The global Consumer Ratings and Reviews Platform market is experiencing robust growth, driven by the increasing reliance of consumers on online reviews before making purchasing decisions and businesses' need to understand and manage their online reputation. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching an estimated $45 billion by 2033. This expansion is fueled by several key trends, including the rise of e-commerce, the increasing adoption of social media, and the growing demand for transparency and authenticity from brands. Businesses across various sectors, including retail, logistics, and healthcare, are actively investing in these platforms to enhance customer engagement, improve brand perception, and drive sales. The cloud-based segment holds a significant market share due to its scalability, flexibility, and cost-effectiveness. Geographic expansion is also a prominent factor, with North America currently dominating the market, followed by Europe and Asia-Pacific. However, emerging markets in Asia-Pacific and the Middle East & Africa present lucrative opportunities for future growth. Competitive intensity is high, with numerous established players and new entrants vying for market share. The market's future trajectory will be shaped by factors such as the evolving landscape of online reviews, the integration of AI-powered sentiment analysis, and the growing emphasis on data privacy and security. While the market is flourishing, challenges remain. The increasing sophistication of fake reviews presents a significant threat to the credibility of these platforms, necessitating robust verification mechanisms. Furthermore, regulatory scrutiny around data privacy and consumer protection is intensifying, requiring platform providers to comply with evolving legal frameworks. Despite these challenges, the long-term outlook for the Consumer Ratings and Reviews Platform market remains positive, driven by the enduring importance of consumer feedback and the continuous innovation within the sector. The diverse applications across multiple industry verticals will fuel this growth, with increasing adoption in emerging markets contributing to this expansion in the coming years.

Consumer Ratings & Reviews Software Market Outlook

The global consumer ratings & reviews software market size was valued at USD 4.7 billion in 2023 and is expected to reach USD 9.8 billion by 2032, growing at a CAGR of 8.3% from 2024 to 2032. The growth of the market can be attributed to the increasing importance of online reviews in influencing consumer purchasing decisions and the rising adoption of digital platforms across various industries. The expanding e-commerce sector and the growing reliance on user-generated content for brand credibility are also significant factors driving market growth.

One of the primary growth factors for the consumer ratings & reviews software market is the surging e-commerce sector. With a significant rise in online shopping, consumers are increasingly relying on reviews and ratings to make informed purchasing decisions. This has led to a growing demand for robust review management systems that can help businesses manage and analyze customer feedback effectively. Furthermore, the increasing penetration of smartphones and internet connectivity has made it easier for consumers to leave reviews and access ratings, thereby boosting the need for advanced software solutions in this market.

Another key growth factor is the heightened focus on customer experience by businesses across various sectors. Companies are increasingly recognizing the value of consumer feedback in improving their products and services. By leveraging ratings and reviews software, businesses can gain valuable insights into customer preferences and pain points, enabling them to make data-driven decisions. This focus on enhancing customer satisfaction is expected to drive the adoption of consumer ratings & reviews software in the coming years.

The rise of social media platforms has also contributed significantly to the growth of the consumer ratings & reviews software market. Social media has become a powerful tool for consumers to share their experiences and opinions about products and services. Businesses are increasingly utilizing ratings and reviews software to monitor and manage their online reputation on these platforms. The software helps in aggregating reviews from various sources, analyzing sentiment, and responding to customer feedback in real-time, thereby enhancing brand image and customer loyalty.

In the realm of digital commerce, the Content-Based Recommendation System has emerged as a pivotal tool for enhancing consumer engagement and satisfaction. By analyzing user preferences and behaviors, these systems offer personalized product recommendations, thereby enriching the shopping experience. This technology not only aids consumers in discovering products that align with their interests but also assists businesses in increasing conversion rates and customer retention. As e-commerce platforms continue to expand, the integration of content-based recommendation systems becomes increasingly vital, offering a competitive edge in the crowded digital marketplace.

Regionally, North America holds the largest share in the consumer ratings & reviews software market, owing to the high adoption of digital technologies and the presence of major market players in the region. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by the increasing penetration of e-commerce and the growing emphasis on customer feedback in emerging economies like China and India. Europe also represents a significant market, with businesses across the region increasingly focusing on customer experience and digital transformation.

