What’s Next?
- An email and phone call from one of our representatives.
- A time & cost estimation.
- An in-person meeting.
Project Overview: Our team undertook a project focused on optimizing mobile application analytics for our client, a mobile application developer seeking to promote their app. The objective was to provide comprehensive analytics on traffic sources, installation conversions, user gameplay metrics, and financial impact, enabling our client to make data-driven decisions and enhance app performance.
Client Profile: Our client, a mobile application developer, aimed to promote their app effectively and maximize user engagement and monetization opportunities. However, they faced challenges in obtaining comprehensive analytics and real-time insights into user behavior and campaign performance.
Client’s Request: Our client approached us with the following requirements:
Our analysis identified several pain points experienced by the client and the corresponding solutions implemented:
- Inadequate Traffic Source Analytics: Enhanced analytics tools for comprehensive tracking and analysis of traffic sources.
- Ineffective Bot Installation Detection: Implemented advanced algorithms for efficient bot detection and exclusion from analytics.
- Lack of Real-Time Analytics: Developed a real-time statistics dashboard for immediate access to comprehensive analytics.
- Fragmented Data Management: Streamlined data management processes for efficient aggregation and analysis.
- Limited Monetization Insights: Enhanced monetization analytics for deeper insights into revenue streams and profitability.
- Manual Data Processing: Automated data processing methods to reduce errors and delays in obtaining actionable insights.
To address the client's requirements, our team implemented the following solutions:
- Enhanced Traffic Source Analytics: Developed robust analytics tools to track and analyze traffic sources, providing insights into advertising campaign effectiveness and organic traffic performance.
- Efficient Bot Installation Detection: Implemented advanced algorithms to detect and exclude bot installations, ensuring accurate analytics and preventing incorrect payouts.
- Comprehensive Metrics Integration: Integrated gameplay metrics, such as in-game time, donations, and ad views, into the analytics dashboard for comprehensive insights into user behavior.
- Real-Time Statistics Dashboard: Developed a real-time statistics dashboard, providing clients with immediate access to comprehensive analytics for timely decision-making.
- Financial Impact Analysis: Conducted a thorough analysis of the financial impact of app performance, identifying opportunities to maximize revenue and optimize costs.
Client: Logistic company About project: The project entails the development of a CRM system to manage orders within a logistics company. The main goal is to streamline the delivery process from suppliers to wholesale buyers by consolidating goods from various suppliers into a single vehicle and delivering them wholesale to different buyers. This approach aims
VIEW DETAILSClient: Mobile app startup About the Project: CRM System for Workflow Management: The project involves a mobile application providing a service for quick photo processing for a small fee online. Orders made through the app are registered in the CRM system, where a senior manager selects an executor. The work schedules of all retouchers are
VIEW DETAILS