# Best Mobile App Analytics Tools for Small Business - Page 3

*By [Adam Crivello](https://research.g2.com/insights/author/adam-crivello)*


Products classified in the overall Mobile App Analytics category are similar in many regards and help companies of all sizes solve their business problems. However, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small Business Mobile App Analytics to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Small Business Mobile App Analytics category.

In addition to qualifying for inclusion in the Mobile App Analytics Tools category, to qualify for inclusion in the Small Business Mobile App Analytics Tools category, a product must have at least 10 reviews left by a reviewer from a small business.





## Top Mobile App Analytics Tools at a Glance
| # | Product | Rating | Best For | What Users Say |
|---|---------|--------|----------|----------------|
| 1 | [Google Analytics](https://www.g2.com/products/google-analytics/reviews) | 4.5/5.0 (6,577 reviews) | Cross-platform user journey and conversion attribution | "[Google Analytics: The Backbone of Cross-Channel Client Reporting](https://www.g2.com/survey_responses/google-analytics-review-13100357)" |
| 2 | [Adjust](https://www.g2.com/products/adjust/reviews) | 4.7/5.0 (713 reviews) | Multi-channel attribution with fraud prevention for mobile UA | "[Adjust’s Fraud Prevention Suite: Real-Time Fraud Blocking That Saves Ad Spend](https://www.g2.com/survey_responses/adjust-review-12235390)" |
| 3 | [Amplitude Analytics](https://www.g2.com/products/amplitude-analytics/reviews) | 4.5/5.0 (2,879 reviews) | Event-based mobile product analytics with self-serve funnels | "[Funnels stop being reports and start becoming real decisions](https://www.g2.com/survey_responses/amplitude-analytics-review-13045288)" |
| 4 | [AppsFlyer](https://www.g2.com/products/appsflyer/reviews) | 4.5/5.0 (759 reviews) | Mobile attribution with fraud detection and SKAN | "[Powerful Attribution and In-Depth Analytics for Advanced Measurement](https://www.g2.com/survey_responses/appsflyer-review-12953940)" |
| 5 | [Glassbox](https://www.g2.com/products/glassbox/reviews) | 4.9/5.0 (788 reviews) | Session replay with tagless mobile event capture | "[Essential for Identifying User Friction Points](https://www.g2.com/survey_responses/glassbox-review-12699865)" |
| 6 | [Adobe Analytics](https://www.g2.com/products/adobe-analytics/reviews) | 4.2/5.0 (1,171 reviews) | Cross-platform app analytics with Adobe ecosystem integration | "[Powerful, Detailed Insights with Customizable Dashboards in Adobe Analytics](https://www.g2.com/survey_responses/adobe-analytics-review-12644645)" |
| 7 | [CleverTap](https://www.g2.com/products/clevertap/reviews) | 4.6/5.0 (642 reviews) | Behavioral analytics with lifecycle campaign automation | "[Multichannel Engagement & Powerful Journeys and Segmentation with Agentic AI](https://www.g2.com/survey_responses/clevertap-review-12504629)" |
| 8 | [Mixpanel](https://www.g2.com/products/mixpanel/reviews) | 4.5/5.0 (1,328 reviews) | Event-based product analytics with user-level funnels | "[Powerful and User-Friendly Analytics Platform for Product & User Insights](https://www.g2.com/survey_responses/mixpanel-review-12941704)" |
| 9 | [AppMetrica](https://www.g2.com/products/appmetrica/reviews) | 4.5/5.0 (45 reviews) | Free mobile attribution with product analytics | "[Powerful and User-Friendly Mobile Analytics Tool](https://www.g2.com/survey_responses/appmetrica-review-11579285)" |
| 10 | [Singular](https://www.g2.com/products/singular/reviews) | 4.5/5.0 (501 reviews) | Multi-channel attribution with cost aggregation | "[There are some ups and downs, but the support is mostly timely and professional](https://www.g2.com/survey_responses/singular-review-5211366)" |

---
## What Are the Most Common Questions About Mobile App Analytics Tools?
*AI-generated · Last updated: May 26, 2026*
### What is the top mobile app analytics solution for gaming apps?
Based on G2 reviews, buyers evaluating mobile app analytics tools for gaming apps most often describe platforms in terms of attribution, campaign visibility, revenue analysis, and support for scaling user acquisition. According to verified users, Adjust stands out for gaming-related use cases because reviewers repeatedly mention tracking installs across multiple ad networks, comparing channel quality, analyzing ROAS and LTV, and managing iOS measurement challenges. G2 reviewers mention that game and app teams use it to centralize attribution data, reduce guesswork across channels, and make faster budget decisions. Reviewers also note some complexity around setup, dashboard navigation, and pricing, so it appears best suited for teams that need deeper measurement and optimization workflows.