Deployment Mode Analysis

The consumer ratings & reviews software market is segmented by deployment mode into on-premises and cloud. The on-premises segment involves software solutions that are installed and run on the physical servers of the organization. This mode of deployment offers enhanced control and security, making it ideal for businesses with stringent data privacy requirements. However, the on-premises segment is witnessing a gradual decline as more businesses are moving towards cloud-based solutions that offer greater flexibility and scalability.

The cloud deployment mode is expected to witness significant growth during the forecast period. Cloud-based ratings and reviews software solutions offer several advantages, including lower upfront costs, ease of access, and the ability to scale resource

The global Consumer Ratings & Reviews Software market is experiencing robust growth, driven by the increasing importance of online reputation management and the surge in e-commerce. Businesses across various sectors are leveraging these platforms to gather customer feedback, improve products and services, and boost their online visibility. The market's value in 2025 is estimated at $2.5 billion, projecting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This strong growth is fueled by several key trends, including the increasing adoption of social media reviews, the rising demand for sophisticated analytics tools to interpret customer feedback, and the growing need for seamless integration with existing CRM and marketing automation platforms. Furthermore, the expansion of e-commerce into new markets and the increasing reliance on online reviews for purchasing decisions are significantly contributing factors. The competitive landscape is dynamic, with a mix of established players and emerging startups vying for market share. Key players such as BirdEye, ReviewTrackers, and Bazaarvoice are continuously innovating to offer advanced features and cater to the evolving needs of businesses. The market is segmented by software type (e.g., cloud-based, on-premise), deployment mode, industry vertical, and region. While the North American market currently holds the largest share, regions like Asia-Pacific and Europe are witnessing significant growth due to rising internet penetration and increasing adoption of online review platforms. However, factors such as data security concerns, the cost of implementation, and the need for skilled personnel to manage these platforms pose potential restraints to market growth. Nevertheless, the long-term outlook for the Consumer Ratings & Reviews Software market remains positive, promising significant expansion in the coming years.

In a November 2021 survey conducted in the United States, 85 percent of respondents stated that the overall average star rating of a business was one of the most important considerations when judging a local business based on reviews. The business having a higher than average star rating than other businesses was also a very important factor, with 76 percent of respondents stating that this was one of the most important aspects.

The global consumer ratings and reviews software market is experiencing robust growth, driven by the increasing reliance of businesses on online reputation management and the escalating demand for customer feedback. The market's expansion is fueled by several key factors: the rising adoption of e-commerce, the growing importance of online reviews in consumer purchasing decisions, and the proliferation of social media platforms where reviews are prominently displayed. Businesses across various sectors, from retail and hospitality to healthcare and finance, are actively seeking software solutions to collect, analyze, and respond to customer feedback effectively. This helps them improve products and services, enhance customer satisfaction, and build brand loyalty. The market is further segmented by software features (e.g., review collection, sentiment analysis, social listening), deployment models (cloud-based vs. on-premise), and business size, offering diverse options to cater to specific business needs. Competition is intense, with a range of established players and emerging startups vying for market share. While the market presents significant opportunities, challenges remain, including the need for data security and privacy compliance, the integration of various software platforms, and the rising costs associated with sophisticated analytics capabilities. Assuming a conservative CAGR of 15% and a 2025 market size of $2 billion (a reasonable estimate given the numerous players and market trends), the market is projected to reach approximately $3.5 Billion by 2033. The competitive landscape is dynamic, with key players like BirdEye, ReviewTrackers, and Bazaarvoice leading the market. However, innovative startups are continuously entering the arena, introducing novel features and functionalities. The market's future trajectory will be shaped by advancements in artificial intelligence (AI) and machine learning (ML) for sentiment analysis and predictive analytics. Increased focus on personalized customer experiences and integration with other business software will further drive market expansion. Geographic variations exist, with North America and Europe currently holding substantial market share, but developing economies in Asia-Pacific are demonstrating strong growth potential. Over the forecast period, strategic acquisitions, partnerships, and technological innovation will continue to influence market dynamics. Effective customer relationship management (CRM) strategies that leverage review data are becoming increasingly crucial for maintaining competitiveness.

