Machine Learning App Development

All of these reasons are just the tip of the possibilities of machine learning.

In the coming years, machine learning technology is going to innovate exponentially, and the startups that are going to implement machine learning in their mobile app development will have an edge over others. 

To implement an advanced technology like machine learning, you need a mobile app development company with expertise in it. 

With 21+ years of experience in software development, WDI has worked with the most advanced technologies of each decade. 

This decade is going to be dominated by machine learning, and we are equipped with mobile app developers who are experts in the field of machine learning.

With hundreds of satisfied clients, we guarantee nothing but excellence. 

To get your machine learning mobile app developed by us, all you have to do is contact us and we will have a discussion over your app idea.

Let us build something futuristic together!

The post Machine Learning App Development: 10 Reasons To Implement ML In Your Mobile App Development appeared first on WDI Blog.

Custom mobile app development and low code mobile app development are the two paths you can take to create a mobile app for your startup. 

Mobile app development is one of the biggest desires startup owners have in 2022. 

From user engagement to revenue generation, the possibilities with mobile apps are endless.

In 2021, people in the USA spent over $7 billion on mobile apps, according to Statista. Even niche apps witness millions of dollars of revenue every quarter. 

Talking about time, people spend billions of hours on apps every quarter. Due to the convenience offered, people find it better to use an app rather than visit an offline store.

Plus, the ability to be available to your clients 24/7 is simply unbeatable. 

This is why mobile app development has become the dream of every startup.

This also means that there is a ton of competition and saturation in the mobile app industry. 

To make your app stand out, it is important to take the right steps and make the right decisions. 

Both custom mobile app development and low code mobile app development offer excellent results. However, the one you should select depends on your business objectives and requirements. Making the right choice is crucial for the success of your mobile app. 

We at WDI have compiled the differences between the low code mobile app development and custom mobile app development so that you get a crystal clear idea of which one is best for your startup. 

Before we compare both of them, let us understand what they are.

What is Low-Code Mobile App Development

Low-code mobile app development platforms allow businesses to create custom mobile apps without needing to invest in costly and time-consuming development resources.

These platforms provide a cost-effective and efficient way to develop and deploy mobile apps and can be used by businesses of all sizes.

Low-code mobile app development platforms typically provide a visual drag-and-drop interface for app development, making it easy for even non-technical users to create sophisticated mobile apps.

In addition, these platforms often include a wide range of built-in features and functionalities, allowing businesses to create apps with minimal coding.

What is Custom Mobile App Development

Custom mobile app development is the process of creating a custom mobile app for a specific client or customer.

This type of app development usually involves working with the client or customer to create an app that meets their specific needs and requirements.

Custom Mobile App Development Vs Low Code Mobile App Development

There are pros and cons to whichever path you choose. The choice depends on what you want to achieve with your app and the kind of experience you want to provide to your users. 

Here are the major points that will help you decide which path to take according to your requirements. 

1: Mobile App Development Time

Good things take time, but sometimes time is the limiting factor. Due to some reason, you have to launch an app as soon as possible. Which one will serve you better.

Custom mobile app development can take anywhere from a few weeks to months or even years, depending on the complexity of the app. This is quite a long time if you want an app ASAP.

Whereas once you are finished developing, you will have a few days of maintenance, as this is where you fix bugs, eliminate errors, and make sure that everything is working properly.

As you can see, custom mobile app development is quite the process, and for some businesses, this might be too much of a load, or perhaps they need to cut everything due to a lack of money or time.

With low code app development, this is a different story, because the time to develop your app might be only a couple of hours.

Sometimes it might even take less time than that, and even if your code requires some maintenance, once it is done, you will most likely be able to launch it very quickly on app stores and let people download it.

Bigger apps can take a few days, but rarely will it take a month. 

This is due to the simplistic nature of low code mobile apps. All it takes are a few drags and drops to create a screen. 

2: Skill Required

Mobile app development consists of coding, UI/UX design, testing, and launching. All of these require highly skilled professionals who can get the job done. 

You will need a team of mobile app developers, designers, and testers to create a custom app. Or else, you can hire a mobile app development company to make the process simpler. 

Custom mobile app development is not possible without skilled professionals. 

On the other hand, low code mobile app development is all about drag and drop. It can be done by any person, with or without a technical background. 

You do not require any resources for the task, as it can be done by anyone on your team.

3: Features & Functionalities

This is where things change.

As we mentioned earlier, good things take time. Although low code mobile app development is quick and easy, you are limited by the boundaries set by the platform.

You can only implement the features and functionalities that are available on the platform.