- [Adjust](https://www.g2.com/products/adjust/reviews/adjust-review-12833525) – used by growth teams and game marketers for iOS measurement, fraud prevention, and campaign optimization across ad sources
- [AppMagic](https://www.g2.com/products/appmagic/reviews/appmagic-review-12482353) – helps gaming teams research market trends, benchmark competitors, and evaluate new game ideas
- [Amplitude Analytics](https://www.g2.com/products/amplitude-analytics/reviews/amplitude-analytics-review-12850866) – supports product usage analysis, drop-off analysis, and feature adoption insights for app teams


### What is the best analytics platform for improving app engagement?
Based on G2 reviews, the best analytics platforms for improving app engagement are typically the ones that help teams understand feature adoption, drop-off points, funnels, and user journeys clearly enough to act quickly. According to verified users, Amplitude Analytics is frequently described as strong for this use case because reviewers mention clear funnel analysis, feature adoption tracking, cohort creation, retention analysis, and easy-to-use dashboards for product teams. G2 reviewers mention using it to identify where users get stuck, prioritize product improvements, and make faster decisions based on actual behavior instead of assumptions. Reviewers also note a learning curve and some complexity with advanced setup, but the platform is often praised for helping teams improve engagement with data-driven product changes.

**Here are some of the top-rated products on G2:**

- [Amplitude Analytics](https://www.g2.com/products/amplitude-analytics/reviews/amplitude-analytics-review-12850866) – used for funnel analysis, feature adoption tracking, and identifying drop-offs that affect engagement
- [Mixpanel](https://www.g2.com/products/mixpanel/reviews/mixpanel-review-11231385) – helps teams understand user journeys, retention, and conversion behavior with event-based analytics
- [CleverTap](https://www.g2.com/products/clevertap/reviews/clevertap-review-12492922) – combines behavioral analytics with real-time engagement and lifecycle messaging for retention-focused teams


### Which vendor provides real-time mobile app performance metrics?
Based on G2 reviews, several vendors in the mobile app analytics category are praised for real-time visibility, but Adjust is consistently described as offering real-time analytics for campaign and attribution monitoring. According to verified users, reviewers value its ability to monitor campaign performance across channels, understand where users come from, and use timely data to optimize acquisition decisions. G2 reviewers mention real-time visibility in attribution, fraud detection, event tracking, and unified dashboard reporting as key strengths. They also note that some advanced setup and reporting customization can take time, especially for new users. For teams prioritizing fast access to mobile performance metrics tied to acquisition and attribution, recent reviews most often point to Adjust.


### What tool integrates mobile analytics with marketing platforms?
Based on G2 reviews, tools that integrate mobile analytics with marketing platforms are often valued for connecting campaign data, attribution, and performance across multiple channels. According to verified users, AppsFlyer is frequently described as strong in this area because reviewers mention easy integration with multiple ad platforms, CRM tools, and partner ecosystems while centralizing attribution and campaign reporting in one place. G2 reviewers mention using it to connect installs and in-app activity back to marketing channels, improve campaign monitoring, and make better spend decisions. Reviewers also call out a learning curve for some advanced reporting and partner setup, but they consistently describe integrations as a major strength for mobile marketing and attribution workflows.


### Which vendor supports cross-platform app analytics?
Based on G2 reviews, cross-platform app analytics usually means being able to analyze user behavior and performance across web, app, and multiple marketing sources without relying on separate systems. According to verified users, Google Analytics is often described as helpful for this because reviewers mention tracking both website and app traffic, analyzing user journeys across web and app in one platform, and understanding traffic sources, behavior, and conversions from a centralized view. G2 reviewers mention that teams use it for app and website reporting, campaign analysis, and audience behavior insights. Reviewers also frequently note that setup and reporting can be complex, especially in GA4, but it remains a commonly cited option for teams needing cross-platform visibility.


