How User Behavior in a Google Ads Account Affects Its Trust, and How to Increase It

Affiliate marketers often go the extra mile to squeeze value out of their Google Ads campaigns. They try to perfect their ad creatives, use cloaking tools, and carefully follow the rules of the advertising platforms. However, some of the actions they take within their Google Ads account can unintentionally lower the account’s trust level. Google’s algorithms closely monitor account behavior and flag chaotic changes to campaign settings, frequent edits to ad creatives, and random pausing or stopping of campaigns as unpredictable activity. This unpredictable behavior reduces trust, leading to higher traffic costs and lower ROIs.



In this article, the YeezyPay team, a service that provides access to trusted Google Ads agency accounts, will explain in clear, detailed terms how Google tracks account behavior, which specific actions trigger the algorithm, and what to do to ensure that trust grows steadily.

How Google Records Behavior in an Account​

Google Ads maintains a detailed record of all changes made to an account over the past two years in the Change History feature. This log tracks actions such as turning campaigns on or off, adjusting bids, adding or removing keywords, editing ad creatives, and modifying budgets. The Change History allows affiliates to review past actions and, if needed, revert changes to restore campaign performance.



How to Access Change History:
To view information about changes, follow the steps below.

• Log in to your Google Ads account.
• In the left-hand menu, select Campaigns, then click Change History.

• Use filters to view changes across the entire account or for specific campaigns. You can sort by:
  • User: Track actions made by a specific account user (useful for accounts managed by multiple people).
  • Date Range: Review changes within a chosen timeframe (e.g., the past week or month).
  • Edit Categories: Filter by specific actions, such as budget adjustments, access changes, bid modifications, or conversion settings.

To find a specific action (e.g., a change to targeting settings):

• Select a category, such as “Targeting.”
• Apply filters for the relevant date range and user.
• Review the list to identify the change that may have impacted campaign performance.

Google records every adjustment, including:

• Budget edits.
• Bid strategy changes.
• New targeting settings.
• Adding or deleting keywords.
• Creative modifications.

Each major change is treated by Google’s system as the equivalent of launching a new campaign, triggering a learning period of 7–14 days. During this period, the algorithm collects data to optimize ad delivery, such as determining the best audience and bid amounts. Frequent changes keep the campaign stuck in this learning mode, preventing it from reaching peak efficiency. As a result, the budget is spent on testing rather than delivering optimized ads, wasting resources and reducing ROI.

What Google Records and How It Affects Trust​

Below, we’ll provide a detailed description of the specific changes Google Ads records and how they impact account trust, based on affiliate experiences and Google’s documentation. Affiliates note that making changes more than 1–2 times per week is considered excessive, as the algorithm’s learning cycle typically lasts 7–14 days.

• Enabling and disabling campaigns: Recorded under “Change campaign status” in the Change History. Each time a campaign is paused and restarted, the algorithm resets its data collection process, temporarily reducing efficiency and trust. This is often referred to as a “loss of trust,” as the system must relearn user behavior and campaign performance.
• Frequent edits to ad creatives: Tracked in the “Change Ad Text” section. Rapid changes to ad copy, images, or other creative elements prevent the algorithm from gathering enough data to optimize performance. This leads to a drop in Click-Through Rate (CTR), as the system re-tests the audience with each edit, and an increase in CPC due to reduced efficiency.
  
• Budget adjustments: Visible in the “Budget changes” section. Each budget change initiates a new learning period, and this increases CPC as the algorithm recalibrates to the new budget constraints.

• Bid strategy changes: Recorded under “Changing rates and bidding strategy.” Modifying bids or switching bidding strategies (e.g., from manual CPC to automated Smart Bidding) forces the algorithm to adapt to new parameters, which can cause sharp spikes in Cost Per Action (CPA) as it adjusts.