These platforms have limited templates that you are stuck with. 

If you go with these platforms, your app will miss out on some essential features, and that will be counterproductive in the long run.

With custom mobile app development, you can create anything you want. The sky is the limit.

From the most unique design to the most advanced features, everything can be implemented in a custom mobile app. 

If you want AI and ML in your app, consider it done.

Want advanced algorithms? Everything is possible. 

Want to provide hyper-personalization? A piece of cake. 

A custom app will be a reflection of your brand, following your brand’s theme and design, and carrying over the same essence. 

4: Maintenance

When it comes to the maintenance of low code mobile apps vs custom mobile apps, there are a few key differences to consider.

For starters, custom mobile apps tend to be more expensive to maintain due to the need to hire developers to make changes and updates.

Low code mobile apps, on the other hand, can be updated and maintained by anyone with a basic understanding of the platform, which can save on costs.

Additionally, custom mobile apps can be more difficult to keep up to date, as they often require manual updates, whereas low code mobile apps can be updated automatically.

Finally, custom mobile apps can be more complex and time-consuming to troubleshoot, while low code mobile apps tend to be more user-friendly and easier to fix.

5: Personalization

The platforms used to build low code mobile apps come with limited templates and animations. 
Although the number will increase, it is nothing compared to what is possible with a custom mobile app. 

With custom mobile app development, you can create any design and animations you want, as long as they are technically possible. 

3D, glassmorphism, neumorphism, etc. All types of designs and themes are possible with custom mobile app development. 

6: Security

First and foremost, it is important to understand the security risks associated with the specific app development platform being used. This will allow mobile app developers to take the necessary steps to mitigate these risks. For example, if the platform uses a database, it is important to ensure that the database is properly configured and secured.

With low code mobile app development, you are relying on a third-party platform.

This means all the data you provide to build the app is with the platform and can be used for sketchy purposes. While reputed platforms will not tamper with your data, hackers will not have the same intention. 

As the platform is available for the general public to access, it is also available to hackers. They can figure out ways to crack the code and search for vulnerabilities. 

As the app is made by external software, you do not have complete control over it, and that is a big downside. 

When you develop a custom app, you have control over every single line of code written. This gives you more control over the app.

You can implement the most advanced security features to leave no stone unturned.

Security patches can be released, bugs can be fixed with a custom app, and a new update can be launched on the app stores. 

Pros And Cons of Low Code Mobile App Development

Pros And Cons of Custom Mobile App Development

Summary

The debate between custom mobile app development and low code mobile app development is one that is unlikely to be settled anytime soon.

Each approach has its own advantages and disadvantages, and the best choice for a given organization will depend on a variety of factors.

Custom mobile app development is the traditional approach to creating mobile applications. 

In this approach, developers make the entire application from scratch, using a programming language such as Objective-C or Java.

This approach offers the greatest flexibility, as developers can create any kind of application they can imagine.

 However, it also requires the most development time and expertise and is thus more expensive than other approaches.

On the other hand, low code mobile app development involves using a pre-built framework to create mobile applications.

This approach is faster and easier than custom mobile app development, as it requires less development time and expertise.

However, it offers less flexibility, and you are limited to the features and functionality offered by the framework.

Custom mobile app development allows for a greater degree of control over the final product. Organizations can specify exactly how they want the app to look and function, and they can be confident that the end result will meet their needs. 

The downside of custom mobile app development is that it can be time-consuming and expensive. Organizations will need to invest in a team of experienced developers, and the process can take months or even years to complete.

On the other hand, low code mobile app development is much faster and easier. With low code development tools, organizations can quickly create an app with minimal coding required.

The trade-off is that low code mobile app development can be less flexible than custom mobile app development. Organizations may need to compromise on some features or functionality in order to get their app to market quickly.

Ultimately, the decision of whether to go with custom mobile app development or low code mobile app development will come down to the specific needs of the organization.

Both custom mobile app development and low code mobile app development come with their pros and cons, but if you want the best mobile app for your startup and are willing to spend for the same, go for custom mobile app development. 

Why Choose WDI

If you want the best possible app for your startup, look no further than the best mobile app development company, WDI. 

With over 21 years of experience in mobile app development, we provide nothing but excellence to our clients.

It is not possible to survive the future without the use of AI and ML in your mobile app. 

At WDI, we provide the most advanced AI and ML algorithms to our clients for developing future-ready mobile apps. 

From providing hyper-personalization to keeping users engaged with next-level algorithms, we have mobile app developers that work with every modern technology. 

If you want to hire WDI as your mobile app development partner, all you have to do is contact us, and we will discuss your mobile app idea. 

