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mobile analytics

A Comprehensive Guide to Mobile Analytics

What is mobile analytics?

Mobile analytics refers to the approach that helps to capture the details of customers’ experience within a mobile app or website. It helps in collecting data on the user’s response to marketing campaigns and advertising. Also, it focuses on key metrics like time spent mobile app and events triggered. By leveraging mobile analytics solutions marketers can understand their users, perform better A/B tests, and gauge the impact of lifecycle campaigns. This can further help marketers in optimizing campaigns and make data-driven decisions. Mobile analytics services facilitate higher retention rates and improved conversions which come as a result of smart campaign decisions based on mobile analytics.

Are you wondering how to improve your users’ engagement on your mobile apps? Mobile analytics solutions can help. Get in touch with our experts now!

What are the different types of mobile analytics?

Mobile web analytics

Mobile web analytics focuses on mobile device users. Mobile web analytics generally focuses on mobile visitors to the regular site as well as visitors to a mobile version of your site. Mobile app analytics offers an overview of the types of devices people use along with the bounce rate and the number of new and returning visitors. Also, mobile web analytics provides finer details such as visitors’ behavior, referrals, advertising, social sharing, conversions and much more. Like traditional analytics techniques, this type of mobile analytics also gives information on the source of your visitors, their engagement level with your contents and the highly viewed content.

Mobile app analytics

Mobile app analytics is another type of mobile analytics that tracks the activity on mobile apps. The number of your mobile app downloads can gratify you but what happens after the download is what actually matters. Mobile app analytics can help you find out how usable is your app and whether any specific experience forced the users to uninstall it. This type of mobile analytics helps in customer acquisition, retention, referral and improving revenue significantly. Mobile analytics enables the company to track conversion funnels and engagement rate that can help to improve mobile applications even better.

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Why do companies use mobile analytics?

Today smartphones are becoming the most preferred portal for the digitally empowered customers. Customers spend most of their time on mobile devices which offers a better opportunity for companies to reach their customers. Mobile analytics offers a helping hand to companies in understanding and analyzing their customers. This answers the question-why do companies use mobile analytics? Companies use mobile analytics platforms to stay ahead of the curve and build mobile experiences that stand out. Mobile analytics tools aid companies to understand their campaigns’ performance and whether users end up purchasing.

With the data that mobile analytics solutions provide companies can effectively create positive feedback loops. Also, with the help of mobile analytics performance analytics, companies can A/B test the impact of any changes made in the mobile app upon their audience. Based on users’ responses, companies can make further changes to yield better insights and serve user’s needs effectively.

Our customized analytics dashboards help companies identify and profile their unique customers. Want to know how? Request a FREE demo right away.

What are the important metrics in mobile analytics?

#1. Active Users

This metric helps to segment customers based on their behaviour on the mobile app and devise a smart strategy in order to retain them in the application. Also, the metric of active users helps to understand the usability of the mobile application and further helps in personalizing the services to make users feel cared and special. Also, this brings brand loyalty.

#2. Application usage

Have you analyzed in which screen do you lose most of your users? For companies, it is very critical to understand and analyze the flow of navigation within the mobile application. It allows knowing why users abandon your app and in which screens. Also, companies can gain actionable insights into issues concerning churn and retention by analyzing the usage of mobile applications.

#3. Customer acquisition cost (CAC)

Mobile analytics help companies to know the costs involved in customer acquisition which further helps in calculating how much they can spend on campaigning. CAC can help companies determine their profitability from a particular application and optimize their returns on advertising investments.

5 Ways Business Analytics Tools Can Take Your Business to The Next Level

Business expansion plans can give many people nightmares. It takes dedication, unmatched foresight, and market understanding to take your business to the next level. Successful business leaders know all about their end customers and can identify their ideal customers easily. This isn’t just a parlor trick but involves understanding the data that drives and incites progressive action. It is in this context that the real importance of business analytics comes to the fore. It helps in data discovery and business decision making with the help of predictive models that are driven by real-time data. The insights gained from the use of business analytics tools can help the management to automate certain processes and gain a competitive advantage. Contact USSuch tools can also help the management to analyze outcomes through statistical analysis and quantitative analysis.

