Google analytics - 3 years evidence of impact tracking my website which contains a biography, catalogues, writings and video and photography work

A complete list of live websites using the Gravity Forms Google Analytics Event Tracking technology, compiled through global website indexing conducted by WebTechSurvey.

This data about nola.gov provides a window into how people are interacting with the the City of New Orleans online. The data comes from a unified Google Analytics account for New Orleans. We do not track individuals and we anonymize the IP addresses of all visitors.

The City uses Google Analytics to track data about use of the City's website.

The global market for visitor tracking software tools is experiencing robust growth, driven by the increasing need for businesses to understand online customer behavior and optimize their digital strategies. The market, estimated at $5 billion in 2025, is projected to maintain a healthy Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching an estimated market value of $12 billion by 2033. This growth is fueled by several key factors: the rising adoption of e-commerce, the increasing complexity of online marketing campaigns, the demand for personalized user experiences, and the growing availability of sophisticated analytics tools capable of providing actionable insights from website traffic data. Major trends shaping the market include the integration of AI and machine learning for predictive analytics, the increasing use of heatmaps and session recordings for detailed user behavior analysis, and a growing focus on privacy-compliant data collection methods. However, market growth faces certain restraints. Concerns around data privacy and compliance with regulations like GDPR are impacting adoption rates. Furthermore, the competitive landscape is crowded, with both established players like Google and specialized providers like Crazy Egg vying for market share. The market is segmented by solution type (e.g., website analytics, heatmap tools, session recording), deployment model (cloud-based, on-premise), enterprise size (small, medium, large), and industry vertical. Leading companies such as Crazy Egg, Mixpanel, and FullStory are constantly innovating to improve the accuracy and depth of their offerings, while smaller companies are focusing on niche functionalities to differentiate themselves. The future success of these tools depends heavily on continuing innovation in the areas of data security, user experience, and integration with other marketing platforms.

The googleanalyticsbasic extension for CKAN provides a simple way to integrate Google Analytics tracking into your CKAN-based data catalog. It injects the Google Analytics asynchronous tracking code into the page headers of your CKAN site, enabling basic page view tracking. This allows you to monitor site traffic and user behavior via the Google Analytics dashboard and therefore gain insights into how users interact with your data portal. This extension is compatible with CKAN versions 2.9 and 2.10. Key Features: Easy Google Analytics Integration: Simplifies the process of adding Google Analytics tracking to a CKAN site. You do not need to edit templates or write complex code, as the extension handles the injection of the tracking code. Asynchronous Tracking: Uses the asynchronous Google Analytics tracking code, which is designed to minimize any potential impact on page load times. Configuration via INI File: Enables the setting of Google Analytics tracking IDs via the CKAN configuration file (development.ini or similar). The extension uses a space-separated list of these google ids. Basic Page Tracking: Provides standard page view tracking functionality within Google Analytics. This is suited to monitoring how many hits each CKAN page receives and gives you an overview of site engagement. Compatibility: Supports CKAN versions 2.9 and 2.10. Use Cases: Usage Monitoring: Administrators can track essential metrics such as page views and user visits. Effectiveness Assessment: Evaluating the performance of data portals over time is improved with analytical insights. Informed Decisions: Providing data-driven basis for decisions, such as the prioritization of new features. Technical Integration: The googleanalyticsbasic extension integrates with CKAN by adding the required HTML to CKAN's pages using CKAN's plugin system. You need to activate the plugin in your CKAN configuration file and specify the Google Analytics tracking IDs you want to use. The extension then automatically inserts the tracking code into the appropriate sections of your CKAN pages. This is a simple process that requires no modification of the CKAN core code or installed template files. Benefits & Impact: By implementing the googleanalyticsbasic extension, CKAN site administrators can effortlessly monitor website traffic and user behaviour. This understanding can refine data portal content, improve site usability, and ultimately drive greater data accessibility and user engagement. This monitoring leads to better content development and resource prioritisation across the CKAN catalog.

