Kitabisa achieves 99.9% email deliverability and increases individuals’ donations by 78% with Netcore’s segmentation and personalization

Company

Kitabisa is a leading crowdfunding platform based in Indonesia, dedicated to empowering positive change and social impact. From medical emergencies and disaster relief to educational initiatives and community projects, they serve as an altruistic bridge connecting those in need with donors through their website and app. Kitabisa was founded in 2013 and has become a trusted platform for donors and fundraisers, embodying transparency, security, and accountability.

Industry: Crowdfunding, Non-profit

Location: Indonesia

Category: Email, AI Raman engine

Solution used: Netcore’s AI-powered Segmentation and Personalization

Challenges

Kitabisa aimed to establish seamless communication across touchpoints,elevating the overall user experience. They needed a cohesive digital experience platform that could connect and resonate with diverse donors and fundraisers, each with unique preferences in contributing to charitable causes.

Primary challenges:

Increase awareness
Increase donations
Increase engagement

Solution

Netcore suggested that Kitabisa adopt automation-based segmentation,personalization, and targeting.

Utilizing Netcore’s segmentation capabilities with complex logic, Kitabisa crafted highly targeted campaigns that aligned with each donor’s background and preferences.

Kitabisa brought in personalization in emails, as suggested by Netcore, which fostered a more intimate connection via personalized communication.

Netcore recommended that Kitabisa deploy their AI-led automation to trigger focused emails based on user behavior, leading to higher engagement and conversion.

Kitabisa triggered emails, as per users’ donation preferences, to create and nurture a consistent donation habit using the auto-donate feature on their website/app.

Kitabisa increases their email deliverability by 99.9% and individuals’ donations by 78% with Netcore’s segmentation and personalization.

Challenges

Primary challenges:

Solution