Deep Dive
Why did Kaito choose Twitter as its primary platform for data collection?
Twitter was chosen because it is a public domain platform with high social data concentration, making it ideal for data platforms. Unlike private domains like Discord or Telegram, Twitter's social graph is clear, and engagement metrics are visible, which allows for better data weighting and analysis. Additionally, most marketing budgets in the crypto space are spent on Twitter, making it a hub for consensus and activity.
What are the two main reasons for Kaito's high pricing?
Kaito's high pricing is due to the cost of using Twitter's commercial API and regulatory limitations. The API costs increase linearly with usage, and there is a monthly call limit imposed by Twitter, which restricts the volume of data that can be processed. To maximize economic value within these constraints, Kaito focuses on high-value B2B clients.
How does Kaito's Yap activity create a flywheel effect?
Kaito's Yap activity leverages free KOL (Key Opinion Leader) engagement by allowing users to earn Yap points through social interactions. This creates a self-reinforcing cycle where more KOLs and users bind their accounts to Kaito, increasing its data assets. As more users and KOLs join, the platform becomes more attractive to B2B clients, further driving demand and supply in a positive feedback loop.
What challenges did Kaito face in productizing its data tools?
Kaito faced challenges in balancing between creating a profitable product and maintaining its utility. Initially, the focus was on alpha tools for internal use, but this approach limited scalability. Transitioning to a B2B model allowed Kaito to monetize its data effectively, but it required overcoming the limitations of Twitter's API and ensuring data accuracy through rigorous cleaning and weighting processes.
Why is data accuracy critical for Kaito's KOL mapping and marketing strategies?
Data accuracy is crucial because it ensures the reliability of KOL (Key Opinion Leader) rankings and marketing effectiveness. Kaito uses time-stamped data to validate the accuracy of KOL predictions and engagements. By weighting KOLs based on their historical performance, Kaito can provide project sponsors with precise insights into which KOLs are most effective for their campaigns, enhancing marketing ROI.
What strategic advantage does Kaito gain by binding KOL accounts to its platform?
By binding KOL accounts, Kaito gains ownership of valuable social data, reducing its dependency on Twitter's API. This strategic move allows Kaito to build a proprietary dataset, which enhances its market position and creates a competitive moat. Additionally, it enables Kaito to offer more accurate and comprehensive data services to its B2B clients, further solidifying its role as a key player in the crypto data space.
How does Kaito differentiate itself from competitors in the crypto data space?
Kaito differentiates itself through its focus on data accuracy, KOL mapping, and strategic use of Twitter's API. Unlike competitors, Kaito has developed a robust system for cleaning and weighting data, ensuring high reliability. Additionally, its innovative Yap activity and KOL binding strategy create a unique flywheel effect, driving both user engagement and B2B demand.
- 加密领域流量获取方式主要有投放和裂变两种
- 不同地区用户获取成本差异巨大，裂变效果也存在显著区别
- Twitter 和 YouTube 属于公域流量，Telegram 和 Discord 属于私域流量
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