- Allows advertisers to set bids for each individual keyword. - Gives complete control over the maximum amount they're willing to pay for each click. - Recommended for advertisers who want full control over their bids and want to optimize based on their own data.
- Designed to help advertisers achieve a specific cost per conversion. - The advertiser sets a target cost per acquisition, and Google's algorithms adjust bids in real-time to deliver conversions at that target cost. - Uses historical data and machine learning to optimize bids based on the likelihood of a conversion. - Recommended for advertisers who want to optimize for specific conversion goals.
- Designed to help advertisers achieve a specific cost per conversion. - The advertiser sets a target cost per acquisition, and Google's algorithms adjust bids in real-time to deliver conversions at that target cost. - Uses historical data and machine learning to optimize bids based on the likelihood of a conversion. - Recommended for advertisers who want to optimize for specific conversion goals.
- Allows advertisers to bid for every 1,000 ad impressions served. - This bidding strategy is ideal for advertisers who want to increase their brand's visibility by focusing on the number of ad impressions their ad receives.
- Designed to help advertisers achieve a specific cost per 1,000 impressions. - Advertisers set a target cost per 1,000 impressions, and Google's algorithms adjust bids to deliver impressions at that target cost. - This bidding strategy is ideal for advertisers who want to control their impression costs and ensure that they are getting maximum reach within their budget.
- Allows advertisers to bid for every 1,000 viewable ad impressions served. - Viewable impressions refer to impressions where at least 50% of the ad's pixels are in view for at least one second. - This bidding strategy is ideal for advertisers who want to ensure that their ad is actually viewed by the audience.
-Designed to help advertisers get as many clicks as possible within their budget. - Google's algorithms automatically adjust bids to maximize the number of clicks while staying within the budget. - Can be useful for advertisers who are primarily focused on driving website traffic.
-Designed to help advertisers get more conversions while maintaining or reducing the cost per click. - Uses machine learning to adjust bids for clicks that are more likely to result in conversions. - Can be useful for advertisers who want to optimize for both clicks and conversions.
-Designed to help advertisers achieve a specific share of ad impressions in a particular market. - The advertiser sets a target impression share (such as 50%) and Google's algorithms adjust bids to achieve that target impression share. - Can be useful for advertisers who want to increase their brand visibility and reach.
- Designed to help advertisers get the maximum number of conversions within their budget. - Google's algorithms automatically adjust bids to maximize the number of conversions while staying within the budget. - This bidding strategy is ideal for advertisers who want to optimize for conversions but do not have a specific target CPA or ROAS in mind.
-Designed to help advertisers get the maximum conversion value within their budget. - Google's algorithms automatically adjust bids to maximize the conversion value while staying within the budget. - This bidding strategy is ideal for advertisers who want to optimize for conversion value and have a specific target ROAS in mind.
-Designed for video ads on YouTube and the Google Display Network. - Advertisers pay for each view of their video ad. - Views are counted after a user watches 30 seconds of the ad, or the entire ad if it's shorter than 30 seconds. - This bidding strategy is ideal for advertisers who want to optimize for video views.