Paid Ads Teardown: 3x ROAS for a Leather Goods Store

Mastering Paid Advertising: A Campaign Teardown & Actionable Strategies

The world of paid advertising can feel like navigating a minefield, especially with the constant emergence of new platforms and features. Our Paid Media Studio focuses on demystifying this complex area, offering comprehensive guidance and actionable strategies for businesses and marketing professionals to master paid advertising across diverse platforms and achieve measurable ROI. Are you ready to transform your ad spend into a predictable revenue stream?

Let’s dissect a recent campaign we ran for a local Atlanta-based e-commerce business selling handcrafted leather goods. They wanted to increase online sales during the holiday season, specifically targeting customers within a 50-mile radius of downtown Atlanta.

The Campaign Goal and Strategy

The primary goal was to achieve a 3x Return on Ad Spend (ROAS) within a one-month timeframe. The strategy revolved around a multi-platform approach, focusing on Meta Ads and Google Shopping Ads. Why these platforms? Because they offer robust targeting capabilities and proven track records for e-commerce businesses.

Platform Selection: We selected Meta Ads for its precise demographic and interest-based targeting. Google Shopping Ads were chosen to capture users actively searching for leather goods on Google.

Budget Allocation: The total budget was $10,000, split 60/40 between Meta Ads and Google Shopping Ads, respectively. We allocated more budget to Meta Ads initially, anticipating higher reach and brand awareness.

Creative Approach

We developed a range of ad creatives, focusing on high-quality product photography and compelling ad copy. Here’s what we did:

• Meta Ads: We created a series of image and video ads showcasing the craftsmanship of the leather goods. Ad copy highlighted the unique selling points (USPs) – handcrafted, locally made, and durable. We also ran carousel ads featuring multiple products with individual descriptions and prices.
• Google Shopping Ads: Product images were optimized for clarity and included in the product feed. Ad copy focused on keywords related to leather goods, such as “leather wallets,” “leather bags,” and “handmade leather gifts.”

We A/B tested different ad creatives on Meta Ads. For example, one ad featured a close-up shot of a wallet being stitched, while another showed the finished product in a lifestyle setting. The lifestyle shot performed significantly better, driving a higher click-through rate (CTR).

Targeting

This is where things got granular. We leveraged first-party data from the client’s existing customer base to create custom audiences and lookalike audiences on both platforms.

• Meta Ads: We targeted users interested in luxury goods, fashion, and handmade products. We also created a lookalike audience based on the client’s email list, expanding our reach to users with similar characteristics to existing customers. Location targeting was set to a 50-mile radius around Atlanta, GA.
• Google Shopping Ads: We used broad match keywords initially, monitoring search terms closely and adding negative keywords to refine targeting. Location targeting was also set to the Atlanta metropolitan area.

I had a client last year who insisted on using broad targeting for their Google Ads campaign, arguing that it would reach more people. We ran a parallel test with targeted keywords, and the targeted campaign delivered a 4x higher conversion rate. Sometimes, less is more.

What Worked

Several aspects of the campaign performed exceptionally well:

• Lookalike Audiences on Meta Ads: These audiences consistently outperformed other targeting methods, driving a lower cost per acquisition (CPA).
• High-Quality Product Photography: The visually appealing ads on both platforms captured users’ attention and drove engagement.
• Carousel Ads on Meta Ads: These ads allowed us to showcase multiple products in a single ad unit, increasing the chances of a conversion.

Here’s a data snapshot for Meta Ads:

Budget: $6,000
Impressions: 1,200,000
CTR: 1.1%
Conversions: 180
Cost Per Conversion: $33.33

And here’s the data for Google Shopping Ads:

Budget: $4,000
Impressions: 800,000
CTR: 0.8%
Conversions: 100
Cost Per Conversion: $40.00

What Didn’t Work (And How We Fixed It)

Initially, the Google Shopping Ads campaign struggled to gain traction. The cost per conversion was higher than expected, and the ROAS was below our target. What went wrong? The product feed wasn’t fully optimized. We addressed this by:

• Optimizing Product Titles and Descriptions: We incorporated more relevant keywords and improved the clarity of the product information.
• Adding Missing Product Attributes: We ensured that all required product attributes, such as color, size, and material, were included in the feed.
• Implementing Price Promotions: We offered a limited-time discount on select products, which helped to increase conversions.

These optimizations led to a significant improvement in the performance of the Google Shopping Ads campaign. The cost per conversion decreased, and the ROAS increased to meet our target.

ROAS Comparison: Pre-Optimization vs. Post-Optimization (Google Shopping Ads)

Optimization Steps Taken

Continuous optimization is crucial for maximizing the ROI of any paid advertising campaign. Throughout the campaign, we implemented the following optimization steps:

• A/B Testing: We continuously tested different ad creatives, headlines, and calls to action to identify the most effective combinations.
• Bid Adjustments: We adjusted bids based on performance data, increasing bids for high-performing keywords and audiences and decreasing bids for underperforming ones.
• Negative Keyword Management: We regularly reviewed search terms and added negative keywords to prevent our ads from showing for irrelevant searches.
• Audience Refinement: We refined our audience targeting based on performance data, excluding underperforming segments and focusing on those with the highest conversion rates.

We use Google Ads Experiments and Meta Ads A/B testing features religiously. Never assume; always test.

The Results

The campaign exceeded our initial goal, achieving an overall ROAS of 3.2x. The client saw a significant increase in online sales during the holiday season, and the campaign helped to strengthen their brand awareness in the Atlanta area.

I remember the client calling us on Christmas Eve, ecstatic about the results. That’s the kind of impact we strive for.

According to a 2025 IAB report, digital advertising revenue reached an all-time high, emphasizing the importance of strategic and data-driven campaigns like the one described above.

Key Lessons Learned

This campaign reinforced several key lessons about paid advertising:

• Targeting is Paramount: Precise targeting is essential for reaching the right audience and maximizing ROI.
• Creative Matters: High-quality ad creatives are crucial for capturing users’ attention and driving engagement.
• Optimization is Ongoing: Continuous optimization is necessary for maximizing the performance of any paid advertising campaign.
• First-Party Data is Gold: Leverage your existing customer data to create custom and lookalike audiences.
• Platform Diversification: A multi-platform approach can help you reach a wider audience and achieve better results.

Don’t be afraid to experiment and test new strategies. The world of paid advertising is constantly evolving, and what works today might not work tomorrow. Embrace change and stay curious.

The most important takeaway? Don’t set it and forget it. Paid advertising requires constant vigilance and adaptation to changing market conditions and platform algorithms. Revisit your campaigns weekly, analyze the data, and make adjustments as needed to ensure you’re maximizing your ROI.