Partnerships

Product Development

Partnerships result in greater understanding, better results, and more value

We developed our products by disrupting the conventional sales and fundraising wisdom that says “this is how we always do things.” Our path to revenue generation is paved by our obsession to develop the best products for revenue-generating teams — and to continuously evaluate and educate on product usage so we constantly prove our value. As our clients use and begin to better understand our products, they see results — increased efficiency and more sales, faster.

Learn More

Among Our Clients

Reviews

National Basketball Association (NBA) Franchise / Senior Account Executive

“I kept pursuing a prospect strongly, despite the early signs telling me she was probably going to bail. If I didn’t know the PILYTIX score, I would have thought she wasn’t genuinely interested. I probably wouldn’t have shown her 3 or 4 more products and would have missed $15,000 in suite sales.”

Power 5 Conference Institution / Director, Ticket Sales & Service

“We have to be efficient with limited resources. PILYTIX helps me ensure that our best leads and opportunities are being covered – and we don’t waste our time chasing bad leads and hoping for a different result.”

National University / Assistant Vice President for Advancement

“It was a tremendous honor to return to my alma mater to help implement a vision of improving our strategic thinking and decision-making processes by using our data more efficiently. PILYTIX gave us greater visibility into revenue sources, fans, and donors – and it ensured organizational effectiveness.”

Major League Baseball (MLB) Franchise / Executive Director

“The PILYTIX team continues to be a model for future partners that we bring on and talk about often.”

National Football League (NFL) Franchise / Director of BI

“We chose PILYTIX to assist in both our analytics and retention efforts because they were the only solution that approached retention the same way we did, and they brought true artificial intelligence and machine learning to the table.”