• Targeting changes: Tracked in the “Change targeting settings” section. Altering targeting parameters, such as audience demographics, locations, or device types, prompts the algorithm to reconfigure. This diverts part of the budget to testing new audiences, often resulting in impressions being shown to non-target users, which increases the cost per lead.
• Changing conversion definitions: Recorded under “Changing conversion settings.” Frequently switching the definition of a target action (e.g., from form submissions one day to button clicks the next, then to cart additions) confuses the algorithm. This leads to higher CPA, as the system struggles to optimize for inconsistent goals.

• Long account downtime: If an account remains inactive for more than 7–10 days, Google’s system “forgets” the campaign’s data. When the campaign is restarted, the trust level decreases, as the algorithm must begin learning from scratch, treating the campaign as new.

How to behave so that campaign trust grows​

Google’s documentation states that major changes trigger a new learning period, during which the algorithm can become confused, and campaign performance may suffer. Affiliates’ experience shows that it takes 7–14 days for the algorithm to exit this learning phase and accumulate sufficient statistics for optimization. During this time, the account needs to be “warmed up” with consistent activity to build trust. While the algorithm is learning, affiliates may waste time and money on test impressions that don’t convert optimally. Using Google Ads agency accounts from YeezyPay can help you bypass this lengthy warm-up stage, as these accounts start with a high trust level. To ensure account trust grows and campaigns consistently generate profit without losing effectiveness after changes, affiliates should follow these rules:

• Plan your changes: Avoid making adjustments more often than once a week. For example, adjust bids every 7 days and conduct split tests for creatives every two weeks. This allows the algorithm to collect sufficient data without being disrupted by frequent changes, maintaining trust and performance stability.
• Don’t panic: If metrics like CTR begin to decline, resist the urge to make hasty, chaotic changes. Wait 3–7 days for the system to gather enough data to stabilize. Premature edits can interrupt the learning process and worsen performance further.
• Test creatives correctly: Evaluate the effectiveness of creatives over a week, accumulating at least 50 clicks or conversions to objectively assess their performance. This ensures the algorithm has enough data to determine which creatives are most effective, avoiding unnecessary disruptions.
• Monitor the purity of conversions: Remove irrelevant or “junk” events, such as accidental clicks or test form submissions. The algorithm learns from target action signals, and false data can lead to incorrect bid and impression optimization. Ensure only genuine conversions, like purchases or sign-ups, are tracked to maintain accurate learning.

• Synchronize time zones and currencies: Ensure that Google Ads, Google Analytics, and any CRM systems use the same time zone and currency settings. Mismatched settings can cause the algorithm to generate inaccurate reports, leading to false conversion data and misguided optimization efforts.

If a campaign starts performing worse after changes, affiliates can revert to the previous settings: identify the date when problems began, locate the specific change in the Change History, and select “Undo.” This action allows Google Ads to roll back the campaign to its earlier, more effective parameters.

Examples​

In the Google Ads Experts community, members confirm that frequent changes and random campaign pauses confuse the system and reduce effectiveness, as the algorithm must relearn from scratch.



Another user echoed this, noting that excessive changes have an “unhealthy” effect on campaigns.



Google’s support service provides an example of a campaign’s performance declining due to sudden changes in launch parameters. In one case, an advertiser consistently achieved $10 conversions but abruptly reduced the target price per conversion to $2. The system couldn’t adjust quickly, resulting in a sharp drop in impressions and overall campaign performance.

Summary​

Making sudden changes to your Google Ads settings can kill your account’s trust and hurt your ROI. Every time you tweak something, the algorithm has to start learning all over again, and this means burning through your budget on tests.

To stay in the green, make changes carefully and slowly. You can always stick to just 1 or 2 updates a week. In addition, monitor the quality conversions: Only real target actions are important for the algorithm — applications, purchases, calls. Random clicks, test forms, and other "garbage" events should be deleted. If this is not done, the system will be trained on false data, and rates and impressions will be optimized incorrectly.

The most important thing to note is that even if you do everything right, regular ad accounts don’t always get Google’s full trust. But trusted agency accounts, like those provided by YeezyPay, have a better reputation with Google, making them less affected by these issues and more likely to run a smooth, successful ad campaign.