A current international market survey by analytics agency SAS and Coleman Park discovered that whereas 9% of organizations plan to spend money on generative AI by 2025, a staggering 90% of CMOs admit they don’t totally perceive the expertise or its potential affect on enterprise processes. This data hole highlights a big concern amid the continued AI hype.
Nevertheless, some corporations are charting a special course with AI.
The Nature Conservancy, an environmental nonprofit, and SAS are demonstrating sensible, revenue-generating purposes of gen AI. These embrace branding, lead scoring, and tailoring buyer journeys—methods highlighted throughout discussions at ADWEEK’s Brandweek occasion in Phoenix, Ariz.
“There’s a normal AI washing that’s occurring proper now,” mentioned Jennifer Chase, evp, chief advertising and marketing officer, SAS. “There’s a lot hype round it, and we owe it to our companies and, frankly, society to deepen our data round generative AI.”
The Nature Conservancy is seeking to scale its environmental efforts, eyeing bold objectives like preserving land twice the dimensions of India and conserving 10% of the world’s oceans, and gen AI helps it get there, based on the group.
The expertise has helped the nonprofit optimize its advertising and marketing fundraising selections, reminiscent of which of its lapsed homeowners it ought to attain out to whereas crafting digestible messaging from scientific papers.
Although many environmental nonprofits face declining fundraising, the group is bucking the pattern with its new methods—rising its income by 8% yearly, based on its director, strategic analytics, John Blackwell. In distinction, friends within the sector have skilled an 8% drop in donations yr over yr.
“The organizations that had been much like us in fundraising about 5 years in the past, in lots of instances, we’re elevating about twice as a lot as they’re as we speak,” mentioned Blackwell.
The Nature Conservancy has additionally begun utilizing artificial information to complement its restricted pool of high-dollar donors, permitting it to construct predictive fashions that establish potential main donors from smaller contributions.
“None of this truly works except you’ve got a extremely robust information basis,” Blackwell mentioned.
Extra correct buyer predictions
SAS, in the meantime, is pushing its AI boundaries, utilizing predictive modeling and gen AI to automate buyer journeys at scale, based on Chase. From lead scoring to creating next-best provides, AI has pushed SAS’s buyer engagement technique, serving to the agency keep a aggressive edge.
