{"id":8348,"date":"2025-11-28T14:08:49","date_gmt":"2025-11-28T14:08:49","guid":{"rendered":"https:\/\/paybis.com\/blog\/?p=8348"},"modified":"2025-11-28T14:08:50","modified_gmt":"2025-11-28T14:08:50","slug":"how-users-discover-paybis","status":"publish","type":"post","link":"https:\/\/paybis.com\/blog\/how-users-discover-paybis\/","title":{"rendered":"How Users Discover Paybis: New Insights From Our Global User Research"},"content":{"rendered":"\n

Where do people actually start their crypto journey?<\/p>\n\n\n\n

Do they click on an ad, search for answers, or simply ask a friend?<\/p>\n\n\n\n

Understanding how<\/em> users find us is more than a marketing metric, it\u2019s a window into what people need to feel safe and confident when dealing with money online. If we know which discovery paths feel trustworthy and which ones create hesitation, we can remove friction earlier, support newcomers better, and win loyalty long before they create an account.<\/p>\n\n\n

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To learn directly from our community, we surveyed hundreds of Paybis users across Europe, North America, and beyond. The report, \u201cUnderstanding Users: Profiles and Motivations,\u201d<\/strong> explores behaviour, experience levels, and sentiment. One of the clearest messages comes from how users first discovered Paybis, the very first step that can either build trust or break it.<\/p>\n <\/div>\r<\/div>\n\n\n

The results show how recommendations, search behaviour, and community conversations shape who enters crypto\u2026 and who sticks with it.<\/p>\n\n\n\n

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<\/a>The power of people: Referrals lead the way<\/h2>\n\n\n\n

The single biggest driver of new user acquisition for Paybis is word of mouth. Referrals from friends, family members, or colleagues account for 28.12 percent of all discovery sources. In crypto, where uncertainty is high and outcomes matter, people tend to trust the advice of someone who has already succeeded.<\/p>\n\n\n\n

This result echoes another important theme in our broader research. Many newcomers do not feel comfortable relying solely on online information or promotional claims. They need someone they know to confirm that the platform is safe, transparent, and reliable before they commit real money. Personal networks often become the first point of verification.<\/p>\n\n\n\n

A recommendation from a friend may look simple, but it reflects the whole experience behind it. If a payout arrives on time, if the support team resolves an issue honestly, if the interface feels straightforward on the first try, users will share that story. Growth happens when confidence is earned one individual at a time.<\/p>\n\n\n\n

<\/a>Search engine is the new word-of-mouth\u2026Almost<\/h2>\n\n\n\n

Search is the second largest pathway into Paybis, and it sits only slightly behind referrals. A total of 27.07 percent of users first discovered Paybis through Google, Bing, or other search engines. Some were already looking for a platform to buy or withdraw cryptocurrency. Others arrived while researching fees, safety questions, or general crypto topics.<\/p>\n\n\n\n

The behaviour behind this is clear. People want to check things for themselves. They compare services, look for visible fee transparency, scan reviews, and read educational material to understand whether a platform can be trusted with their money. Independent validation matters, especially when stepping into an unfamiliar space.<\/p>\n\n\n\n

This is also where content and clarity become part of the product experience. Accurate information, helpful guides, and a trustworthy public presence are often the reassurance users need to move from research to action. Search and referrals together account for more than 55 percent of first-time visits, which confirms that user acquisition in crypto depends on proof.<\/p>\n\n\n\n

<\/a>Community influence: Present, but no longer decisive<\/h2>\n\n\n\n

Crypto communities remain an important space for discussion, education, and shared experiences. However, the study shows they contribute less to users\u2019 first encounters with Paybis compared to referrals and search. The distribution looks as follows:<\/p>\n\n\n\n