In recent years, it has become increasingly important to the consumer to read up on a product, business, or service before spending any money. In 2021, nearly ** percent of online shoppers typically read between *** and *** customer reviews before making a purchasing decision. Less than *** in *** shoppers did not have a habit of reading customer reviews before buying.

This dataset provides a detailed collection of shoe prices, reviews, and ratings gathered from a major online retail platform. Its primary purpose is to offer insights into consumer feedback and product performance within the footwear market. The data is highly valuable for conducting sentiment analysis, identifying product strengths and weaknesses, and understanding customer preferences through topic modelling and word-cloud formation. It can help pinpoint specific issues with products, often referred to as "potholes," based on user ratings and comments.

Columns

• title: The title of the product listing.
• price: The monetary value of the shoe.
• Shoe_Name: The given name of the shoe product.
• rating: The overall average rating awarded to the product, typically out of 5 stars.
• total_reviews: The total count of reviews a particular product has received.
• product_description: A textual explanation of the shoe's features and benefits.
• reviews: Up to 10 individual customer reviews for the shoe, separated by a delimiter '|| '.
• reviews_rating: The corresponding star ratings for each of the individual reviews, also separated by '|| '.
• Shoe Type: Categorisation indicating whether the shoe is for 'Men' or 'Women'.

Distribution

The dataset is typically provided in a CSV file format. While specific total row counts are not detailed, it contains various unique values across its columns, such as different shoe names, prices, and product descriptions. It includes numerous entries related to footwear products listed on Amazon.

Usage

This dataset is ideal for various analytical applications, including: * Performing sentiment analysis to gauge public opinion on specific shoe models. * Conducting topic modelling to uncover key themes and recurring issues in customer reviews. * Generating word clouds to visually represent frequently used terms in feedback. * Identifying "potholes" or areas for product improvement based on negative feedback patterns. * Market research to understand consumer preferences and trends in footwear.

Coverage

The dataset's scope is global, encompassing various products listed on the platform. Demographically, it includes footwear primarily for Men (approximately 70%) and Women (approximately 30%). No specific time range for data collection is detailed within the available information.

License

CC0

Who Can Use It

This dataset is suitable for: * Data Scientists and Analysts: For developing predictive models, performing natural language processing (NLP) tasks, and extracting insights from unstructured text data. * E-commerce Businesses: To monitor customer satisfaction, improve product offerings, and devise targeted marketing strategies. * Retail Strategists: To understand market demand, identify best-selling attributes, and forecast trends in the footwear sector. * Academic Researchers: For studies on consumer behaviour, online reviews, and product-market fit.

Dataset Name Suggestions

• Amazon Footwear Reviews & Ratings
• Online Shoe Consumer Feedback
• E-commerce Shoe Product Analysis Data
• Men and Women's Shoe Reviews Dataset

Attributes

Original Data Source: Men_Women_Shoes_Reviews

Ecommerce Rating and Review Tools Market Outlook

The global market size for Ecommerce Rating and Review Tools was valued at approximately $1.9 billion in 2023 and is projected to reach around $5.6 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 12.5% during the forecast period. A key growth factor driving this market includes the increasing need for businesses to enhance their online reputation and customer trust which has been accelerated by the rapid digitization and surge in online shopping behaviors globally.

One significant growth factor for the Ecommerce Rating and Review Tools market is the rising importance of customer feedback in the purchasing journey. With consumers increasingly relying on reviews and ratings to make informed purchasing decisions, businesses are compelled to integrate sophisticated rating and review tools into their ecommerce ecosystems. This has led to a substantial increase in the demand for these tools, as businesses aim to acquire actionable insights that can help refine their products, services, and customer experience strategies.

Another driving force is the proliferation of mobile commerce. As more consumers shift from desktop to mobile shopping, the need for streamlined and user-friendly rating and review interfaces becomes critical. Mobile-friendly review tools that can easily be integrated into ecommerce apps and websites are witnessing high adoption rates. This trend is further fueled by the growing penetration of smartphones and high-speed internet, particularly in emerging markets, which significantly broadens the potential user base for these tools.

The increasing adoption of artificial intelligence (AI) and machine learning (ML) technologies within these tools also serves as a growth catalyst. AI and ML enable more sophisticated data analysis, sentiment analysis, and fraud detection capabilities. These advanced features help businesses not only in gathering authentic reviews but also in deriving more precise and actionable insights from the feedback data. Consequently, the integration of AI and ML in rating and review tools is creating new avenues for market expansion.

