Apple App Store dataset to explore detailed information on app popularity, user feedback, and monetization features. Popular use cases include market trend analysis, app performance evaluation, and consumer behavior insights in the mobile app ecosystem.

Use our Apple App Store dataset to gain comprehensive insights into the mobile app ecosystem, including app popularity, user ratings, monetization features, and user feedback. This dataset covers various aspects of apps, such as descriptions, categories, and download metrics, offering a full picture of app performance and trends.

Tailored for marketers, developers, and industry analysts, this dataset allows you to track market trends, identify emerging apps, and refine promotional strategies. Whether you're optimizing app development, analyzing competitive landscapes, or forecasting market opportunities, the Apple App Store dataset is an essential tool for making data-driven decisions in the ever-evolving mobile app industry.

Dataset Features

• url: The URL linking to the app’s page on the Apple App Store.
• title: The name of the app.
• sub_title: A brief subtitle or tagline for the app.
• developer: The name of the entity or individual that developed the app.
• top_charts: Indicates if the app appears in top charts.
• monetization_features: Information on monetization aspects (such as in-app purchases or advertisements).
• image: A reference to the main app image.
• screenshots: Contains screenshot images of the app.
• description: Detailed app description outlining main features.
• what_new: Details on the latest updates or new features.
• rating: The overall rating based on user reviews.
• number_of_raters: The total number of users who have rated the app.
• reviews_by_stars: Breakdown of the number of reviews by star rating.
• reviews: An aggregation of user reviews.
• events: Any associated events or promotions.
• data_linked_to_you: Indicates if any data is linked to the user.
• seller: The entity responsible for selling or distributing the app.
• category: The category or genre of the app.
• languages: Languages supported by the app.
• copyright: Copyright information provided by the developer.
• size: The file size of the app.
• compatibility: Device or OS compatibility details.
• age_rating: The recommended age rating for the app.
• price: The price of the app.
• In_app_purchases: Details on in-app purchase options.
• support: Information related to app support.
• more_by_this_developer: Suggestions for other apps by the same developer.
• you_might_also_like: Recommendations for similar apps.
• app_support: Additional support details.
• privacy_policy: Link or reference to the app’s privacy policy.
• developer_website: The website of the app developer.
• featured_in: Information on any features or showcases the app has being part of.
• country: The country from which the app’s data was sourced.
• timestamp: A timestamp indicating when the data record was last updated.
• latest_app_version: The most recent version of the app available.
• app_id: A unique identifier for the app.

Distribution

• Data Volume: 36 Columns and 68M Rows
• Format: CSV

Usage

This dataset is versatile and can be used for various applications: - Market Analysis: Analyze app pricing strategies, monetization features, and category distribution to understand market trends and opportunities in the App Store. This can help developers and businesses make informed decisions about their app development and pricing strategies. - User Experience Research: Study the relationship between app ratings, number of reviews, and app features to understand what drives user satisfaction. The detailed review data and ratings can provide insights into user preferences and pain points. - Competitive Intelligence: Track and analyze apps within specific categories, comparing features, pricing, and user engagement metrics to identify successful patterns and market gaps. Particularly useful for developers planning new apps or improving existing ones. - Performance Prediction: Build predictive models using features like app size, category, pricing, and language support to forecast potential app success metrics. This can help in making data-driven decisions during app development. - Localization Strategy: Analyze the languages supported and regional performance to inform decisions about app localization and international market expansion.

Coverage

• Geographic Coverage: Global

License

CUSTOM Please review the respective licenses below: 1. Data Provider's License - Bright Data Master Service Agreement

Who Can Use It

• Data Scientists: Can leverage this dataset for training machine learning algorithms and building predictive models concerning app tr

App Download Key StatisticsApp and Game DownloadsiOS App and Game DownloadsGoogle Play App and Game DownloadsGame DownloadsiOS Game DownloadsGoogle Play Game DownloadsApp DownloadsiOS App...

