Vodyssey · Audience Demographics Report

How to read this report

Three sources, three jobs — all as distribution percentages.

Source A · GHL

Applicant profile

Income, capital, goals, blockers, ownership, timeline. Among contacts who completed application fields (not the full 54,542 list).

Source B · Meta

Audience mix

Inferred age, gender, and state mix. Booking vs webinar kept separate. Shares only — no cost or efficiency metrics.

Source C · Members

Where members live

Member density tiers by state — priority geos for community and national proof-of-scale.

What the data says

High-earning applicants, a large $1M+ income pocket, Meta core of 45–64, member weight in TX/CA/FL/UT/CO/NC.

Executive read

Income standout
31.2%

          of Strategy Session applicants report $1,000,000+ annual income
          — 183 people, the second-largest income band after $250k–$500k.
          Another 45.9% sit at $750k or above.
        

Qualified applicants (GHL)

Primary application bands · n = 586 income · 587 capital

$500k+ income

65.0%

$1M+ income

31.2%

Capital $500k+

34.1%

Tax goal #1

37.7%

Avg income midpoint $769,411 · avg capital midpoint $426,448. Capital’s top selectable band is $500k+ (open-ended) — GHL does not split capital above $1M.

Audience mix (Meta)

Inferred demographics · last 30 days · shares of audience / leads

Age 45–64 audience

50.6%

Age 45–64 webinar leads

73%

Male audience

73.1%

Female audience

25.4%

Booking and webinar funnels are shown separately below. Age/gender are Meta-inferred, not declared on the CRM.

United States maps

Member density and Meta audience geography. Hover any state.

Interactive

Member Density Heatmap

Tiers by state concentration · priority geos

Tier 1 — Core Tier 2 — Secondary Tier 3 — Long-tail No count in source

Tier-1 callout: These 6 Tier-1 states alone account for a huge share of the total member base. TX 75 · CA 73 · FL 45 · UT 39 · CO 38 · NC 35.

Tier 1 — Core Density Markets

State	Members
TX	75
CA	73
FL	45
UT	39
CO	38
NC	35

Highest-concentration states — treat as priority geos.

Tier 2 — Strong Secondary Markets

State	Members
PA	28
VA	24
MO	24
AZ	22
WA	19
GA	18
OH	18
TN	18
NY	18

High enough volume to justify segmentation, but slightly less dense.

Tier 3 — Long-Tail but Meaningful

WI 16IL 15MI 14NJ 13MA 12SC 11MD 10KS 9ID 9KY 8IA 6LA 6IN 6NH 5HI 4WY 3MS 3AK 3WV 3CT 3MT 2NM 2ND 2AR 2

Nationwide coverage; useful for proof of scale and national messaging.

Meta audience by state

Share of booking-funnel audience geography · Jul 5 – Aug 4 2026 (last 30 days)

Geography mix only. This is where audience was reached — not state-level performance. Top 12 states ≈ 65% of booking audience geography.

#	State	Share
1	CA	16.5%
2	TX	9.4%
3	FL	9.3%
4	NY	6.4%
5	NJ	4.5%
6	IL	3.3%
7	GA	3.2%
8	PA	2.9%
9	NC	2.8%
10	MA	2.6%
11	CO	2.3%
12	OH	2.2%
13	VA	2.2%
14	TN	2.2%
15	AZ	2.2%
16	MI	2.1%
17	WA	2.0%
18	MD	2.0%
19	UT	2.0%
20	SC	1.9%
21	CT	1.5%

Top states: CA 16.5% · TX 9.4% · FL 9.3% · NY 6.4% · NJ 4.5%. Aligns with member Tier-1 (CA/TX/FL); NY/NJ run heavier in Meta audience than in member density.

Layer comparison

Member tiers + Meta top audience states

Member Tier 1 Member Tier 2 Member Tier 3 Ring = Meta top-12 states

How to use: Fill color = member density. Blue outline = Meta top audience list. Hover for member count and Meta share.

Age

Meta inferred demographics. GHL has no dates of birth — age comes from audience mix only.

Percentages · Meta

Booking funnel · audience by age

Share of audience reached · last 30 days

45-54

28.2%

55-64

22.4%

35-44

22.1%

65+

13.8%

25-34

10.1%

18-24

3.3%

Webinar funnel · lead mix by age

On-platform instant form · share of 59 leads

55-64

37.3%

45-54

35.6%

35-44

11.9%

65+

10.2%

18-24

5.1%

25-34

0.0%

Convergent: 45–64 is 73% of webinar leads (43 of 59). Same core band as booking.

Treat 45–64 as the demographic center of gravity. 18–24 is a negligible slice of leads.

Gender

Meta inferred · booking funnel. Not stored anywhere in GHL.

Percentages · Meta

Booking funnel split

Share of audience · share of leads

Male

73.1%

of audience
75% of leads

Female

25.4%

of audience
25% of leads

Gender	Audience share	Lead share
male	73.1%	75%
female	25.4%	25%
unknown	1.5%	0%

How to read gender

Mix, not efficiency

Audience is male-weighted (~73% / 25%).
Lead share tracks audience share almost 1:1 (75% / 25%) — no large gender skew in who becomes a lead.
Unknown gender is 1.5% of audience and 0% of leads.
Use for casting and creative representation; GHL still has no declared gender field.

Creative note: Male-skewed reach is real, but a quarter of the audience (and leads) is female — don’t lock every asset to a single gender.

