Word of mouth remains one of marketing’s most trusted influences. Research has linked recommendations to 20% to 50% of purchasing decisions, while recent U.S. review research shows that 93% of consumers have purchased after reading reviews. The figures below separate personal recommendations, social recommendations, online reviews, geography, and business response behavior so the numbers retain their original context.
Contents
- Trust and reach of personal recommendations
- Word of mouth across the purchase journey
- Geography and category differences
- Online reviews as digital word of mouth
- Reviews and recommendations driving action
- Operational signals that amplify or damage word of mouth
Trust and reach of personal recommendations
Personal recommendations have ranked strongly against other advertising channels in the cited Nielsen research. In Q1 2013, 84% of global online respondents completely or somewhat trusted recommendations from people they knew. Nielsen’s earlier comparison survey in 2007 reported 78% trust for the same type of recommendation. These are measurements from different periods, so they should not be treated as a single continuous trend.
The regional results from Q1 2013 were also different:
- Asia-Pacific: 85% trusted recommendations from people they knew.
- Latin America: 87% trusted them.
- North America: 82% trusted them.
Nielsen’s 2021 research reported that 88% of global respondents trusted recommendations from people they knew more than any other advertising channel. That result comes from a later study and should be read as its own measurement, not as a direct update of the 2013 survey.
Digital opinions were trusted less than personal recommendations in the Nielsen comparisons. In Q1 2013, 68% of global online respondents trusted consumer opinions posted online, compared with 61% in the earlier 2007 comparison survey. The distinction matters: a review is digital word of mouth, but a review does not necessarily carry the same relationship-based trust as a recommendation from someone known personally.
Sources: Global Trust in Advertising and Brand Messages and Beyond martech: building trust with consumers and engaging where sentiment is high.
Word of mouth across the purchase journey
McKinsey reported in 2010 that word of mouth influenced 20% to 50% of purchasing decisions. Its effect was stronger for first-time purchases and relatively expensive purchases, where uncertainty and perceived risk can make another person’s experience more useful. The same research found that word of mouth was the only factor among the three biggest consumer influencers at every stage of the decision journey.
The potential market effect could be positive or negative. In the mobile-phone category, positive word-of-mouth pass-on rates could increase market share by as much as 10% over two years, all else equal. Negative pass-on rates could reduce market share by as much as 20% over two years, all else equal. These are modeled category findings from the cited research, not a universal forecast for every market.
Not every recommendation has the same force. A high-impact recommendation from a trusted friend with a relevant message was up to 50 times more likely to trigger a purchase than a low-impact recommendation. Experiential word of mouth typically accounted for 50% to 80% of word-of-mouth activity in a product category, emphasizing the role of customers’ actual experiences.
The 2010 McKinsey research also identified a smaller group with disproportionate influence. About 8% to 10% of consumers were classified as influentials because of their trust and competence. They generated about three times more word-of-mouth messages than noninfluentials, and each message from an influential consumer had about four times more impact on a recipient’s purchasing decision than a noninfluential’s message.
Research covering 30 product categories found that social recommendations induced an average of 26% of purchases during 2013–2014. Roughly two-thirds of that social-recommendation impact was direct at the point of purchase. The measure captures social recommendations in that study’s categories and period; it does not mean that 26% of all purchases in every market come from social recommendations.
More recently, research reported in 2024 found that referred customers referred 30% to 57% more new customers than other customers. The result describes the reported referral research and should not be generalized to every referral program.
Source: A new way to measure word-of-mouth marketing, Getting a sharper picture of social media’s influence, and Research: Customer Referrals Are Contagious.
Geography and category differences
Word of mouth does not have a single global conversion pattern. In research covering 2010–2011, roughly 30% to 40% of surveyed food-and-beverage consumers in the United Kingdom and United States received friend-or-family recommendations before purchasing. More than 70% of surveyed Chinese food-and-beverage consumers received such recommendations, while the figure for surveyed Egyptian food-and-beverage consumers was 90%.
The same research showed category-specific signals in China. Sixty-four percent of surveyed Chinese consumers said they would consider friend-and-family recommendations for moisturizer. More than 60% of Chinese auto purchasers in the cited research were buying their first car, and 30% to 40% of Chinese laptop purchasers were buying their first laptop. Those purchase situations help explain why the relevance of advice can vary by category and buying experience.
