Webinar Recap: Actions Speak Louder Than Words

October 8, 2026

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‍About This Webinar:

"Actions Speak Louder Than Words" contains our best advice for membership and donor teams: watch what people do, not just what they say.

In the first session of our webinar series, Lifecycle Strategist Tim Yeadon walks through why demographic data matters most at the start of a relationship, why behavioral data matters more after that, and how a simple recency, frequency and monetary (RFM) analysis can show you who’s thriving, who’s slipping and who’s about to leave.

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Six takeaways from the session

1. Demographic data gets you started. Behavioral data keeps people.

What’s happening: Early in a relationship, all you have is what people tell you or what you can infer: name, location, employer, stated interests. It may or may not be accurate. Once someone engages, donates, visits or purchases, you have something verifiable. Tim’s example: Home Depot can tell he lives near both the Mount Vernon and Oak Harbor stores, but it doesn’t know which he prefers until he keeps choosing one, or that he’s a DeWalt person until he keeps buying DeWalt.

What to do about it: Use demographics for acquisition and lookalike audiences. Once you have behavioral signals, let those drive what you send.

2. Personalization only works when it’s tied to relevance.

What’s happening: A checkout clerk saying your name in front of strangers can feel intrusive. A coffee shop order board showing your name with “your drink is coming up” feels like service. The difference is whether the personal detail connects to something useful in the moment.

What to do about it: Look for moments where a personal attribute and a relevant piece of content line up. A YMCA noticing that only one person on a family membership has visited this year is a chance to serve, not just greet.

3. RFM is a simple way to see engagement clearly.

What’s happening: Recency (how recently someone engaged), frequency (how often over a set period) and monetary (how much they spent or gave in that same period) are each scored from 1 to 5. Stacked together, they give you a snapshot of your whole audience. Research consistently shows recency is the strongest predictor of future behavior.

What to do about it: Define what counts as an interaction for your organization, pick one time period for all three measures, and score. Smaller files can use quartiles instead of quintiles. Expect the first pass to need adjusting.

4. Segment first, then score.

What’s happening: Laying one RFM model over your entire membership blends groups that behave very differently. A volunteer, a monthly donor and a family member have different rhythms.

What to do about it: Break your audience apart by membership or donor type before running the analysis. Then pick one or two segments that matter most, such as former champions or high risk members, and layer in monetary to decide where to invest time. Some groups may warrant a handwritten note or a call from your CEO.

5. Treat onboarding as its own program.

What’s happening: The first 30 to 45 days set the habit of engagement. At a YMCA, a guided tour or a body composition scan helps, but making a friend or finding a workout buddy in the first month dramatically increases how long someone stays.

What to do about it: Suppress new members from your regular communications during onboarding, give them a curated experience, and watch whether they’re engaging. If they aren’t, use behavioral triggers. If someone bought something and never used it, offering help, or even offering to cancel, builds trust.

6. Winback starts where the relationship started.

What’s happening: People usually come to you for a specific reason: a program, a cause, a benefit. That reason is often the best way back in.

What to do about it: Record what first brought each person to you. When they start to drift, start the conversation there. If that program no longer exists, point them to the closest thing that does.

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