Dataro invites you to their event

More Audiences, Less Effort: The Sustainable Path to Personalization

About this event

Micro-segmentation sounds like a dream until you’re staring down dozens of audience variations, wondering how you’ll ever create content for all of them. It feels like "more audiences" simply means "more work."

It doesn’t have to be that way.

Join Salvatore Salpietro (Chief Growth Officer, Dataro) and John Wilson (Head of Partnerships, Arbor) for a practical session on how mid-sized and enterprise nonprofits can achieve true micro-personalization without growing their teams. We’ll show you how to bridge the gap between deep CRM insights and high-volume content creation using tools you already have and simple process adjustments.

In this session, you’ll learn:

  • The "Core-to-Niche" Framework: How to turn one strong piece of content into multiple audience-specific messages.
  • AI-Assisted Framing: Using AI to adjust tone and language while keeping your mission’s core message intact.
  • Predictive Efficiency: Using outcome predictions to prioritize where personalization will actually drive ROI.
  • Sustainable Scaling: Building a repeatable workflow that eliminates "content sprawl."

If you’re excited about personalization but worried about content andw work bloat, bring your lunch and join us.

We’ll show you the path to scaling your message, not your to-do list.

Hosted by

  • Team member
    T
    Salvatore Salpietro Chief Growth Officer @ Dataro

    🚀 CGO @ Dataro, ex-Fundraise Up | 🌐 Unlocking Generosity Through Donor-Centric AI Tech | 🛵 Vespa-Riding Nonprofit Tech Evangelist, Speaker, Polyglot | 🖖 Star Trek, Star Wars, Lego Fan | 🤝 Connect ​> Follow

  • External speaker
    E
    John Wilson Head of Partnerships @ Arbor

    Helping Comms & Marketing Teams Get More Out of Their Videos | Partnerships @ Arbor | ex-Google

Dataro

Dataro utilizes machine learning to analyze donor behavior and generate predictions, enabling organizations to optimize their fundraising campaigns by targeting the most likely contributors at the right time.