In 2021, Google's share of online reviews increased to 71 percent, up from 67 percent in 2020, indicating a rise in willingness from consumers to share their experiences and opinions online. Overall, Google is the platform and search engine on which most consumers leave reviews for local businesses.

A survey carried out in France between 2023 and 2024 showed that 28 percent of shoppers leave online reviews after a purchase and 62 percent of them read product reviews before shopping online. Reviews are less relevant in the in-store experience, as only 39 percent of shoppers considered them before purchasing offline.

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 nine in ten 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.

Consumer Ratings And Reviews Software Market size is growing at a moderate pace with substantial growth rates over the last few years and is estimated that the market will grow significantly in the forecasted period i.e. 2024 to 2031.

Global Consumer Ratings And Reviews Software Market Drivers

The market drivers for the Consumer Ratings And Reviews Software Market can be influenced by various factors. These may include:

A Growing Priority for Customer Experience: Companies are considering customer experience as a means of gaining a competitive edge. With the use of ratings and reviews software, businesses may better understand their customers’ needs, pinpoint areas for development, and raise customer satisfaction levels.
User-generated information is becoming more and more influential: Online reviews and ratings, for example, have a big influence on consumers’ decisions to buy. Companies monitor and utilise user-generated material for marketing and brand management through the use of rating and review software.
Demand for Social Proof and Trust-Building: In order to make well-informed purchasing decisions, consumers rely on peer reviews and ratings. Software with ratings and reviews enables companies to increase sales, establish credibility with potential clients, and provide social proof.
Importance of Reputation Management: It is imperative that organisations manage their internet reputations. By monitoring and swiftly responding to client input, ratings and reviews software helps organisations mitigate unfavourable reviews and improve their brand’s reputation.
Concentrate on Improving the Quality of Products and Services: Customer feedback gathered by rating and review software offers insightful data on the performance of products and services, allowing companies to pinpoint problems with quality and make the required adjustments.
Effect on SEO and Search Engine Rankings: Enhanced search engine exposure and rankings might result from positive reviews. Software for ratings and reviews assists companies in producing real user content that improves internet presence and SEO.
Rise of Digital and E-Commerce: As e-commerce and digital-commerce platforms expand, so does the need for ratings and reviews software to optimise online shopping experiences, handle consumer feedback, and boost conversions.
Integration with Customer Relationship Management (CRM) Systems: Companies can centralise customer data and use feedback into more comprehensive customer engagement plans by utilising integration capabilities with CRM systems.
Emphasise Making Decisions Based on Data: Software for ratings and reviews offers useful information and analytics that support data-driven decision-making in the areas of product development, customer support, and marketing.
Consumer Protection and Regulatory Compliance: Businesses must implement ratings and reviews software that guarantees compliance and protects consumer information in order to comply with regulations pertaining to consumer rights and data privacy.

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.

Explore our online review survey for real experiences. Discover online review trends and statistics to make informed decisions and enhance consumer journey.

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 70 percent of online shoppers typically read between one and six customer reviews before making a purchasing decision. Less than one in ten shoppers did not have a habit of reading customer reviews before buying.

• Don't worry about solving CAPTCHAs, rotating proxies or installing headless browsers
• No need to update scrapers with every minor or major website layout or design change

• Simple pricing, pay per successful result only. Say goodbye to being charged for failed requests.

• Filter results by number of reviews, date

• Review data includes meta data about customers such as avatar, location, profile url, etc.

• Get page meta data like product price information, rating distribution, etc.

The statistic shows the results of a survey among digital shoppers in the United States about the number of online reviews they expect that would make them trust a product. According to the source, most consumers in the 18 to 24 age group expected more than 200 reviews per product. The average number of expected reviews was 112. Overall, younger shoppers expected more reviews than older shoppers.

Use our Trustpilot dataset to monitor market sentiment and customer satisfaction trends. Access a comprehensive database of customer reviews and ratings for companies across various industries. Tailor your analysis with customized subsets of the data, or opt for the full dataset to gain deeper insights into consumer behavior and competitive benchmarking. The dataset includes all major data points: companies name companies location companies contact details companies rating reviewer names reviews date reviews rating and much more.

