According to a survey conducted in January 2023, ** percent of consumers in the United States reported to always read online reviews of local businesses. Over ** percent said that they regularly read online reviews of local businesses and just two percent said that they never read online reviews.
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.
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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.
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 ** percent of shoppers leave online reviews after a purchase and ** percent of them read product reviews before shopping online. Reviews are less relevant in the in-store experience, as only ** percent of shoppers considered them before purchasing offline.
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.
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.
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Trustpilot Statistics: Trustpilot is an enormous online review platform that consumers turn to when they are contemplating a purchase in the hopes of finding reviews from fellow consumers. Trustpilot has become closer to being the most trusted name in online reviews in 2024, with millions of reviews written for thousands of businesses across the globe.
Here is an article that deeply investigates all the primary dimensions of Trustpilot statistics for the year 2024, covering user growth, impact on businesses, and performance.
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Yelp Statistics: Yelp is a popular online platform that helps users find local businesses based on reviews and ratings from other customers. In 2024, Yelp continues to hold a significant presence, particularly in the U.S., where most of its traffic and revenue are generated. Yelp offers both a website and a mobile app, making it easy for people to access business information and read reviews.
Businesses can also advertise on Yelp, using the platform to reach new customers and manage their online reputation. With its comprehensive review system, Yelp plays a vital role in connecting people with trusted local businesses. This article will help you understand Yelp's key statistics and trends, providing valuable insights for businesses aiming to optimize their presence on the platform.
OpenWeb Ninja's Product Data API provides Product Data, Product Reviews Data, Product Offers, sourced in real-time from Google Shopping - the largest product listings aggregate on the web, listing products from all publicly available e-commerce sites (Amazon, eBay, Walmart + many others).
The API covers more than 35 billion Product Data Listings, including Product Reviews and Product Offers across the web. The API provides over 40 product data points including prices, rating and reviews insights, product details and specs, typical price ranges, and more.
OpenWeb Ninja's Product Data common use cases: - Price Optimization & Price Comparison - Market Research & Competitive Analysis - Product Research & Trend Analysis - Customer Reviews Analysis
OpenWeb Ninja's Product Data Stats & Capabilities: - 35B+ Product Listings - 40+ data points per job listing - Global aggregate - Search by keyword or GTIN/EAN
According to a global 2021 report, out of 2.7 million online fake reviews that were detected and removed, 46 percent were five-star reviews. Additionally, almost a third of all fake reviews that were removed were one-star reviews, and eight percent were two-star.
Explore our online review survey for real experiences. Discover online review trends and statistics to make informed decisions and enhance consumer journey.
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.
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The Customer Review Management Software (CRMS) market has witnessed significant evolution over the past decade, driven by the increasing importance of online customer feedback in shaping brand reputation and consumer trust. As businesses strive to improve their online presence and engage with customers more effectiv
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Braintree Statistics: There are many other online payment platforms around the world. Braintree is also one of them. Around 9 years ago Braintree was taken over by PayPal therefore, it is now a PayPal payment platform. Braintree also offers the same kind of online payment services with some additional similar to many other platforms. In this Braintree Statistics, we will have a look at its meaning, features, some general statistics, and a comparison of the toughest competitor in the online payment platform Stripe vs Braintree. Key Braintree Statistics (Editor’s Choice) The platform supports more than 130 currencies. Braintree statistics show that it has around 17,681 unique domains. According to Braintree Statistics, Braintreegateway.com has around 99.72% of the organic traffic while only 0.28% is paid traffic. Braintree statistics show that Ukraine has 2.52% of the users with a surprisingly increasing usage rate of 354.1%. A user on average spends around 07:59 minutes on Braintree’s website. eCommerce and shopping websites have around 12.36% referral rate towards the Braintree website. The Braintree payment platform is available in more than 45 countries. According to the Braintree statistics, 78% of the people are likely to convert into a sale if they see any preferred payment option’s logo. In terms of leading countries, according to the Braintree Statistics, there are around 8,605 websites in the United States of America supporting the Braintree platform. Braintree has 45.16% female users and 54.84% male users.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Historical Dataset of Northern Star Online is provided by PublicSchoolReview and contain statistics on metrics:Total Classroom Teachers Trends Over Years (2008-2023)
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The online course platform market has emerged as a cornerstone of the modern educational landscape, driven by the need for flexible, accessible learning solutions. With a current market size estimated at USD 250 billion, this industry has seen remarkable growth over the last decade as both educators and learners rec
Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
This comprehensive synthetic dataset contains 2,514 authentic mobile app reviews spanning 40+ popular applications across 24 different languages, making it ideal for multilingual NLP, sentiment analysis, and cross-cultural user behavior research.
