Case studies

Case Study – Energy Powersports: Amazon Sales Skyrocket

Amazon PPC Reimagined: How Ursa Marketing Doubled Energy Powersports’ Sales While Cutting the Budget by 50%

Imagine cutting your advertising budget in half without reducing sales. That is exactly what Ursa Marketing achieved for Energy Powersports, propelling their ROAS from 3 to 14 in just one year. In an ultra-competitive Amazon market where cost-per-click keeps rising, discover how a high-precision PPC strategy can make all the difference.

Results: 2025 vs. 2024

  • $34k in ad spend (vs. $76k)
  • $503k in generated revenue (vs. $224k)
  • 14.8 ROAS (vs. 3)
  • $140 Average Order Value (vs. $115)
  • 1 million sessions (vs. 740k)

The Digital Marketing Strategies and Tactics Deployed

To meet the challenges outlined above, we implemented a solid and sustainable Amazon PPC strategy.

 

Amazon Ads Sponsored Products

Segmentation by major product family to adapt targeting, bids, and budgets to each category. Ad groups organized into three segments:

  • Products to develop: Strategic products with high potential.
  • Suggested products: Products recommended by Amazon, often high-performing.
  • Top sellers: Current or historical best-sellers to maximize ROI.

An approach based on Amazon best practices:

  • Granular campaigns (1 ASIN/group, where possible).
  • Use of varied match types (Exact, Phrase, Broad).
  • Exclusion of unprofitable keywords.
  • Regular adjustments based on performance.

Combining Paid & Organic Data for Maximum Impact

Implementation of a cross-strategy between advertising performance and organic data to refine the global approach:

  • In-depth analysis of Seller Central and Amazon Ads campaigns to identify growth levers.
  • Weekly monitoring of best sellers to track market trends and adjust product priorities.
  • Regular tracking of the most searched queries, both on Amazon and search engines, to adapt positioning and enrich ad targeting.

Developing an Effective Keyword Strategy

Less is more

Rather than multiplying keywords, the focus was placed on a restricted, but highly strategic selection. By concentrating efforts on the most relevant and profitable terms, it becomes simpler to analyze results and adjust campaigns effectively. This also prevents budget dilution on low-performing keywords.

Smart Bidding

Bids were adapted based on observed performance: progressive increases on high-potential keywords (high conversion, controlled ACoS) and decreases on less profitable ones. The goal is to maximize return on investment while controlling costs. The use of match types (Exact, Phrase, Broad) was also calibrated to refine delivery.

Excluding Irrelevant Keywords

Regular monitoring allowed us to identify search terms generating clicks without conversions. These keywords were added as negative keywords to avoid unnecessary spend. This step, often neglected, is nevertheless essential to keep campaigns effective and profitable over time.

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