Keel Profiles

Know who your people actually are.

Your population, as living personas instead of a census row. Who is waiving, who is over or under-insured, and the right move for each group. Pick a group below.

Show clients their people, not a spreadsheet.

Turn a census into living personas your clients understand: who needs what, who is at risk of waiving, and how to reach each one. Pick a group below.

app.keel.com/profiles
Keel Profiles
Your whole population, in five faces
Aggregate and de-identified. No individual health data, ever.
Amanda
AmandaAI population analyst
Amanda
I grouped your 480 employees into five personas. Young Savers are your biggest group at 31%, and 15% are likely to waive without a nudge before the deadline. I have a recommendation for each group.
Recommendation per groupUpdated from this year's census
Population
480
employees segmented
Personas
5
not 480 rows
Likely to waive
15%
72 people flagged
If targeted
+9 pts
participation lift
480
employees
31% selected
Young Savers31%
Growing Families27%
Pre-Retirees18%
High Utilizers9%
Likely to Waive15%
Illustrative. Example workforce, representative segmentation. Personas are aggregate and de-identified.
Why it's different

A census tells you ages. Not people.

The old way

One message for everyone.

A spreadsheet of ages and zip codes, once a year.
The same generic email to a 24-year-old and a 60-year-old.
No idea who is over-paying or about to waive.
You find out what people needed after they chose wrong.
With Keel

The right move for each group.

Living personas Amanda builds from the census.
Who tends to over or under-insure, and who is likely to waive.
The right plan for each group, and the channel to reach them.
Aggregate and de-identified, never individual health data.
By the numbers

Your population, finally legible.

0 groups
Not 480 rows
0%
Spotted likely to waive
+0 pts
Participation when targeted
0
Individual health records
Better together

Knowing who they are changes what happens next.

Profiles is the lens. The rest of the suite acts on what it sees.

Questions

The details.

Where do the personas come from?
From the census and enrollment behavior, the things your plan already knows: age, family status, coverage tier, who waived, who changed plans. Amanda groups them into recognizable personas, with the share of the population each one is. It is segmentation, not surveillance.
Does this use individual health data?
No. Profiles is aggregate and de-identified. It works from census and election data, never claims, diagnoses, or medications, and you never see one person's health information. The "high utilizer" group is inferred from plan choices and tier, not from anyone's records.
What do I actually do with it?
You meet each group where they are. Send the families a dependent-coverage explainer, nudge the likely-to-waive before the deadline, give pre-retirees the plain-language Rx breakdown. Profiles tells you who needs what, and Broadcast and Enroll do the rest.
What does it do for the broker?
It turns a renewal meeting into a strategy conversation. Instead of a census dump, you show the client who their people are, where participation is leaking, and a plan to fix it. It makes you the advisor, not the spreadsheet courier.
Keel Profiles

Stop guessing
who they are.

See your own population turn into personas you can actually act on, without ever touching individual health data.