How many conversions are needed before testing automated bidding?

While modern algorithms can function with less data, having at least fifteen to thirty conversions per month is recommended for automated bidding. This historical volume provides the machine learning system with enough patterns to identify high-converting user behaviors. If your campaign has very few conversions, the algorithm may struggle to optimize effectively, leading to longer learning phases and higher costs. For businesses with extremely low conversion volumes, optimizing for micro-conversions like add-to-carts or form views can bridge the gap. This approach provides the system with more data points to analyze while you build up to macro-conversions. It is important to ensure that your conversion tracking is fully accurate before starting any automated test. Clean tracking data prevents the algorithm from optimizing for low-value actions or incorrect signals. Ultimately, waiting until you have a stable baseline of conversion data ensures a much more successful and predictable testing outcome.