The Problem:

Businesses can spend enormous amounts of money on ads without a clear understanding of who they’re speaking to or what actually resonates.

Ads become a guessing game and rather than a system for learning.

The result is:

  • Inconsistent outcomes
  • Unclear direction
  • Little understanding about why something worked – or didn’t

Flow State Experience is a wellness brand built around a strong in-person community through hosting the Wellness Festival, Pranafest.

They were expanding into an online platform and subscription-based community, and needed ads to attract the right audience.

But this introduced a new challenge:

  • Who is the right audience online?
  • What messaging actually resonates with them?
  • How do you know before spending heavily on ads?

THE CHALLENGE:
Build an ad system that doesn’t just generate results – but reveals what actually resonates, and why.



The Problem:

Businesses can spend enormous amounts of money on ads without a clear understanding of who they’re speaking to or what actually resonates.

Ads become a guessing game and rather than a system for learning.

The result is:

  • Inconsistent outcomes
  • Unclear direction
  • Little understanding about why something worked – or didn’t

Flow State Experience is a wellness brand built around a strong in-person community through hosting the Wellness Festival, Pranafest.

They were expanding into an online platform and subscription-based community, and needed ads to attract the right audience.

But this introduced a new challenge:

  • Who is the right audience online?
  • What messaging actually resonates with them?
  • How do you know before spending heavily on ads?

THE CHALLENGE:
Build an ad system that doesn’t just generate results – but reveals what actually resonates, and why.


The Shift:

Most ads push a single message and hope it works.

Instead, this approach used multiple messages to observe how different people respond.

  • Single message → Multiple messages across audience types
  • Guessing what works → Observing real audience behaviour
  • One campaign → A structured system of testing and refinement
  • “Pain point” marketing → Identity-based messaging

Rather than trying to convert immediately, the ads were designed to qualify attention first.

Brand Awareness ads focused on identity resonance – identifying who connected with the message based on engagement.

Product Offer ads were then used to retarget those audiences and measure conversion.

This created a system where ads didn’t just perform – they provided feedback.

THE GOAL:
Use advertising as a learning system to understand:

  • what drives an audience to take action
  • who the audience is
  • what they respond to


The Shift:

Most ads push a single message and hope it works.

Instead, this approach used multiple messages to observe how different people respond.

  • Single message → Multiple messages across audience types
  • Guessing what works → Observing real audience behaviour
  • One campaign → A structured system of testing and refinement
  • “Pain point” marketing → Identity-based messaging

Rather than trying to convert immediately, the ads were designed to qualify attention first.

Brand Awareness ads focused on identity resonance – identifying who connected with the message based on engagement.

Product Offer ads were then used to retarget those audiences and measure conversion.

This created a system where ads didn’t just perform – they provided feedback.

THE GOAL:
Use advertising as a learning system to understand:

  • what they respond to
  • what drives an audience to take action
  • who the audience is

What was Done:

Ad Campaign System (105 Assets Total):

  • 5 x Customer Avatars (based on behavioural and emotional traits)
  • 3 x Brand Awareness Ads per avatar
  • 1 x Product Offer Ad per avatar
  • Male + Female voiceover variations
  • 3 formats per ad: Vertical, Post, Horizontal

Structure:

  • Each avatar had distinct messaging, tone, and positioning
  • Brand Awareness ads tested identity resonance and engagement
  • Product Offer ads retargeted engaged viewers
  • Campaigns were designed to be adjusted based on performance data

Key Decisions:

  • Built avatars from real community insight, not assumptions
  • Focused on emotional and behavioural alignment over demographics
  • Designed the system to evolve.


What was Done:

Ad Campaign System (105 Assets Total):

  • 5 x Customer Avatars (based on behavioural and emotional traits)
  • 3 x Brand Awareness Ads per avatar
  • 1 x Product Offer Ad per avatar
  • Male + Female voiceover variations
  • 3 formats per ad: Vertical, Post, Horizontal

Structure:

  • Each avatar had distinct messaging, tone, and positioning
  • Brand Awareness ads tested identity resonance and engagement
  • Product Offer ads retargeted engaged viewers
  • Campaigns were designed to be adjusted based on performance data

Key Decisions:

  • Built avatars from real community insight, not assumptions
  • Focused on emotional and behavioural alignment over demographics
  • Designed the system to evolve.

The Result

Instead of running ads and hoping they worked, the business now has a system that improves over time.

What changed:

  • Ads now generate insight, not just clicks
  • Messaging is shaped by real audience response
  • The business can identify which audiences actually resonate
  • Marketing decisions are based on feedback, not assumption

What the business now has:

  • A repeatable ad system that learns
  • Clearer understanding of their audience
  • Messaging aligned to real customer identity
  • A foundation for long-term audience growth

What this makes possible:

  • More efficient ad spend
  • Stronger audience-product alignment
  • Better future campaigns built on real data
  • A feedback loop that informs marketing, content, and product decisions


The Result

Instead of running ads and hoping they worked, the business now has a system that improves over time.

What changed:

  • Ads now generate insight, not just clicks
  • Messaging is shaped by real audience response
  • The business can identify which audiences actually resonate
  • Marketing decisions are based on feedback, not assumption

What the business now has:

  • A repeatable ad system that learns
  • Clearer understanding of their audience
  • Messaging aligned to real customer identity
  • A foundation for long-term audience growth

What this makes possible:

  • More efficient ad spend
  • Stronger audience-product alignment
  • Better future campaigns built on real data
  • A feedback loop that informs marketing, content, and product decisions

The Takeaway:

Most ads are treated as a way to get results, but they can be used to understand what actually works.

With the right approach, ads can compound over time, leading With the right structure, advertising becomes a system that:

  • reveals audience behaviour
  • clarifies messaging
  • reduces guesswork
  • improves decision-making over time

This shifts marketing from:

“What should we say?”
to
“What is actually resonating?”

When ads are designed to learn, they compound in value over time – not just in performance, but in understanding.

When running ads, the question to ask is:

Are your ads just spending money – or are they helping you understand who your audience actually is?



The Takeaway:

Most ads are treated as a way to get results, but they can be used to understand what actually works.

With the right approach, ads can compound over time, leading With the right structure, advertising becomes a system that:

  • reveals audience behaviour
  • clarifies messaging
  • reduces guesswork
  • improves decision-making over time

This shifts marketing from:

“What should we say?”
to
“What is actually resonating?”

When ads are designed to learn, they compound in value over time – not just in performance, but in understanding.

When running ads, the question to ask is:

Are your ads just spending money – or are they helping you understand who your audience actually is?


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