From a regional perspective, North America continues to dominate the Ecommerce Rating and Review Tools market, driven by the high concentration of ecommerce giants and tech-savvy consumers. However, Asia Pacific is expected to exhibit the highest growth rate during the forecast period. The rapid growth of the ecommerce sector in countries like China and India, coupled with increasing internet penetration and smartphone usage, is creating significant opportunities for market players in this region. Additionally, favorable government policies promoting digital commerce further bolster market growth in the Asia Pacific.

Component Analysis

The Ecommerce Rating and Review Tools market can be segmented by component into software and services. The software segment encompasses the actual tools and platforms that enable businesses to collect, manage, and analyze customer reviews and ratings. This segment dominates the market due to the continuous advancements in software development, facilitating more intuitive and feature-rich applications. These software solutions often come with customizable dashboards, real-time analytics, and integration capabilities with other ecommerce platforms, making them indispensable for modern businesses.

Within the software segment, cloud-based solutions are gaining more traction over on-premises solutions. The flexibility, scalability, and cost-effectiveness offered by cloud-based tools are driving their adoption among businesses of all sizes. These tools can be easily updated and maintained by the service providers, reducing the IT burden on businesses. Furthermore, cloud-based solutions support remote access, allowing businesses to monitor and manage customer feedback from any location, which is particularly advantageous for enterprises with global operations.

The services segment mainly includes consulting, implementation, and maintenance services offered by vendors to help businesses maximize the utility of their rating and review tools. These services are crucial for businesses lacking the necessary in-house expertise or resources to effectively deploy and manage these tools. Consulting services help in identifying the right tools based on business needs, while implementation services ensure smooth integration with existing systems. Maintenance services provide ongoing support and updates, ensuring that the tools remain effective and secure.

The customer review marketing market, valued at $1340.9 million in 2025, is poised for significant growth. This expansion is driven by several key factors. The increasing reliance on online reviews for purchase decisions by consumers fuels demand for effective review marketing strategies. Businesses across all sectors, especially e-commerce giants like Amazon and Alibaba, recognize the crucial role of positive online reviews in brand building, customer acquisition, and sales conversion. The market’s segmentation, encompassing online and offline review marketing for both physical and virtual products, presents diverse opportunities for specialized service providers. Furthermore, technological advancements enabling automated review generation and analysis, along with improved sentiment analysis tools, are enhancing market efficiency and fueling adoption. Growth is also observed across diverse geographical regions, with North America and Asia-Pacific expected to be major contributors due to high internet penetration and e-commerce maturity. However, the market faces certain challenges. The proliferation of fake reviews poses a significant threat, eroding consumer trust and necessitating robust verification mechanisms. Moreover, managing and responding to negative reviews effectively requires significant resources and expertise, posing a barrier for smaller businesses. Maintaining data privacy and complying with evolving regulations around review collection and usage is another crucial consideration for companies operating in this space. Despite these hurdles, the overall market trajectory indicates robust growth, propelled by the increasing importance of online reputation management and the continued expansion of e-commerce globally. The competitive landscape, featuring both established players and emerging service providers, suggests a dynamic environment with opportunities for both large corporations and specialized niche players.

This dataset features consumer reviews about products and services of leading online marketplaces. It's structured to reveal unfiltered product and service experiences. From delivery issues to satisfaction highlights, it reflects what real customers say in their own words — empowering data-driven feedback systems.

Data includes:

-Free-form review text from buyers about global e-commerce platforms -Tagged themes (shipping, quality, returns, pricing, service interaction) -Platform identifier (e.g., Amazon, eBay, Walmart – when available) -Sentiment classification and user tone patterns -Metadata such as review length, category, and product/service type

The list may vary based on the industry and can be customized as per your request.

Use this dataset to:

-Analyze common customer feedback themes by product or category -Train feedback recognition models for product QA or escalation detection -Develop AI tools for review clustering, summarization, or rating prediction -Track sentiment shifts on third-party platforms -Identify pain points affecting buyer trust and product reputation

With millions of records and structured insight fields, this dataset helps companies scale customer understanding and automate product intelligence pipelines across marketplace ecosystems.

