87% Increase in ROAS Made a Million Dollar Budget 2x Efficient
TadiBrothers is a leading provider of vehicle safety solutions, and was dealing with a significant challenge in terms of optimizing their Google Ads performance. Despite having a strong market presence and a consistent ad spend amount, their return on ad spend (ROAS) remained stagnant at 1.98. This limited their profitability and prevented the company from scaling up their digital advertising efforts effectively. Deciding it was time for help, TadiBrothers turned to us here at CausalFunnel to optimize their Google Ads. In less than seven months, our AI driven Google Ads Optimization team was able to present an 87% increase in ROAS, leading them to reach 3.33. By optimizing their Google Shopping feed, improving landing page engagement, refining ad targeting and discovering new user segments, we successfully transformed TadiBrothers paid advertising strategy.
Background & Problem
TadiBrothers specializes in providing high quality vehicle safety solutions, including parking sensors, fleet safety accessories and backup camera systems. Their customer base includes individuals, businesses and commercial fleets across North America. This wide range of customers makes digital advertising an essential component of their sales strategies. The company was very reliant on Google Ads and Google Shopping campaigns to attract potential customers, but their campaigns were underperforming. From an inefficient budget allocation, a landing page that was not converting and under optimized product feed, their ability to drive profitable ad performance was minimal. Understanding that they needed a more advanced, AI backed approach, TadiBrothers reached out to us to revamp their digital advertising efforts and improve their ROI.
Case Study
TadiBrothers was dealing with persistent challenges with their Google Ads performance that was restricting their ability to scale their business. Dealing with ROAS that are stuck at 1.98, this means that their advertising spend was not bringing in enough of a return to justify investing more. Their budget was misallocated as funds were being focused on low performing products rather than those with higher conversion potential. In addition, their Google Shopping feed was lacking the needed optimizations, which left product listings to perform poorly and search rankings while reducing their visibility among high intent buyers. Their landing pages were failing to engage visitors, leading to a high bounce rate and lost conversion opportunities. Moreover, TadiBrothers was struggling with audience targeting as they were unable to do the proper segmentation needed to engage high value customers which led to underperforming ads.
Aware of these inefficiencies, TadiBrothers reached out to us here at CausalFunnel to implement an advanced optimization strategy to improve their advertising efforts. The focus was on refining campaign structures, leveraging machine learning to improve bidding strategies and reallocating budgets towards high performing products. With automated A/B testing we were able to identify the most effective ad creatives while using AI drive analytics to prioritize only the most relevant keywords. By eliminating wasteful ad spend and shifting investments to more high converting search queries, we were able to improve TadiBrothers advertising efficiency while maximizing return on investments, delivering a cost effective strategy.
How CausalFunnel’s AI Fixed the Problem
Our team here at CausalFunnel began by optimizing TadiBrother’s Google Shopping feed to ensure that product titles, attributes and descriptions were strategically changed to improve their search visibility. AI backed keyword integration and bid adjustments were implemented based on historical data conversion rates to ensure that high performing products were properly promoted. Thanks to our restricted product listings that were aligned with search trends, TadiBrothers were able to see a significant increase in traffic and conversions.
The next step was to refine TadiBrothers’ Google Ads campaign with our AI powered budget allocation and bidding strategies. Our CasualFunnel AI was able to identify low performing keywords and stop wasteful ad spend in order to reallocate funds to high converting search terms. This was possible thanks to the use of dynamic bidding and machine learning based adjustments in order to continuously optimize to ensure that TadiBrothers’ ads were reaching the right audience. Automated A/B testing was able to improve the effectiveness of their ads, allowing the company to refine its messaging and increase engagement rates.
Going beyond ad optimization, our AI was able to work on improving landing page engagement rates. By analyzing user behavior, our team implemented our AI driven platform that provides personalized nudges that strategically place call to action buttons and real time offers to promote conversions. Furthermore, our CausalFunnel AI was able to identify a variety of untapped user segments, allowing TadiBrothers to expand its reach while protecting ad efficiency. By finding new similar audiences that can be targeted with similar characteristics to high value current customers further boosted conversions.
Conclusion
Our team was able to provide TadiBrothers with a successful digital advertising strategy and significantly improve their Google Ads performance. Our strategies yielded an ROAS increase from 1.98 to 3.33 in under seven months, providing an 87% improvement. By optimizing their Google Shopping feed, improving landing page engagement, refining ad campaigns and discovering new user segments, TadiBrothers saw a complete transformation in their paid advertising strategy into a powerful driver of revenue. This case study shows the impact of AI driven digital marketing strategies in optimizing ad performance, protecting sustainable business growth and increasing profitability.
Below are the cost and return numbers before causalfunnel optimization (July 15th 2023 to Feb 20th 2024):
Below are the cost and return numbers after causalfunnel optimization (July 15th 2024 to Feb 20th 2025):
