The challenge

The Good Food Network wanted to boost engagement and sales from their Google Shopping campaigns during key seasonal periods — without disrupting their campaign structure or relying on design-heavy resources. The core objective was to improve click-through rates and increase revenue on giftable SKUs through more contextually relevant product imagery.

The Broadplace approach

Test-and-Learn with AI-Powered Creative

We launched a low-effort, high-impact test using Google Merchant Center’s Product Studio to auto-generate Valentine’s Day-themed product images for selected high-margin, giftable products.

Key elements of our approach:

• No changes to campaign structure or product feed required

• A/B testing themed vs standard product images

• Focused on visual uplift without adjusting bids or landing pages

• Used AI to quickly create seasonal relevance at scale, bypassing traditional design bottlenecks

This was a strategic move to determine whether dynamic, seasonally-themed visuals could stand out in the crowded Shopping feed and improve key performance metrics.

The results

🗓️ Test Period: 27th January – 17th February

The Valentine’s Day-themed image test delivered clear and measurable improvements across all key performance indicators. Compared to the same product set using standard imagery:

• 💘 42% decrease in CPA
  The AI-generated visuals helped drive more efficient conversions, reducing the cost per acquisition by nearly half on the themed products.

• 📈 15% increase in CTR
  The visually themed images stood out in busy Shopping feeds, drawing more attention and increasing the click-through rate — a strong signal that creative relevance makes a difference at the point of decision.

• 💷 23% uplift in revenue
  The themed SKUs not only attracted more clicks, but converted better too, resulting in a notable increase in revenue during the test period.

These results validated our hypothesis: timely, visually relevant creatives can significantly enhance performance — without the need for major campaign or feed changes. By leveraging AI, we were able to scale quickly, test effectively, and win the moment during a competitive seasonal window.