The web tracking technologies market, valued at $1124 million in 2025, is projected to experience robust growth, driven by the increasing need for website performance monitoring, user behavior analysis, and security enhancements across diverse industries. A compound annual growth rate (CAGR) of 8.9% from 2025 to 2033 suggests a substantial market expansion, reaching approximately $2,200 million by 2033 (this projection is based on a consistent CAGR application to the 2025 market value and is not an assertion of precise future value). Key drivers include the rising adoption of cloud-based solutions, the growing importance of data analytics for business decision-making, and the escalating demand for improved customer experience. Trends like the increasing sophistication of tracking technologies, the integration of AI and machine learning for enhanced insights, and the growing focus on data privacy and compliance are shaping the market landscape. While challenges like data security concerns and regulatory compliance requirements pose restraints, the overall market trajectory remains positive, fueled by the ongoing digital transformation across various sectors. The competitive landscape is marked by a mix of established players and emerging innovative companies. Major players such as Google, Adobe, and others offer comprehensive web analytics and tracking solutions, while specialized firms like Uptime Robot and Pingdom cater to specific niche needs. The market's segmentation likely includes categories such as website analytics, performance monitoring, user experience tracking, and security monitoring tools. The geographic distribution will show varied adoption rates, with regions like North America and Europe expected to lead initially due to high technological adoption and a strong focus on data-driven decision-making, followed by gradual growth in other regions. Further market growth will depend on the continued development of innovative tracking technologies, successful navigation of regulatory hurdles, and the sustained demand for enhanced website performance and user experience.

Google dominated the web analytics industry in 2024, with ***** of its web analytics technologies maintaining the top three positions in the global market. Google Global Site Tag was first with a market share of over ** percent, followed by Google Analytics and Google Universal Analytics who had market shares of approximately ** and ** percent, respectively. When all ***** technologies were combined, Google maintained more than ** percent of the total market share.

This dataset contains trace data describing user interactions with the Inter-university Consortium for Political and Social Research website (ICPSR). We gathered site usage data from Google Analytics. We focused our analysis on user sessions, which are groups of interactions with resources (e.g., website pages) and events initiated by users. ICPSR tracks a subset of user interactions (i.e., other than page views) through event triggers. We analyzed sequences of interactions with resources, including the ICPSR data catalog, variable index, data citations collected in the ICPSR Bibliography of Data-related Literature, and topical information about project archives. As part of our analysis, we calculated the total number of unique sessions and page views in the study period. Data in our study period fell between September 1, 2012, and 2016. ICPSR's website was updated and relaunched in September 2012 with new search functionality, including a Social Science Variables Database (SSVD) tool. ICPSR then reorganized its website and changed its analytics collection procedures in 2016, marking this as the cutoff date for our analysis. Data are relevant for two reasons. First, updates to the ICPSR website during the study period focused only on front-end design rather than the website's search functionality. Second, the core features of the website over the period we examined (e.g., faceted and variable search, standardized metadata, the use of controlled vocabularies, and restricted data applications) are shared with other major data archives, making it likely that the trends in user behavior we report are generalizable.

The global web tracking technologies market is experiencing robust growth, driven by the increasing need for website performance monitoring, user behavior analysis, and security enhancement. The market size in 2025 is estimated at $25 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several key trends, including the rise of e-commerce and the increasing adoption of sophisticated analytics tools to optimize user experience and conversion rates. Businesses are investing heavily in web tracking to understand customer journeys, personalize content, and improve their online marketing strategies. Furthermore, the growing concerns around data privacy and security are driving demand for robust and compliant web tracking solutions. The market is segmented across various technologies, including website analytics platforms, heatmap tools, session recording software, and performance monitoring systems. Major players like Google, Adobe, and other specialized vendors are constantly innovating to cater to the evolving needs of businesses. This significant market expansion is further propelled by the increasing adoption of cloud-based solutions, offering scalability and cost-effectiveness. However, the market faces certain restraints, including the complexity of implementing and managing web tracking technologies, as well as concerns related to data security and compliance with evolving regulations like GDPR and CCPA. Despite these challenges, the long-term outlook remains positive, driven by the continuous growth of the digital economy and the increasing reliance on data-driven decision-making across industries. The forecast for 2033 projects a market value exceeding $75 billion, showcasing the immense potential of this dynamic sector. Competitive landscape includes a mix of large established players and innovative startups providing specialized solutions, fueling innovation and market diversification.

