As the custom apparel industry becomes increasingly more competitive, we see businesses who are struggling to acquire high quality leads at a sustainable price. Daniel George, a premium custom apparel brand was faced with this overwhelming challenge as their cost per lead had skyrocketed to $626, making it impossible for them to scale their business while earning a profit. Thanks to our CausalFunnel AI, our Visitor Conversion Booster and Return on Ads Spend Optimizer tools, we were able to reduce their CPL by an amazing 7x, making it only $80. In this case study, we’ll show you how our AI automation and ecommerce SEO services completely changed their marketing efforts and lead generation process.
Specializing in high end, custom tailored apparel, Daniel George provides a unique mix of personalization and craftsmanship. Despite their strong reputation and loyal customer base, their clothing ads and marketing efforts were not performing well enough. The company was forced to spend a significant amount of their budget on digital ads for clothing, but the high CPL was making them question if their investment was worth it for Google Ads for online clothing stores.
The biggest issue in their marketing strategy was that they were targeting the wrong audience. Visitors were coming to their website, but they were not converting into paying customers which led to a low return on investment. They were relying on broad, high cost keywords that were not attracting serious buyers. In order to stay competitive and grow their business, Daniel George came to us for a data drive solution that would improve their conversion rates.
After Daniel George turned to us for support, our team was able to transform their marketing approach. Thanks to our AI powered platform we identified high intent customer personas, analyzed user behavior, and implemented personalized nudges to increase conversion rates. By using advanced machine learning, we optimized their landing page experience and ad spend to ensure the most efficient ads. We began retargeting user segments who were hesitant to make a purchase immediately, but were interested in custom apparel.
In addition, our team was able to implement real time A/B testing on their ads and landing pages. These tests allowed us to determine the most effective messages, images, and offers which significantly improved their engagement rate. Within a matter of weeks they saw an increase in click through rates and a decrease in abandonment rates which led to a huge drop in CPL.
All in all, after we implemented our CausalFunnel AI, visitor conversion tool and return on ad spend optimizer, Daniel George saw a 7x decrease in cost per lead, going from $626 to only $80. Thanks to our AI driven insights, strategic ad spend optimization and personalized incentives, we saw a great improvement in lead generation efficiency. This case study has shown how automation and data driven Ecommerce SEO services can improve growth in high CPL industries, showing the need for AI powered marketing solutions in our digital world.
Below are the cost and return numbers before Causalfunnel optimization (Feb 24th 2024 to March 18th 2024):
Below are the cost and return numbers after causalfunnel optimization (Feb 24th 2025 to March 18th 2025):
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