Divide products into multiple Smart Shopping campaigns.

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The defined new customer value is then included and the overall conversion value is maximized. The default value provided here refers to the average order value for shopping campaigns from previous customers. Smart shopping Can Smart Shopping campaigns be optimized manually? The answer is no. Google wants to make it as easy as possible for the average user to create and optimize a Smart Shopping campaign without in-depth prior knowledge.


Therefore, only a few things can be adjusted manually. Target ROAS : You should give the system at least two weeks to learn before adjusting it. It should not be set too high to avoid traffic drops. Increase budget : If you are satisfied with the response of the campaign, you can increase the budget for it to achieve maximum results.Products that are not performing or are too different Phone Number should be divided into different groups or campaigns. The same applies to products that perform very well. In the advanced shopping settings of the Smart Shopping campaign, different priorities can also be set. Simplify the customer journey : This point has nothing to do with improving the product feed, but is essential for it. Most customers don't have the patience to wade through confusing purchasing processes. Therefore, they should be kept as simple as possible and lead the customer to a successful conclusion as quickly as possible. Product Feed Improvement : Optimizing titles can do wonders.





One possibility would be to always put relevant keywords at the beginning of the title. New call to action Conclusion Should you rely on Smart Shopping campaigns? Opinions differ when it comes to answering the question. Google is trying to automate more and more processes and make it easier for the average user to create and optimize campaigns. However, more and more points for manual optimization are being eliminated. If you've never tested a Smart Shopping campaign before, you should definitely do so. Be sure to allow enough time for the Google algorithm to learn.