<aside> 💡 The overview tab provides quick insight into how users interact with your dApp, the demographic of those users, the conversion rate of your dApp and a breakdown of when your users were last active. Additionally, you can use the filters on the right to refine your insight.

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Using this widget you can easily see:

• Page Visits
• Unique Sessions
• Wallet Connects
• Transactions

The chart at the bottom, shows Page Visit, Wallet Connects, Transactions over your selected time period. Use this as an overview and to Identify trends or spikes in your dApps activity.

This next widget provides insight into your user demographic.

<aside> 💡 You can use filters to further refine your insight.

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Use this widget to quickly identify key characteristics that make up your user-base.

For example, seeing a low Median Net-worth, Wallet Age and Transactions could mean your users are inexperienced or are bots. Further analysis would be needed to determine which.

Next up is the Conversion Funnel.

Use this to identify how many visitors convert to transactions.

This allows you to understand how many users convert to a transaction, while being able identify potential areas of difficulty in the UX.

For example, If you notice that you're getting a lot of page visits but not many wallet connects or transactions, you might want to think about your messaging or the ‘connect wallet’ button positioning. Similarly, if you’re getting high page visits and wallet connects, you might want to think about the positioning of your transactions buttons, or you might need better documentation or messaging to clarify your offering.

This widget shows a breakdown of when users were Last Active.

Ideally you want to see higher percentages in the <7days and 8-15days, this way we know your users have been recently active.

<aside> 💡 Click or ⌘/CTRL click on any range to filter the page to that range.

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Filters

By using filters you can further segment your user-base. You have the ability to apply the following filters:

• Date: This filter segments users and activity on your app based on the range you select.
• Wallet net worth: This filter segments users into groups based on the value of their holdings.

• Wallet age: This filter segments your users into groups based on their wallet age.
• Wallet activity: This filter segments your users into groups based on the number of transactions made by each wallet.

Using a combination of filters allows you to be really specific with your segmentation. For example, you could filter for users with wallets that have a net worth of >$1m and are 2-3 years old. This could help you understand how high net worth users who have been in the space for a few years are interacting with your dApp.