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Social Media Marketing + Paid Ads | Goa, India

Solace Bay Wellness Resort

Turned “Seasonal Spikes” Into Predictable Bookings

The Claim

In 5 months, we turned social into a booking proof system and used paid to scale only the narratives that produced qualified inquiries. Not more reach. More booked stays. At healthier margins.

Not more reach. More booked stays. At healthier margins.

Timeframe:

5 months

Case Type: Revenue acceleration + margin recovery
Offer: 3 to 7 night wellness retreats (Ayurveda + spa + yoga)
Primary Goal: Increase direct bookings in shoulder season without discounting, and reduce reliance on OTAs and deal traffic

Performance Snapshot

Direct Bookings

0/mo

Up from 62
Direct Revenue

0 Cr

Up from ₹1.48 Cr
Inquiry Conversion

0%

Up from 14%
Cost per Inquiry

0

Reduced from ₹3,950
OTA Share

0%

Down from 41%
Discounted Share

0%

Down from 26%

Average booking value: ₹2.38 L → ₹2.62 L. Blended performance data.

Baseline Reality

Struggling for Control

The resort was not struggling for attention. It was struggling for control.

  • Bookings spiked on weekends and campaign bursts
  • Weekdays and shoulder season relied on OTAs and deal sites
  • Social looked good but did not close
  • Ads generated inquiries, but many were price-first, not experience-first
  • Sales team spent time on low-fit leads
  • Discounting was becoming the default lever
Constraint

High-Consideration Barriers

  • High consideration purchase with a trust barrier
  • Buyers want proof of real experience, not a brochure
  • Long decision cycle, often involving a partner or family approval
  • Inventory is time-bound, missed weeks cannot be recovered
  • Brand could not compete on price without damaging positioning
Leverage Insight

Narrative Alignment

The buyer is trying to answer: “Will this actually feel like the promise?”

Organic social alone would improve perception, but it cannot reliably reach the right intent segments on schedule.

Paid can buy attention, but if the first impression does not remove hesitation, the inquiry becomes price-driven and expensive.

Execution

Intervention Framework: Building Proof That Closes

Social Media Marketing Pillars
  • Defined 4 core belief pillars: Outcomes, Environment, Trust/Safety, Process clarity
  • Built repeatable walkthroughs: “Day-in-the-life”, guest stories, program inclusions
Commitment Content
  • Introduced “commitment content”: What to pack, who it is for, who it is not for
  • Content pre-qualified leads before they inquired.
Paid Narrative Layers
  • Split paid: High intent capture, social proof amplification, and retargeting reinforcement
  • Experience page first (belief), inquiry form second (qualification)
Qualification Control
  • Added qualification gates: travel month, length of stay, budget range, and retreat purpose

Paid: Scale Only the Narratives That Sell

  • Split paid into 3 layers: High intent capture, Social proof amplification, and Retargeting
  • Rebuilt landing path into 2 steps: Experience page (belief) → Inquiry form (qualification)
  • Shifted optimization event from “form submit” to “qualified inquiry” once data existed

Added qualification gates:

travel month length of stay budget range wellness purpose

Paid stopped chasing clicks.

It started buying qualified stay intent.

Sequence and Timing

Phase 1 (Month 0–1)

Clean the Path

  • Build proof system and clean landing path.
  • Remove deal-driven messaging.
Result: Direct brand clarity
Phase 2 (Month 1–3)

Deploy Distribution

  • Deploy paid distribution on proof creatives.
  • Add qualification gating and retargeting discipline.
Result: Inquiry quality lift
Phase 3 (Month 3–5)

Shift Demand

  • Scale shoulder season targeting.
  • Reduce OTA dependency by shifting demand into direct.
Result: Margin recovery

Order mattered.

If we ran paid before proof, we would have bought low-fit traffic.

Economics Translation

Direct revenue increased from ₹1.48 Cr to ₹2.41 Cr. Incremental lift: ₹0.93 Cr per month. OTA share reduced from 41% to 27%. Shifted ₹0.34 Cr to direct = ₹6.12 L commission saved per month.

Baseline (Month 0)
41% OTA Share
26% Discounted Bookings
14% Inquiry Conversion
Direct Booking Revenue ₹1.48 Cr OTA Dependency: High
Month 5
27% OTA Share
14% Discounted Bookings
22% Inquiry Conversion
Direct Booking Revenue ₹2.41 Cr +₹0.93 Cr Monthly Lift

Revenue increased. Efficiency improved. Margin integrity strengthened.

Modeled unit economics based on reported margin structure. Not a revenue guarantee.

Control System

Cost per qualified inquiry Qualified inquiry rate Inquiry to booking conversion OTA vs direct mix Discount share of bookings Response speed speed

Next 90 Days

  • Expand intent capture into two new feeder cities
  • Improve weekday occupancy by targeting 5-night packages
  • Add referral loop via post-stay UGC system
  • Increase booking conversion by tightening sequences

If your resort sells through OTAs and discounts whenever demand softens, you do not have a marketing problem.

You have a control problem.

We will show you how to build proof that closes, push it to the right intent segments, and convert inquiries into direct bookings without price erosion.

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