### What tool provides AI-driven insights for app retention?
Based on G2 reviews, buyers looking for AI-driven insights for app retention tend to value platforms that can highlight drop-offs, identify behavior patterns, and help teams act on churn or engagement risks. According to verified users, Amplitude Analytics is frequently associated with AI-assisted analysis and retention-focused workflows. G2 reviewers mention AI-powered insights, conversational analytics, easier chart creation, and retention analysis that helps product teams understand what keeps users engaged or where they leave. Reviewers also describe using the platform to connect feature adoption, funnels, and cohorts with product decisions. While some users say advanced features still require learning, the reviews suggest Amplitude is one of the stronger options for combining retention analysis with AI-assisted insight generation.


### Which mobile app analytics tool offers the most accurate user behavior tracking?
Based on G2 reviews, accurate user behavior tracking is most often tied to platforms that give teams event-level visibility, user journeys, funnels, and clear diagnostics around where people drop off. According to verified users, Amplitude Analytics is commonly praised for detailed event tracking, user behavior analysis, timeline views, and product usage insights that help teams understand how people actually move through an app. G2 reviewers mention using it to investigate issues, measure feature adoption, analyze funnels, and make product decisions with more confidence. Reviewers also note that setup and advanced reporting can require some upfront structure, but they repeatedly describe the platform as strong for precise behavior analysis across app experiences.


### Which platform offers the most advanced cohort analysis features?
Based on G2 reviews, advanced cohort analysis is usually associated with platforms that let teams segment users deeply, compare behaviors over time, and apply cohorts across funnels, retention, and experimentation workflows. According to verified users, Amplitude Analytics is frequently highlighted for this use case. G2 reviewers mention dynamic cohorts, segmentation by behavior and user groups, retention analysis, experimentation support, and the ability to apply cohorts across multiple analyses without relying heavily on SQL. Reviewers say this helps product, growth, and analytics teams identify what behaviors drive activation and retention, compare new versus existing users, and make more targeted decisions. Some users mention a learning curve, but cohort analysis is one of the platform capabilities most consistently praised in the review set.


### What is the most affordable mobile app analytics solution?
Based on G2 reviews, affordability in mobile app analytics tools is most often described in terms of getting useful tracking, dashboards, and behavioral insights without a heavy upfront investment. According to verified users, Google Analytics is commonly described as a cost-accessible option because reviewers repeatedly mention that it is free or easy to start with while still supporting website and app traffic analysis, campaign tracking, dashboards, and user behavior reporting. G2 reviewers mention that it helps teams understand traffic sources, conversions, and app or web interactions without needing a large budget. Reviewers also note that complexity in GA4 can slow adoption, but it is still frequently characterized as a practical low-cost starting point.

**Here are some of the top-rated products on G2:**

- [Google Analytics](https://www.g2.com/products/google-analytics/reviews/google-analytics-review-12649536) – widely used for website and app tracking with dashboards, traffic insights, and accessible entry cost
- [Mixpanel](https://www.g2.com/products/mixpanel/reviews/mixpanel-review-12852280) – reviewers highlight affordable pricing compared with some competitors and useful event-based analytics features
- [Adjust](https://www.g2.com/products/adjust/reviews/adjust-review-12833525) – some startup-focused reviewers describe pricing as workable for growth reporting and attribution needs


### Which analytics platform is best for in-app purchase tracking?
Based on G2 reviews, the best analytics platforms for in-app purchase tracking are usually the ones that connect subscription or revenue events directly to campaigns, user behavior, and monetization decisions. According to verified users, Adapty.io is strongly aligned with this use case because reviewers mention managing in-app purchases, subscription analytics, paywall testing, refunds, cohort analysis, and monetization workflows without building everything internally. G2 reviewers mention using it to track subscription performance, understand revenue behavior, and experiment with paywalls and offers more quickly. Reviewers also note some limitations around premium-only features and advanced customization, but the overall review pattern suggests it is a strong option for teams focused specifically on in-app purchase and subscription tracking.

