The client sought to enhance fundraising operations through data-based personalization, advanced donor segmentation, and predictive analytics with their existing platforms. The key requirements included:
- Personalize donation ask amounts using data-driven recommendations to improve conversion rates.
- Enable dynamic donor segmentation based on their behavior, geography, device usage, and historical contribution patterns.
- Enhance donor retention and optimize fundraising outcomes through targeted strategies.
- Integrate advanced analytics capabilities with existing fundraising technology platforms and CRM systems to ensure operational efficiency.
- Enable predictive insights to forecast contributions and plan strategic campaigns.
Cybage implemented AI-driven fundraising intelligence leveraging machine learning solution, real-time personalization, and scalable cloud pipelines to enhance donor targeting and engagement.
- Our team developed ML-based donor segmentation using clustering models (K-Means, KNN) to identify high-value, potential, and at-risk donor groups.
- We enabled real-time dynamic donation ask generation by integrating predictive models with existing fundraising platforms to deliver personalized donation experiences.
- Our experts designed interactive analytics dashboards in Streamlit to analyze donor clusters based on frequency, value, and geography of the donor.
- We built scalable ML pipelines on AWS SageMaker for automated training, deployment, and model prediction for continuous optimization.
- We enhanced donor profiles by enriching data with geolocation APIs for improved targeting accuracy and to enable more precise segmentation strategies.
Cybage delivered actionable donor intelligence using large-scale data analysis, resulting in advanced segmentation and prediction for fundraising capabilities.
- Analyzed 11 donor datasets via Exploratory Data Analysis (EDA) to uncover behavioral and contribution insights.
- Created 160 distinct donor segments (70 unknown and 90 known), enabling precise targeting and personalization.
- Consolidated 500+ campaign forms to streamline fundraising data management.
- Identified 300K+ unique donors, profiled to strengthen donor intelligence.
- Processed 1.2M transactions to build robust predictive models for data-driven fundraising decisions.