However, due to the rising instances of data thefts, the popularity of business analytics tools has taken a hit among the business leaders since it makes a company more susceptible to privacy invasion and financial exposure in a fast-moving market. To counter such problems, companies can define their objectives and use cases ahead of time, validate data models, and select a methodology that takes into account internal and external factors.  

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Rise of Sports Analytics: New Developments by Sports Analytics Companies and How Analytics in Sports is Changing the Way the Game is Played

Analytics in sports is a relatively new concept that gained rapid popularity after Michael Lewis released his book on “Moneyballin 2003. Sports analytics, today, has become a part and parcel of every athlete’s life and most professional sports team have a team of analytics experts grinding the numbers and uncovering insights to improve performance. Teams of today scan scouting reports from clipboards and send them across to data scientists, who crunch the numbers that scouts and managers use to shortlist players for their teams. This helps in creating a profile of players who are the best fit for the team. Sports analytics, or analytics in sports, is the future of professional sports as it helps teams to gain a competitive advantage.

The popularity of sports analytics h1as nothing to do with the technology but has more to do with the audience. Fans of today consume more analytical content than ever before and, as a result, there are numerous websites that are solely dedicated to analyzing and researching sports-related data or developments. To make the most of this trend, many sports analytics companies are now setting up domains that provide more value than just sports coverage. Such websites contain numbers and predictions that estimate the outcome of the upcoming matches. From the coaching staff to athletes, sports analytics has a big role to play when it comes to reshaping touchdowns, preventing injuries, and signing contracts. That being said, here’s Quantzig’s list of the top benefits of using analytics in sports.

Sports analytics benefits

Higher accuracy  

Today, many sports analytics companies have started implementing technologies that track the accuracy of pitches. Though this technology has some way to go before it is implemented on a full-scale, sports like cricket and football have already started implementing such technologies to have a better clarity on whether a ball has been pitched perfectly or whether a goal has been scored. Get More Info_QZ

Real-time data

For all the number crunchers out there, there’s a plethora of new websites available that contain the data of their favorite teams and players. The growing acceptance of sports analytics as a medium to gain insights has resulted in the availability of sites that offer a comprehensive break-down of data related to players and their teams. Sports analytics companies now track metrics such as the individual performance of a player or store data on umpire’s calls to help the audience gain more insights into a game’s outcome.Get More Info_QZ

Taking wearables to the next level

With the rising popularity of wearable technologies, many sports analytics companies have started entering the wearable technology market. The use of analytics in sports can help determine the performance of top players and estimate who needs a rest. Real-time statistics such as heart rate, speed, and acceleration also help coaches and fitness doctors to plan their training and rehabilitation accordingly.

The demand for sports analytics will continue to evolve, and with time, it will become an essential tool for coaches, players, and the audience alike. Though the use of analytics in sports can improve greatly, continuous innovations in areas of predicting the mental state of the players and on-field performance will make sports analytics one of the biggest developments of the modern era.  


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7 Analytics Tools That Every Manager Should Know About

In today’s business scenario companies have access to large volumes of data. Manually categorizing and deriving value from these variables could prove to be a strenuous task. Thanks to various data analytics tools available today, business managers can easily classify complex data and use them for efficient decision making. Data-driven companies consider their data as corporate assets and leverage it for getting a competitive advantage. Successful business analytics depends on a variety of factors such as the quality of data, skilled analysts who have good knowledge of the technologies and the business, and an organizational commitment to data-driven decision-making. But with a large number of analytics tools available today, managers might be put into a dilemma about which ones they should ideally be using for the desired resultsHere are some of the top analytics tools that are widely used by businesses today:Free demo

 Correlation analysis

Correlation analysis is a statistical technique that allows you to identify if there is a relationship between two separate variables and how strong that relationship may be. It is especially useful when you have conviction suspect that there is a relationship between two different variables and you would like to test your assumption.

Visual analytics

One of the simplest ways to analyze data is to create a visual or graph and look at it to spot patterns. It is an integrated approach that combines data analysis with data visualization and human interaction. Such analytics tools become extremely helpful in understanding information when the volume of data is huge.

Regression analysis

It is a statistical tool that is used for investigating the relationship between variables. For example, the relationship between price and product demand. If you believe that a variable is affecting another and you want to establish whether your hypothesis is correct or not, this is the go-to tool.