**Here are some of the top-rated products on G2:**

- [Adapty.io](https://www.g2.com/products/adapty-io/reviews/adapty-io-review-12540345) – built for subscription tracking, cohort analysis, refunds, and paywall optimization in mobile apps
- [Amplitude Analytics](https://www.g2.com/products/amplitude-analytics/reviews/amplitude-analytics-review-12381768) – used to analyze product behavior and track app sales and financial trends alongside user activity
- [Adjust](https://www.g2.com/products/adjust/reviews/adjust-review-12592313) – helps teams track revenue from in-app purchases and analyze metrics tied to campaign scaling decisions




## G2 Grid® for Mobile App Analytics Tools
![G2 Grid® for Mobile App Analytics Tools plotting products by satisfaction and market presence](https://www.g2.com/categories/mobile-app-analytics/grids.png?focus%5B%5D=356&focus%5B%5D=19095&focus%5B%5D=18196&focus%5B%5D=19735&focus%5B%5D=1636&focus%5B%5D=3558&focus%5B%5D=145164&focus%5B%5D=70670)
Highlighted products: Google Analytics, Adjust, AppsFlyer, Amplitude Analytics, Mixpanel, Adobe Analytics, PostHog, and AppMetrica.
Underlying data: [Grid® JSON](https://www.g2.com/categories/mobile-app-analytics/grids.json?focus%5B%5D=google-analytics&focus%5B%5D=adjust&focus%5B%5D=appsflyer&focus%5B%5D=amplitude-analytics&focus%5B%5D=mixpanel&focus%5B%5D=adobe-analytics&focus%5B%5D=posthog&focus%5B%5D=appmetrica&segment=small-business)


## How Many Mobile App Analytics Tools Products Does G2 Track?
**Total Products under this Category:** 95

### Category Stats (Jul 2026)
- **Average Rating**: 4.5/5 (↓0.01 vs Jun 2026) The average rating of products in this category, based on all submitted ratings
- **Top Trending Product**: WalkMe (+0.07%) - Among all products in this category, WalkMe recorded the largest rating increase compared to last month
*Last updated: July 15, 2026*


## How Does G2 Rank Mobile App Analytics Tools Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 29,300+ Authentic Reviews
- 95+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.



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---


## What Is Mobile App Analytics Tools?

[Mobile Analytics Software](https://www.g2.com/categories/mobile-analytics)

## What Software Categories Are Similar to Mobile App Analytics Tools?

- [Digital Analytics Software](https://www.g2.com/categories/digital-analytics)
- [Mobile App Optimization Software](https://www.g2.com/categories/mobile-app-optimization)
- [Product Analytics Software](https://www.g2.com/categories/product-analytics)


---

## How Do You Choose the Right Mobile App Analytics Tools?

### What You Should Know About Mobile App Analytics Tools

### What is Mobile App Analytics Software?

The increased presence and influence of mobile devices has driven the necessity for mobile applications—and by extension, mobile app analytics software. Whether designed for e-commerce, gaming, finance, productivity, loyalty programs, or otherwise, there seems to be an application for almost anything one can imagine. Because of this lasting trend towards mobility, businesses are pushing hard to get their service or product out onto the mobile landscape.

There is a need to understand how users interact with the applications one has built for their business. An app is only valuable if people are actually using it with any sense of regularity, and the ability to interact with the app easily or conveniently can play a huge role in whether the app succeeds. Mobile app analytics solutions allow companies to examine how users interact with their apps, providing all kinds of data including the type of device users are accessing from, how long they spend on pages in the app, how frequently a user opens the app, and more. The result is a data-driven picture of an app’s performance and how it fits into the marketplace.

Using mobile app analytics software gives companies [real-time data](https://www.g2.com/categories/mobile-app-analytics/f/real-time-analysis) that informs continued product development. Depending on the tool used, teams can gain insight into unforeseen issues with new software updates, track usage patterns by demographics such as age and location, and more. Leveraging this data, development teams can constantly maintain and update their app’s interface to encourage the most desirable user journeys through their apps. If sudden, irregular patterns emerge, such as a sharp decline in traffic that might indicate downtime, mobile app analytics software can automatically alert teams via notifications to ensure a rapid response.

