Case Study: How a Chilean Retailer Achieved Over USD 64.5K Monthly in Just 60 Days with Buzzly AI

In Chile’s competitive retail e-commerce market, many brands face a common challenge: campaigns generate sales but struggle to scale profitably. When ad spend increases, returns often drop, and growth stalls. This story shows how one retailer broke through that barrier, using automation and artificial intelligence to more than double their monthly revenue in just two months.

Starting Point: A Retailer Stuck in Growth Limbo

This Chilean e-commerce retailer offers a wide range of products: furniture, home goods, office supplies, hardware, toys, and climate control items. Despite a broad catalog, their monthly sales hovered between USD $8.6K and $12.9K. Their advertising campaigns lacked a scalable structure, creatives were not optimized for performance, and their return on ad spend (ROAS) was unstable.

The market conditions made growth difficult. Rising advertising costs and fierce competition meant that increasing ad budgets often led to diminishing returns. The retailer’s goal was clear: reach USD $32.3K in monthly revenue with a sustainable and profitable ROAS.

Challenges in the Chilean Digital Market

The digital retail landscape in Chile presents unique hurdles:

• High competition across multiple retail categories.

• Increasing costs for advertising on platforms like Google Ads and Meta Ads.

• Demanding consumers who expect personalized and relevant offers.

• Limited scalability of existing campaign structures.

  
  

For many retailers, these factors create a ceiling on growth. Spending more on ads without a clear strategy often results in wasted budget and stagnant sales.

How Buzzly AI Changed the Game

Buzzly AI brought automation and machine learning to the retailer’s advertising efforts. The platform helped build a structured, scalable campaign system across Google Ads and Meta Ads, focusing on:

• Data-driven audience targeting to reach the most relevant customers.

• Automated bid adjustments to maximize ROAS.

• Creative optimization based on real-time performance metrics.

• Cross-platform integration to unify messaging and budget allocation.

  
  

Within 60 days, the retailer’s monthly revenue jumped to over USD $64.5K, with USD $86.1K in sales directly attributed to paid ads. This represented a 694% increase in sales attributable to advertising and a ROAS of 7.69 on Google Ads alone.

Key Strategies That Delivered Results

1. Building a Scalable Campaign Structure

The first step was redesigning the campaign architecture. Instead of broad, unfocused ads, Buzzly AI segmented campaigns by product categories and customer intent. This allowed for:

• Better budget control per segment.

• Tailored messaging for each audience.

• Easier identification of top-performing ads.

  
  

2. Leveraging Automation for Real-Time Optimization

Manual campaign management can’t keep up with rapid market changes. Buzzly AI automated bid management and budget shifts, responding instantly to performance data. This ensured ad spend was always directed to the highest-return opportunities.

3. Creative Testing and Adaptation

The platform continuously tested different ad creatives, headlines, and calls to action. Underperforming ads were paused quickly, while successful ones received more exposure. This dynamic approach kept the campaigns fresh and engaging.

4. Integrating Google Ads and Meta Ads

By managing both platforms together, Buzzly AI optimized cross-channel performance. It balanced spend between Google’s search and display networks and Meta’s social channels, maximizing reach and conversions without overspending.

Concrete Results in Numbers

• Monthly revenue increased from USD $8.6K–12.9K to over USD $64.5K.

• Sales attributed to ads reached USD $86.1K in just 60 days.

• ROAS on Google Ads hit 7.69, a significant improvement over previous unstable returns.

• Advertising spend grew by 412%, but with a profitable return.

• No prior use of Meta Ads, yet the platform quickly delivered strong results.
  

  

  
  

Lessons for Other Retailers

This case shows that even in tough markets, growth is possible with the right tools and approach:

• Structure campaigns for scalability from the start.

• Use automation to react quickly to changing data.

• Test creatives continuously to keep engagement high.

• Combine platforms strategically to cover multiple customer touchpoints.

• Focus on ROAS, not just revenue, to ensure sustainable growth.

  
  

What’s Next for This Retailer?

With a proven system in place, the retailer plans to:

• Expand product categories further.

• Increase ad budgets cautiously while maintaining ROAS.

• Explore additional channels and formats supported by Buzzly AI.

• Use insights from current campaigns to refine customer targeting.

  
  

This story highlights how combining automation and AI with a clear strategy can unlock growth that seemed out of reach. Retailers facing similar challenges can learn from this example to build campaigns that scale profitably, even in competitive markets.