Sentiment analysis

Sentiment analysis is also known as opinion mining, is one of the most recent and popular analytics trends. It seeks to extract subjective opinion or sentiment from text, video or audio data. The basic idea of using this analysis is to determine the attitude of an individual or group concerning a particular topic or overall context. In short, this tool is to be used when you want to understand the stakeholder opinion.

Monte Carlo simulation

This is a mathematical problem-solving and risk-assessment tool that approximates the probability of specific outcomes, and the risk of certain outcomes, with the help of computerized simulations of random variables. understand the implications and consequences of a particular course of action or decision.

 Linear programming

This is a set of advanced analytics tools, also known as linear optimization. Linear programming involves identifying the best outcome based on a set of constraints using a linear mathematical model. It helps companies to solve problems involving minimizing and maximizing conditions, such as how to maximize profit while reducing costs. This tool is highly beneficial if a business has a number of constraints such as time, raw materials, etc. and they want to know the best combination of directing resources to maximize profit.

Neural network analysis

Neural network analysis is on the advanced analytics trends to watch out for. A neural network is a computer program modeled on the human brain, which can process large volumes of information and identify patterns in a similar way human beings do. This is a technique of analyzing the mathematical modeling that makes up a neural network. This tool is particularly useful for companies that possess large amounts of data.

To know more about the latest analytics tools and trends

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Quantzig’s Customer Analytics Helps a Renowned Media and Entertainment Client Analyze Their Customers’ Behavior Pattern

The client: Media and entertainment provider

Area of engagement: Customer analytics

Over the past few years, the media and entertainment industry has undergone a major digital revolution. Mergers and acquisitions have been the key factors for the growth of the media and entertainment industry, and the amalgamation of companies in this industry has led to the globalization of media conglomerates. The media and entertainment industry typically consist of radio, film, television, and print. These segments also include radio shows, TV shows, movies, news, newspapers, books, magazines, and music. Companies in the media and entertainment industry space have started increasing their focus on improving their process efficiency owing to the ever-increasing and relentless customer expectations and pricing pressures.

However, a few factors are expected to hamper the growth of the media and entertainment industry. These factors include:

  • Staying relevant in this digital landscape: To remain relevant in today’s competitive landscape, companies within the media and entertainment industry are increasing their focus on moving to a more of an audience-based approach. Additionally, the ability to deliver superior communications and offers are expected to influence the relationship between marketers and consumers in this space.
  • Diversification: Today, media and entertainment industry players are growing at a rapid pace and are expanding their reach to new markets. As a result, it becomes essential for the companies to develop new service lines to optimize their ROI and increase profitability.

These factors are compelling media and entertainment industry players to leverage the use of customer analytics solutions. Customer analytics helps companies identify the most profitable customer segments and tailor their marketing campaigns accordingly to meet consumer demands.QZ- Request free proposal

The Business Challenge

The client, a leading media and entertainment industry player, wanted to understand the customers’ buying frequencies and preferences and gain accurate predictions of their future buying behaviors. They also wanted to analyze the preference for specific offerings. With the help of a robust customer analytics engagement, the client also wanted to target customers with relevant offers and improve their brand affinity.


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Solution Benefits and the Business Impact

Strategies we recommended based on our analysis to improve loyalty and anticipate customer demands.

With the help of Quantzig’s customer analytics engagement, the media and entertainment firm increased their focus on finding the target prospects with similar attributes, so that they could tailor their marketing campaigns accordingly and enhance business performance. The customer analytics engagement also helped the client identify high-risk customers to minimize customer attrition. Furthermore, the media and entertainment client was also offered actionable insights into ways to build stronger customer relationships.

Customer Analytics Solution Predictive Insights

The customer analytics solution offered by Quantzig helped the media and entertainment firm increase customer lifetime value by delivering a positive customer experience. These solutions also help companies efficiently map their customer journey and enhance loyalty.

Want to know more about the benefits of customer analytics for the media and entertainment industry

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Recent posts


Business Analytics vs. Business Intelligence: What will Boost Your Business Growth?

Often business intelligence is confused with business analytics, the reason being that both are superficially similar and influence the data strategy adopted by companies. Let us first understand theFree demo fundamental difference between the two, to identify how each influence the growth of a company.

