Filters

Filters help you sort and understand your data better. You can use them to look closely at certain activities or to learn more about a specific group of users. If you want to focus on a particular marketing effort or a set of users, you can mix and match these filters to get just the information you need. This makes it easier to make good decisions based on clear, targeted data.

Time Period

Segment data within a custom date range for timely analytics, such as weekly or monthly reporting, helping to track trends and performance over specific intervals.

Cohort

Select and analyze user groups defined by shared characteristics or behaviours to understand specific segments of your audience better.

Activity Filters (First Active, Last Active, Last Transacted)

Examine user engagement by differentiating users based on when they first engaged, their recent activity, or their last transaction, thus highlighting user retention and churn rates.

Total Wallet Transacted Value

Focus on users by the financial magnitude of their transactions, which is useful for targeting high-value users or understanding spending patterns.

Contract Functions and Custom Events

Dive into the specifics of user interactions with your app by the functions they execute or custom events, providing insights into user preferences and app functionality.

By using filters strategically can lead to more targeted analyses and personalized user engagement strategies. By adjusting these parameters, you can refine your focus on the metrics that truly matter for your objectives, ensuring that you're gathering data and extracting meaningful insights that inform better decision-making. For example:

• Assess the impact of specific events or promotions by looking at data before, during, and after the event.

• Tailor communication and offers to different user segments based on the value of their holdings, potentially increasing user engagement and loyalty.

• Customize user experience based on how long they have been with your platform, differentiating between newer users needing more guidance and established users responding better to loyalty rewards.

• Identify your most active users to reward their engagement or incentivize less active users to increase their interactions with your app.

• Evaluate the effectiveness of your marketing efforts by tracking which campaigns and sources are bringing in the most engaged and valuable users, thus optimizing marketing spend.

• Understand which channels and referring sites contribute most to user acquisition and conversions, enabling you to reinforce successful channels and improve or discontinue underperforming ones.

• Gain insights on how individual pages perform regarding user engagement and conversions, directing efforts to optimize content and layout to enhance the user experience.

• By understanding user behavior on different blockchains, you can fine-tune your Dapp's performance and marketing initiatives to cater to the preferences and needs of each blockchain user community.

• Observe how users engage with specific call-to-action buttons, offering insights into user preferences and guiding interface improvements to boost conversion rates.

• Identify recent acquisitions versus established users, enabling tailored strategies to enhance onboarding experiences or re-engage dormant users.

These filters enable you not only to observe but also to act upon the data, transforming it into actionable strategies that can drive growth, user satisfaction, and retention.