PMGS focused on building a Google Ads structure around purchase intent, product demand, and return on ad spend rather than chasing clicks alone. The campaign snapshot shows a dedicated Performance Max campaign for best-selling products and an additional shopping-led campaign — supporting a strategy built around segmentation, feed-led visibility, and conversion-focused bidding.
A key part of the approach was aligning campaign strategy with automated bidding models visible in the account, including maximising conversion value with target ROAS and maximising conversions with target CPA. That allowed the account to lean into Google’s machine learning while keeping performance anchored to commercial outcomes.
PMGS also used performance signals to concentrate spending on the product groups and audiences most likely to convert. For an ecommerce store like RV Essentials, this approach is especially effective because product-led campaigns can scale efficiently when search demand, merchant feed quality, and conversion tracking work together.
1. Best-seller campaign prioritisation
A dedicated campaign was structured around best-selling products so the strongest commercial inventory could attract the largest share of qualified demand.
2. Performance Max optimisation
PMGS leaned on Performance Max to expand reach across Google inventory while using conversion-value signals to keep the system focused on revenue quality.
3. ROAS-led bidding
Target ROAS bidding was used where revenue value mattered most, helping the account optimise toward return instead of traffic volume alone.
4. Shopping intent alignment
Shopping-led activity stayed focused on product-level searches, where users were already close to purchase and conversion rates were materially stronger.
5. Data sanitisation for publication
Public-facing figures were rounded and slightly reduced so the case study could show commercial impact without exposing exact spend or revenue.