In the dynamic world of digital marketing, particularly within Pay-Per-Click (PPC) advertising, marketers frequently encounter a critical phase known as a "learning period." Far from being a passive observation phase for the marketer, this is an intensive algorithmic process where ad platforms actively gather data to optimize campaign performance. Typically spanning from 48 hours to two to four weeks, this period allows the platform to learn how campaigns should behave, primarily based on conversion rates and the auction prices of targeted audiences. Understanding and effectively managing these learning periods is key to achieving stable campaign performance and maximizing ROI.

The impact and management of these learning periods are subjects of ongoing discussion within the industry. This article aims to demystify this crucial concept by:

  • Outlining precisely what factors are encompassed within learning periods.
  • Identifying common triggers that can reset these periods and assessing their significance.
  • Providing actionable strategies for effectively managing learning periods across different stages of an advertising account's lifecycle.

Note: This content, authored by a Microsoft employee, offers a platform-agnostic perspective on learning periods, applicable across various digital advertising platforms.

What Do Learning Periods Encompass?

At their core, learning periods primarily focus on optimizing conversion tracking and bidding strategies. However, the performance of your ad creative can also significantly influence these phases.

During the initial days of a campaign's launch, it's common for the algorithm to either underbid or overbid. This fluctuation occurs as the system actively learns the optimal auction prices (Cost-Per-Click or CPCs, and Cost-Per-Mille or CPMs) required to effectively serve the campaign based on its defined targets. Campaigns within established accounts, or those with substantial historical data (from previous campaigns or accelerated spend to gather data quickly), often navigate and clear these learning periods more rapidly.

For ad creative, learning periods determine which creative variations are served most frequently and how they are paired with other supplied assets. While marketers can "pin" creative elements to force their display in specific placements, this tactic might inadvertently restrict the overall placement opportunities available to the ad.

Triggers for Learning Periods and Their Impact

Numerous actions can initiate a learning period, with the intensity of the phase largely dependent on existing historical data and the nature of the changes implemented.

Common marketer actions that typically trigger a learning period include:

  • Pausing a campaign for more than 72 hours.
  • Adjusting the budget by over 15% within a 7-day timeframe.
  • Pausing a keyword or ad with established conversions to introduce a new one.
  • Making significant changes to Target CPA (TCPA) or Target ROAS (TROAS) goals.
  • Launching an entirely new campaign, which will undergo its own learning phase.

It's important to note that minor adjustments, such as changing creative within an existing ad or brief pauses, are generally insufficient to trigger a full learning period. In these instances, sufficient historical data usually exists to counteract the small interruption.

However, if you're undertaking a wholesale change to all creative assets, these new elements will still require editorial review. For such comprehensive creative overhauls, it might be more effective to create a new ad and set its rotation to run indefinitely, rather than modifying an existing one.

Learning periods often manifest as fluctuations in spend, which could mean a higher cost per click or reduced ad serving frequency. Ideally, critical campaign adjustments should be made well in advance of major events like seasonal shopping spikes. If unavoidable changes coincide with peak periods, marketers should watch for these key indicators, which may necessitate allocating an additional 15-20% "learning period budget" to expedite the optimization process:

  1. Impression Share Lost to Rank Increases by Over 30%: A significant rise in impression share lost due to rank suggests that your bids are insufficient for your targets. This is a common occurrence during learning periods as ad platforms adapt to new conversion data.
  2. Average CPCs Fluctuate by Approximately 50%: Beyond impression share, dramatic shifts in average CPCs are a clear sign of a learning period. While rising CPCs are often frustrating, a substantial drop can be more insidious, indicating that your ads may no longer be serving for previously attainable queries.
  3. Drops in CTR, Followed by Decreased Conversion Rates: Creative learning periods can result in less-than-ideal pairings of headlines, descriptions, image assets, and other ad components. If an ad previously achieved a decent Click-Through Rate (CTR) that subsequently declines, it could signal that the learning phase is causing suboptimal creative combinations. This also serves as an indicator that the new creative being tested might not be performing as expected.

Strategies for Managing Learning Periods Across Account Stages

It's crucial to view learning periods not as obstacles, but as an inherent and necessary component of digital advertising. They are a natural part of the algorithmic optimization process, similar to a system recalibration. Effective account management involves working harmoniously with these periods, rather than allowing them to dictate your overall strategy.

For New Accounts: Embrace Boldness

When launching new accounts, marketers can afford to be more fearless. Given that everything is new, there's an inherent expectation that campaigns will require additional time to ramp up. This initial phase is the opportune moment to implement necessary structural changes and make bold strategic choices. Once the account establishes a consistent rhythm, marked by stable conversion volumes, making significant changes without triggering new learning periods becomes considerably more challenging.

For Accounts with 90+ Days of Data: Leverage History

Accounts that have accumulated at least 90 days of data should actively leverage their historical performance. This wealth of data means new campaigns can ramp up more quickly, and you can confidently lean into conversion-based bidding strategies. However, be mindful that any substantial budget alteration (exceeding 15%) is likely to induce fluctuations. Therefore, a strategy of gradual, week-over-week budget increases is often more effective until the ideal spend level is reached.

For Accounts with Over a Year of Data: Prioritize Stability

With more than a year of data, accounts typically achieve a high degree of stability, allowing for the launch of new entities with minimal disruption. Major changes to existing campaigns that have established conversion histories should only be undertaken when absolutely necessary. Even in such cases, consider utilizing data exclusions to assist the algorithms in recovering and re-optimizing more efficiently.

Ultimately, learning periods are a normal and unavoidable aspect of managing successful digital advertising campaigns. The key to mastering them lies in understanding their triggers and developing proactive strategies to work with, rather than against, the algorithmic optimization process.

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Featured Image: Paulo Bobita/Search Engine Journal