Diverse approach, unified mission
With a multifaceted approach to donor engagement, WWF nurtures long-term relationships with legacy supporters through personalized outreach – often via traditional methods like direct mail – while embracing modern, digital-first strategies to connect with emerging supporters.
“It’s a balancing act,” Kelly says. “We need to continue strengthening our relationships with long-time loyal donors who have been supportive of our mission over the years, while also reaching new audiences and younger generations through modern, digital approaches,” Kelly says. “We want to express our mission in a way that attracts attention and secures support, meeting people where they are and how they want to be reached.”
WWF takes pride in building connections with its supporters.
“The fun part is matching a donor to what they are passionate about,” Kelly continues. “We have information on hundreds of species on our website. People have different interests – for someone it might be tigers, for another person it’s amphibians, while the next person is partial to elephants. SAS helps us get closer to understanding what each individual is passionate about, why they joined us and what they’re looking to support.”
Donor retention and re-engagement are also key elements that WWF monitors.
“We track donor retention and the strength of the relationship by how long someone remains an active donor,” Kelly says. “We also track the time in between when a donor leaves the organization and comes back. Understanding how long a donor has lapsed and what we can do to get them to return is crucial.”
Unlocking new benefits with SAS Viya
WWF is in the process of transitioning more of its projects into SAS Viya.
“SAS Viya opens up many new opportunities,” Kelly says. “For example, we had a program that traditionally ran on SAS Enterprise Guide, and now we can modernize it on SAS Viya and more easily integrate Python scripts. Additionally, SAS Viya connects nicely with SAS Customer Intelligence 360. We’re building models in SAS Viya, testing them, running champion/challenger competitions to find the best model, and then quickly integrating it with SAS Customer Intelligence 360 using predefined customer segments or an API connection.”
Enhancing fundraising with machine learning and GenAI
WWF has a long history of interactions with its donors, each with different levels of engagement. For example, someone who donated 20 years ago might be considered lapsed and qualify for a different marketing channel than a recently lapsed donor. Artificial intelligence, particularly machine learning, is particularly helpful in this area.
“We have many machine learning pipelines that build our models and help us identify the right donor for the right piece of communication,” Kelly says. “Our machine learning pipelines allow us to build models that better select the appropriate marketing channel for each person,” Kelly says.
WWF has also begun integrating generative AI into some of its marketing activities.
“WWF is starting to use the GenAI capabilities of SAS Customer Intelligence 360, which are available via the foundational technologies of Amazon Bedrock,” Kelly says. “GenAI is helping us test variation to our messaging, whether it be email, SMS messages or content presented on our website. And our talented team helps ensure the message feels true to the brand millions of people know and love.”
Synthetic data generation ‘supercharges’ innovation
The organization also is an early adopter of SAS Data Maker, a synthetic data engine that creates realistic, privacy-safe data to help organizations innovate without risking exposure of sensitive information. At WWF, SAS Data Maker allows teams to simulate donor behaviors and test engagement strategies in a secure, ethical way.
“SAS Data Maker generates synthetic data and creates segments efficiently, which we then bring into SAS Customer Intelligence 360,” Kelly says. “We’re really excited about these technologies – they’re going to revolutionize the way we work.”
He provides the following example: “While WWF has a wealth of data, there are certain areas where we lack data – and that’s where synthetic data becomes extremely useful. With a new program that doesn't have many donors yet, we can use SAS Data Maker to supplement the dataset, helping our models learn more intuitively on a larger dataset. This capability will supercharge our ability to customize and personalize the donor experience.”
Ongoing collaboration for conservation
Together, WWF and SAS are making a difference, one donor at a time, for a greener and more sustainable future.
“Our partnership with SAS has been instrumental in achieving our fundraising goals,” Kelly concludes. “The insights we gain from SAS empower us to make informed decisions and drive positive change for the planet. It’s an exciting time, and I can’t wait to see what’s next.”