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Google Rich Snippets Update September 2019
Paid and Organic SEO
Google Rich Snippet update: What it means for businesses
On September 16th 2019, Google announced some important changes to the review Rich Snippet guidelines, which are outlined in this [Google Webmaster article]( If you're using our SEO Service Review TrustBoxes, or if you have marked up reviews using the Organization or LocalBusiness markup to get Rich Snippet stars in organic search results, this update affects the way your business appears in the search results — read on for more information.
boost ads performance with social proof
Social Proof
Social media agency PL&Partners show us how they boost ads performance with social proof
PL & Partners is a digital marketing agency that helps businesses grow through paid advertising on both Facebook and Instagram. Their team consists of performance-driven social media specialists that are passionate about their work and love to create great content for their clients. The social media agency specialises in Facebook and Instagram ads optimisation, and ensures that each one of their customers reaches their goals. To better understand how PL & Partners optimise their customers' ads, we talked to Marcin Gasienica, Senior Creative Product Specialist at PL & Partners, and discussed the challenges you can come across when creating ads that convert well.
the psychology behind trust signals - trustpilot
Social Proof
Why and how social proof influences consumers
When consumers think about buying a product or service, they don’t just consider ads, features, and benefits. They also strongly consider the social proof that reinforces those messages and claims. Social proof — reviews, social likes, online mentions, and testimonials for products, services, or brands — has a powerful psychological effect on customers. Because the feedback comes from other consumers, not the brand itself, the positive messaging surrounding a product or service can be perceived as more authentic and trustworthy. Consumers see social proof as an endorsement from their peers saying that the company, service, or product is great, and that the overall customer journey has satisfied previous shoppers. __So when customers see trust signals — visual representations of social proof such as badges, ratings, reviews, and logos — it understandably elicits a strong influence on shopping behaviour. __ According to our recent research, almost all consumers (98%) could identify at least one type of trust symbol that increased their likelihood to make a purchase. If brands want to effectively turn interested prospects into paying customers, they need to take advantage of external validation in order to influence potential customers, and understand how social proof impacts the way consumers make purchasing decisions. To find out exactly how social proof influences the purchasing process and which trust signals are the most important, we surveyed nearly 1,700 consumers across multiple regions (United States, United Kingdom, Australia, and many European countries) and generations (baby boomers, Gen Xers, millennials, and Gen Zers), and found that: - An average of sixty-six percent of customers said the presence of social proof increased their likelihood to purchase a product. - Positive star ratings and reviews were the most important trust symbol. Eighty-two percent said it made them more likely to make a purchase. - Positive star ratings and reviews on the homepage were the trust signals most likely to drive customers to make a purchase (86%). Positive star ratings and reviews on a product page were the second most likely, influencing 85% of customers. - Customers prefer different trust signals throughout the buying journey. Media mentions (52%) and endorsements from public figures (50%) were effective when customers performed initial online research, while testimonials (60%) and star ratings and reviews (50%) were effective when customers compared different retailers. Want to learn more? Let’s dive deeper into the research to see which signals are most important to consumers, and how the appearance of signals affects different demographics during the purchasing process.
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