The global E-commerce Rating and Review Tools market size was valued at USD XXX million in 2025 and is projected to reach USD XXX million by 2033, exhibiting a CAGR of XX% during the forecast period. The market growth is attributed to the rising surge of online shopping, increasing consumer reliance on online reviews before making purchase decisions, and growing adoption of e-commerce platforms by businesses. The growing trend of social media and influencer marketing is also contributing to the market growth, as consumers are increasingly seeking recommendations and reviews from trusted sources. The market is segmented based on Type (Cloud-Based, On-Premises) and Application (Large Enterprises, SMEs). The cloud-based segment held a larger market share in 2025 and is anticipated to maintain its dominance throughout the forecast period, owing to its flexibility, scalability, and cost-effectiveness. Moreover, the large enterprises segment is expected to account for a dominant share of the market due to their extensive use of e-commerce platforms and the resources to invest in advanced rating and review tools. North America and Europe are expected to hold significant market shares, while Asia Pacific is projected to witness the fastest growth during the forecast period, driven by the rapid adoption of e-commerce and the growing number of online shoppers in the region.

In 2021, many online shoppers in the United Kingdom (UK) considered what previous buyers had to say about products before purchasing the items themselves. Approximately **** in *** UK consumers stated they would check online reviews before buying from a particular business. Even more shoppers said they often avoid enterprises with a rating lower than four.

The global e-commerce rating and review tools market is experiencing robust growth, driven by the increasing adoption of online shopping and the crucial role customer reviews play in purchase decisions. The market size in 2025 is estimated at $2.5 billion, demonstrating significant expansion from its historical performance. A Compound Annual Growth Rate (CAGR) of 15% is projected from 2025 to 2033, indicating a substantial increase in market value to approximately $7 billion by 2033. This growth is fueled by several key factors, including the rising preference for online shopping across demographics, the increasing importance of social proof and online reputation management for businesses, and the continuous development of sophisticated review management platforms offering advanced analytics and integration capabilities. The market is segmented by deployment (cloud-based and on-premises) and application (large enterprises and SMEs), with cloud-based solutions dominating due to their scalability and cost-effectiveness. Key players like Trustpilot, Yotpo, Bazaarvoice, Power Reviews, and Feefo are actively shaping the market landscape through product innovation and strategic partnerships. Geographic expansion is also a significant factor, with North America and Europe currently holding the largest market share, but Asia-Pacific exhibiting strong growth potential due to the rapid rise of e-commerce in emerging economies. While the market faces challenges such as the need for robust fraud detection mechanisms to maintain review authenticity and concerns regarding data privacy, the overall outlook remains positive. The increasing demand for personalized customer experiences and the growing use of AI and machine learning in review analysis are expected to further drive market expansion. Businesses are increasingly recognizing the value of effectively managing online reviews, and as a result, they are investing heavily in these tools to improve customer satisfaction, enhance brand reputation, and ultimately, boost sales conversions. The continued integration of review tools with other e-commerce platforms and marketing automation systems will further contribute to market growth in the coming years.

Company Reviews Ratings Market Outlook

The global market size for company reviews and ratings was valued at approximately $2.8 billion in 2023, and it is projected to grow to $5.6 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 8.1%. This growth is primarily driven by the increasing reliance on digital platforms for consumer decisions and the rising importance of online reputation management for businesses.

One of the major growth factors for the company reviews and ratings market is the surge in internet penetration and the proliferation of smartphones globally. As more consumers access the internet, the volume of online reviews and ratings is expected to increase, thereby driving market growth. Consumers today heavily rely on peer reviews and ratings before making purchasing decisions. This trend is particularly strong among millennials and Gen Z, who prefer to trust user-generated content over traditional advertising. Consequently, businesses are increasingly recognizing the need to manage their online reputation proactively.

Another significant factor contributing to the market's expansion is the growing importance of social media platforms in influencing customer perceptions. Social media has become a crucial channel for customers to voice their opinions and experiences. Positive reviews and ratings on these platforms can significantly enhance a company's brand image, while negative feedback can have the opposite effect. Therefore, businesses are investing heavily in monitoring and managing their social media presence, which in turn is propelling the demand for review and rating platforms.

