145. Hosting a pop up giving circle for the holidays

Send us Fan MailToday’s episode is about a fun activity to consider trying with your friends, coworkers, or fellow book club members. You might have heard of giving circles before, where you meet regularly with a group of people and pool your money and then decide collectively where to donate.But have you ever heard of a pop up giving circle? This is a very condensed version of that! No long term commitment, no complicated scheduling! It’s pretty genius. Invite a group of similarly minded people, set aside 90 minutes and get ready to have a lot of fun and make an impact in less time than it takes to watch a movie!Tune in this week to learn more about how to take part!Links from today’s episode:Philanthropy Togetherhttps://philanthropytogether.org/ https://philanthropytogether.org/pop-up-giving-circles-employee-engagement-csr-and-30000-in-90-minutes-or-less/ ICYMI another episode you might enjoy:Episode#99 What's your plan for Giving Tuesday this year? (recorded before the 2024 rebranding of this show)Episode #28 How to set up a giving circle (recorded before the 2024 rebranding of this show)Connect With Genet “GG” Gimja:Website https://www.progressivepockets.comTwitter https://twitter.com/prgrssvpckts Work With Me:Email [email protected] for brand partnerships, business inquiries, and speaking engagements.Easy Ways to Support the Show1. Send this episode to someone you know! Word of mouth is how podcasts grow!2. Buy me a coffee (or a soundproof panel!) https://buymeacoffee.com/progressivepockets 3. Leave a 5 star rating and review for the show!//NO AI TRAINING: Any use of this podcast episode transcript or associated show notes or blog posts to “train” generative artificial intelligence (AI) technologies to generate text is expressly prohibited. This includes, without limitation, technologies that are capable of generating works in the same style or genre as this content. The author reserves all rights to license uses of this work for generative AI training and development of machine learning language models//Support the show