We believe that our concept is strongly innovative since it uses the latest development of new technology (artificial intelligence) to strongly improve a) the way in which organizations engage with their potential donors b) the future revenues of organizations that are willing to implement our solution.
The concept would be able to generate strong and sustainable future revenue growth for organizations worldwide. Our artificial intelligence should deliver an increase in redemption rate by +300% to +1200% (compared to manual segmentation based on trial and error or random extraction). Results will vary according to the quality and quantity of the organization's data.
By implementing GiveRank across organizations, we could unleash millions of euros of new revenues from untapped lead pools. Fundraisers would have a way to supplement the acquisition gap brought by COVID and the disruption of F2F. They would also create a new sustainable source of revenue for the future.
GiveRank it’s fully scalable, replicable, and can be easily implemented throughout different organizational sizes, languages, cultures, and geographies. Our algorithm dynamically adapts to understand the unique behavior of local users.
GiveRank has been already developed and tested extensively (in experimental settings only). Tracking and storing digital behavior data is a requirement to implement GiveRank and we know that not all NPOs are at that stage yet.
If some leads behavior has already been tracked by the organization, the NGO will be able to move forward with GiveRank in 3-4 months. If the organization has to start tracking leads behavior from scratch, GiveRank would need 10-12 months to be successfully implemented.