Wiland launches GivingSignals^™, a MarketSignals^™ solution empowering nonprofits with predictive insights to optimize donor engagement and fundraising success

Wiland, Inc., the nation’s leading provider of predictive marketing intelligence, today announced the launch of GivingSignals^™, a groundbreaking and easy-to-use solution designed to help nonprofits optimize donor engagement and fundraising outcomes within their existing donor file. As the newest addition to the MarketSignals^™ platform—Wiland’s suite of advanced data-driven marketing solutions—GivingSignals delivers unparalleled insights that empower nonprofit organizations to reach the right donors, at the right time, with the right message.

Fueled by Wiland’s vast consumer database, the largest transactional database in the nonprofit industry, and proprietary data science, GivingSignals is a donor house file solution that enables organizations to refine their fundraising strategies with highly predictive intelligence. The solution offers both deterministic and probabilistic insights, helping fundraisers understand donor behaviors, preferences, and giving capacity of their existing donors like never before. By integrating these signals into their donor engagement efforts, nonprofit organizations can improve fundraising effectiveness, increase donor retention, and maximize lifetime value.

“Wiland has long been a trusted partner to the nonprofit sector, and we are thrilled to introduce GivingSignals as part of our continued commitment to product leadership and innovation,” said Mike Gingell, CEO of Wiland. “This solution represents a major leap forward in helping nonprofit organizations optimize their fundraising strategies with the same level of precision and sophistication that leading commercial brands use to engage their audiences.”

With GivingSignals, fundraisers gain access to powerful insights, including:

• Optimal Ask Amounts – Data-driven recommendations for the ideal ask string.
• Mid-Level and Major Donor Probability and Gift Capacity – Identify high-potential donors ready to elevate their support.
• Monthly Sustainer Propensity – Insights into donors most likely to commit to recurring giving.
• Seasonality Giving Preferences – Predict insights that determine the right time to engage donors, as well as the right time not to engage.
• Donor Advised Fund Propensity – Intelligence to connect with high-net-worth donors utilizing DAFs.
• Telemarketing and Online Channel Propensity – key indicators to help expand reach and targeting of channel-specific donors.
• Planned Giving Propensity – combines transactional giving behavior and key demographics to identify donors most likely to engage in legacy gift opportunities.

“Fundraising today requires more than just great messaging—it requires precision,” says Roger Hiyama, Executive Vice President of Nonprofit Solutions & Innovation at Wiland. “With GivingSignals, nonprofits can access an unprecedented level of intelligence that allows them to optimize donor engagement, reduce wasted effort, and drive greater financial support for their missions. GivingSignals are ready-made for immediate use and conveniently map to your existing donor fundraising programs.

For more information about GivingSignals and how it can help your organization achieve greater fundraising success, visit www.wiland.com.

ABOUT WILAND, INC.

Wiland, Inc. is the marketing data and audiences company that leading brands and nonprofit organizations trust to help them develop and maintain robust customer and donor relationships that produce higher revenue, less advertising waste, and more profit. Wiland’s data and audience products are informed by the largest set of detailed, individual-level spending signals ever assembled. The company’s AI-enabled response prediction platform analyzes this vast information to deliver powerful insights and solutions that drive success across all addressable marketing channels. For more information about Wiland, visit www.wiland.com.

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GivingSignals lets you predict individual donor behavior across your entire file.