This dataset contains Google Analytics trace data describing user interactions with the Inter-university Consortium for Political and Social Research (ICPSR) website.

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Web Analytics Market Size 2025-2029

The web analytics market size is forecast to increase by USD 3.63 billion, at a CAGR of 15.4% between 2024 and 2029.

The market is experiencing significant growth, driven by the rising preference for online shopping and the increasing adoption of cloud-based solutions. The shift towards e-commerce is fueling the demand for advanced web analytics tools that enable businesses to gain insights into customer behavior and optimize their digital strategies. Furthermore, cloud deployment models offer flexibility, scalability, and cost savings, making them an attractive option for businesses of all sizes. However, the market also faces challenges associated with compliance to data privacy and regulations. With the increasing amount of data being generated and collected, ensuring data security and privacy is becoming a major concern for businesses.
Regulatory compliance, such as GDPR and CCPA, adds complexity to the implementation and management of web analytics solutions. Companies must navigate these challenges effectively to maintain customer trust and avoid potential legal issues. To capitalize on market opportunities and address these challenges, businesses should invest in robust web analytics solutions that prioritize data security and privacy while providing actionable insights to inform strategic decision-making and enhance customer experiences.

What will be the Size of the Web Analytics Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market continues to evolve, with dynamic market activities unfolding across various sectors. Entities such as reporting dashboards, schema markup, conversion optimization, session duration, organic traffic, attribution modeling, conversion rate optimization, call to action, content calendar, SEO audits, website performance optimization, link building, page load speed, user behavior tracking, and more, play integral roles in this ever-changing landscape. Data visualization tools like Google Analytics and Adobe Analytics provide valuable insights into user engagement metrics, helping businesses optimize their content strategy, website design, and technical SEO. Goal tracking and keyword research enable marketers to measure the return on investment of their efforts and refine their content marketing and social media marketing strategies.

Mobile optimization, form optimization, and landing page optimization are crucial aspects of website performance optimization, ensuring a seamless user experience across devices and improving customer acquisition cost. Search console and page speed insights offer valuable insights into website traffic analysis and help businesses address technical issues that may impact user behavior. Continuous optimization efforts, such as multivariate testing, data segmentation, and data filtering, allow businesses to fine-tune their customer journey mapping and cohort analysis. Search engine optimization, both on-page and off-page, remains a critical component of digital marketing, with backlink analysis and page authority playing key roles in improving domain authority and organic traffic.

The ongoing integration of user behavior tracking, click-through rate, and bounce rate into marketing strategies enables businesses to gain a deeper understanding of their audience and optimize their customer experience accordingly. As market dynamics continue to evolve, the integration of these tools and techniques into comprehensive digital marketing strategies will remain essential for businesses looking to stay competitive in the digital landscape.

How is this Web Analytics Industry segmented?

The web analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Deployment

  Cloud-based
  On-premises


Application

  Social media management
  Targeting and behavioral analysis
  Display advertising optimization
  Multichannel campaign analysis
  Online marketing


Component

  Solutions
  Services


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

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By Deployment Insights

The cloud-based segment is estimated to witness significant growth during the forecast period.

In today's digital landscape, web analytics plays a pivotal role in driving business growth and optimizing online performance. Cloud-based deployment of web analytics is a game-changer, enabling on-demand access to computing resources for data analysis. This model streamlines business intelligence processes by collecting,

The Google Analytics extension for CKAN enables integration with Google Analytics for tracking and analyzing usage of your CKAN data portal. It enhances CKAN installations by embedding Google Analytics tracking code for page views, recording resource downloads as events, and logging API call events. Furthermore, it can import statistical data from Google Analytics back into CKAN to display download counts on resource pages. Key Features: Page View Tracking: Automatically inserts the Google Analytics asynchronous tracking code into page headers to monitor basic site traffic and user behavior. Resource Download Event Tracking: Tracks resource downloads as events within Google Analytics, allowing for analysis of which resources are most popular and frequently accessed. The resource_prefix configuration option allows for easier filtering of resource downloads within the Google Analytics interface. API Call Event Tracking: Records specific API calls as events, offering insight into how users and applications are interacting with the CKAN API (note the readme doesn't specify which API calls are tracked). Custom Event Tracking: Provides a mechanism for other extensions to implement custom event tracking using Google Analytics, which provides a high level of extensibility. Statistics Retrieval: Retrieves statistical data from Google Analytics and integrates it into CKAN, enabling the display of download counts for each resource on the package page, offering immediate feedback on data usage.

