Challenges
- Data Fragmentation: The client struggled with data being dispersed across multiple platforms, making it difficult to get a holistic view of influencer-driven traffic surges.
- Inefficiencies in Data Handling: Manually consolidating and analyzing data from Google Analytics, Amazon Statistics, and CreatorIQ was time-consuming and prone to errors.
- User-Friendliness: The solution needed to be accessible and manageable for non-technical users, allowing for easy store management and update scheduling.
Objectives
- Consolidate data from multiple platforms into one centralized system.
- Enable seamless tracking of influencer-driven traffic surges and their effect on e-commerce performance.
- Create an easy-to-use interface that automatically adds new stores and schedules data updates.
- Provide clients with more insightful and timely data analysis to optimize influencer marketing strategies.
Solution Approach
- Data Aggregation Strategy: We began by identifying the most essential data points across all platforms (Google Analytics, Amazon Statistics, CreatorIQ) and designed a script capable of automating the collection of these metrics. This script was optimized to ensure efficient data retrieval without overloading any platforms.
- Building a Centralized System: We developed a control panel where the aggregated data from various sources could be accessed in one place. This interface allowed the client to: view all key performance indicators (KPIs) related to traffic surges driven by influencers; add new stores or e-commerce accounts as needed; schedule automatic updates for fresh data collection at specific intervals.
- User-Centric Design: A key focus was designing the control panel to be intuitive and easy to use. The layout allowed non-technical users to access essential metrics quickly and manage the system without requiring technical support.
- Optimization & Automation: The scripts were further optimized to reduce processing time, ensuring efficient data updates. Automated scheduling allowed the client to receive updated reports daily, weekly, or based on custom triggers, eliminating manual effort.
- Training & Support: To ensure seamless adoption, we provided employee training to the client’s team. This included walkthroughs on how to use the control panel, manage new stores, and interpret the analytics provided by the system.
Outcome
The project was successfully delivered within five weeks, covering analysis, planning, development, optimization, and training phases. As a result of the new system:
- The client reduced the time spent on data collection and analysis by over 60%.
- They gained real-time insights into the performance of influencer campaigns, allowing for quicker optimization of marketing strategies.
- The user-friendly interface enabled employees to independently manage and schedule updates, freeing up valuable resources for other tasks.
The Gig Agency now has a streamlined process for tracking, analyzing, and optimizing influencer-driven traffic surges for its e-commerce clients, positioning it as a more data-driven partner for businesses leveraging social media influencers.
