Description: Google Ads can optimize bids for Target CPA or Target ROAS strategies based on whether someone is on a mobile, desktop, or tablet device.

Example: For a car dealership, bids may be adjusted if a person is searching on a mobile device and therefore more likely to book an appointment at a nearby location.

Description: Google Ads can optimize bids based on the specific location (down to the city) someone is located in, even if the advertiser’s implemented location targeting isn’t as specific. 

Example: For a bank, even if the advertiser’s location targeting is set to New York state, bids may be adjusted if a person searches for “new checking account” from a city with higher branch penetration where they’re more likely to apply for an account.

Description: Google Ads can optimize bids based on someone’s location intent in addition to their physical location.

Example: For a travel provider, bids may be adjusted if someone is actively researching a vacation destination you offer (e.g. “paris vacations august”), even if they’re not physically located near there.

Description: Google Ads can optimize bids based on someone’s local time of day and day of week in their time zone.

Example: For a restaurant, bids may be adjusted if someone searches at 8 PM on a Thursday when people are more likely to make a reservation for the weekend, compared to 8 AM on a Monday.

Description: Google Ads can optimize Search and Display bids based on which remarketing list someone belongs to, and can also account for how recently a user was added to that list. Search also takes into account each list a user is on, for a given campaign or ad group.

Example: For an online clothing retailer, bids may be adjusted if a person has already browsed a product during a previous site visit, and whether they added it to a shopping cart last week, when they’re more likely to want to buy it soon, versus last month.

Description: Google Ads can optimize bids based on which version of an ad will be shown, including whether it’s for a mobile app.

Example: For a telecom company, bids may be adjusted if the ad shown is the “Latest Deals” creative or the “Flexible Plans” creative, or if it points to the mobile site or app, based on which variation has a higher likelihood of converting. For Display campaigns, bids take into account which ad sizes and formats are more likely to convert.

Description: Google Ads can optimize bids based on someone’s language preferences.

Example: For a Spanish language learning site, bids may be adjusted for the query, “learn a new language” if a person’s language preference is set to English instead of Spanish, where they’re less likely to purchase a new tutorial.

Description: Google Ads can optimize bids based on the browser someone is using.

Example: For a health foods company, bids may be adjusted if a person searches from Chrome, which has resulted in a higher conversion likelihood for that business in the past, compared to other browsers.

Description: Google Ads can optimize bids based on the operating system someone is using.

Example: For a gaming app developer, bids may be adjusted if a person searches for “puzzle game” on Google Play from an Android device that has been upgraded to the latest OS version, which is more likely to result in an app install, compared to an older OS version.

Description: Google Ads can optimize bids based on age and gender. For Display campaigns, bids can also be optimized for interests.

Example: For a toy retailer, bids may be adjusted if someone has been identified as likely being a parent and is more likely to convert on a Display ad promoting a new line of educational toys.

Description: Google Ads can optimize bids based on the text of the query that triggered the ad, not just the matching keyword.

Example: For a shoe retailer, bids may be adjusted if a person’s search query is “leather boots” and they’re more likely to buy a new pair compared to a search for “boot repairs,” even if both queries broad match to the keyword “boots”.

Description: Google Ads can optimize bids based on which search partner site the ad appears on.

Example: For a consumer packaged goods brand, bids may be adjusted if a query is coming from a more relevant search on an e-commerce site, which has a higher conversion likelihood, compared to a news site.

Description: Google Ads can optimize bids based on which site placement the ad appears on.

Example: For a consumer packaged goods brand, bids may be adjusted if the ad appears on a popular, high-traffic site, which has a higher conversion likelihood.

Description: Google Ads can optimize bids based on someone’s activity on your site, including number of pages viewed, value of products browsed, how far through the conversion process they progressed, and other sites previously visited.

Example: For a furniture brand, bids may be adjusted if a person has browsed several couches priced at a higher value compared to lamps that have a lower price point.

Description: Google Ads can optimize bids based on similar attributes across products such as price, condition, brand, and product category.

Example: For a retailer selling outdoor gear, bids may be adjusted if you add a new tent to your product data that is similar to other tents that have a high conversion likelihood. 

Description: Google Ads can optimize bids based on the strength and quantity of an app’s reviews.

Example: For a fitness brand, bids may be adjusted if an app has many excellent reviews and is more likely to result in an install.

Description: Google Ads can optimize bids based on how your product price compares to other advertisers who are participating in the same auctions that you are.

Example: For a cookware retailer, bids may be adjusted if you’re offering a strong deal on a knife set compared to other advertisers.

Description: Google Ads can optimize bids based on seasonal performance trends during different times of year.

Example: For an electronics retailer, bids may be adjusted if a person is searching for a new television during the holiday season, which typically sees a higher conversion likelihood.