Market Size and Growth: The website visitor tracking software market is projected to reach USD XX million by 2033, expanding at a CAGR of XX% from 2025 to 2033. The market is driven by the increasing adoption of digital marketing and analytics, as businesses seek to understand their website visitors' behavior and optimize their marketing campaigns. The growing demand for data privacy and compliance regulations is also fueling market growth. Industry Trends and Dynamics: The website visitor tracking software market is experiencing several trends, including the rise of cloud-based solutions, the integration of artificial intelligence (AI) and machine learning (ML) for enhanced data analysis, and the increased focus on personalization and customer segmentation. Key players in the market include Visitor Queue, Crazy Egg, VWO Insights, Leadfeeder, and Google Analytics, among others. The competitive landscape is characterized by strategic partnerships, acquisitions, and product innovations. Regional markets are also witnessing significant growth, particularly in North America, Europe, and Asia Pacific, as businesses across these regions embrace digital transformation and customer-centric strategies.

The mobile web analytics market, currently valued at $2756 million in 2025, is poised for significant growth, projected to expand at a compound annual growth rate (CAGR) of 8.6% from 2025 to 2033. This robust expansion is driven by several key factors. The increasing adoption of mobile devices globally fuels the demand for robust analytics solutions to understand user behavior and optimize website performance for mobile users. Furthermore, the rising sophistication of mobile web technologies, including the proliferation of progressive web apps (PWAs) and the increasing importance of mobile commerce (m-commerce), necessitates detailed analytics to track conversions, engagement metrics, and overall user experience. Competition among businesses to enhance their mobile presence and maximize return on investment (ROI) from mobile marketing efforts further drives market growth. The market segmentation, encompassing both Android and iOS platforms along with mobile app and mobile web page analytics, reflects the multifaceted nature of this sector and allows for specialized solutions tailored to individual client needs. Leading players such as Google, Facebook, Tencent, and others, leverage their existing technological infrastructure and vast user bases to dominate market share. The geographical distribution of the mobile web analytics market showcases a strong presence in North America and Europe, primarily due to the high level of digital maturity and technological adoption in these regions. However, substantial growth opportunities exist in rapidly developing economies across Asia-Pacific, particularly in countries like India and China, as smartphone penetration increases and businesses seek to capitalize on the expanding mobile user base. The market is also experiencing a growing need for advanced analytics capabilities, moving beyond basic website traffic data to encompass more sophisticated user segmentation, predictive analytics, and AI-driven insights. This shift towards data-driven decision-making will continue to shape the future of mobile web analytics and fuel further market expansion. The presence of established technology giants alongside innovative startups fosters competition and innovation, leading to a continuously evolving landscape of products and services.

The ckanext-ds-stats extension for CKAN provides analytics and statistics capabilities by integrating with Google Analytics. It leverages dga-stats and ga-report to pull data from Google Analytics and display relevant statistics within the CKAN interface, primarily focusing on package resource downloads. Facilitating data-driven decisions about dataset usage and popularity, this extension helps CKAN administrators understand how users interact with their data catalog. It also supports cross-domain tracking using Google's site linking feature. Key Features: Google Analytics Integration: Utilizes the Google Analytics API to retrieve website usage data, providing insights into dataset and resource access patterns. Download Tracking: Tracks and displays the number of downloads for individual resources on package pages, providing immediate feedback on resource popularity. Bounce Rate Tracking: Records bounce rate information for a specified page (typically the home page), enabling assessment of landing page effectiveness. Cross-Domain Tracking: Supports cross-domain tracking to consolidate analytics data from multiple related domains into a single Google Analytics property. Event Tracking: (Potentially for CKAN 1.x) Enables tracking of events beyond resource downloads, providing a more holistic view of user interactions with the CKAN instance. Configurable Analytics Settings: Offers several configuration options, including resource_prefix to easily filter resource downloads in Google Analytics, and domain settings to specify the tracking domain.