The app analytics market, valued at $7.29 billion in 2025, is experiencing robust growth, projected to expand at a compound annual growth rate (CAGR) of 21.09% from 2025 to 2033. This surge is driven by several key factors. The increasing adoption of mobile applications across diverse industries, coupled with the rising need for businesses to understand user behavior and optimize app performance, fuels the demand for sophisticated analytics solutions. Furthermore, advancements in data analytics technologies, including artificial intelligence (AI) and machine learning (ML), are enabling more insightful and actionable data analysis, further propelling market expansion. The diverse application of app analytics across marketing/advertising, revenue generation, and in-app performance monitoring across various sectors like BFSI, e-commerce, media, travel and tourism, and IT and telecom significantly contributes to this growth. The market is segmented by deployment (mobile apps and website/desktop apps) and end-user industry, with mobile app analytics currently dominating due to the widespread adoption of smartphones. The competitive landscape is characterized by a mix of established technology giants like Google and Amazon alongside specialized app analytics providers like AppsFlyer and Mixpanel. These companies are continuously innovating, integrating new technologies, and expanding their product offerings to cater to the evolving needs of businesses. While the North American market currently holds a significant share, the Asia-Pacific region is expected to witness substantial growth in the coming years driven by increasing smartphone penetration and digitalization initiatives. However, factors like data privacy concerns and the rising complexity of integrating various analytics tools could pose challenges to market growth. Nonetheless, the overall outlook for the app analytics market remains positive, indicating substantial opportunities for players across the value chain. Recent developments include: June 2024 - Comscore and Kochava unveiled an innovative performance media measurement solution, providing marketers with enhanced insights. This cutting-edge cross-screen solution empowers marketers to understand better how linear TV ad campaigns impact both online and offline actions. By integrating Comscore’s Exact Commercial Ratings (ECR) data with Kochava’s sophisticated marketing mix modeling, the solution facilitates the measurement of crucial metrics, including mobile app activities (such as installs and in-app purchases) and website interactions., June 2024 - AppsFlyer announced its integration of the Data Collaboration Platform with Start.io, an omnichannel advertising platform that focuses on real-time mobile audiences for publishers. Through this collaboration, businesses leveraging the AppsFlyer Data Collaboration Platform can merge their Start.io data with campaign metrics and audience insights, creating a more comprehensive dataset for precise audience targeting.. Key drivers for this market are: Increasing Usage of Mobile/Web Apps Across Various End-user Industries, Increasing Adoption of Technologies like 5G Technology and Deeper Penetration of Smartphones; Increase in the Amount of Time Spent on Mobile Devices Coupled With the Increasing Focus on Enhancing Customer Experience. Potential restraints include: Increasing Usage of Mobile/Web Apps Across Various End-user Industries, Increasing Adoption of Technologies like 5G Technology and Deeper Penetration of Smartphones; Increase in the Amount of Time Spent on Mobile Devices Coupled With the Increasing Focus on Enhancing Customer Experience. Notable trends are: Media and Entertainment Industry Expected to Capture Significant Share.

The global number of smartphone users in was forecast to continuously increase between 2024 and 2029 by in total 1.8 billion users (+42.62 percent). After the ninth consecutive increasing year, the smartphone user base is estimated to reach 6.1 billion users and therefore a new peak in 2029. Notably, the number of smartphone users of was continuously increasing over the past years.Smartphone users here are limited to internet users of any age using a smartphone. The shown figures have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of smartphone users in countries like Australia & Oceania and Asia.

Mobile App Analytics Software Market Outlook

The global mobile app analytics software market size was valued at USD 2.5 billion in 2023 and is projected to reach USD 8.4 billion by 2032, growing at a CAGR of 14.3% during the forecast period. This robust growth is driven by increasing smartphone penetration and the growing importance of mobile applications in business strategies. The rising need for real-time data analysis and user insights to optimize app performance and enhance user experience further fuels market expansion.

One of the primary growth factors for the mobile app analytics software market is the rapid increase in smartphone usage worldwide. With the proliferation of mobile devices, users are spending more time on mobile applications, which has incentivized businesses to invest in mobile app analytics to understand user behavior and improve app functionalities. Moreover, the widespread adoption of mobile devices has provided businesses with rich data sets to analyze, thereby driving the demand for sophisticated analytics tools. This trend is expected to continue as more businesses recognize the value of mobile app analytics in driving customer engagement and retention.

