GD IND

Seller’s Concern

GD IND is a premium fitness brand specializing in compact exercise equipment. To differentiate itself in a market saturated with low-cost imports, the brand positioned itself at the high end.

In this strategy, the focus wasn’t just on increasing sales volume—it was on making sure that every advertising dollar led to actual profit.

Achieving this required precise decision-making across multiple data points: product-level profitability, inventory availability, and conversion rates.

However, with only one person managing advertising, it was nearly impossible to make timely decisions—especially during repeated out-of-stock situations, where deciding whether to pause ads became a constant challenge.

At a time when flexibility and precision were needed, resource constraints were a clear bottleneck.

LG Optapex Solution

1) A Fundamental Shift in Campaign Structure: Full Automation and Keyword Optimization

LG Optapex automatically created and managed AUTO, Manual Keyword, and Manual Product campaigns for each product.

Within these campaigns, high-performing keywords were automatically added, while underperforming ones were deprioritized—streamlining the entire ad structure.

Thanks to this system, the operator no longer needed to manually select keywords or evaluate performance. Optapex continuously made real-time decisions based on live data.

For key products (Hero ASINs), this resulted in consistently stable ad delivery—directly contributing to profit growth.

2) Data-Driven Budget Allocation: Strategic Focus Meets Smart Reductions

Optapex didn’t just rely on surface-level metrics like CTR or CVR. Instead, it analyzed trends in total sales, organic sales, and product lifecycle stage to allocate budgets more intelligently.

By identifying whether a product was in a growth, maturity, or decline phase, Optapex adjusted budgets accordingly.

As a result, high-potential products received an average 17.6% budget increase, while products with low or declining efficiency saw an average 34.9% reduction.

For GD IND, which needed to manage multiple products at once, this auto-prioritization significantly reduced operational burden and saved decision-making resources.

3) Time-Slot Optimization and Inventory-Aware Adjustments

GD IND often faced stockout issues with certain products, resulting in wasted ad spend on listings that couldn’t convert.

To solve this, LG Optapex synced with real-time inventory data and automatically adjusted ad budgets when stock fell below a set threshold.

Additionally, the system identified high-conversion time windows and increased bids by an average of 10.08% during those hours, enabling greater revenue from the same ad budget.

4) Improved Targeting Accuracy

Amazon ad attribution can be deceptively complex. When a customer clicks on an ad for Product A but ends up purchasing Product B, that sale is still attributed to Product A’s campaign.

LG Optapex accounts for this nuance by tracking whether ad campaigns are truly contributing to the intended product group.

For GD IND, this led to a 6.2% improvement in targeting accuracy, ensuring that ad spend was more closely aligned with strategic objectives.

Rather than just measuring conversions, Optapex provided deeper insight into which product actually converted, allowing for more refined performance optimization.

Results

Over a 3-month period, GD IND saw a 7.7% increase in total sales and a 5.2% increase in overall profit. Although ad spend rose slightly, the gains came from increased investment in high-performing products and reduced waste in underperforming ones—ultimately improving profitability.

Conclusion

GD IND always prioritized profitability over raw spend.Rather than simply running more ads, the brand focused on whether ad investments were delivering actual business returns.

LG Optapex supported this strategy by automating a complex set of decisions: from campaign generation and keyword optimization, to inventory-based budget adjustments and precise targeting.

With Optapex, GD IND transitioned from manual guesswork to a systematized, performance-driven advertising model—designed for profit, not just impressions.