The Try Guys launch 2nd Try streaming service to boost revenue
- The Try Guys launched a standalone streaming service called 2nd Try to reduce reliance on advertising revenue.
- In just three months, they are on track to achieve profitability, having gained over 8 million subscribers.
- This move reflects a growing trend among creators seeking more stable income sources beyond traditional ad models.
The Try Guys, a prominent YouTube creator group, have transitioned to a subscription-based model by launching their own streaming service, 2nd Try, to reduce dependence on advertising revenue. This move comes in response to the instability and unpredictability associated with ad-based income, as highlighted by co-founder Zach Kornfeld. The group has amassed over 8 million subscribers and 2.7 billion views on YouTube, and within three months of launching 2nd Try, they are on track to achieve profitability. The decision to create a standalone platform reflects a broader trend among creators seeking more reliable income sources. Many creators feel pressured to tailor their content to social media algorithms, which can compromise the quality of their work. By establishing a subscription service, The Try Guys aim to connect directly with their most dedicated fans, bypassing the algorithmic constraints of traditional platforms. Co-founder Keith Habersberger expressed satisfaction with the initial success of 2nd Try, emphasizing the importance of growth and learning from mistakes. This sentiment is echoed by industry leaders like Jack Conte, founder of Patreon, who noted that creators are increasingly looking for stable income alternatives. The shift to subscription models is seen as a way to foster creativity without the constant pressure of optimizing for engagement metrics. As the landscape of content creation evolves, The Try Guys' initiative may inspire other creators to explore similar paths, potentially reshaping the future of digital content monetization. Their experience underscores the need for sustainable revenue models in an industry often dictated by unpredictable algorithms.