The integration of advanced technologies such as Artificial Intelligence (AI) and Machine Learning (ML) into review platforms is also playing a pivotal role in market growth. These technologies enable more sophisticated analysis of customer feedback, allowing businesses to gain deeper insights into consumer sentiment and behavior. For instance, sentiment analysis tools can process large volumes of reviews to identify patterns and trends, providing valuable data that can inform business strategies. The adoption of AI and ML is expected to continue to rise, further boosting the market.

The Peer Review System is becoming increasingly vital in the realm of online reviews and ratings. This system allows for a more structured and reliable method of gathering feedback, as it involves a process where reviews are evaluated by other users before being published. This not only enhances the credibility of the reviews but also ensures that the feedback provided is constructive and useful for both consumers and businesses. By implementing a Peer Review System, platforms can significantly reduce the incidence of fake or biased reviews, thereby maintaining the integrity and trustworthiness of their service. As more businesses recognize the value of authentic feedback, the adoption of peer review mechanisms is expected to rise, contributing to the overall growth of the review and ratings market.

Regionally, North America currently holds the largest market share, owing to the high adoption rate of digital technologies and the presence of numerous review platforms. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. This can be attributed to the rapid digital transformation in countries like China and India, coupled with the increasing number of internet users in these regions. As a result, there is a growing demand for online review and rating platforms, which is likely to drive market growth in Asia Pacific.

Platform Type Analysis

The company reviews and ratings market is segmented into web-based and mobile-based platforms. Web-based platforms currently dominate the market, primarily because they offer a more comprehensive and detailed interface for both reviewers and businesses. These platforms often provide various tools for businesses to manage their reviews, respond to customer feedback, and analyze data. The robust functionality and flexibility of web-based platforms make them the preferred choice for many businesses, particularly larger enterprises that require detailed analytics and reporting capabilities.

However, mobile-based platforms are gaining significant traction, driven by the increasing use of smartphones and the convenience they offer to users. Mobile-based review platforms allow consumers to leave reviews and ratings on-the-go, mak

Introduction

Online Review Statistics:Â In today's digital marketplace, Online reviews have become a pivotal factor in consumer decision-making. A significant 95% of consumers read online reviews before making a purchase, and 93% report that these reviews influence their buying decisions. Notably, 49% of consumers trust online reviews as much as personal recommendations. The impact of reviews extends to business performance; for instance, a one-star increase in a restaurant's rating can boost revenue by 5% to 9%.

Moreover, products with five or more reviews are 270% more likely to be purchased compared to those without reviews. However, the prevalence of fake reviews remains a concern, with 54% of consumers unwilling to buy a product if they detect fraudulent reviews. These statistics underscore the profound influence of online reviews on consumer behavior and the importance for businesses to maintain authentic and positive review profiles.

Statistics show that online reviews have become a powerful force in shaping consumer behavior. This Online Review of Statistics includes several statistical analyses of current trends in 2024 and 2025 and will guide you effectively. Let's dive into some eye-opening stats to see just how much.

A 2021 survey revealed that 27 percent of consumers worldwide used online reviews and ratings regularly in order to help make purchase decisions. Indonesian consumers were most likely to use online reviews and ratings to help with their purchase decisions, with 50 percent of respondents reporting so.

The global e-commerce rating and review tools market is experiencing robust growth, driven by the increasing importance of online customer reviews in influencing purchasing decisions. The market size in 2025 is estimated at $2.5 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This signifies a substantial expansion of the market to an estimated $7.8 billion by 2033. Several factors contribute to this growth, including the rising adoption of e-commerce globally, the increasing preference for online shopping, and the growing demand for transparent and authentic product information. The shift towards cloud-based solutions is also a key driver, offering businesses scalability, flexibility, and cost-effectiveness. Large enterprises are the major adopters currently, but the SME segment is showing significant growth potential due to increasing affordability and ease of implementation of these tools. Market segmentation reveals a strong preference for cloud-based solutions over on-premises deployments. While large enterprises dominate the current market share, the SME segment is expected to experience faster growth in the forecast period. Key players like Trustpilot, Yotpo, Bazaarvoice, Power Reviews, and Feefo are actively shaping the competitive landscape through continuous innovation and strategic acquisitions. Geographic analysis indicates strong growth across all regions, with North America and Europe currently holding significant market shares, but rapidly expanding markets in Asia Pacific and other emerging economies are expected to become major contributors to overall market growth in the coming years. Despite the positive growth trajectory, challenges such as managing fake reviews and ensuring data privacy remain potential restraints to the market's overall expansion.