Another significant growth driver is the increasing demand for personalized user experiences. In today’s competitive market landscape, businesses are striving to deliver personalized content and experiences to their users to gain a competitive edge. Mobile app analytics software enables companies to gather and analyze user data, providing valuable insights that can be used to tailor app experiences to individual users’ preferences and behaviors. This personalization not only enhances user satisfaction but also boosts user retention rates, leading to higher revenue generation for businesses.

The burgeoning e-commerce sector also plays a crucial role in the growth of the mobile app analytics software market. With the rise of online shopping, e-commerce businesses are increasingly relying on mobile applications to reach their customers. Mobile app analytics software helps e-commerce companies track and analyze user interactions, purchase patterns, and preferences, enabling them to optimize their app performance and marketing strategies. As the e-commerce industry continues to expand, the demand for mobile app analytics software is expected to grow in tandem.

Regionally, North America holds a dominant position in the mobile app analytics software market, attributed to the high penetration of smartphones and the presence of major technology companies in the region. Additionally, the early adoption of advanced technologies and the increasing focus on digital transformation initiatives further bolster market growth in North America. The Asia Pacific region is also witnessing significant growth, driven by the rapid digitalization of emerging economies and the increasing number of mobile app users. Europe, Latin America, and the Middle East & Africa are also expected to contribute to market growth, supported by the rising adoption of mobile applications and the growing emphasis on user experience optimization.

Component Analysis

The mobile app analytics software market is segmented into software and services components. The software segment holds a substantial share of the market, driven by the need for advanced analytical tools to process and interpret vast amounts of user data. Mobile app analytics software offers functionalities such as user behavior analysis, app performance tracking, and marketing campaign effectiveness measurement, which are crucial for businesses aiming to optimize their mobile strategies. As the demand for data-driven decision-making continues to rise, the software segment is expected to maintain its dominance in the market.

Services, as a component, also play a vital role in the mobile app analytics software market. These services include implementation, consulting, and maintenance, which are essential for ensuring the effective deployment and utilization of mobile app analytics tools. Consulting services, in particular, help businesses understand how to leverage analytics software to achieve their strategic objectives. Additionally, maintenance services ensure that the analytics tools remain up-to-date with the latest technological advancements and market trends, thereby enhancing their effectiveness and reliability.

Customization services are another critical aspect of the services component. Businesses often require tailored solutions that align with their specific needs and goals. Customization services enable compa

NoSQL Database Market size was valued at USD 7.43 Billion in 2024 and is projected to reach USD 60 Billion by 2031, growing at a CAGR of 30% during the forecast period from 2024 to 2031.

Global NoSQL Database Market Drivers

Big Data Management: The exponential growth of unstructured and semi-structured data necessitates flexible and scalable database solutions. Cloud Computing Adoption: The shift towards cloud-based applications and infrastructure is driving demand for NoSQL databases. Real-time Analytics: NoSQL databases excel at handling real-time data processing and analytics, making them suitable for applications like IoT and fraud detection.

Global NoSQL Database Market Restraints

Complexity and Management Challenges: NoSQL databases can be complex to manage and require specialized skills. Lack of Standardization: The absence of a standardized NoSQL query language can hinder data integration and migration.

This dataset encompasses a wide-ranging collection of Google Play applications, providing a holistic view of the diverse ecosystem within the platform. It includes information on various attributes such as the title, developer, monetization features, images, app descriptions, data safety measures, user ratings, number of reviews, star rating distributions, user feedback, recent updates, related applications by the same developer, content ratings, estimated downloads, and timestamps. By aggregating this data, the dataset offers researchers, developers, and analysts an extensive resource to explore and analyze trends, patterns, and dynamics within the Google Play Store. Researchers can utilize this dataset to conduct comprehensive studies on user behavior, market trends, and the impact of various factors on app success. Developers can leverage the insights derived from this dataset to inform their app development strategies, improve user engagement, and optimize monetization techniques. Analysts can employ the dataset to identify emerging trends, assess the performance of different categories of applications, and gain valuable insights into consumer preferences. Overall, this dataset serves as a valuable tool for understanding the broader landscape of the Google Play Store and unlocking actionable insights for various stakeholders in the mobile app industry.

