Is the Juice Worth the Squeeze? What Real Personalization Actually Buys You
Picture two donors who give to the same food bank. One always has a plan, calendars are full, bills paid early. They give because keeping things stable matters, and because someone needs to make sure the system holds.
The other is just as generous, but wired differently. She’s energized by new ideas, new approaches, and the sense that problems can be solved better than they are today. They give because change feels possible.
Most fundraisers recognize these people as they show up in meetings, donor calls, and comments on surveys.
And then we send them the same appeal. The efficiency system is wired for one-size-fits-all, it “works”.
When personalization comes up, the question turns to a rhetorical one, is the juice worth the squeeze? Or is it just expensive complexity layered onto messages that already work well enough? Those are fair questions and the right ones.
A recent field experiment on savings behavior answers both. Users of a new savings app agreed to a goal of trying to save $100 in 30 days.
Users were randomly assigned to one of five conditions.
1. Personality-matched messaging
Each participant completed a Big Five personality assessment. The system identified their most pronounced trait and framed the savings goal around a future payoff that fit that trait. This wasn’t a tonal tweak or adjective swap, it was a different reason for saving.
Examples:
- High Conscientiousness
- Save to build an emergency fund
- Emphasis on preparation, responsibility, staying on track
- The money is about order and security
- High Openness
- Save to create options and freedom
- Emphasis on future experiences, flexibility, possibility
- The money is about exploration
2. Personality-mismatched messaging
Participants were deliberately shown the opposite framing of their dominant trait.
- High Openness participants saw messages about proven methods and stability
- High Conscientiousness participants saw messages about adventure and novelty
This rules out novelty and creativity as explanations, message fit is the variable being isolated.
3. Gold-standard messaging
This was the organization’s existing best-performing messaging. It was generic encouragement with no explicit goal beyond “save $100” and no personalization. The kind of message most nonprofits send because it performs fine and offends no one.
4. Random personality messaging
Participants received one of the personality-based messages at random, regardless of their own profile. This matters because random sometimes looks like personalization if you squint hard enough.
5. No-message control – Maybe nothing beats something.
The outcome was simple: did the participant reach $100 in savings within 30 days.
Here is the ordering:
- Personality-matched: ~11–12%
- Gold standard: ~7–8%
- Mismatched: ~6–7%
- Random: ~6%
- No message: ~3–4%
Matched messaging roughly tripled success versus no message and meaningfully outperformed the organization’s best existing messaging
And mismatched and random messaging erased most of the benefit, ruling out “any personalization helps” to find that it was fit or nothing.
Fundraising Lessons
The tailoring worked because it helped the person imagine why saving already made sense for them. Most so-called personalization fails because it stays at the surface, cosmetic changes that leave the underlying meaning untouched.
Let’s make this concrete with a food bank appeal.
Assume the same underlying facts:
- Families are going hungry more often due to rising costs
- The food bank has a clear intervention
- The ask amount is identical
The facts don’t change, it’s how the story, need, solution, and ask are organized to match motivation.
Gold-standard control (what most organizations send)
Story: A family struggling to put food on the table.
Need: Rising costs mean more neighbors are at risk of hunger.
Solution: The food bank provides meals to families in need.
Ask: Give today to help feed your neighbors.
This works sometimes, is psychologically generic and relies on moral consensus rather than personal fit.
Trait-matched example: High Conscientiousness
Story: A single parent who budgets carefully, works multiple jobs, and still finds that one unexpected expense can destabilize the month.
Need: When systems are fragile, small disruptions turn into crises.
Solution: The food bank acts as infrastructure, smoothing volatility, ensuring predictable access to food, and preventing downstream emergencies.
Ask: Your gift strengthens the system families rely on before they fall behind.
Trait-matched example: High Openness
Story: A family navigating changing work schedules and new living arrangements, adapting constantly to uncertainty.
Need: Old models are not reaching everyone who needs support.
Solution: The food bank pilots new distribution methods, partnerships, and flexible programs that meet families where they are.
Ask: Your gift helps build better ways to fight hunger in a changing world.
Send the innovation story to someone motivated by order and it can feel unfocused. Send the infrastructure story to someone motivated by exploration and it feels static. The generic control will occasionally land by accident, sometimes it will partially resonate and sometimes it will miss entirely.
If personalization stops at adjectives, then save a lemon. If personalization reshapes meaning, story, solution, and ask to align with motivation, get out the juicer.
Kevin



hi, Kevin, so how will you know what type of donor someone is just by looking at their giving behavior? Perhaps you could tell that someone who gives automatically as a monthly donor is more of a planner but that’s not necessarily so… ? it may just be that they want to spread their giving because that’s how they can afford to do so…
Hi Erica, you are correctly surmising you cannot know these things by looking at typical RFM behavior – it has no answers on why people do what they do. That means we need to dig deeper to understand what causes the behavior of the planner. This is where one’s personality comes in, our Big Five trait profile explains a lot of the choices we make – e.g. am I an organized, methodical planner? A person high in Conscientiousness (one of the Big 5) is this person.
That’s the experiment cited in the post – when you match the message to person’s personality profile it materially increases the desired behavior (saving money in this case).
In the experiment the researchers first measured all the participant’s personalities using a survey, an assessment. That’s how they knew who was the planner or not.
Fortunately, that isn’t required for charities. Any charity can know the trait profile of their donors for $0.15/name. A pittance to understand something really important about how a person sees the world, what is likely to matter to them, get their attention and increase the chance they do the behavior we want them to do.
We built a model that uses 3rd party data (which is nothing more than choices we make in the real world) to reverse engineer and infer traits from that behavior. It works because the 3rd party data behavior is partly caused by personality – e.g. pet owner, traveler, car choices, political choices etc.