The global website traffic analysis tool market is experiencing robust growth, driven by the increasing reliance on digital marketing and the need for businesses of all sizes to understand their online audience. The market, estimated at $15 billion in 2025, is projected to grow at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $45 billion by 2033. This expansion is fueled by several key factors. The rising adoption of cloud-based solutions provides scalability and cost-effectiveness for businesses, particularly SMEs seeking affordable analytics. Moreover, the evolution of sophisticated analytics features, including advanced user behavior tracking and predictive analytics, enhances the value proposition for both SMEs and large enterprises. The market is segmented by application (SMEs and large enterprises) and by type (cloud-based and web-based), with cloud-based solutions dominating due to their accessibility and flexibility. Competitive pressures among numerous vendors, including established players like Google Analytics, Semrush, and Ahrefs, as well as emerging niche players, drive innovation and affordability, benefiting users. Geographic distribution shows strong growth across North America and Europe, with Asia-Pacific emerging as a high-growth region. However, factors such as data privacy concerns and the increasing complexity of website analytics can act as potential restraints. Despite these challenges, the continued expansion of e-commerce and digital marketing strategies across various industries will solidify the demand for robust website traffic analysis tools. The market is expected to witness further consolidation through mergers and acquisitions, with leading players investing heavily in research and development to enhance their offerings. The increasing need for real-time data analysis and integration with other marketing automation platforms will further shape market evolution. The emergence of AI-powered analytics, providing predictive insights and automated reporting, is transforming the industry and will continue to drive market expansion in the coming years. This makes this market an attractive landscape for investors and technology providers looking for strong future growth.

The trak extension for CKAN enhances the platform's tracking capabilities by providing tools to import Google Analytics data and modify the presentation of page view statistics. It introduces a paster command for importing page view data from exported Google Analytics CSV files, enabling users to supplement CKAN's built-in tracking. The extension also includes template customizations to alter how page view counts are displayed on dataset and resource listing pages. Key Features: Google Analytics Data Import: Imports page view data directly from a stripped-down CSV of Google Analytics data using a dedicated paster command (csv2table). The CSV should contain a list of page views, where each row starts with '/'. The PageViews column is expected to be the 3rd column. Customizable Page View Display: Changes the default presentation of page view statistics within CKAN, removing the minimum view count restriction (default is 10) so all views can be seen and modifies UI elements. Altered Page Tracking Stats: Alters the placement of page tracking statistics, moving them below Package Data (on dataset list pages) and Resource Data (on resource list pages) for better integration of tracking data. UI/UX Enhancements: Replaces the flame icon typically used for page tracking and substitutes it with more subtle background styling to modernize the presentation of tracking data. Backend Data Manipulation Uses a 'floor date' of 2011-01-01 for page view calculation. Entries are made in the trackingraw table for each view, with a unique UUID. Integration with CKAN: The extension integrates into CKAN's core functionalities by introducing a new paster command and modifying existing templates for displaying page view statistics. It relies on CKAN's built-in tracking to be enabled, but supplements its capabilities with imported data and presentation adjustments. After importing data using the csv2table paster command, the standard tracking update and search-index rebuild paster tasks need to be run to process the imported data and update the search index.. Benefits & Impact: By importing data from Google Analytics, the trak extension allows administrators to see a holistic view of page views. It changes the user experience to facilitate tracking statistics in a more integrated fashion. This allows for a better understanding of the impact and utilization of resources within the CKAN instance, based on Google Analytics data.

