<aside> 💡 There are various filters that you can apply to different tabs to segment your data based on certain on-chain or off-chain behaviors. These filters are particularly useful if you want to investigate a specific campaign or a particular user group. You can combine multiple filters to target the exact users you want to analyze.

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• Date: This filter segments users and activity on your app based on the range you select. You could use this for weekly or monthly reporting.
• Wallet net worth: This filter segments users into groups based on the value of their holdings. You might use this filter to see how users with different levels of net worth are interacting with your app.
• Wallet age: This filter segments your users into groups based on their wallet age. You might use this filter to see how users with wallets that are 1-2 years old differ from those who are 2-3 years old regarding their behaviour on your app.
• Wallet activity: This filter segments your users into groups based on the number of transactions made by each wallet. You might use this filter to compare the behaviour of users with wallets that have made 100-1000 transactions to those with wallets that have made >1000 transactions.
• Campaign: Through the use of UTM tags, this filter lets you see which marketing campaigns are driving traffic or conversions. Users are segmented into groups based on the campaign that drove them to your app. You might use this filter to see how effective your campaigns are, as well as to compare the performance of different campaigns. This information can be used to optimize your campaigns for better performance and higher conversions.
• Source: Through the use of UTM tags, this filter allows you to see where users come from when they visit your app. Users are segmented into groups based on their attribution source, the source is the website or platform where the campaign with the UTM link originated. You might use this filter to compare the behaviour of users who come from different sources or to see how various sources are performing in terms of conversion rates.
• Medium: This filter allows you to segment users and activity on your app based on the marketing channel used to drive traffic or conversions. Users are segmented into groups based on the medium specified in the UTM link, such as organic search, paid search, email, or social media. You might use this filter to compare the behaviour of users who come from different marketing channels or to see how various channels are performing in terms of conversion rates. This information can be used to optimize your marketing strategies for better performance and higher conversions.
• Referrer: This filter allows you to see the website or source that referred users to your app. Users are segmented into groups based on the referrer. You might use this filter to see how users who were referred by different websites or sources are interacting with your app. If you find that a high percentage of users are coming from a particular website but are not converting to transactions, you could then change your messaging or tone of voice to be more suitable.
• Web Page: This filter allows you to select individual pages within your app that you want to gain more insight on. This is useful for understanding the behaviour of users on specific pages and to compare the performance of those pages. For example, if you wanted to see the page visits and conversion rate of a specific page, you can select that page in this filter. Additionally, you can use this filter to compare the performance of different pages and to see which pages are performing better. This information can be used to improve the messaging and design of underperforming pages.
• Chain: This filter allows you to segment users and activity on your app based on the blockchain they are using. This can be useful for understanding the behaviour of users on different blockchains, such as Ethereum or Polygon. You can use this filter to compare the behaviour of users on different blockchains and to see how they are interacting with your app. Additionally, if you are running campaigns on different blockchains, this filter will allow you to compare the performance of those campaigns across various blockchains.
• Button: This filter enables you to segment user activity on your app based on the buttons they click. By selecting a specific button, you can observe how users who interacted with that button behave differently from those who did not. This information can be used to optimize the design and messaging of buttons that are underperforming, or to gain insights into how users are interacting with specific features of your app.
• First Seen: is a filter that allows you to segment users based on the date they first interacted with your app or website. This filter allows you to choose a range of days, including <7 days, 8-15 days, 15-30 days, 30-90 days and >90 days. By using this filter, you can identify users who first interacted with your app or website during a the selected time period. This can help you identify key behaviours and optimize your marketing and product strategies accordingly.