When Can An Ads Campaign Move to Automated Bidding?
We often start new Search and Display (Demand Gen) campaigns with manual bidding before moving to an automated bidding strategy. This gives us greater control during the campaign’s earliest stages while we evaluate targeting, placements, traffic quality, costs, and initial performance data.
Once the campaign begins generating meaningful data, we can determine whether it makes sense to introduce automated bidding.
Why Establish a Baseline First?
A new ad campaign can change considerably during its first few weeks. We may discover search terms, audiences, or placements that perform better than others, identify traffic that should be excluded, adjust targeting, or find that the campaign needs more or less budget.
Starting with manual bidding gives us a useful baseline while those early patterns develop. It also provides a comparison point when automated bidding is introduced later.
Importantly, we don’t wait simply because a certain number of days must pass. Automated bidding can use numerous auction-time signals from the beginning. What we’re looking for is enough useful campaign activity to understand whether the campaign is behaving as intended and whether the conversion data being fed back to Google is reliable.
Conversion Data Matters More Than Traffic Alone
A campaign can generate thousands of impressions and a substantial number of clicks without necessarily providing much useful conversion feedback. That’s an important distinction when considering a conversion-focused automated bidding strategy.
We’re interested not only in how much traffic the campaign has generated, but also in what’s happening after those visitors reached the website. Are qualified leads or sales beginning to occur? Are some types of traffic converting while others aren’t? Are the conversion values meaningful enough for Google to distinguish more valuable auctions from less valuable ones?
The amount of data needed will vary considerably from one advertiser to another. A high-volume eCommerce campaign may develop useful conversion patterns quickly, while a specialized B2B campaign with a long sales cycle may take considerably longer.
Accurate Conversion Tracking Is Critical
Before relying heavily on automated bidding, we also want confidence in the data we’re asking the automated bidding to optimize with.
If purchases aren’t being recorded, sales values are incorrect, duplicate conversions are being counted, or low-value actions are mistakenly treated as primary conversions, the bidding system can receive a distorted picture of campaign performance.
Automation can only optimize toward the signals it receives. Giving it more data isn’t necessarily helpful if that data doesn’t accurately represent the business result we’re trying to generate.
How Long Does That Usually Take?
For many Search and Display/Demand Gen campaigns, we may consider transitioning to automated bidding within roughly 2 to 6 weeks after launch. But that’s an observational range, not a rule. PMax is a different story – we cover pmax optimization elsewhere.
A higher-volume campaign can accumulate useful evidence much faster than a smaller campaign with limited traffic or conversions. Budget, conversion volume, audience size, targeting, and the competitiveness of the market can all affect how quickly we learn.
The important question isn’t, “How many weeks has the campaign been running?” It’s “Do we have enough useful evidence to make the next bidding decision?”
We cover this issue in more depth in our blog post, New Google Ads Campaign? Don’t Judge Performance Too Quickly, including the statistical, automated-bidding, and market-exposure factors that affect how quickly a new campaign can be evaluated.
When Is the Campaign Ready?
Before changing the bidding strategy, we want to know that the campaign is generating the intended traffic, the landing page and offer are performing reasonably, conversion tracking is accurate, and there is enough meaningful activity to evaluate what is happening.
We also look for obvious problems that should be corrected before handing more control to automation. These might include irrelevant search terms, poor placements, overly broad targeting, budget limitations, or conversion actions that don’t accurately represent meaningful business results.
Automated Bidding Still Needs Time After the Switch
Moving to automated bidding doesn’t mean the evaluation period is over. Changing the bidding strategy introduces another variable into the campaign, and performance may fluctuate while the system adapts to the new strategy.
That means we don’t want to switch to automated bidding and then reverse the decision after only a few days because the initial results are uneven. Unless there’s an obvious problem requiring intervention, we want enough post-change data to make a meaningful comparison with the baseline established beforehand.
The goal isn’t to switch to automated bidding as quickly as possible. It’s to make the change when the campaign has developed enough useful evidence to provide a sound foundation—and then determine whether automated bidding actually improves performance.
