Pixl Envy / Case 01 / Hospitality / Beach resort

A better booking experience. An organic revenue engine.

Pixl Envy connected search intent, resort evaluation, and the booking journey so qualified guests could move from discovery to reservation with less uncertainty.

Casa Del Mar Beach Resort pool and beachfront on Longboat Key, Florida.

Client

Casa Del Mar

The assignment

Improve the digital guest experience and increase booking revenue from organic search—without relying on paid advertising.

Evidence window

Performance record: 2017–2024

Pixl Envy role

  • Experience strategy and UX
  • Organic search strategy
  • Booking journey conversion engineering
  • Analytics and revenue measurement

2024 / Organic performance

Organic search became the primary revenue engine.

In 2024, Organic Search generated $1,632,926.40—67.53% of Casa Del Mar's $2,418,106.88 in total revenue—without paid advertising.

Organic Search revenue
$1.63M
$1,632,926.40 in tracked 2024 revenue
Share of total revenue
67.53%
Attributed to Organic Search in 2024
Organic users
~36K
Approximately 36,000 users in 2024
Average purchase revenue per user
$42.61
2024 average purchase revenue per user

Long-term context / 2017–2024

$1,125,236.82 $2,418,106.88

Across the available annual record, total revenue moved from $1,125,236.82 in 2017 to $2,418,106.88 in 2024. That is $1,292,870.06 in additional annual revenue, a 114.9% increase.

Long-term business context, not a claim that organic search alone caused every dollar of change.

Archived outcome / 2018

More commercial value from the demand already present.

Annual Google Analytics evidence compares January 1–December 31, 2018 with the same 2017 period.

Revenue
+31.24%
2018 compared with 2017
Ecommerce conversion rate
+26.33%
2018 compared with 2017
Transactions
+29.33%
2018 compared with 2017
Average time on page
+23.88%
2018 compared with 2017

The diagnosis

The traffic problem was really a decision problem.

The useful question was not how to buy more traffic. It was whether an organically acquired guest could understand the resort, find the right accommodation, and reach a confident booking decision without friction.

The diagnostic work reviewed prior-year analytics, checkout abandonment, converting and non-converting traffic patterns, and the competitive experience. That shifted the brief from generating visits to making qualified organic demand easier to understand and act on.

The intervention

Turn behavior into an operating brief.

The work connected measurement, experience, conversion, and commercial outcomes instead of optimizing them as separate assignments.

01

Connect intent to experience

Align organic landing experiences with what prospective guests need to understand when they arrive from search.

02

Make the resort legible

Organize accommodations, amenities, location, and proof around the questions a guest resolves before committing to a stay.

03

Engineer the booking path

Reduce friction between resort discovery, unit evaluation, availability, and the final reservation flow.

04

Measure revenue, not rank

Connect organic users to booking revenue and evaluate commercial movement instead of treating rankings or traffic as the finish line.

Experience artifact

Make the resort easier to evaluate before asking for the booking.

The archived experience placed the resort story, third-party recognition, accommodations, amenities, and booking paths into one continuous decision sequence.

Archived Casa Del Mar website showing the resort story, accommodations, amenities, and booking calls to action.
Archived Casa Del Mar website experience. Open full capture →

Source evidence

The numbers remain attached to the record.

Each comparison below is reproduced from the preserved Google Analytics source capture and described in plain language.

01
2018 commercial comparison

Google Analytics compares January 1–December 31, 2018 with the same 2017 period. The source reports $1,476,763.84 in revenue compared with $1,125,236.82.

Google Analytics ecommerce comparison showing 2018 revenue up 31.24 percent, conversion rate up 26.33 percent, transactions up 29.33 percent, and average order value up 1.48 percent compared with 2017.
02
2018 engagement comparison

The same annual comparison shows average time on page up 23.88% and bounce rate down 25.82%. Pageviews were down 10.50%, reinforcing why volume alone was not the operating target.

Google Analytics engagement comparison showing 2018 average time on page up 23.88 percent and bounce rate down 25.82 percent while pageviews declined 10.50 percent compared with 2017.
03
First-half 2019 comparison

Google Analytics compares January 1–June 30, 2019 with the same 2017 period. The source reports $1,079,405.62 in revenue compared with $745,150.56.

Google Analytics ecommerce comparison showing first-half 2019 revenue up 44.86 percent, conversion rate up 42.16 percent, transactions up 33.33 percent, and average order value up 8.64 percent compared with first-half 2017.

Pixl Envy / Next move

Find the break between attention and revenue.

Start a conversation