Luxury brandsReal estateWealth managementConsumer brands

Find buyers by the life they live. Close more deals.

Describe the consumer you need. WhoEngine surfaces real people whose public lifestyle signals, financial capacity indicators, affiliations, and interests match, each with a cited source, so you can reach out with a reason that fits their life.

ranked by fitplain English briefcited sources per match

No account needed · free accounts include 1 real search

Illustrative example, not live data

James Harrington

Private equity principal · Miami, FL

Match
91
Why he fits

Recently sold a Coconut Grove home and is publicly listed as purchasing in a waterfront gated community. Member of a private golf club and a regional YPO chapter. Drove a Porsche 911 GT3 in a charity rally last spring.

Sources
  • Miami Herald real estate record
  • YPO chapter member list
  • Charity rally participant roster

Real searches return about 25 ranked matches, each with cited sources.

The cost of waiting

Public life moments get noticed fast. Slow research notices them last.

01

Moves you hear about late

A relocation, a sale or a new role can be public for weeks. Teams that find it later compete for attention already spoken for.

02

Hours lost to guesswork

Browsing listings, rosters and press by hand is slow and uneven. A ranked shortlist replaces the scavenger hunt.

03

Outreach after the choice

If someone has already chosen an agent or advisor, you are the third message. Public signals help you act sooner, not instantly.

Illustrative timeline, not a measurement
  1. Step 1
    A public signal appears
  2. Step 2
    You are still building a list
  3. Step 3
    Someone else gets the reply

What a shortlist looks like

Public signals, cited and ranked.

This illustrative example shows someone planning a move to Austin. WhoEngine is public web research, not real time alerts or verified identity, so confirm every detail before you reach out.

Illustrative example, not live data

Priya Raman

Product director, relocating to Austin, Texas

Fit
91
Reach first

Publicly shared that her team is moving to Austin and compared Westlake and Tarrytown neighborhoods.

  • Post on relocating to AustinPublic LinkedIn post
    2 weeks ago
  • Neighborhood comparison threadCommunity forum
    10 days ago

Public web research. Review each source and confirm details before you reach out.

The conversation

Describe the consumer. Get them.

WhoEngine asks one or two follow-up questions to sharpen the profile, then surfaces real people with the lifestyle signals that match.

01You describe

“I want high net worth individuals in South Florida who are actively buying or selling luxury real estate and are members of a private club.”

11:02 AM
02We clarify

Got it. Should I look for transaction recency, such as activity in the last 12 months? And any preference on club type: golf, yacht, private dining, or all of the above?

11:02 AM
03You confirm

“Last 18 months on the real estate side. Any club type counts. Primary residences only, not investment properties.”

11:03 AM
04We search

Scanning public records, club pages, social profiles, event rosters, and lifestyle publications. Your ranked matches, with cited sources for each, are on the way.

11:03 AM
Scanning public records, profiles, and lifestyle signals...
How it works

From description to ranked shortlist, without filters.

01

Describe the consumer in plain English

No demographic checkboxes. No income brackets to guess at. Describe the person you are looking for the way you would to a researcher: who they are, how they live, what signals confirm they fit.

02

ICP sharpened through follow-up

WhoEngine asks one or two questions to sharpen the profile: recency of signals, geography, specific lifestyle markers, any disqualifiers. The sharper the profile, the more precise the shortlist.

03

Live search across lifestyle and personal signals

WhoEngine searches the public web for lifestyle signals: real estate activity, club memberships, vehicle ownership, event attendance, family milestones, travel patterns, and personal writing. No consumer database, no panel data.

04

Ranked shortlist with cited reasons

Approximately 25 matches, each with a numeric fit score and a cited reason referencing the specific public signal that confirms the match. Full contact details on paid plans.

Use cases

Every category where the right person matters more than the right filter.

WhoEngine reads the signals people leave publicly across the web. No surveys, no panels, no scraped databases.

Luxury real estate

Buyers before they call a broker.

01

Surface buyers whose public profile confirms they are in the market: recent transactions, club memberships, lifestyle signals, and financial capacity. Reach them before the listing goes live.

  • Recent real estate transaction signals
  • Financial capacity from cited public sources
  • Club and lifestyle affiliation markers
Wealth management

The client who fits your practice.

02

Find individuals whose publicly visible wealth markers, life stage, and professional profile match the client profile your practice serves best. No cold calling directories. No broker referral dependency.

  • Executive and board role financial signals
  • Business sale and liquidity event signals
  • Life stage markers: retirement, inheritance, relocation
Luxury and premium brands

The buyer who already lives your brand.

03

Identify consumers who publicly display the lifestyle signals associated with your category: vehicle ownership, travel, club memberships, and discretionary spending patterns visible in their public presence.

  • Exotic and luxury vehicle ownership
  • Private club and membership affiliations
  • Travel and hospitality preference signals
Private events and programs

The right room before invitations go out.

04

Curate attendee shortlists for private dinners, invitation only experiences, and exclusive programs using lifestyle alignment and affiliation signals, not just who you already know.

  • Peer group and mastermind memberships
  • Industry event and summit attendance
  • Civic and philanthropic affiliation signals
B2C signal categories

What WhoEngine reads for consumer searches.

B2C mode extends beyond professional signals to read the personal, lifestyle, and financial signals people share publicly across the web. Every signal is grounded in a cited source URL.

  • Real estate and property activity

    Recent purchases, sales, permit filings, and property records visible in public county records and real estate aggregators. One of the clearest indicators of active wealth movement.

  • Financial capacity indicators

    WhoEngine derives a capacity tier from publicly cited signals: executive role seniority, business ownership, known transaction history, and asset class indicators. No paid net worth databases are used.

  • Exotic and luxury vehicle ownership

    Publicly visible vehicle ownership signals from social media posts, event registrations, charity rallies, and enthusiast publications. Confirmed exotic ownership is a high-confidence wealth indicator.

  • Club and membership affiliations

    Named memberships in golf clubs, yacht clubs, private dining clubs, business peer groups such as YPO, EO, and Vistage, and invitation only professional communities.

  • Lifestyle and event attendance

    Charity gala attendance, private event rosters, luxury travel features, and discretionary lifestyle signals visible in editorial coverage, social profiles, and event programs.

  • Personal and family profile signals

    Life stage signals such as family milestones, education, homeownership, and relocation events that confirm alignment with your target consumer profile.

  • Civic and philanthropic affiliations

    Named board roles at nonprofits, foundation giving, charity auction participation, and civic leadership positions that signal both values alignment and financial capacity.

How it compares

Not an audience segment. A shortlist of real people.

Traditional consumer targeting tools sell demographic segments: income ranges, zip codes, purchase categories. WhoEngine returns named individuals with the specific public signals that confirm they fit your profile.

DimensionWhoEngineOthers
Data sourceLive public web, searched in real timeConsumer panels, purchased lists, scraped profiles
InputPlain English description of the consumerDemographic segments and income brackets
OutputRanked individuals with cited reasonsAudiences of thousands with no individual context
Signal depthLifestyle, capacity, affiliations, real estate, vehiclesAge, income estimate, zip code, purchase category
RecencyWhat is publicly visible todaySurvey data and transaction history from months ago
FAQ

Common questions

Get started

Your next buyer is already out there. Find them by name.