How to Use the Shopping Ad CTR & ROAS Predictor
Before launching a new shopping ad, checking category-average CTR and ROAS lets you plan your budget with more confidence. This calculator combines average CTR and conversion rate by category with your daily impressions, CPC bid, and sale price to estimate clicks, ad spend, and ROAS.
Categories are split into fashion & apparel, beauty, electronics, food & grocery, and home goods, each with different CTR and conversion rate baselines. For example, beauty uses a 1.5% CTR and 3.0% conversion rate by default, and both clicks and spend scale up as impressions increase.
An ROAS under 100% means spend exceeds revenue, so you'd want to lower your bid or improve your product page to raise conversions. As real campaign data comes in, replace the category defaults with your own measured CTR and conversion rate for a more accurate forecast.
Frequently Asked Questions
They reflect general performance patterns by category on shopping ad platforms. If you have your own recent account data, plug in your actual average CTR and conversion rate instead of the category defaults for a more accurate result.
Lower your CPC bid to reduce cost per click, or improve your product page and reviews to raise the conversion rate. Adjusting the sale price itself can also help balance conversion rate against margin.