It’s today’s world. Web and mobile apps are extensively used globally and people want an easy use of the app. If any app fails, it affects the business or organization that uses it. The best solution is to enhance the app performance by using an app analytics tool. The data generated from the analytics report is very beneficial for the users as well as business owners.
Here are the best analytics apps out there!
Adobe Analytics
“Know why they come to your apps. Know why they stay. And know how to keep them.”
Platform: iOS / Android
Price: Paid
What it does: Adobe Analytics gives you the tools you need to understand your users.
This app analytics tool is priced for enterprise clients only. Adobe Analytics provides you with real-time analytics and detailed segmentation.
Features:
- Flow exploration.
- Fallout analysis.
- Custom histograms.
- Cohort analysis.
- Contribution analysis.
Facebook Analytics
“Product analytics for driving growth.”
Platform: iOS / Android / Web
Price: Free
What it does: Facebook Analytics allows you to see how users are engaging with your product across all devices and platforms. You can view user behavior data and compare it with Facebook’s customer data.
Features:
- Retention.
- Funnels.
- Demographics.
- Segments.
Localytics
“Your results matter.”
Platforms: iOS / Android
Price: Free / Paid
What it does: Localytics, which was acquired by Upland, is a marketing solution for mobile apps. It offers a robust push notification capability.
Apart from that, it’s a great tool to track retention metrics & attribution models across your apps.
Features:
- Sessions and events.
- Retention.
- Attribution.
- Uninstall tracking.
- LTV.
- Mobile CRM.
- Cloud support.
Interceptd
“Interceptd keeps fraudulent installs out, and lets valuable users in.”
Platforms: iOS / Android
Price: Two- to four-week free trial / Price upon request
What it does: Interceptd is an ad fraud solution that keeps out fraudulent installs and optimizes your clean traffic.
While protecting companies from an average of over 30% fraudulent mobile ad traffic is a big feat, eliminating ad fraud also has data and analytics implications that cannot be ignored. You get access to clean data by eliminating the fake installs, the fraudulent clicks, and the simulated in-app purchases and registrations.
Features:
- Block fraudulent clicks, installs and in-app actions.
- Optimize your clean traffic.
- Get access to accurate and clean data.
- In-app event tracking and analytics, including graphs and flowcharts.
- Track fraud and your KPIs via customizable reports.
- Stay on top of metrics such as effective ROAs, customizable cohorts and revenue events.
Intercom
Does your organization have a web app for iOS or Android? Intercom offers a set of robust tracking and analytical tools that will enable you to get a better understanding of who’s using your web app.
With just a couple of lines of Javascript code, you can be tracking and interacting with your web app users in a matter of minutes.
In addition to providing analytic stats, Intercom allows you to onboard new clients, announce new features, and ultimately improve the customer experience.
Intercom has a 14-day free trial. Pricing starts at $136/month with an enterprise-level package available.
Domo
The different departments of any given organization often find themselves (and the data they create) siloed. It’s usually up to the IT department to run comprehensive database reports that can offer actionable business intelligence from site analytics.
Domo connects databases, systems, and people so that all departments are seeing the same analytics data. This not only simplifies the lives of department heads but gives the leadership team a proverbial 90K foot view of any department with a few clicks of the mouse.
R
R is now one of the most popular analytics tools in the industry. It has surpassed SAS in usage and is now the Data analytics tool of choice, even for companies that can easily afford SAS. Over the years, R has become a lot more robust. It handles large data sets much better than it used to, say even a decade earlier. It has also become a lot more versatile.
1800 new packages were introduced in R between April 2015 and April 2016. The total number of R packages is now over 8000. There are some concerns about the sheer number of packages, but this has certainly added a lot to R’s capabilities. R also integrates very well with many Big Data platforms, which have contributed to its success.
Python
Python has been one of the favorite languages of programmers since its inception. The main reason for its fame is the fact that it’s an easy-to-learn language that is also quite fast. However, it developed into one of the powerful Data analytics tools with the development of analytical and statistical libraries like NumPy, SciPy etc. Today, it offers comprehensive coverage of statistical and mathematical functions.
Increasingly, we are seeing programmers and other tech folks moving into analytics. Most of these guys are already familiar with Python, and therefore, it has become a Data analytics tool of choice for many data scientists.
Apache Spark
Spark is another open-source processing engine that is built with a focus on analytics, especially on unstructured data or huge volumes of data. Spark has become one of the tremendously popular Data analytics tools in the last couple of years. This is because of various reasons – easy integration with the Hadoop ecosystem being one of them. Spark has its own machine learning library, which makes it ideal for analytics as well.