Abstract The growth of the Internet has enabled consumer-to-consumer interactions through online platforms where users share content and influence the purchase decisions of other consumers. The objective of this research is to identify the effect of perceived usefulness of online reviews on hotel booking intentions. The approach is quantitative, using a questionnaire to collect data from consumers who use online reviews before booking a hotel. The data were analyzed using structural equation modeling. The results showed the direct influence of perceived information usefulness on purchase intention, and the antecedent constructs— needs of information, information credibility, and information quality—had a positive and significant impact on perceived usefulness of online reviews. Comparing these results with research by Erkan and Evans (2016) conducted with UK consumers that use social media to decide about their purchases, in this study information credibility was more relevant than information quality, suggesting a more skeptical behavior of Brazilian consumers. These findings have implications for practitioners that manage the digital marketing of organizations inserted in this environment, mainly regarding the impact of credibility and quality of online reviews on hotel booking intentions, being this a practical contribution of the research.

Feedback And Reviews Management Software Market size was valued at USD 10.11 Billion in 2024 and is projected to reach USD 28.04 Billion by 2031, growing at a CAGR of 13.60% from 2024 to 2031.

Global Feedback And Reviews Management Software Market Drivers

client-Centric Business Models: In order to stand out in competitive marketplaces and foster client loyalty, businesses are placing a greater emphasis on customer pleasure. As a result of this change, there is an increasing need for systems that can efficiently gather and handle client input.

Real-Time Feedback: Businesses understand how critical it is to get real-time feedback in order to solve problems quickly and raise the calibre of their services. Real-time feedback collecting and analysis are made possible by feedback and reviews management software, which yields insights that may be put to use.

E-Commerce Expansion: As a result of the e-commerce platforms’ rapid expansion, there are now more online reviews and comments than ever before. Using advanced software solutions is necessary to manage this massive amount of data.

Influence on Purchase Decisions: Consumer purchase decisions are greatly influenced by online reviews. Adoption of specialised software is fueled by the necessity for businesses to actively manage and respond to reviews in order to maintain a favourable online reputation.

According to the findings of a U.S. survey from 2021, 22 percent of online shoppers expected to find 51 to 100 reviews when purchasing items online. One-fifth of surveyed consumers believed a product should have between 101 and 500 online reviews.

We developed a program conforming to crawler specifications to obtain online review datasets from TripAdvisor for 10 Chinese destination attractions popular with foreign tourists, including review text, review time, and so on. These data are used for scientific research and to explore changes in foreign tourists' perceptions of the image of Chinese destinations.

Research data used in the paper entitled "Interaction effects between online reviews and product characteristics on consumer’s trust" published in Revista de Administração Contemporânea (RAC).

Gain valuable customer feedback for specific locations with daily updated Google Reviews & Ratings data. Perfect for businesses looking to analyze sentiment, track performance, and benchmark against competitors.

This dataset provides comprehensive local business and point of interest (POI) data from Google Maps in real-time. It includes detailed business information such as addresses, websites, phone numbers, emails, ratings, reviews, business hours, and over 40 additional data points. Perfect for applications requiring local business data (b2b lead generation, b2b marketing), store locators, and business directories. The dataset is delivered in a JSON format via REST API.

HUD’s Environmental Review Records page houses environmental reviews made publicly available through the HUD Environmental Review Online System (HEROS). This includes environmental assessments, CEST reviews, and CEST reviews that converted to exempt. New or updated environmental reviews are posted between 8 AM and 10 PM ET Monday through Saturday.

Our dataset helps to uncover valuable insights and trends that shape markets, products, and consumer preferences worldwide.

1. Access a wide range of consumer reviews spanning diverse industries, products, and services, giving you massive data coverage on the consumer sentiment landscape.
2. Analyze ratings provided by millions of consumers, allowing you to assess the popularity, satisfaction levels, and performance of products and services.
3. Global Sentiment Insights to identify trends, sentiment shifts, and emerging market preferences.

InfoTrie Consumer Reviews Data is not just data; it's a window to know the target audience & make informed decisions, develop targeted strategies, and stay ahead of the competition.

Empower your market research, enhance your product development, and refine your marketing strategies with the invaluable insights offered by InfoTrie Consumer Reviews Data. Whether you're a business looking to understand customer preferences or a researcher aiming to uncover the latest trends, this dataset is your gateway to consumer sentiment intelligence.

Request access now and harness the power of consumer insights.

More information on : https://infotrie.com/e-commerce-analytics/

These datasets contain reviews from the Steam video game platform, and information about which games were bundled together.

Metadata includes

• reviews

• purchases, plays, recommends (likes)

• product bundles

• pricing information

Basic Statistics:

• Reviews: 7,793,069

• Users: 2,567,538

• Items: 15,474

• Bundles: 615