The ga-report extension for CKAN is designed to provide detailed Google Analytics reports, including totals per group, to site managers. Unlike other extensions that focus on providing real-time page view statistics for end-users, this extension focuses on building regular, periodic reports to monitor site usage and performance. It enables site administrators to download Google Analytics data into CKAN's database tables and view the data as web page reports, thereby facilitating informed decision-making and resource allocation. Key Features: Google Analytics Data Download: Enables users to download Google Analytics data for specified time periods using a CLI tool, storing this data within the extension's database tables. Web Page Reports: Allows users to view the downloaded Google Analytics data as web page reports accessible through the CKAN interface. Periodic Report Generation: Emphasizes the creation of regular, periodic reports instead of focusing solely on real-time analytics, offering a historical perspective on site traffic and engagement. Bounce Rate Tracking: Specifies a particular URL (typically the homepage) to record and analyze bounce rates for, enabling optimization of landing pages. Data Retrieval Customization: Supports retrieving data for all time, the latest available data, or data from a specific date, providing flexibility in data analysis. Technical Integration: Requires setting up Google Analytics and obtaining API credentials that are then used to access Google Analytics data. This involves enabling the "Analytics API" in the Google APIs Console and creating an OAuth 2.0 client ID and secret. The extension utilizes a credentials.json file to store authentication details, allowing the CKAN instance to securely access Google Analytics. The location of the token.dat authentication token generated is specified in the CKAN configuration file (development.ini or similar). The extension's database tables are initialized using a paster command, which ensures that the required data structures are set up within CKAN's database to store the Google Analytics data. Benefits & Impact: By providing a mechanism for regular Google Analytics reporting, the ga-report extension assists CKAN site managers in monitoring trends, identifying areas for improvement, and making data-driven decisions to optimize site performance. The ability to download and store Google Analytics data within CKAN also allows for more in-depth analysis and integration with other data sources.

This dataset is a collection of user reviews for various Google Apps available on the Play Store. It provides detailed insights into user feedback, ratings, and engagement with different applications. The dataset's primary purpose is to offer a rich resource for understanding user sentiment, identifying app performance issues, and tracking user satisfaction over time. It is a valuable asset for analytics and natural language processing tasks related to app reviews.

Columns

• reviewId: A unique identifier for each individual user review.
• userName: The name of the user who submitted the review.
• userImage: The URL pointing to the user's profile image.
• content: The textual review provided by the user about the app.
• score: The numerical rating given by the user for the app, typically on a scale of 1 to 5.
• thumbsUpCount: The total number of likes or "thumbs up" received by that specific review.
• reviewCreatedVersion: The version of the app that was being reviewed at the time the review was created.
• at: The date and time when the user's review was created.
• replyContent: The textual content of the reply provided by the app developer to the user's review. A significant portion of reviews do not have a developer reply.
• repliedAt: The date and time when the developer's reply was issued. Many entries in this column are null, indicating no developer response.

Distribution

The dataset contains over 90,000 app reviews. The score column shows a distribution across ratings, with substantial counts for scores like 1.00-1.20, 2.00-2.20, 3.00-3.20, 4.00-4.20, and 4.80-5.00. For thumbsUpCount, the majority of reviews have a relatively low number of likes (0-720), but there are instances with significantly higher counts, reaching up to over 14,000 likes. The reviewCreatedVersion column shows a variety of app versions, with some being more frequently reviewed than others. Review creation dates span a period from April 2014 to February 2021, with a notable increase in review volume towards the later years, particularly between May 2020 and February 2021.

Usage

This dataset is ideal for: * Sentiment analysis of app reviews. * Natural Language Processing (NLP) tasks, such as topic modelling, text classification, and entity recognition. * App performance monitoring and identifying user pain points. * Market research on user satisfaction and trends in app usage. * Developing AI and Machine Learning models for predicting app ratings or automatically classifying feedback.

Coverage

The dataset offers global coverage for app reviews. The time range for review creation spans from 10th April 2014 to 4th February 2021. While developer replies are included, the data on repliedAt primarily indicates a single latest date (4th February 2021) with the majority being null, suggesting that developer reply timestamps are not as broadly distributed across the dataset as review creation times.

License

CC0

Who Can Use It

• App Developers: To understand user feedback, identify bugs, and improve app features.
• Data Analysts: For trends analysis, user behaviour insights, and reporting.
• Researchers: In fields like computer science, internet studies, and data analytics for academic studies on online reviews.
• Machine Learning Engineers: To train models for sentiment analysis, user support automation, or content moderation.
• Product Managers: To gather insights for product iteration and strategic planning.

Dataset Name Suggestions

• Google Play Store App Reviews
• Play Store User Feedback
• Google Apps Ratings and Reviews
• Mobile App Review Data
• Playstore Review Analytics Data

Attributes

Original Data Source: Google Apps Playstore Reviews