Letting AI set bids can yield much more than manual adjustment, if you know how to configure it. See how it works and when to use each strategy.
Manually defining how much to pay for each click, across thousands of auctions per day, is humanly impossible to do well. That's where Smart Bidding comes in: automated bidding strategies that use AI to adjust each bid in real time. When used well, they outperform manual adjustment. When poorly configured, they spend uncontrollably.
In this guide, you will understand what Smart Bidding is, how it works, what the main strategies are, and how to choose the right one for your objective.
Smart Bidding is a set of automated bidding strategies that use artificial intelligence to optimize toward an objective, such as conversions or return. Instead of you setting a fixed bid value, the platform decides how much to pay in each individual auction, based on the probability of that person converting at that moment. It's data-driven bid automation.
In each auction, AI analyzes a large amount of real-time signals: the device, time of day, location, browsing history, behavior, and many others. Based on these signals, it estimates the conversion probability and adjusts the bid up or down. A user with a high probability of buying may receive a higher bid; one with a low probability, a lower bid or none at all. It's this auction-by-auction evaluation that makes automation so efficient.
The most common strategies serve different objectives:
The choice depends on whether you have a cost, return, or volume goal.
If you have a cost per conversion that you need to respect, Target CPA makes sense. If return is what matters and you have different conversion values (like an e-commerce with products of varying prices), Target ROAS is more suitable. If you are just starting out and don't yet have defined goals, Maximize Conversions helps generate volume and data. As the operation matures, it's common to migrate to Target CPA or Target ROAS strategies.
Bid automation relies on reliable conversion data in sufficient volume. Without correct tracking, AI optimizes for the wrong target. And with very few conversions, it doesn't have data to learn. Therefore, well-configured tracking and a minimum conversion history are prerequisites for Smart Bidding to deliver its potential. Feeding AI with bad data is the fastest way to bad results.
Some precautions make a difference: give the strategy time to learn before judging (abrupt changes restart learning); set realistic targets (a Target CPA that is too low can stifle delivery); monitor results without micromanaging; and ensure that conversion data is accurate. Smart Bidding is powerful, but it's not "set it and forget it": it requires monitoring and good data to perform.
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