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Bidding may limit your impressions too much. Advertisers who generate leads are usually best off using cost-per-acquisition bidding, in which case you can specify a target cost per conversion for . Represents cost per acquisition. If search volume is low try again to maximize conversions. With enough data points Google is pretty good at reaching or targeting. Be aware that setting your goals too aggressively can limit conversions and reduce overall profits. You should aim for profit maximization not maximization or minimization. For branding campaigns you may want to use Target Impression Share to maximize your exposure in the top positions.
This is actually a brand defense tactic to prevent competitors from stealing your stream quantity. challenge. For automated bidding to work, each campaign typically needs its own daily budget. You can apply shared budgets but if you assign shared budgets to campaigns you may find that some campaigns photo retouching don't get enough spend for the algorithm to optimize. You need to consolidate your campaign structure first so your data accumulates in fewer ad groups. The push towards automated bidding has changed the way we plan and structure campaigns. It no longer makes sense to build granular campaign structures based on individual keyword ad groups due to the large number of conversions required to optimize bids.

You'll often see better results from simpler campaign structures where data is consolidated across fewer campaigns and ad groups to your agency's effect. Let's say you work with an agency to manage your ads. Now that your agency isn't micromanaging keyword bids all day long, what should they do now? We believe your agency's role should be strategic. Good at bid management but they have no intention of trying to understand your business or your business goals. A good agency should understand what you are trying to do and configure your account in the most appropriate way. Google is good at any computing but not any language. They have tried to automate ad creation but have mostly failed so far.
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