Allow us to serve you the best.

Let us build something wonderful together.

The post Custom App Vs Low Code Mobile App Development – Which is the best bet for your startup? appeared first on WDI Blog.

You have a brilliant app idea and want to find the best mobile app development company that can do it justice. We understand how confusing it will be to find the right mobile app developers among the ton of them.

You have no idea whether your project is in safe hands.

Will they be able to provide the right technology to implement the best features for your app?

Will they get it done fast?

Will they provide you with the best value for your money?

To make the process easier for you, WDI has created a list of things you should consider before choosing a mobile app development company.

How To Choose A Mobile App Development Company

When you opt for any service, you must do thorough research on which company can provide you with the best.

When you are developing a mobile app that is going to define your brand and decide your future pathways, there is no alternative to market research. The right company can lead you to a rocket to success while the wrong one leads to peril and wasted money.

Find out the best mobile app development company in your locality or worldwide. Both offer their unique advantages.

When you choose a mobile app development company that is in your city, you can give them a visit and have a one-on-one conversation about your project. You can have meetings personally with the mobile app developers and get all your queries solved.

But, if a good company is not available in your city, you can opt for a company in another city or another country. With this, you ensure that you are hiring one of the leading mobile app developers in the world.

Plus, with online meeting platforms, communication will not be a problem.

Make a list of your preferred companies and contact them. Check if they can handle your project requirements. If you are running on tight deadlines or budgets, you can inquire about that as well.

 

However, keep in mind that good apps take time to develop and they definitely do not come cheap. You must be willing to go the extra mile if you want quality mobile app development. 

 

If a company is offering you much faster and cheaper development than others, consider that a red flag. They will compromise on quality to get faster development.

3: Technologies Available

5: Digital Marketing

Why WDI Is The Best

If you want a mobile app development company that fulfills all of the above mentioned factors, then you are at the right place.

From the best mobile app developers to the digital marketing teams for making your app successful, you get everything when you choose WDI.

You know your project is in the right hands when you choose a mobile app development company with 21+ years of experience in developing ground-breaking software.

Allow our experts to handle your project.

Contact WDI now and let us create something awesome!

The post 8 Things to Consider Before Choosing a Mobile App Development Company appeared first on WDI Blog.

Mobile app development is what most startups are going for. With the right concept, a mobile app can become your biggest asset and can drive success.

A mobile app is like building your office on everyone’s phone. You can stay connected with your clients 24/7.

All you need is a wonderful app that gets your business across.

It will require in-depth planning, strategizing, and managing of all the steps of mobile app development.

We understand that it is simply impossible to get all the knowledge about development, but you must know how the process works so you are able to go hand in hand with your mobile app developers.

With this blog, you will understand what all goes behind the mobile app development process, and you will be able to better guide your mobile app developers to get the best app for your startup.

Why Should You Invest In A Mobile App?

Data is the most valuable currency in the digital world. People are willing to go to any extent to collect user data. This data helps them to understand where their target audience is and how they can reach it.

When people sign up for your mobile app, they give you a lot of valuable information, like their gender, age, location, etc. Along with this, you will get a lot of data by analyzing their behavior and through direct feedback channels.

This information can help you refine your app for success.

If this information is not enough, you can even conduct in-app surveys and directly ask the questions you want answers to.

Must-Know Mobile App Development Factors

2: How To Develop A Mobile App

Conclusion

These were the important aspects of mobile app development that you must know as a startup owner to ensure that you get the results you deserve.

It is important to have an idea of what goes on behind the scenes of mobile app development so that you can stay connected with your mobile app developers.

It should not be that you have no clue what is happening.

To summarize, there are three types of mobile apps, PWA, Native, and Hybrid. All come with their advantages and disadvantages.

To develop an app, you can go for a freelancer, hire in-house developers, or hire a mobile app development team, which is the best option of the three.

After the app is developed, you need to know how to market it. There are many aspects of marketing, of which mobile app market research, ASO, and digital marketing are the most important.

At WDI, we have 21+ years of expertise in software development. We have a track record of creating successful apps like CSE, MCCC, Sattva Connect, LocOff, and many more.

Allow us to handle your mobile app development project.

All you have to do is share your app idea with us and we will take it from there.

Let us build something majestic.

The post The A To Z Of Mobile App Development For Startups appeared first on WDI Blog.

As a successful startup, there are basically two types of mobile apps that you will require. One app is for getting your services to your customers, which is known as a B2C app. The second connects your business with other businesses, stakeholders, and partners. This is known as a B2B app.

You are probably familiar with a B2C app as that is what most apps on the App Store are.