NoSQL Database Market was valued at $9.38 Billion in 2023, and is projected to reach $USD 86.48 Billion by 2032, at a CAGR of 28% from 2023 to 2032.

The population share with mobile internet access in North America was forecast to increase between 2024 and 2029 by in total 2.9 percentage points. This overall increase does not happen continuously, notably not in 2028 and 2029. The mobile internet penetration is estimated to amount to 84.21 percent in 2029. Notably, the population share with mobile internet access of was continuously increasing over the past years.The penetration rate refers to the share of the total population having access to the internet via a mobile broadband connection.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the population share with mobile internet access in countries like Caribbean and Europe.

The dataset used to analyze the effect of seasons on human infant growth.

This dataset comprises 10000 entries, each representing an application (app) across various categories, including Finance, Health, Social, Productivity, and Travel. It is structured into eight columns, detailed as follows:

App_ID: A unique identifier for each app, ranging from 1 to 10000. Category: The sector or industry the app belongs to. Security_Practice_Used: Security measures and practices implemented in the app. Vulnerability_Types: Types of security vulnerabilities identified within the app. Mitigation_Strategies: Strategies and methods used to mitigate or address vulnerabilities. Developer_Challenges: Challenges faced by developers in implementing security measures. Assessment_Tools_Used: Tools utilized for assessing or testing the app's security. Improvement_Suggestions: Recommendations for enhancing the app's security posture. The dataset offers a comprehensive overview of security practices, challenges, and improvements in app development, emphasizing the importance of cybersecurity across different app categories. It serves as a valuable resource for understanding the security landscape in app development, highlighting common vulnerabilities, effective mitigation strategies, developer challenges, and tools used for security assessment. ​

The global low code development market is approximated at a value of US$ 22.5 billion in 2024 and is calculated to increase at a CAGR of 26.8% to reach US$ 241.9 billion by the end of 2034.

Country-wise Analysis

Category-wise Analysis

Unlock the power of direct engagement with our comprehensive dataset of 34 million verified global phone numbers. This dataset is curated for businesses and data-driven teams looking to enhance customer acquisition, power targeted outreach, enrich CRM records, and fuel B2C growth at scale.

Whether you're running SMS marketing campaigns, telemarketing, building a mobile app user base, or performing identity validation, this dataset offers a scalable, compliant foundation to reach real users worldwide.

🔍 What’s Included: ✅ 34,000,000+ mobile and landline numbers

🌍 Global coverage, including high volumes from the US, UK, Canada, Europe, and emerging markets

🧹 Clean, structured format (CSV/JSON/SQL) for easy integration

📱 Includes carrier, country code, line type, and location data (where available)

🧠 Ideal Use Cases: B2C & D2C marketing campaigns

SMS and voice call outreach

Lead generation & prospecting

Mobile app user acquisition

Identity verification & enrichment

Market analysis and segmentation

According to Cognitive Market Research, the global cloud database and DBaaS marketsize will be USD 21.9 billion in 2024 and will increase at a compound annual growth rate (CAGR) of 21.6% from 2024 to 2031. Market Dynamics of Cloud Database and DBaaS Market Key Drivers for Cloud Database and DBaaS Market Mobile and IoT Adoption - The rise of mobile and IoT technologies fuels demand for cloud databases and DBaaS solutions. Data generation surges as mobile usage skyrockets and IoT devices flourish, necessitating scalable, accessible storage options. Cloud databases offer flexibility and scalability to accommodate these dynamic workloads while enabling seamless integration with mobile and IoT applications. The shift towards digital transformation initiatives also amplifies the need for agile, cloud-native database solutions to support modernization efforts across industries. Automated administration reduces operational complexity, which drives the cloud database and DBaaS market's expansion in the years ahead. Key Restraints for Cloud Database and DBaaS Market Compatibility issues with existing systems hinder the adoption of the cloud database and DBaaS in the industry. The market also faces significant difficulties related to data migration challenges that hinder adoption and scalability.. Introduction of the Cloud Database and DBaaS Market Cloud databases and Database-as-a-Service (DBaaS) offer scalable and managed storage solutions where data is hosted and accessed over the internet. Market drivers for these services include the imperative for scalability to accommodate growing data volumes, cost efficiencies achieved through a shift from capital to operational expenditure, enhanced accessibility enabling collaboration and innovation from any location, heightened demand for robust security features to address data privacy concerns, simplified management through automated administration, and elasticity to handle fluctuating workloads seamlessly. These drivers collectively address modern business needs for flexibility, cost-effectiveness, security, and performance. As organizations increasingly depend on data as a strategic asset, cloud databases, and DBaaS solutions provide the agility and efficiency required to meet evolving demands while leveraging the benefits of cloud computing infrastructure.