 Business Analytics and Business Intelligence – How are they different?

  • Business analytics is used to analyze historical data to predict the future business trends; whereas, business intelligence solutions help to collect and analyze the current, actionable data that can be used by businesses to get insights for improving their business operations
  • In business intelligence, the data is collected from some sources like questions, reporting, and online analytical processes. However, in business analytics, statistical and quantitative data are used for explanatory and predictive modeling
  • Business intelligence is a broader concept when compared to business analytics since it uses a wide range of tools and methodologies to help companies formulate an effective data strategy.

Making A Choice Between Business Intelligence and Business Analytics

Business intelligence and business analytics serve different purposes for a business. Therefore, it is essential for companies to carefully understand which data strategy best suits their business model and adopt the same accordingly. Let us discuss a few features of business intelligence and business analytics that companies can keep in mind while making a choice:

  • BI is evolvingOver the years business intelligence tools have evolved and become much more user-friendly. Earlier, companies had to depend on data scientists to use BI systems and build dashboards; however, today they are automated, which make the day-to-day use of business intelligence tools easier for companies.
  • Business Analytics and Social Platforms Social media platforms have gained exponential popularity over the years. This has forced most of the companies to mark their presence on different social media platforms. Business analytics helps companies to integrate social networking and decision-making capabilities to identify gaps in customer requirements and formulate the necessary strategies
  • Faster Pace of Business AnalyticsBusiness analytics can process data at a much faster This is highly essential considering the huge volume of data that are available for a company. Today there are various analytical tools that can be used across IT teams, which makes it easier for companies to carry out analytical tasks easily.
  • BI as a Gateway to Business AnalyticsBusiness intelligence uses basic calculations to derive strategies; whereas, business analytics utilizes various mathematical models to help formulate strategies. Though BI tools play a major role in an enterprise, their capabilities are limited when compared to analytics.

To know more about techniques to boost your businessGet more info

Social Media Analytics and Politics

The emergence of social media has changed the face of politics today and political strategy forever, especially in North America. Advanced analytics services and social media analytics can now be applied to social media posts to determine how constituents feel, and what politicians and political parties can do to win the loyalties of voters.

Social media has made political communication much easier and more widespread. Twitter and Facebook are the most commonly used social media platforms for political communication between politicians and the people they represent—or wish to represent. Posts from constituents on social media, especially those made in direct response to communications that a political party, organization, or a politician have made on a particular platform, can be analyzed and turned into data that can help predict outcomes. Political campaigns regularly make use of statistical and predictive advanced analytics services and models to determine how well a candidate can be expected to do with a particular demographic or in a certain region. Social media has also opened up a direct line of communication between politicians and their constituents, and has provided the public with a more convenient way to voice their concerns than making phone calls or attending town halls. It’s also helping users to become more politically active and informed, giving them new channels through which to organize and connect with politically like-minded people.

Social media analytics is increasingly being used to monitor, inform, and create or increase political influence. It’s helping to identify what groups to reach out to, how to best to communicate with the public, and increase overall engagement: politicians can organize events based on what target groups are interested in and can customize outreach to certain demographics based on the insights they receive from sentiment analysis tools and social media analysis. The 2016 US election and its aftermath so far have shown just how powerful social media and analytics can be, with winning candidate Donald Trump staunchly refusing to give up his personal Twitter account and using it as his main method of communication with his supporters and the American people. Barack Obama’s initial election and re-election campaigns heavily utilized social media and social media analytics to engage and mobilize voters, especially first-time voters and young voters. Additionally, social media analytics can be utilized to identify influential people and to know who to target campaign and support efforts at. For example, analyzing a celebrity’s posts, followers, and social media activity can help to determine whether or not their involvement will be beneficial or detrimental to a campaign.

Social media is continuously growing and evolving, with billions of new posts created worldwide every day. This means there is a huge wealth of data out there for political institutions and individuals to analyze and generate valuable insights from—insights that could potentially make or break a political campaign. As more politicians—and world leaders—embrace social media platforms like Twitter to communicate with their constituents and supporters, social media analysis for politics will evolve too and will become even more of an important practice to embrace.

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