Target ads to users based on specific geographic locations like cities, countries, or even a radius around a particular address.
Reaching specific audiences based on interests, demographics, or behaviors, such as remarketing or in-market audiences.
Showing ads to users who have previously interacted with your website or app, helping to re-engage them and drive conversions.
Running two or more variations of ads to see which performs better in terms of clicks, conversions, or engagement.
Setting the times and days when your ads are shown, ensuring they appear when your target audience is most likely to engage.
Automated bidding strategies that use machine learning to optimize for goals such as conversions, clicks, or target CPA.
Adjusting bids to target users based on their device (e.g., desktop, mobile, tablet).
Targeting users based on their recent search activity and specific intent, such as looking for a particular product or service.
The method of rotating multiple ad variations to determine which performs best, allowing for optimization over time.