Income

GHL field Income — application radio among form completers.

n = 586

Primary form bands

Current Strategy Session application options

Average (midpoint)

$769,411

Median band mid

$625,000

$250k - $500k

35.0%

$500k - $750k

19.1%

$750k - $1M

14.7%

$1,000,000+

31.2%

Midpoints for averages only: $250–500k → $375k · $500–750k → $625k · $750k–$1M → $875k · $1M+ → $1.25M.

The $1M+ pocket

Largest premium segment on the form

$1,000,000+

31.2%

183 applicants

$750k or more

45.9%

269 applicants

$500k or more

65.0%

381 applicants

$250k–$500k entry

35.0%

205 applicants

Read: Nearly 1 in 3 completers is $1M+ income. Nearly 2 in 3 are $500k+. The entry band is still the single largest slice, but the top end is not a thin tail — it’s a core part of who books.

Capital

GHL field Capital. Top band is open-ended $500k+ (no separate $1M+ capital option in GHL).

n = 587

Primary form bands

Current application options

Average (midpoint)

$426,448

Median band mid

$375,000

$150k - $250k

43.6%

$250k - $500k

22.3%

$500k+

34.1%

Midpoints: $150–250k → $200k · $250–500k → $375k · $500k+ → $750k (assumed mid of open top band).

How capital differs from income

Liquidity posture of the same applicant pool

$500k+ capital

34.1%

200 · top band

$250k–$500k

22.3%

$150k–$250k

43.6%

Largest single band

vs income $1M+

31.2%

Income splits higher; capital does not

Why this isn’t “lots of $1M+ capital”: GHL only offers capital choices up to $500k+. Anyone with $1M+ deployable capital lands in that same top bucket. The large $1M+ group is on income, where the form has an explicit $1,000,000+ option. To measure $1M+ capital next time, add a higher capital band on the application.

Intent, experience & fit

Why they book, what they already own, what’s blocking them, and how fast they want to move.

High-signal · GHL

#1 goal

37.7%

Tax advantages — turn tax burden into assets

First-timers / explorers

64.0%

Actively acquiring first STR or still learning

ASAP timeline

41.1%

Ready in 0–3 months

#1 blocker

37.8%

Finding the right property or market

Primary goal

What they’re optimizing for · n = 716

Tax advantages - turn your tax burden into high-performing assets

37.7%

Build long-term wealth with high-quality assets

22.9%

Acquire a personal-use property that someone else pays for

11.3%

Purchase an income-generating property

10.2%

Acquire a personal-use + income-generating property

6.0%

Build long-term wealth + tax advantages

5.9%

Generate $5k-$15k/month in additional income

4.1%

Replace my current income

2.0%

Tax is the door. 37.7% lead with tax advantages — far ahead of pure income generation or personal-use. Wealth-building is #2. Creative that leads with tax pain matches stated intent.

Biggest blocker

What stalls them · n = 716

Finding the right property or market

37.8%

Not sure where to start

31.3%

Financing / structuring the deal

17.5%

Time / bandwidth

13.4%

Guidance over grit. Property/market selection + “not sure where to start” dominate. Financing is real but secondary. Done-for-you / guided-path messaging attacks the actual wall.

Ownership & experience

Where they are on the journey · n = 716

I’m looking to acquire my first STR (actively)

39.4%

Just exploring / learning

24.6%

I invest in other real estate

22.1%

I own 1+ short-term rentals

14.0%

Timeline & commitment

Urgency · n = 716

ASAP (0-3 months)

41.1%

3-6 months

27.8%

Not sure yet

17.7%

6-12 months

13.4%

Committed (Yes)

89.0%

n = 136 answered

Not committed

11.0%

Main reason for booking

n = 117

Looking to purchase within 12 months

73.5%

Own STRs — want to maximize & scale

16.2%

Both — buy in 12 mo + scale existing

10.3%

Composite applicant portrait

Intent together with income, capital, age, and gender

Who they are

High-income (65.0% at $500k+; 31.2% at $1M+), often with $150k–$500k+ deployable capital, Meta age core 45–64, audience ~73% male / 25% female.

What they want

Tax advantage first, then long-term wealth. Most are getting their first Lifestyle Asset (or actively acquiring), not scaling a big STR portfolio yet.

What stops them

Finding the right property/market and not knowing where to start. Many say ASAP (0–3 months) — urgency is there; the missing piece is a clear path.

Geography detail

Maps above are the hero view. Table for GHL country/timezone.

GHL country & timezone

Full base · n = 54,542

United States

99.2%

Other / blank

0.8%

Top timezones (when set)

Among contacts with timezone · n = 29,209

Timezone	Share
America/New_York	45.4%
America/Chicago	26.1%
America/Los_Angeles	15.0%
America/Denver	6.0%
America/Phoenix	1.9%
America/Detroit	1.8%

Methodology

Demographics and distribution shares only.

Sources

GHL: Full contact pull, Vodyssey Marketing location, 54,542 contacts on 2026-08-04. Income, capital, intent among form completers. No PII in this report.
Meta: Inferred age, gender, and state audience mix, window Jul 5 – Aug 4 2026 (last 30 days). Booking and webinar funnels separate. No spend, cost, or engagement-rate metrics in this report.
Members: State concentration tiers from Vodyssey member density heatmap.

Notes

Income/capital averages use band midpoints (documented on those sections). Band percentages are the primary fact.
Capital top band is $500k+ only — cannot separate $1M+ capital without a new form field. The large $1M+ group is on income.
Meta age/gender are inferred, not declared. State map is audience geography share, not performance by state.
Gender and age are absent from GHL; Meta fills those gaps for audience description only.