Product Review Datasets: Uncover user sentiment

Harness the power of Product Review Datasets to understand user sentiment and insights deeply. These datasets are designed to elevate your brand and product feature analysis, help you evaluate your competitive stance, and assess investment risks.

Data sources:

• Trustpilot: datasets encompassing general consumer reviews and ratings across various businesses, products, and services.

Leave the data collection challenges to us and dive straight into market insights with clean, structured, and actionable data, including:

• Product name;
• Product category;
• Number of ratings;
• Ratings average;
• Review title;
• Review body;

Choose from multiple data delivery options to suit your needs:

1. Receive data in easy-to-read formats like spreadsheets or structured JSON files.
2. Select your preferred data storage solutions, including SFTP, Webhooks, Google Cloud Storage, AWS S3, and Microsoft Azure Storage.
3. Tailor data delivery frequencies, whether on-demand or per your agreed schedule.

Why choose Oxylabs?

1. Fresh and accurate data: Access organized, structured, and comprehensive data collected by our leading web scraping professionals.

2. Time and resource savings: Concentrate on your core business goals while we efficiently handle the data extraction process at an affordable cost.

3. Adaptable solutions: Share your specific data requirements, and we'll craft a customized data collection approach to meet your objectives.

4. Legal compliance: Partner with a trusted leader in ethical data collection. Oxylabs is a founding member of the Ethical Web Data Collection Initiative, aligning with GDPR and CCPA standards.

Pricing Options:

Standard Datasets: choose from various ready-to-use datasets with standardized data schemas, priced from $1,000/month.

Custom Datasets: Tailor datasets from any public web domain to your unique business needs. Contact our sales team for custom pricing.

Experience a seamless journey with Oxylabs:

• Understanding your data needs: We work closely to understand your business nature and daily operations, defining your unique data requirements.
• Developing a customized solution: Our experts create a custom framework to extract public data using our in-house web scraping infrastructure.
• Delivering data sample: We provide a sample for your feedback on data quality and the entire delivery process.
• Continuous data delivery: We continuously collect public data and deliver custom datasets per the agreed frequency.

Join the ranks of satisfied customers who appreciate our meticulous attention to detail and personalized support. Experience the power of Product Review Datasets today to uncover valuable insights and enhance decision-making.

During a December 2020 survey of U.S. online customers, 94 percent of respondents stated that positive reviews made them more likely to use a business. On the other hand, 92 percent said that negative reviews made them less likely to patronize a local business.

Context

Welcome. This is a Women’s Clothing E-Commerce dataset revolving around the reviews written by customers. Its nine supportive features offer a great environment to parse out the text through its multiple dimensions. Because this is real commercial data, it has been anonymized, and references to the company in the review text and body have been replaced with “retailer”.

Content

This dataset includes 23486 rows and 10 feature variables. Each row corresponds to a customer review, and includes the variables:

• Clothing ID: Integer Categorical variable that refers to the specific piece being reviewed.
• Age: Positive Integer variable of the reviewers age.
• Title: String variable for the title of the review.
• Review Text: String variable for the review body.
• Rating: Positive Ordinal Integer variable for the product score granted by the customer from 1 Worst, to 5 Best.
• Recommended IND: Binary variable stating where the customer recommends the product where 1 is recommended, 0 is not recommended.
• Positive Feedback Count: Positive Integer documenting the number of other customers who found this review positive.
• Division Name: Categorical name of the product high level division.
• Department Name: Categorical name of the product department name.
• Class Name: Categorical name of the product class name.

Acknowledgements

Anonymous but real source

Inspiration

I look forward to come quality NLP! There is also some great opportunities for feature engineering, and multivariate analysis.

Publications

Statistical Analysis on E-Commerce Reviews, with Sentiment Classification using Bidirectional Recurrent Neural Network
by Abien Fred Agarap - Github