Apache Storm
Storm is the Big Data tool of choice for moving data or when the data comes in as a continuous stream. Spark works on static data. Storm is ideal for real-time analytics or stream processing.
Mixpanel
“Product analytics for product people.”
Platform: iOS / Android / Web
Price: Free / Paid (starts at $25/month for 1K users)
What it does: Mixpanel tracks user interactions and allows you to build custom reports.
This app analytics tool lets you evaluate user actions by segmenting them and by creating funnels.
Additionally, Mixpanel shows you information about data points such as location, device, channels, and more. Mixpanel can also be used for targeted communication via push notifications.
Features:
- A/B testing.
- Push notifications.
- Funnels.
- Engagement tracking.
- Mobile and web.
Flurry
“Flurry grows with you.”
Platform: iOS / Android
Price: Free
What it does: Flurry is Yahoo’s answer to the increasing demand in the app analytics market. It allows you to monitor user behavior across all platforms at no cost.
It should be noted that Flurry is free because they may share your data — anonymously — with third parties.
Features:
- Free app analytics.
- Events.
- Funnels.
- Segments.
- Cohorts.
Amplitude
“Analytics for modern product teams.”
Platform: iOS / Android
Price: Free / Paid (starts at $2K/month)
Free up to 10 million user actions per month. If your app exceeds that, you must go for an annual contract that starts at $2K/month on the lowest plan.
What it does: Amplitude is a robust quantitative analytics tool. Its features and use cases are comparable to those of Mixpanel.
Features:
- Real-time app analytics.
- Retroactive funnels.
- User segmentation.
- Scalable analytics.
- Retention rate detection.
Countly
“360° web and mobile analytics.”
Platform: iOS / Android / Web
Price: Free / Paid
What it does: Countly provides an overall analytics picture for web and mobile. It offers a real-time, open-source mobile analytics application that can be hosted on your own servers.
Features:
- Open-source application.
- Extensible via plugins.
- On-premise or private cloud.
- Retention analysis.
- Funnel analysis.
Apple App Analytics
“For the ultimate iOS developer.”
Platform: iOS / tvOS
Price: Free
What it does: Apple App Analytics is included with the Apple Developer Program membership and doesn’t require any implementation.
Although with limited capabilities, it’s a decent mobile app analytics tool. It should be paired with another more advanced one.
Features:
- Usage data.
- Sales data.
- App Store data.
PIG and HIVE
Pig and Hive are integral Data analytics tools in the Hadoop ecosystem that reduce the complexity of writing MapReduce queries. Both these languages are like SQL (Hive more so than Pig). Most companies that work with Big Data and leverage the Hadoop platform use Pig and/or Hive.
SAS
SAS continues to be one of the widely used Data analytics tools in the industry. Some flexibility on pricing from the SAS Institute has helped its cause. SAS continues to be a robust, versatile and easy to learn tool. SAS has added tons of new modules. Some of the specialized modules that have been added in the recent past are – SAS analytics for IoT, SAS Anti-money Laundering, and SAS Analytics Pro for Midsize Business.
Tableau
Tableau is among the most easy-to-learn Data analytics tools that perform an effective job of slicing and dicing your data and creating great visualizations and dashboards. Tableau can create better visualizations than Excel and can most definitely handle much more data than Excel can. If you want interactivity in your plots, then Tableau is surely the way to go.
Excel
Excel is, of course, the most widely used Data analytics software in the world. Whether you are an expert in R or Tableau, you will still use Excel for the grunt work. Non-analytics professionals will usually not have access to tools like SAS or R on their systems. But everyone has Excel. Excel becomes vital when the analytics team interfaces with the business steam.
QlikView
Qlikview and Tableau are essentially vying for the top spot amongst the data visualization giants. Qlikview is supposed to be slightly faster than Tableau and gives experienced users a bit more flexibility. Tableau has a more intuitive GUI and is easier to learn.
Splunk
Splunk is more popular than some of the more known Data analytics tools like Cloudera and Hortonworks. It started as a ‘Google for log files’, which means its primary use was to process machine log files data. It has now become much more than that. Splunk has great visualization options, and a web interface makes it easy to use.
Conclusion
Best Analytics App was founded in 2014 with the mission of providing top-notch mobile statistics dashboard for monitoring your Android apps. It provides invaluable insight into app behavior your Android users. The dashboard offers customized reports on conversion rates, retention, churn, revenue & more to help you easily track all key KPIs. One of the best features is that Best Analytics App integrates with Google Mobile Ads to provide detailed ads statistics.