A B2B app is very niche-specific and something that most startups ignore but should not, as it will simplify business workflow, streamline business operations, enhance communication, and most importantly, make life easier.

First, understand what a B2B app is.

What is a B2B App?

A B2C app is made for normal people to use, while a B2B app is just restricted to a particular business and its requirements. The target groups are the biggest difference between both.

Because of this, the objectives and functionality of both differ.

A B2C app can have a wide range of functionalities, like entertainment, marketplace, fintech, trading, gaming, or something as simple as changing wallpapers. But, a B2B app is made to fulfil a business-centric purpose.

Mailchimp is designed for businesses to send out multiple emails to their clients. For a normal person, this is useless as their work can be done with a simple B2C mailing app like Gmail or Outlook.

As a B2C app is not restricted, its audience is a lot bigger than a B2B app. However, certain B2B apps have a huge user base like Mailchimp and Asana due to their being open to everyone for download and serving a larger purpose that every startup requires.

As most B2B apps are made to be used by professionals, a glittery UI is not a priority. But for a B2C app to appeal to the mass audience, an attractive UI becomes a necessity.

Another major difference is how both types of apps are marketed. If the B2B app is restricted to just in-house use, marketing is not required. A simple email to all employees or an announcement in the office can get the job done.

For public B2B apps, monetization is done by making them paid or subscription-based models. B2C apps are usually free and monetized through ads and in-app purchases, although many have subscription-based models as well.

For B2C apps, the competition is cutthroat. If your app is not up to the mark, it will not get any downloads. This does not apply to B2B apps unless they are meant to target a large user base.

We hope that you have a crystal clear idea of what a B2B app is and what it does. Now, here are a few benefits you will get by developing a B2B mobile app.

Also, Read: 15 Ways to Build a Secure Mobile App | Secure Application Development

6: Encrypted Communication

A B2B app can be developed to cater to your business-specific objectives and requirements. Depending on the use case, multiple apps can be created for each of them.

One app could be just for project management. You can assign tasks to your employees and collect their reports using it.

Another app could be for handling requests, payments, and finances.

The sky is the limit with what you can get done with the right mobile app development team.

Here are some features you can implement in a B2B app that can help your business grow.

The post Reasons Why You Must Develop a B2B App For Your Business appeared first on WDI Blog.

Mobile app development is the best way to solve modern life problems. There is no doubt that life is full of problems. With technological inventions, more and more of these problems are easily solved. It is nothing but a marvel to witness how far mankind has come.

Technology has become like a bridge that connects problems with solutions.

Creating an app that solves problems is one of the best ways to ensure that people download your app. People will not think twice about downloading your app if it solves a problem they have been fed up with for a long time.

One of the biggest advantages a mobile app has over a website is that it can be used without a network connection.

Certain apps are made to be used without a network connection.

On the other hand, websites cannot be used without a network. The only offline use you can get out of them is when the webpage is pre-loaded.

In many countries, people do not have access to the best networks. Sometimes, your clients can go on a trek to some remote location.

In these cases, an offline app provides the best solution.

Imagine being able to inform your clients about your latest developments, discounts, offers, etc. the moment they happen. This is what a mobile app offers.

With push notifications, you can literally send any message you want to your users.

With a catchy notification, you can ensure that your users get back to your app and buy your products or services.

This is something that a website does not offer, giving apps the upper hand.

There are many more advantages to mobile app development than website development.

Solving a big and very troubling problem is the key to a successful mobile app. If there is a problem that no one is really bothered about and you solve it, people are most likely not going to download and use your app.

You must have a crystal clear idea of what you want to achieve with your app.

Find out if there is any problem that is worth solving. Find out if people will invest in your app to get that problem solved.

Once you get a positive answer, identify the type of problem you are solving.

Is it something that is causing a waste of money or costing more than it is worth?

Is it causing unnecessary time delays?

Or is it something as simple as killing boredom?

Define your problem as precisely as possible.

2: Analyze The Market

3: Analyze The Competiton

4: Start The Mobile App Development

Problem-solving mobile app development is the key to success in this digital era.

There is no lack of problems in today’s time, and mobile apps provide the most convenient solution, as all it takes is to pull out your phone from your pocket.

Considering the ease of accessibility mobile apps offer, it is the best option for a startup looking forward to providing solutions to real-world problems.

Once you have a clear idea of what you want to achieve with your app, analyze the preexisting solutions to the problem and find out what you can do better. Or, you can approach the problem from a different angle and come up with a totally unique solution.

Once you have got a defined app idea, let us take the process of mobile app development into our own hands and serve you with the app of your dreams.