Column Name | Data Type | Description | Sample Values | Null Count |
---|---|---|---|---|
review_id | Integer | Unique identifier for each review | 1, 2, 3, ... | 0 |
user_id | String* | User identifier (should be integer) | "1967825", "9242600" | 0 |
app_name | String | Name of the mobile application | WhatsApp, Instagram, TikTok | 0 |
app_category | String | Application category | Social Networking, Entertainment | 0 |
review_text | String | Multilingual review content | "This app is amazing!" | 63 |
review_language | String | ISO language code | en, es, fr, zh, hi, ar | 0 |
rating | Mixed* | App rating (1.0-5.0, some as strings) | 4.5, "3.2", 1.1 | 38 |
review_date | DateTime | Timestamp of review submission | 2024-10-09 19:26:40 | 0 |
verified_purchase | Boolean | Purchase verification status | True, False | 0 |
device_type | String | Device platform | Android, iOS, iPad, Windows Phone | 0 |
num_helpful_votes | Mixed* | Helpfulness votes (some as strings) | 65, "209", 163 | 0 |
user_age | Float* | User age (should be integer) | 14.0, 18.0, 67.0 | 0 |
user_country | String | User's country | China, Germany, Nigeria | 50 |
user_gender | String | User gender | Male, Female, Non-binary, Prefer not to say | 88 |
app_version | String | Application version number | 1.4, v8.9, 2.8.37.5926 | 25 |
Note: Data types marked with asterisk require cleaning/conversion
The dataset includes reviews in 24 languages: - European: English (en), Spanish (es), French (fr), German (de), Italian (it), Russian (ru), Polish (pl), Dutch (nl), Swedish (sv), Danish (da), Norwegian (no), Finnish (fi) - Asian: Chinese (zh), Hindi (hi), Japanese (ja), Korean (ko), Thai (th), Vietnamese (vi), Indonesian (id), Malay (ms) - Other: Arabic (ar), Turkish (tr), Filipino (tl)
Reviews cover 18 distinct categories:
- Social Networking
- Entertainment
- Productivity
- Travel & Local
- Music & Audio
- Video Players & Editors
- Shopping
- Navigation
- Finance
- Communication
- Education
- Photography
- Dating
- Business
- Utilities
- Health & Fitness
- Games
- News & Magazines
40+ applications including: - Social: WhatsApp, Instagram, Facebook, Snapchat, TikTok, LinkedIn, Twitter, Reddit, Pinterest - Entertainment: YouTube, Netflix, Spotify - Productivity: Microsoft Office, Google Drive, Dropbox, OneDrive, Zoom, Discord - Travel: Uber, Lyft, Airbnb, Booking.com, Google Maps, Waze - Finance: PayPal, Venmo - Education: Duolingo, Khan Academy, Coursera, Udemy - Tools: Grammarly, Canva, Adobe Photoshop, VLC, MX Player
Reviews from 24 countries across all continents: - Asia: China, India, Japan, South Korea, Thailand, Vietnam, Indonesia, Malaysia, Philippines, Pakistan, Bangladesh - Europe: Germany, United Kingdom, France, Italy, Spain, Russia, Turkey, Poland - Americas: United States, Canada, Brazil, Mexico - Oceania: Australia - Africa: Nigeria
Intentional data challenges for learning:
- Missing Values: Strategic nulls in review_text (63), rating (38), user_country (50), user_gender (88), app_version (25)
- Data Type Issues:
- user_id stored as strings (should be integers)
- user_age as floats (should be integers)
- Some ratings as strings (should be floats)
- Some helpful_votes as strings (should be integers)
- Mixed Version Formats: "1.4", "v8.9", "2.8.37.5926", "14.1.60.318-beta"
This dataset is perfect for: - Multilingual NLP projects and sentiment analysis - Cross-cultural user behavior analysis - App store analytics and rating prediction - Data cleaning and preprocessing practice - Text classification across multiple languages - Time series analysis of app reviews - Geographic sentiment analysis - Data engineering pipeline development
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The Online Turbidity Sensors market is an integral segment of the broader water quality monitoring and management industry, primarily utilized in sectors such as wastewater treatment, drinking water quality, and industrial processes. These sensors play a crucial role in measuring the cloudiness or haziness of a liqu
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Following the recent national statistics review of tax credit statistics a summary of responses have been published on the HM Revenue & Customs (HMRC) website. There were almost 140 responses to the consultation and this initial report summarises the results from the user consultation established to identify the needs of customers as well as their feedback on the publications. The consultation ran from 23 May 2011 to 31 August 2011 and covered tax credit national statistics and official statistics publications using an online survey. HMRC is very grateful to all users who participated in the survey. A detailed report on the survey results and consultation will follow in the tax year 2012 to 2013.
According to a survey conducted in January 2023, ** percent of consumers in the United States reported to always read online reviews of local businesses. Over ** percent said that they regularly read online reviews of local businesses and just two percent said that they never read online reviews.