Have you ever had this feeling? Google ads knows where your precise customers are, but when you increase the return rate to a certain level, or when the budget is compressed excessively, it will not allocate those precise traffic.
I will not judge whether this feeling is true here, but there are many reasons behind the phenomenon that the ads that were originally running well have become less effective after adjustment. In this article, we will analyze them in detail.
Google Ads’ “Intelligence” and Misconceptions
As a powerful digital advertising platform, Google Ads’ core advantage lies in its advanced algorithm mechanism and precise targeting capabilities. This system uses complex algorithms to comprehensively consider multiple factors to ensure that advertisers can display ads to the most relevant target audience. Specifically, the algorithm mechanism of Google Ads is mainly based on the following dimensions: ad quality score, target audience positioning, ad format and extension.
The Google Ads algorithm will not reduce accurate traffic due to advertiser budget compression or pursuit of high return rate.
The algorithm aims to provide the most relevant and valuable advertising experience, and determines the display and ranking based on ad quality, relevance and target audience matching, rather than just considering budget or return rate. Although budget and bid affect ad display frequency and ranking, ads with high quality scores and high matching can still perform well.
Google Ads also provides data and tools to help advertisers optimize results, so advertisers should focus on improving ad quality, relevance and audience targeting to achieve better advertising results.
Why do I always like to adjust Google Ads settings?
Frequently adjusting ad settings is a common phenomenon, mainly due to the following reasons:
1.Uncertainty for new entrants
Newly joined ad optimizers may not fully understand the complexity of the system, leading to over-adjustments.
2.ROI pressure
When the return on advertising is poor, advertisers may frequently adjust settings to try to improve results.
3.The need for instant feedback
Due to the rapid changes in market dynamics and the pursuit of instant feedback, advertisers may constantly adjust to find the best strategy.
4.Advice from Google Account Managers
Based on their expertise, Google Account Managers sometimes recommend adjustments to advertisers.
5.Budget and bid adjustments
In order to control costs or adapt to market competition, advertisers may need to adjust their budget and bidding strategies from time to time.
6.Testing New Strategies
After learning a new advertising skill or strategy, advertisers may be eager to apply it to existing campaigns.
Misunderstandings and Impacts of Adjusting Google Ads
Over-optimization, budget adjustments, keyword selection, and bidding strategy changes are common mistakes in advertising optimization that can seriously affect advertising performance and cost-effectiveness.
· Over-optimization will cause the algorithm to relearn frequently, undermining the stability of advertising;
· Unreasonable budget adjustments will reduce the frequency and position of advertising display;
· Wrong keyword selection will attract irrelevant or low-quality traffic;
· Improper bidding strategy adjustments may increase costs or reduce exposure.
To avoid these problems, it is recommended to perform regular but not too frequent optimization, reasonably adjust the budget based on data analysis, accurately select keywords that match the target market, and adopt data-driven bidding strategies to achieve the maximum benefits of advertising campaigns.
When can I adjust my Google ads?
To avoid adverse effects from frequent adjustments, here are some suggestions:
Ensure sufficient data collection period: Before making any adjustments, make sure there is enough data to judge the performance of the ad.
Set clear goals and budgets: Determine clear goals and acceptable budget ranges before starting to reduce unnecessary adjustments.
Use A/B testing: When you want to try new strategies, using A/B testing can more scientifically evaluate the effects of the changes.