Credibility also differed by channel. Among surveyed Chinese consumers, 93% considered recommendations from friends and family credible, compared with 53% who found online recommendations credible. These percentages describe the cited survey population and 2010–2011 measurement period; they are not current global benchmarks.
| Measure | Result | Scope and period |
|---|---|---|
| Food-and-beverage consumers receiving friend-or-family recommendations in the U.K. and U.S. | 30%–40% | Surveyed consumers, 2010–2011 |
| Food-and-beverage consumers receiving friend-or-family recommendations in China | More than 70% | Surveyed consumers, 2010–2011 |
| Food-and-beverage consumers receiving friend-or-family recommendations in Egypt | 90% | Surveyed consumers, 2010–2011 |
| Chinese consumers considering friend-and-family recommendations for moisturizer | 64% | Surveyed consumers, 2010–2011 |
| Chinese consumers considering friends-and-family recommendations credible | 93% | Surveyed consumers, 2010–2011 |
| Chinese consumers finding online recommendations credible | 53% | Surveyed consumers, 2010–2011 |
Source: Building brands in emerging markets.
Online reviews as digital word of mouth
BrightLocal’s 2025 survey of U.S. consumers, published in 2026, shows how extensively reviews now participate in local-business decisions. Ninety-seven percent of U.S. consumers read reviews for local businesses, and 41% always read reviews when browsing for businesses. The average U.S. consumer used six different review sites when choosing businesses.
Freshness and volume were important filters. Forty-seven percent of U.S. consumers would not use a business with fewer than 20 reviews. Seventy-four percent only cared about reviews written within the previous three months, and 31% would only use a business with at least a 4.5-star rating.
Review content mattered alongside the score. Fifty-six percent said consistent sentiment across multiple reviews was the most important review factor. Forty-six percent prioritized a written review describing a positive experience, 44% prioritized a review posted within the last month, and 42% prioritized a high star rating. A named reviewer mattered to 35%, while 26% prioritized a long and detailed review.
These findings suggest that review-based word of mouth is evaluated as a pattern rather than a single isolated comment. Recency, volume, rating, consistency, specificity, and reviewer identity each provide a different signal to a prospective customer.
Source: Local Consumer Review Survey 2026: Star Ratings Keep Rising, Old Reviews Don’t Cut It.
Reviews and recommendations driving action
The same 2025 U.S. survey found that 85% of consumers were more likely to use a business after reading positive reviews, while 77% were less likely to choose a business after reading negative reviews. The positive and negative figures are not mirror-image outcomes, but together they show that review sentiment can influence both selection and avoidance.
Positive reviews also led to measurable next steps. Fifty-four percent of U.S. consumers visited a business’s website after reading positive reviews, and 66% did further research. Thirty-four percent were ready to buy or make a booking. Thirty-seven percent read more reviews, while 24% visited the business’s social media channels.
Review exposure was also associated with completed purchasing. Ninety-three percent of U.S. consumers had made a purchase after reading reviews. Twenty-seven percent had spent more than $1,000 after reading reviews, and 13% had spent more than $5,000. The survey reports consumer-recalled behavior; these figures do not establish that reviews alone caused each purchase or spending level.
For marketers, the sequence is useful: a review can reinforce trust, prompt a website visit, lead to additional research, and support a purchase or booking. The measured actions should still be treated as separate percentages, because the research does not say that every respondent followed the full sequence.
Source: Local Consumer Review Survey 2026: Star Ratings Keep Rising, Old Reviews Don’t Cut It.
Operational signals that amplify or damage word of mouth
How a business handles reviews becomes part of the public recommendation environment. Eighty percent of U.S. consumers were likely to use a business that responded to every review. By contrast, 42% were unlikely to use a business that ignored its reviews entirely, and 50% were unlikely to choose a business that used templated or generic review responses.
Expectations were widespread. Eighty-nine percent of U.S. consumers expected business owners to respond to reviews. Nineteen percent expected a same-day response, while 81% expected a response within a week. These expectations make response coverage and timing visible parts of customer experience, rather than only internal service metrics.
Asking can also affect the supply of digital word of mouth. Eighty-three percent of U.S. consumers who were asked to leave a review went on to leave one. That result supports a clear distinction between requesting honest feedback and manufacturing praise: 97% of U.S. consumers thought businesses should face punishment for fake reviews.
The practical signal is not simply “get more reviews.” The cited numbers point to a broader operating standard: maintain a credible volume of recent feedback, respond to reviews, avoid generic replies, and protect authenticity. The BrightLocal results are from a 2025 U.S. consumer survey published in 2026, so they should not be presented as universal behavior in every country or period.
Source: Local Consumer Review Survey 2026: Star Ratings Keep Rising, Old Reviews Don’t Cut It.