{"id":34028,"date":"2025-01-27T12:02:57","date_gmt":"2025-01-27T12:02:57","guid":{"rendered":"https:\/\/www.digife.it\/?p=34028"},"modified":"2025-01-27T12:02:57","modified_gmt":"2025-01-27T12:02:57","slug":"meta-ads-the-learning-phase-becomes-faster-and-shorter","status":"publish","type":"post","link":"https:\/\/www.digife.it\/en\/meta-ads-the-learning-phase-becomes-faster-and-shorter\/","title":{"rendered":"Meta Ads: The Learning Phase Becomes Faster and Shorter"},"content":{"rendered":"

In recent times, Meta Ads has introduced a significant change in the learning phase of advertising campaigns, drastically reducing the time and number of events required to reach full optimization. This article explores how this change affects advertisers and how it can improve campaign efficiency.
\nWhat is the Learning Phase?<\/strong>
\nThe learning phase is the period in which the Meta Ads delivery system collects data to understand how to best optimize your ads. During this period, the system learns to show your ads to the right audience and in the right places to achieve the desired results26.
\nThe Change: Less Events and Less Time<\/strong>
\nPreviously, the learning phase required about 50 events in 7 days to complete and allow the algorithm to stabilize. However, with the recent update, you can exit the learning phase with only 10 events in 3 days124. This significantly reduces the time it takes to reach full campaign optimization.
\nBenefits for Advertisers<\/strong>
\nThis change offers several benefits to advertisers:
\nGreater Efficiency: Campaigns reach full optimization faster, reducing \u201cwaiting\u201d periods during which the campaign is not yet at its full potential1.
\nMore Accessible Budget: Even campaigns with small budgets can reach the full optimization stage more quickly, making Meta Ads more accessible for small and medium-sized businesses12.
\nGreater Stability: With a lower event threshold and shorter period, the likelihood of a campaign getting stuck in the learning phase for too long is reduced, allowing advertisers to make more informed decisions in less time1.
\nLearning Phase Management
\nDespite the reduction in the number of events and days required, the fundamental principles of learning phase management remain the same:
\nAvoid Significant Changes: It is important to avoid making significant changes during the learning phase so as not to prolong it1.
\nMaintain a Proportionate Budget: It is essential to maintain a budget that is proportionate to the objectives to ensure that necessary events are achieved quickly1.
\nDon't Over-Split the Audience: Avoid over-splitting the audience so as not to limit the number of events and slow down the exit from the learning phase1.
\nLong Term Impacts
\nThis update represents a step forward for Meta Ads, promoting greater flexibility and accessibility for all advertisers. The ability to optimize campaigns in shorter times and with fewer events facilitates more dynamic management and allows for effective results even with smaller budgets and strategies12.
\nIn conclusion, the new learning phase of Meta Ads not only reduces times, but also makes campaign management more agile and competitive, offering immediate advantages to advertisers in every sector.<\/p>\n

How can I optimize Meta Ads campaigns with the new learning system<\/strong><\/p>\n

Optimize Meta Ads Campaigns with the New Learning System
\nWith the new Meta Ads learning system, which requires only 10 events in 3 days to exit the learning phase, optimizing your campaigns has become faster and more accessible. Here are some tips to make the most of this change:
\n1. Maintain an Adequate Budget<\/strong>
\nSet a Realistic Budget: Make sure your budget is enough to reach the 10 events needed within 3 days. A budget that is too low could slow down your learning process7.
\nAvoid Frequent Changes: Changing your budget frequently can restart the learning phase, so it is better to keep a stable budget78.
\n2. Simplify Campaign Structure<\/strong>
\nReduce the Number of Ad Sets: Use fewer, larger, more detailed ad sets. This helps reduce rework and get you out of the learning curve more quickly.6
\nMinimize Changes: Avoid making too many changes to your ad sets or the ads themselves, as this can restart the learning phase68.
\n3. Make the Most of Machine Learning<\/strong>
\nProvide Consistent Data: Make sure the system receives consistent and sufficient data to optimize campaigns. Use a mix of targeting and provide different creative options3.
\nDon't Keep Changing: Once you've set up a campaign, let the system optimize itself without making too many changes23.
\n4. Leverage AI to Improve Campaigns<\/strong>
\nUse ChatGPT for Creative Ideas: Generate titles and alt texts for your ads and test them to find the winning combination4.
\nRefresh Underperforming Ads: Ask ChatGPT to reword ads that aren't performing well4.
\n5. Monitor and Adapt<\/strong>
\nMonitor Your Data: Constantly monitor your campaign data to understand what is working and what is not.4.
\nAdjust Strategies: Adjust your strategies based on your results, but avoid making too many changes at once6.
\nBy following these tips, you can make the most of the new Meta Ads learning system and get faster and more effective results in your advertising campaigns.<\/p>","protected":false},"excerpt":{"rendered":"

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