Overall, mobile app analytics software gives teams an invaluable set of monitoring tools, data-gathering functions, and dashboards which allows them to manage their released applications in a way that reflects and responds to real user experiences. 

### What are the Common Features of Mobile App Analytics Software?

The following are some core features within mobile app analytics software:

**OS-based tracking:** Mobile app analytics tools need to be able to evaluate app performance based on the mobile operating system (OS) the app is running on. iOS and Android are the biggest players in mobile OS, but they are not the only platforms that mobile apps can run on. Some mobile app analytics solutions will also track the device type running an OS, accounting for other niche or proprietary systems and the respective OS version, for trending and further data analysis.

**Session analytics:** The most basic mobile app analytics tool feature, session analytics, informs teams on the basics of how a user’s time is spent in an app. How long the app was used, wherein the app users went, and the kinds of activities they performed with the app are all valuable pieces of information that every company will want to know about their user audience.

**Regional analytics:** Understanding where, geographically, users are accessing an application can give companies unique insights into their user base. This type of data can enable more effective targeted advertising, and it can generate particularly interesting insights and trends when combined with other usage data like carrier, device, and time spent using the app.

**Date filtering:** Understanding usage data in the context of timeframes can lead to beneficial insights for one’s business. Aside from the more obvious analysis of app intelligence—for example, understanding how bug fixes affect rates of usership—businesses can garner more subtle insights, such as how usership changes after implementing subtle user interface updates or backend performance overhauls.

**Audience analytics:** Is the application free, or does it require a one-time purchase? Does the application have paid features? Understanding how free and paid audience members interact with an app can give teams better insight into how the price of their application affects the way users interact with the app in their day to day.

**Market trends:** It is as important to understand how a company’s apps compare to other apps on the market as it is to understand the users’ in-app activity. For an application to compete, the business needs to understand exactly what it is competing against. Mobile app analytics tools should provide market intelligence so that a business can always understand how its apps are performing in context with the market as a whole.

**Reporting:** As with any analytics tool, reporting is a powerful way of consolidating key information into an easily digestible format. Mobile app analytics tools should be able to turn out reports regarding any data factor it tracks, allowing companies to get summaries of any possible data they might find to be important.

**Data visualization:** This works similarly to the reporting functionality of other analytics tools. Data visualization—the process of turning raw data into charts, graphs, and other forms of visual representations—is a perfect at-a-glance representation of an app’s users, functions, and success. Data visualizations can be highly valuable for revealing trends in data that might otherwise be lost under the sheer volume that is captured by a mobile app analytics tool.

**Code performance analysis:** Occurrences that negatively affect the user experience might originate from the application’s code. Some mobile app analytics tools will track performance down to the code level, which can reveal any code segments that are performing suboptimally.

**Network filtering:** Understanding users’ networks can help lead to a better overall user experience. WiFi and carrier networks each have their connection strengths and consistencies, and some mobile app analytics tools will allow the filtering of performance data based on the method of network connection or other distinguishing network-adjacent traits like carrier name or region.

Other Features of Mobile App Analytics Tools: [Heat maps](https://www.g2.com/categories/mobile-app-analytics/f/heat-maps), [Session replay](https://www.g2.com/categories/mobile-app-analytics/f/session-replay)

### What are the Benefits of Mobile App Analytics Software?

**Usage insights:** What pages get the most traffic? What about the least? How often do users buy after putting an item in the app’s cart? What page do users bounce (leave the app) from the most? How much time do users spend in the app? These questions and more can all be answered with mobile app analytics solutions. Mobile app analytics tools focus on allowing businesses to leverage usage data into data-driven insights, helping them make better decisions about the app’s future direction and build.

**Carrier and device insights:** The impact that certain carriers, devices, and operating systems can have on an app’s functionality and overall success tends to be overlooked. Mobile app analytics tools can offer insights into these factors. Such insights can help expose potential incompatibilities an app might have with the targeted user demographic. Armed with that information, developers can update the app to better fit its users’ preferences.

**Performance insights:** While mobile app analytics software might not provide log outputs comparable to those of software testing tools, companies can discern other functional issues from their data. Notice a page or feature is rarely used? Maybe a disproportionate number of app closures after the loading of a specific app page? These might be indicators that something is not functioning properly on those pages and can inform developers to reexamine that build.

