Empowering D2C Brands with Advanced
CLTV Management and Data Analytics
- Industry
D2C businesses
- Region
India
- Time Frame
Des. 2023 - Ongoing
- Type
Data Analysis
Technology Stack
Node.js
D3.js
Libraries
Service Provided
Backend
Development
UI/UX
Design
QA Testing
Challenges
- The initial data representation using Chart.js was subpar and needed improvement.
- Issues were encountered while fetching and integrating data from the Shopify API into the backend database.
- Slow performance and page speed concerns affected user experience, possibly due to inefficient data handling.
- Problems with the caching system led to inefficiencies in data retrieval and system performance.
Solutions
- Replaced Chart.js with D3 libraries to enhance the graphical representation of data, ensuring a better UI.
- Improved the process of fetching and integrating data from the Shopify API into the backend database for consistency and reliability.
- Introduced comprehensive reporting capabilities, including purchase, sales, stock, and more.
- Enhanced performance by optimizing Node.js queries to streamline data retrieval and processing for better page speed.
- Rectified flaws in the caching system to ensure smoother data access, reducing load times and enhancing overall system performance.
- The transformation culminated in the development of an Analytics Dashboard, addressing complex data analysis requirements.
Final Outcome
Core Features of
CLTV Management
Software
Migration Heatmap
Visualize customer movement across various segments and stages, informing strategic planning and identifying churn risks.
Decile Analysis
Segment customers based on revenue size to unveil growth opportunities. Understand customer contributions and potential within each decile.
Cohort Analysis
Track customer cohorts over time to analyze behavior changes and identify trends. Evaluate lifetime value month-over-month for targeted interventions.
Opportunity Size Analysis
Gauge the potential and scale of untapped opportunities within your customer base. Prioritize strategies to capitalize on hidden growth areas.
Lifetime Value Calculation
Understand the long-term financial impact of each customer relationship by evaluating their historical interactions.
RFM Segmentation
Categorize customers based on Recency, Frequency, and Monetary value of their purchases. Develop targeted campaigns and engagement strategies based on these segments.
Color Palette
Iconography
Typography
Our Success Stories
Ecommerce
Clothing Web App
Education
Language Learning App
Transportation
Fleet Management Software