Global Cloud Mobile Backend as a Service (BaaS) Market size was $3.0 Billion in 2022 and is slated to hit $7.3 Billion by the end of 2030 with a CAGR of nearly 24.1%.

The global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in 2018. With a share of 45 percent, the software segment would become the large big data market segment by 2027.

What is Big data?

Big data is a term that refers to the kind of data sets that are too large or too complex for traditional data processing applications. It is defined as having one or some of the following characteristics: high volume, high velocity or high variety. Fast-growing mobile data traffic, cloud computing traffic, as well as the rapid development of technologies such as artificial intelligence (AI) and the Internet of Things (IoT) all contribute to the increasing volume and complexity of data sets.

Big data analytics

Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate new business insights. The global big data and business analytics market was valued at 169 billion U.S. dollars in 2018 and is expected to grow to 274 billion U.S. dollars in 2022. As of November 2018, 45 percent of professionals in the market research industry reportedly used big data analytics as a research method.

As of January 2024, Instagram was slightly more popular with men than women, with men accounting for 50.6 percent of the platform’s global users. Additionally, the social media app was most popular amongst younger audiences, with almost 32 percent of users aged between 18 and 24 years.

              Instagram’s Global Audience

              As of January 2024, Instagram was the fourth most popular social media platform globally, reaching two billion monthly active users (MAU). This number is projected to keep growing with no signs of slowing down, which is not a surprise as the global online social penetration rate across all regions is constantly increasing.
              As of January 2024, the country with the largest Instagram audience was India with 362.9 million users, followed by the United States with 169.7 million users.

              Who is winning over the generations?

              Even though Instagram’s audience is almost twice the size of TikTok’s on a global scale, TikTok has shown itself to be a fierce competitor, particularly amongst younger audiences. TikTok was the most downloaded mobile app globally in 2022, generating 672 million downloads. As of 2022, Generation Z in the United States spent more time on TikTok than on Instagram monthly.

The Gaming Taxonomy contains a broad scope of Gaming related topics, based on the user's browser and mobile app activity through last 30 days. There are classical Demographic, Game Genre, Title and Studio segments. However, we provide also plenty of specific User Types, which contain e.g. Hardcore Gamers, Big Spenders or Parents of Gamers. There are also audiences categorized by specific Hardware Products and Brands, based on the Intent of these devices' purchase. Moreover, we offer segments for Virtual Reality, interest in Gaming Subscriptions, Payments, Micropayments, Devices and Platforms. We also cover the area of E-sports Enthusiasts and Fandoms Members. In spirit of looking beyond simple game genres, we categorize Games according to their Theme (e.g. Historical), which is definitely important aspects of user experience and purchase decisions. Since Mobile Gaming is a very important part of the Gaming Industry, we distinct special Mobile Gaming segments, which are analogous to the ordinary Gaming segments, with additional categorizations of the Telecommunication Network Providers.

Our data base include millions of profiles divided into popular categories. You can choose which target groups you want to reach. Segments based on users' interests, purchase intentions or demography. Contact us to check all the possibilities: team@oan.pl

How you can use our data?

There are two main areas where you can use our data: • marketers - targeting online campaigns With our high-quality audience data, you can easily reach specific audiences across the world in programmatic campaigns. Show them personalized ads adjusted to their specific profiles. • ad tech companies - enriching 1st party data or using our raw data by your own data science team

We are ready for a cookieless era. We already gather and provide non-cookie ID - for example Universal IDs, CTV IDs or Mobile IDs.

