How Many Clicks for Learning Phase Google Ads?

digitalengage blog June 20, 2025 0 Comments

So, you’ve just launched a new Google Ads campaign—or maybe you made some big changes to an existing one—and now you’re seeing that mysterious little message: “Learning.” What does that even mean? Don’t worry, your campaign isn’t lost in thought. It’s just going through what Google calls the learning phase—a kind of warm-up period where the algorithm starts gathering data, testing what works, and figuring out how to get you the best bang for your ad spend. Let’s see what a learning phase is, how it works, and how many clicks are needed to exit this period. Keep reading!

Understanding the Learning Phase

When you launch a new Google Ads campaign or make significant changes to an existing one, your campaign enters what’s known as the “learning phase.” During this period, Google’s algorithm gathers data to optimize your ad delivery based on your selected bid strategy and targeting settings. This phase is crucial for automated bidding strategies, such as Maximize Conversions or Target CPA, as it allows the system to adjust bids to achieve your desired outcomes.

How Many Clicks or Conversions Are Needed?

While there’s no official number of clicks required to exit the Google ads learning phase, Google recommends aiming for around 50 conversions per campaign. This benchmark helps the algorithm gather sufficient data to make informed bidding decisions. However, the actual number can vary based on factors like your industry, campaign settings, and conversion tracking setup.

Factors Influencing the Learning Phase

So what factors can impact the learning phase? Here are some of the main factors that influence the Google ads learning phase

Conversion Volume: More Conversions Mean Faster Learning

When you’re running Google Ads, one of the biggest influences on how long your campaign stays in the learning phase is conversion volume. Basically, the more conversions you rack up, the quicker Google’s algorithm can do its thing.

Think of it like this: Google’s system is kind of like a new employee learning a job. The more examples they have (in this case, conversions), the faster they understand what “success” looks like and how to repeat it. If your campaign is generating just a handful of conversions a week, the system has to move slowly and cautiously. But if you’re pulling in a steady flow of conversions daily, that gives the algorithm plenty of data to learn from—fast.

Now, this doesn’t mean you need to go overboard with ad spend to get results. But it does mean that dialing in your targeting settings, ad copy, and landing pages to encourage more conversions can significantly shorten the initial learning period. If your conversion volume is low, you might want to look into your daily target budget, audience targeting, or even the offer you’re promoting.

Also, keep in mind that different conversion actions might be more or less helpful for learning. A micro-conversion like a page view won’t help the algorithm as much as a completed sale or lead form submission. So make sure you’re optimizing for meaningful conversion actions.

At the end of the day, more conversions equals more data which means faster optimization. It’s that simple.

Conversion Lag: The Hidden Delay Slowing Your Learning Phase

Conversion lag is one of those sneaky factors that can really drag out the learning phase—especially if you’re not aware of it. So, what is it exactly? In plain English, conversion lag is the time it takes from when someone clicks on your ad to when they actually convert.

Let’s say you’re advertising a $500 product. Most people from your target audience don’t just click and buy immediately, right? They might think about it for a day or two, read some reviews, maybe even shop around. That delay between the click and the purchase is your conversion lag.

And here’s where it impacts your learning phase: Google’s algorithm is trying to gather performance data, like how many clicks turn into conversions. But if there’s a delay, it might take several days to get accurate data. That slows down how quickly the system can evaluate what’s working.

What’s more, if you make campaign changes while conversions from earlier clicks are still rolling in, you might confuse the system. The learning process resets with significant changes, which compounds the delay even further.

So what can you do? Start by reviewing your Google Ads conversion tracking setup and check your conversion lag time in the data. You’ll find this under “Time Lag” reports in Google Ads. Understanding this will help you better plan your campaign expectations.

To better understand lead quality and intent, read our ultimate guide on pay-per-call advertising.

Bid Strategy: Automated vs. Manual and Its Role in Learning

Not all bid strategies are created equal—especially when it comes to the Google ads learning period. Whether you’re using automated bidding or manual bidding can significantly influence how long it takes for your campaign to start performing consistently.

Automated strategies like Maximize Conversions, Target CPA, or Target ROAS rely on Google’s machine learning to do the heavy lifting. These strategies need conversion data to make smart decisions. So, when you start a new strategy or launch a new ads campaign, the system enters the learning mode, trying to understand the relationship between your bids, your target audience, and your conversion goals.

If you’re using automated bidding, expect a longer bid strategy learning period—especially during the initial learning phase. The system usually requires around 50 conversions per campaign (or per ad group, in some cases) within a 7-day period to exit the learning phase. Until then, your campaign might seem unstable or underperforming, but it’s just part of the process.

On the flip side, manual bidding gives you more control and doesn’t enter a learning phase in the same way. However, that also means you’re responsible for optimizing bids yourself based on performance data. For seasoned digital marketers with plenty of historical data and niche targeting, this might work. But for most businesses, automated bid strategies are more scalable and effective—once the learning phase is complete.

If you’re experimenting with a new strategy or switching from manual to smart bidding, be prepared for a learning period. Let the system gather data, resist the urge to make frequent changes, and monitor your bid strategy report for insights.

Need help to create a successful PPC advertising campaign? Give us a call now!

Campaign Changes: How Tweaks Can Restart the Learning Clock

This one’s a biggie—and something a lot of advertisers accidentally stumble into: Frequent or major changes to your campaign can reset the learning phase. Yep, even if you’re halfway through the learning period, making significant adjustments can send your campaign right back to square one.

But what exactly counts as a “significant change”? Google defines these as things like:

Switching bid strategies (say, from Manual CPC to Target CPA)
Big adjustments to your daily budget or target CPA
Overhauling your ad copy or ad creatives
Adding or removing multiple ad groups
Changing targeting settings, like geo-targeting or audience segments
Tweaking conversion actions or attribution models

Each of these can trigger a composition change, which signals to Google’s system that your campaign is now “different” enough to warrant a fresh round of data gathering. It makes sense—if you’ve altered your targeting or budget in a big way, the algorithm needs to re-learn how to optimize based on the new info.

So, what’s the takeaway? Try to bundle your changes strategically. Instead of making one tweak every day, gather a list of edits and implement them all at once. Then give the campaign time—usually around 7 days—to recalibrate.

If you find yourself constantly tweaking your settings or ad creatives during the learning period, you might actually be doing more harm than good. Let the system work through its learning process uninterrupted, then make informed decisions using actual performance data.

Patience during this phase really does pay off in long-term performance.

Conclusion

The learning phase is a vital part of running successful Google Ads campaigns. While the number of clicks or conversions needed can vary, focusing on providing the algorithm with quality data and minimizing disruptions can help your campaign transition out of the learning phase more efficiently.

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