### Who Uses Mobile App Analytics Software?

Mobile app analytics tools can provide significant, valuable insights for a business. While different teams might find value in different elements of this software, the following list rounds up the most common team members who would most regularly interact with mobile app analytics tools.

**Product managers:** These users find value in mobile app analytics tools’ application quality of life (QoL) tracking. Changes in application QoL affect application usage and performance. The high-level insights drawn from mobile app analytics tools can help create a more well-informed product direction and improve the overall quality of an application.

**Data analysts:** Data analysts should find significant value in mobile app analytics tools. The volume of data at their disposal allows data analysts to craft in-depth insights around numerous aspects of an application’s performance. Additionally, the in-software visualization and filtering features can help clarify the mass of data points that mobile app analytics generate.

**Application developers:** Using mobile app analytics tools, application developers can specifically target application workflows for optimization or upkeep based on data. In-depth analytics around user interactions, region and network data, and code performance can be extremely valuable toward improving an application’s build and client-side operation.

**Marketing teams:** Marketing teams can take the information collected by mobile app analytics tools and turn them into more effective targeted marketing campaigns. While some of the more technical in-app performance data might not be as useful to these teams, marketers can lean on invaluable resources like demographic, regional, and carrier data as they move toward a more well-informed marketing campaign.

#### Software Related to Mobile App Analytics Software

Related solutions that can be used together with Mobile App Analytics Software include:

[Digital analytics software](https://www.g2.com/categories/digital-analytics) **:** Digital analytics software performs many of the same functions that mobile app analytics solutions do but specifically focused on website traffic and web page activity. Combining these two software resources can give businesses a more complete look at how customers interact with their digital offerings.

[Mobile app optimization software](https://www.g2.com/categories/mobile-app-optimization) **:** Focusing more on user interaction with an application rather than user habits, mobile app optimization software helps companies better solicit the most advantageous user interactions with an application. Mobile app optimization tools focus on the most and least used aspects of an app, explore trends in app usage, and help turn that data into actionable insights.

### Challenges with Mobile App Analytics Software

Software solutions can come with their own set of challenges. 

**Overtracking:** Overtracking can be a real issue for businesses. Because mobile app analytics solutions offer the ability to track so many aspects of an app’s existence, it is incredibly tempting to try to track all of it. Companies need to be sure to track and analyze what is important for their app’s success, and this may differ from company to company. For example, mobile video game app companies will want to track different data points than a retailer might for their store’s mobile app. If a business cannot fight the temptation to track every little aspect, it is really easy to get lost in the data and, in turn, the data will end up polluting its analysis with nonfactors.

**Device attribution:** Mobile devices, as a hardware archetype, are composed of a massive collection of device manufacturers, data carriers, and operating system variations. For a mobile app analytics solution to be truly effective, it has to be able to analyze application events in context with the hardware and software the application is run on. Failure to properly capture these details could mean missing out on version, hardware, or carrier-influenced problems, leading to increased time in troubleshooting issues.

**Data security:** As mentioned above, a hot topic with app analytics is the extent to which user data is tracked and secured. Because of how much data can be acquired about users with app analytics tools, data security and data privacy are genuine and valid concerns. When using a mobile app analytics tool, businesses should also be investing in data security solutions.

### How to Buy Mobile App Analytics Software

G2’s reviews from authentic software buyers can serve as a great anchor point for any company ready to start the search for a mobile app analytics solution. With that in mind, there are a few important criteria to consider when looking for the right tool.

**Features:** Different mobile app analytics software tools can have quite different feature sets. One solution might focus on highly detailed user journeys while another may be able to provide insight into the device models an app’s audience is using. The best fit solution will vary depending on the data that an organization finds most valuable. Authentic G2 reviews made by peers from similar companies can shed light on these factors. A prioritized list of the business’ most desired features enables the software selection team to move forward with a clear idea of what to look for.

**Security:** Collecting user data is a highly sensitive undertaking that requires constantly up-to-date security and compliance. When searching for a mobile app analytics solution, companies should ensure that the software they’d like to use has a verified history of compliance and high-security standards to protect user data. In some cases, separate data security solutions are preferred to help ensure security compliance and privacy.