The post How to Create Apps That Solve Problems | Mobile App Development appeared first on WDI Blog.

The post Native Apps vs Hybrid Apps : Choose The Right One For Your Android/ iPhone App Development appeared first on WDI Blog.

iOS Application

Compared to other operating systems, iPhone app development has always been concerned with the design philosophy. With the release of iOS 7, Apple has finally changed over from age-old designing techniques to brand new minimalistic and flat designing approach. iOS app development created great apps which were appealing despite being flat. When the online world was opting for flat designs, Apple too switched to it. After all the upgrades, his was an important designing update for OS. However, what remained the same was the simplistic design.

Android Application

Google has adopted the philosophy of material design which has made it a winner in the field it was losing so far along- user interface. The Material Designing part has raised the bar for user interface designing and has taken it to a new level altogether. The UI is peppered with great details, design, and animations which look stunning visually. It was the largest update when it came to Android OS design. The Android OS looked like it was redesigned completely from scratch.

The philosophy of material design takes into account a neat look with power. With all the great features and unbound possibilities along with material design, the Google-powered OS has won the million hearts of tech-savvy users all over the world hands down. This is the first time that Android app development feels more personal and usable than iOS. It is simplistic in usage and is very attractive. As a matter of fact, the philosophy of new design has been lauded so much so that Whatsapp too has designed its web application based on material design.

Overall these years, what is noticeable is that an elegant and simple design is always preferred. Apple has used it over the years and it has worked in their favor. Google too has adopted a similar kind of design which makes Android a sweet experience. Not only are the software features and hardware on the handset essential for making it useful, but the user interface is also important. Google has already been applauded for its style and it is not up to Apple to show new tricks. Most people now prefer using Android since the company fixed its clutter-free OS. The features, coupled with the OS, make Android phones a delight to be used.

For more information about  Android and iOS  apps development contact Website Development India or call on +91 22 61274401

The post iOS vs Android : Evolution of Design appeared first on WDI Blog.

There are recent reports of Android upgrades being steadily killed off by Apple’s pioneering iOS. The constant tug of war between Android & iOS apps looks set to continue and may well reach an exciting climax! Android and iOS continue to fight it out for total domination of the mobile OS arena and this is heating up, what with the ever-increasing count of global smartphone users. Billions of individuals use smartphones and as a result, the sudden perishing of Android upgrades at the hands of iOS comes as a surprise to many!

According to experts, almost 90% of all Apple mobile devices are making use of the very latest version of iOS 7 with adoption and upgradation rates hovering around 21% in the very first three days of the release itself. In addition, only a paltry 3% of Apple smartphones are estimated to be running on obsolete or older operating systems. In comparison, a tiny 8% of Android devices are making use of the updated Kit Kat 4.4 or higher updates from Google. In addition, Android users are still awaiting the latest Jelly Bean updates from Google.

As a result, adoption rates are significantly higher for iOS 7 and above. This makes Apple the go-to option for customers. The conglomerate is successfully making hundreds of users upgrade to new devices with the latest iOS versions and other updates. Alongside, this trend is set to continue for multiple tangible reasons. iOS users are seen to spend more on upgrades than Android counterparts. Start-ups and developers often find it really challenging to create apps for several platforms at once and Android development is really tough owing to several OS variants. Alongside, developers have been choosing iPad and iPhone as their preferred platforms and this has given a fillip to Apple when it comes to upgrades.

Google works via a comprehensively radical business model in comparison to Apple where multiple vendors sell it as a kind of industry standard. However, upgrade rates, if they continue to remain sluggish, can really hit developers hard. This will especially be frustrating for developers who want to develop fast, latest and cutting-edge apps on the Android platform. Android & iOS apps both have relevance in the present scenario but the steady erosion of upgrade options may well lead to significant future consequences for Google.

The App Store has sometimes been regarded as far superior to Google Play in terms of entertainment, sports, games and lifestyle categories. Apple has consistently ranked higher among tech experts with regard to almost all categories. This is another factor that is swinging the balance in Apple’s favour in recent times. The market shares of both Android and Apple are quite neck to neck in the United States of America and other countries. However, a thorough evaluation of both is essential with regard to getting the best value for your business. As of now, Android upgrades are being given a beating by iOS and it is definitely not music to the ears as far as Google is concerned.

Get your first suitable Mobile App with help of expert advice. Contact WDIdeas Now.

US: (+1) 970 556 9495            UK: 02036 514 195            India: +91 22 61274401

The post IOS is killing Android upgrades? appeared first on WDI Blog.