Boost Your ROAS Like La Maison Simons

Navigating Google Performance Max with a vast product catalog often feels like relinquishing control, hoping the algorithm makes the right choices. La Maison Simons transformed this challenge by shifting from rigid, category-based segmentation to a dynamic, performance-driven strategy, unlocking significant growth without increasing their advertising budget. Their journey from a “black box” campaign to a precise revenue engine offers a clear blueprint for any marketer.

The initial approach of organizing campaigns by product category seemed sensible but created major inefficiencies. A single best-selling item would consume the entire budget, leaving newer or underperforming products with no opportunity to gain traction. This static method provided limited visibility and forced teams into constant manual adjustments, while the platform’s automation simply amplified what was already working, stifling potential growth.

The pivotal change involved segmenting products based on actual performance data. By utilizing tools like Channable Insights, Simons began grouping items dynamically according to key metrics such as ROAS, clicks, and visibility. Products now automatically move between segments like “Stars,” “Zombies,” and “New Arrivals” as their performance changes. This eliminated manual reassignment and ensured budget allocation was intelligent and fluid. As their Digital Campaign Manager noted, this stopped any one popular product from monopolizing all the funds.

Another critical adjustment was shortening the data analysis window. Instead of reviewing performance over a standard 30-day period, the team adopted a rolling 14-day view. This allowed for faster reactions and sharper campaign accuracy, crucial for a fast-moving retail catalog. Decisions became more timely, reducing wasted ad spend on trends that had already peaked or products that were losing momentum.

The strategy’s success on Google Performance Max prompted a logical expansion. Simons applied the same segmentation logic automatically across other major advertising channels, including Meta, Pinterest, TikTok, and Criteo. This created a consistent, cross-channel optimization framework where insights and performance groupings compounded, strengthening overall marketing efficiency.

The results were substantial and measurable. Without increasing ad spend, La Maison Simons achieved a dramatic ROAS increase from approximately 800% to around 1500%. They also saw a decrease in cost-per-click from $0.37 to $0.30 and a click-through rate lift from 1.45% to 1.86%. Notably, they achieved a 14% increase in average order value and saw New Arrivals campaigns hit a 1300% ROAS. Perhaps most tellingly, products that were previously invisible became unexpected profit drivers once they finally received targeted budget allocation.

This case underscores a vital lesson: intelligent automation restores marketing control; it doesn’t remove it. By setting the right data-driven rules, teams can guide the algorithm, influence which products succeed, and scale what works. The process moves marketing from reactive tweaking to proactive strategy.

For businesses looking to replicate this success, a clear action plan emerges. Begin by classifying products into performance-based segments. Automate the reassignment of these products to campaigns using real-time data. Commit to refreshing product insights on a shorter, 14-day cycle to maintain agility. Then, extend this segmentation logic uniformly across all paid channels. Finally, consistently scale winning strategies while continuously testing products that haven’t yet had their moment. The path to better results lies not in spending more, but in segmenting smarter.

(Source: Search Engine Land)