on user intent. There are a variety of automation types such as Max Conversions, Target Impression Share, Target ROAS, and more, all created to help you achieve your desired result. Smart bidding strategies use machine learning to optimize conversions or conversion value in each ad auction based on signals. The most common signals taken into account by Google are:Demography Device Geographical position Navigation history Account performance Public Membership User/site history Google will then evaluate some or all of these signals to determine if this ad auction could be considered useful to your business. If so, it will customize a bid based
on the bid strategy you selected. Learn more about setting up smart bidding strategies and our tips and tricks for success here . Even more time? Take a look at your audience We all think we know "who" our client is, we've all seen profiles and mockups employee email list of Sally the busy mum, or Steve the businessman, (BORING!), but did you know he is there real information about your real audience in your Google Ads campaigns? If you're not already running a remarketing or RLSA campaign, audience insights would be ideal to leverage here. If you're not running
a remarketing campaign, this is another great way to increase conversions by targeting people who have already shown interest by clicking on your ads and visiting your site. You can also layer audiences to further optimize bids. In-market audiences include users based on what they are actively searching for or planning, and affinity audiences include users based on their web interests and habits. You can target through different funnel points (did they reach the checkout page, did they start creating an account, etc.) and use specially tailored ads (the IF function