Success.ai’s B2B Contact Data for IT Professionals Worldwide is an advanced, AI-validated solution designed to help businesses connect with top IT talent and decision-makers globally. With access to over 170 million verified profiles, this dataset includes key contact information such as work emails, phone numbers, and additional professional details, ensuring you can easily engage with IT leaders and specialists across various industries.

Our comprehensive data is continually updated to ensure accuracy, relevance, and compliance with global standards. Whether you're looking to expand your network, enhance lead generation, or improve recruitment processes, Success.ai’s IT professional database is designed to meet the evolving needs of your business.

Key Features of Success.ai’s IT Professional Contact Data

• Global Coverage Across the IT Industry Success.ai offers a diverse range of IT professionals, including but not limited to:

Software Engineers & Developers: Specialists in coding, programming, and software development. IT Managers & Directors: Decision-makers responsible for IT infrastructure and strategy. Systems Administrators: Experts managing system installations, configurations, and troubleshooting. Cloud Computing Specialists: Professionals focused on cloud storage and infrastructure services. Cybersecurity Experts: IT professionals safeguarding data and systems from cyber threats. IT Consultants & Analysts: Advisers providing strategic recommendations on technology improvements.

This dataset spans 170M+ verified profiles across more than 250 countries, ensuring you reach the right IT professionals, wherever they are.

• Verified and Continuously Updated Data

  99% Accuracy: Data is AI-validated to ensure that you are reaching the right contacts with accurate, up-to-date information. Real-Time Updates: Success.ai’s dataset is constantly refreshed, ensuring that the information you receive is always relevant and timely. Global Compliance: Our data collection adheres to GDPR, CCPA, and other data privacy standards, ensuring that your outreach practices are ethical and compliant.

• Customizable Data Solutions Success.ai provides multiple delivery methods to suit your business needs:

API Integration: Seamlessly integrate our data into your CRM, marketing automation, or lead-generation systems for real-time updates. Custom Flat Files: Receive highly targeted and segmented datasets, preformatted to your specifications, making integration easy.

Why Choose Success.ai’s IT Professional Contact Data?

• Best Price Guarantee We offer the most competitive pricing in the industry, ensuring you get exceptional value for high-quality, verified contact data.

• Targeted Outreach to IT Professionals Our comprehensive dataset is perfect for precision targeting, making it easier to connect with key IT professionals. With detailed profiles, including work emails and phone numbers, you can engage with decision-makers directly and increase the efficiency of your campaigns.

• Strategic Use Cases

  Lead Generation: Use our verified contact information to target IT decision-makers and specialists for your lead generation campaigns. Sales Outreach: Reach out to key IT managers, directors, and consultants to promote your product or service and close high-value deals. Recruitment: Source top-tier IT talent with verified contact data for software developers, network administrators, and IT executives. Marketing Campaigns: Run hyper-targeted marketing campaigns for IT professionals globally to promote tech services, job openings, or industry innovations. Business Expansion: Use data-driven insights to expand your global outreach, identifying opportunities and building relationships in untapped markets.

• Key Data Highlights

  170M+ Verified Profiles of IT professionals worldwide, covering a wide range of roles and industries. 50M Work Emails to help you reach the right IT contacts. 30M Company Profiles with insights on the organizations that these professionals represent. 700M+ LinkedIn Professional Profiles globally, enhancing your ability to access verified IT contacts across various platforms.

Powerful APIs for Enhanced Functionality

• Enrichment API Keep your data up to date with our Enrichment API, providing real-time enrichment of your existing contact database. Perfect for businesses that want to maintain accurate and current information about their leads and customers.

• Lead Generation API Maximize your lead generation campaigns by accessing Success.ai’s vast and verified dataset, which includes work emails and phone numbers for IT professionals worldwide. Our API supports up to 860,000 API calls per day, ensuring scalability for large enterprises.

• Use Cases for IT Professional Contact Data

• Lead Generation for IT Solutions Target IT decision-makers, software developers, and cybersecuri...

This dataset is having data of customers who buys clothes online. The store offers in-store style and clothing advice sessions. Customers come in to the store, have sessions/meetings with a personal stylist, then they can go home and order either on a mobile app or website for the clothes they want.

The company is trying to decide whether to focus their efforts on their mobile app experience or their website.