Can you tell us a bit more about how you're using AI at Spark Networks?

Right now, we don’t actively use AI in our lifecycle marketing workflows, but we’re starting to explore it.

One area we’re considering testing is using AI to QA segments and canvases. As lifecycle marketers, we know that human error can happen, especially when working with complex logic, multiple audience segments, and dynamic content. If AI can help us identify inconsistencies, optimize targeting, and flag potential issues before launch, that could be a game-changer for efficiency and accuracy.

While we haven’t integrated AI for image generation, content creation, or predictive analytics yet, we’re always looking at ways to enhance personalization and automation without losing the human touch that makes lifecycle marketing so effective.