Written by: Donnie Funderud, SenioROI VP of Sales and Marketing
Most communities have no idea where their prospect data actually comes from. The vendors selling it aren’t rushing to explain. Here’s what you need to know before you mail another piece.
Here’s a question I ask every marketing director I sit down with: Where does your list actually come from?
Not who sold it to you. Where was it built, what sources were used, how recently was it updated, and who validated it before it went to print?
Most people can’t answer that. And that gap is where campaigns quietly fall apart.
The objections I hear every time
Three things come up almost every time I bring up list quality with a senior living marketing director.
Your lists are too expensive. I can get more data from cheaper sources online. And my direct mail company handles my list.
I get all three. Here’s what each of them is actually costing you.
“Your lists are too expensive.”
When someone tells me our lists cost too much, I ask one question: compared to what?
If you’re comparing cost per record, you can absolutely find something cheaper. A list with 15,000 records for a fraction of the price. That math looks great on a spreadsheet.
Here’s the math that doesn’t get done. What does it cost to print and mail a piece to an address that no longer exists? What does it cost when 3,000 of your 15,000 records are outdated, undeliverable, or just the wrong household entirely? You didn’t save money on the list. You spent your print and postage budget on dead ends, then wondered why response rates were low.
Cheap data isn’t cheap. The invoice just arrives after you’ve already mailed your campaign.
“My direct mail company handles my list.”
This one concerns me more because, at least with price, there’s a conversation to be had.
A print shop thinks about getting a file to press on time. That’s their job. They’re not thinking about care transition indicators. They’re not building segments around second-home ownership in your target market or identifying affluent households in feeder cities three states away who may be seeing your community’s name for the first time.
They pull records that match an age range and a ZIP code. That’s a demographics filter applied to a general consumer file.
If your list vendor has never asked you what a qualified senior living prospect looks like in your specific market, that conversation needs to happen before your next campaign drops.
A beautiful mail piece sent to the wrong household is a print-and-postage bill. The list is the strategy. If the person building it doesn’t understand this category, you don’t have a strategy.
What actually shocks people about their data
The biggest shock I see when communities dig into their list quality isn’t the undeliverable addresses, though those hurt. It’s that the data was never 100% accurate to begin with.
That’s not a flaw specific to cheap vendors. No list is perfect. The question is what’s been done to get it as close to accurate as possible before it hits your hands, and what keeps it accurate over time.
Commodity vendors have loose qualification criteria. Their goal is volume. More records mean more product to sell, and the bar a household has to clear to make it into production is low. You get quantity with noise baked in.
Stricter operations have tighter standards. Fewer records overall, but the ones that make it to production are actually worth mailing to.
And then there’s what happens after the list is built.
Why do we re-cleanse every single time?
At SenioROI, we pull bad and undeliverable addresses at the source before a file ever reaches a client. We call it Senior Cleanse.
What’s different is we re-cleanse before every single mail drop.
People move. They transition to a higher level of care. An address good 6 months ago may not be good today. Over the course of a year, a mailing list in the 65-plus demographic shrinks by about 10% due to natural attrition alone. If you’re mailing from a file cleaned once and never touched again, you’re accumulating bad addresses with every cycle.
Think about postage alone. On a list of 10,000, if 10% of addresses have gone bad, that’s 1,000 pieces you’re paying to print and mail to no one. Re-cleansing before every drop pulls that waste out before it hits your budget.
Most vendors don’t do this. It takes more work. But when the goal is making your client look successful to their sales team, their ED, or their board, this is not the place to cut corners.
What senior living expertise looks like when it’s actually applied
Deerfield is a Life Plan Community in Asheville, NC. Well-regarded locally, never needed to spend much on marketing. Strong enough reputation that organic interest kept them occupied. But they had an expansion planned and needed 70% of the commitments for a new building before it could move forward.
Their apartments had always been filled from the local pool. This was different territory.
Case study: Deerfield, Asheville, NC
We built 2 lists. The first: people with second homes in the greater Asheville area. About 2,900 households. People who already have an affinity for the area, know Asheville, and may have heard of Deerfield. A warm audience.
The second was a cold affluent list. High-net-worth households across feeder markets throughout the Southeast. Right life stage, right financial profile for a Life Plan Community. Most had probably never heard of Deerfield.
The mailer was intentionally minimal. It didn’t try to explain everything. Just enough to make the right person curious enough to raise their hand. It was mailed right around the holidays, which, I’ll be honest, wasn’t the timing I’d have chosen.
Final list: 11,900 households. Results: 63 new leads, 34 registered for the virtual event, 2 prospect conversations already underway. A 0.5% response on a largely cold list, mailed during the holidays, to people who’d never heard of this community.
A general data vendor would’ve handed them 11,900 age-qualified households in a geographic radius. What we built was 2 distinct audiences with 2 distinct affinities, approached on their own terms.
That’s the difference between a list built by someone who understands the senior living buyer and one that isn’t.
What single-source data misses
Every list is built from underlying source data: surveys, public records, purchase transactions, and subscription data. Each source has its own coverage, its own refresh rate, its own blind spots.
A single-source list gives you one view of the market. It might be deep in one dimension. But if there are gaps in a particular geography, or the data hasn’t been refreshed in 18 months, you have no way of knowing. You’re trusting that what you received is complete.
Multi-source cross-references independent sources against each other. A household that appears consistently across multiple data sets receives a higher confidence score. Gaps in one source get filled by another.
We work with 3 proprietary sources. The combination isn’t something we publish because the sourcing is part of how we build lists that perform.
What I can tell you is that when communities switch from commodity lists to ours, the response rates show it:
Data Sources
- Commodity / single-source: One vendor, one input source
- SenioROI multi-source: Three proprietary sources cross-referenced
Qualification Criteria
- Commodity / single-source: Loose criteria designed to maximize record volume
- SenioROI multi-source: Strict criteria designed to maximize record accuracy
Initial Cleanse
- Commodity / single-source: Cleansing quality varies by vendor
- SenioROI multi-source: Senior Cleanse applied directly at the source
Ongoing Cleanse
- Commodity / single-source: Rarely, if ever, re-cleansed
- SenioROI multi-source: Re-cleansed before every mail drop
Senior Living Expertise
- Commodity / single-source: General consumer targeting
- SenioROI multi-source: Built specifically around senior living buyer profiles
What You’re Paying For
- Commodity / single-source: Volume and higher record counts
- SenioROI multi-source: Accuracy and reaching the right records/prospects
One question before your next campaign
Ask your list provider this: when was this list last cleansed, and what was the actual process?
If the answer is vague, if it’s something like ‘we regularly update our database’ without anything specific behind it, you’re working with a commodity list. You may not know exactly what it’s costing you. But it’s costing you something.
The communities filling their pipelines and hitting census goals right now aren’t doing anything mysterious. They started with better data, and everything downstream worked better because the foundation was right.
Get the list right. The rest of the program has a real chance. Get it wrong, and you’re spending good money to find out what doesn’t work.
One more thing worth addressing. A lot of communities think lifestyle and interest-based data is the answer — golfers, travelers, gardeners, people who look like great senior living prospects on paper. There’s a real problem with that logic. We’ll get into it in the next post.
Want to see what your market actually looks like?
We’ll pull a sample list comparison for your geography at no cost. You’ll see exactly how many qualified households your current data is missing and what a properly built, Senior Cleanse-verified list looks like for your specific market. No commitment. Just the data.
Request your free list sample comparison today.