Recommended budget

Topic summary

A user asks about recommended monthly Google Ads budgets for a seasonal spring product using keyword and geo-targeting.

Budget Recommendation:

  • Start with at least $50 daily budget to gain meaningful traction
  • No absolute minimum exists, but lower budgets won’t generate sufficient data

Optimization Strategy:

  • Collect 3 weeks of performance data before making adjustments
  • If performance is strong, consider increasing budget
  • If performance is weak, focus on campaign and data feed improvements first
  • Exclude underperforming geo-locations to concentrate budget on high-converting areas

Important Clarification:
Shopping ads don’t use traditional keywords—product information is extracted directly from the data feed. High-quality feed setup following Google’s requirements and recommendations is critical for success.

Summarized with AI on October 30. AI used: claude-sonnet-4-5-20250929.

What is your recommendation for a monthly budget on Google ads? What is the minimum needed to make any impact, especially with keyword & geo targeting combined with a seasonal product (spring)

Hello Gourmet, great question and a difficult one to answer, there is no minimum, but from experience you should at least start with a $50 daily budget. Otherwise you will not get any traction.

Then adjust as you see performance, so lets say you have 3 weeks of data, then analyze the data, make improvements, if the changes are big, keep the budget, if the performance is great, increase the budget if needed, if the performance is bad, first improve the campaigns. But also more importantly the data feed quality. So make sure to follow the requirements and recommendations here: https://support.google.com/merchants/answer/7052112

If you find that specific geo locations have more sales, then exclude other targeting, so that you can use your budget more effectively.

As to keywords, shopping ads doesn’t use keywords, they are extracted from your data feed, hence why it is so important to setup a high quality data feed using the requirements and recommendations.