At a Glance: This article will provide an understanding of customer analysis and the data and stats you can fetch through our panel via detailed reports.
Customer Analysis
What is Customer Analysis?
The Customer Analysis section in the Apptrove panel helps you dive deep into user-level data collected from app interactions. This tool allows you to understand your customer's behaviour, preferences, and the impact of your campaigns by offering granular insights into user profiles and their event activities.
By analyzing this data, you can:
Identify high-value users and their journey within the app.
Understand user behaviour patterns and segment users based on various attributes.
Optimize campaigns, retention strategies, and monetization efforts.
Track revenue-generating customers and the sources driving quality users.
Key Features of Customer Analysis
1. Grouping Data for Deeper Insights
The platform allows you to group your data based on:
Customer Identifiers: User ID, Name, Phone, Email
Engagement and Revenue Metrics: Events triggered, revenue generated, or any custom attribute captured during user activity.
This helps in segmenting users and identifying trends like your most engaged or highest revenue-generating customers.
2. Extensive Filter Options for Custom Reporting
You can refine your report using the following filter options:
Filter Type | Description |
Customer (User ID) | Filter by unique user IDs for user-specific insights |
Customer Name | Filter based on the name of the customer |
Customer (Phone) | Filter using the phone number of the user |
Customer (Email) | Filter by email addresses |
Date | Set specific time frames for your analysis |
Agency | Filter customers associated with specific agencies |
Partner | Segment users based on the partner who brought them |
Country / GEO | Analyze users based on geographic location |
Ad | Filter based on the ad creatives viewed or clicked |
Ad ID | Segment by ad IDs for granular campaign analysis |
Ad Set | Filter based on the ad set name |
Ad Set ID | Filter using ad set IDs |
Site ID | Analyze based on site IDs that triggered the events |
Campaign | Filter by campaign names |
Campaign ID | Segment by campaign IDs |
Channel | Filter based on traffic channels (e.g., organic, paid) |
Month | Group data based on the monthly time frame |
These filters empower you to fetch highly customized reports, making it easier to analyze specific segments or patterns.
3. Actionable Use Cases
Some examples of how you can leverage this data:
Identify high-value users based on revenue generation
Compare performance across agencies, partners, or campaigns
Create audience lists for re-engagement or lookalike campaigns
Understand country-level user behavior for localized marketing
Review campaign or ad set performance based on user actions
Why Use Customer Analysis?
This tool offers data-driven decision-making capabilities. By understanding your user base:
You can allocate budgets more effectively
Improve your user retention strategies
Optimize campaigns based on actual revenue-generating users
Strengthen your re-marketing efforts with relevant user segments
Broaden your knowledge:
We are delighted to have assembled a world-class team of experienced professionals who are ready to take care of your queries and answer any questions you may have.
Feel free to reach out to us at any time by emailing us at support@apptrove.com or by using the in-platform chat feature. We'd love to hear from you!
