How reArmenia’s AI Courses Achieved 5x Return on Ad Spent

The Challenge: From Zero Traction to a Scalable Model

When reArmenia launched their AI education courses, the mission was ambitious: to bring cutting-edge AI knowledge to a wider audience through accessible online learning. However, despite having a strong product, their advertising efforts were not yielding results.

Before collaborating with us, they faced several challenges:

• No traction from ads, and campaigns were not optimized for results.

• A funnel that did not align with Meta’s algorithm for conversions.

• Unclear audience targeting, with multiple Ideal Customer Profiles (ICPs) but no data on which one would convert.

  
  

Their main goal was clear: profitably enroll students and achieve a 5x return on ad spend.

The Strategy: Restructuring, Testing, and Data-Driven Scaling

To transform their ads into a profitable growth engine, we had to completely rethink our approach. Here’s what we did:

Full Ads Setup Redesign

We rebuilt their campaigns from scratch. This ensured alignment with Meta’s optimization system and tracked the right objectives.

Creative Testing Engine

We deployed multiple creative formats, including videos, story ads, and post ads. Each format was designed to test different angles and visuals. The goal was to quickly identify which creative style resonated most with each audience.

Audience Experimentation

Instead of guessing, we ran structured A/B tests across custom audiences, retargeting pools, and broad targeting. This helped us discover the highest-performing ICPs.

Message & Positioning Refinement

With each test, we refined our copy, messaging, and hooks. We aimed to highlight the true value of the courses in ways that resonated with learners.

Funnel Revision

We adjusted how Meta defined success for the campaign. We also restructured the funnel to better capture and nurture potential students. Additionally, we conducted heavy Conversion Rate Optimization (CRO) analysis and provided improvement recommendations.

Execution: Navigating Challenges with Precision

Like any high-growth campaign, challenges surfaced quickly:

Multiple ICPs

Early campaigns showed that not all audience segments converted equally. By running controlled A/B tests, we narrowed down the audiences with the strongest intent and purchasing power.

Algorithm Learning Phase

As expected, Meta’s learning phase made results unstable at first. Instead of panicking, we “played the algorithm’s game.” We tested different bidding strategies, audience sizes, and creative mixes until the campaigns stabilized.

Every challenge became an opportunity to optimize smarter.

Results: 95% of Revenue Driven by Ads in Month One

The transformation was immediate and measurable:

• 95% of company revenue came directly from ads in the first month.

• Achieved up to 5x ROAS, meeting and exceeding the client’s main profitability goal.

• Reduced CAC while increasing the number of qualified leads.

• Created a repeatable strategy that scaled revenue with confidence.

  
  

The client was not just satisfied; they were thrilled. For the first time, ads were not a sunk cost. They became the engine of revenue growth.

Key Results

• 95% of monthly company revenue from our ad campaigns.

• 5x ROAS achieved.

• Lowered CAC and grew the qualified student base.

• Funnel rebuilt & optimized for Meta’s success metrics.

  
  

This is the kind of transformation we create: turning underperforming ads into a scalable revenue engine.

Conclusion: The Path Forward

The success of this campaign illustrates the power of a well-structured advertising strategy. By focusing on data-driven decisions and continuous optimization, we can achieve remarkable results.

If you’re ready to transform your advertising efforts and achieve similar success, let’s book a call. Discover what we can achieve together.

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