Everyone Should Understand AI-Powered Google Advertising
In the field of digital marketing, Google ads has always played a pivotal role. Every day, 15% of searches on Google are new, a figure that has remained constant over the past decade. This means that businesses have countless opportunities to reach potential customers through Google advertisements every day. However, with the rapid development of artificial intelligence (AI) technology, Google ads marketing strategies are undergoing a revolutionary change. This article will delve into how AI can reshape the strategic framework of Google ads and provide practical suggestions to help companies maintain an advantage in the competition.
I. AI-Driven New Era of Google ads
1. Background: The Endless Opportunities of Google Search
15% of new searches every day mean that consumers are constantly looking for new information and solutions. This provides businesses with endless opportunities to meet these needs through Google ads. The power of Google is its ability to match consumer intent with potential solutions to create value for businesses.
2. Core Point: AI is Reshaping Google ads Marketing Strategy
Traditional Google advertisements strategies rely on highly segmented ad account structures and manual controls. However, with the advancement of AI technology, this refined control is being replaced by intelligent optimization. AI can not only automate the delivery and optimization of advertisements, but also make dynamic adjustments based on real-time data to improve the effectiveness of advertisements.
3. Importance: Businesses Need to Adapt to AI-Driven Advertising Trends
In the new era of AI-driven advertising, companies need to understand and adapt to this trend to stay ahead of the competition. This not only means accepting AI technology, but also rethinking the framework of advertising strategies, shifting from refined control to intelligent optimization.
II. How AI Changes the Strategic Framework of Google ads
1. From Refinement to Simplification
Traditional advertisements strategies require enterprises to set up highly segmented advertising accounts, from keyword matching to the production of advertising creatives to the bids for each click, all of which require manual control. While this granular setup provides a high degree of control, it also introduces complexity and inefficiency.
2. AI-Driven Strategy: Simplify Account Structure and Improve AI Performance
Different from traditional strategies, AI-driven strategies emphasize simplifying the account structure and removing unnecessary restrictions, thereby improving the performance of AI. AI requires a large amount of data for learning and optimization. An overly segmented account structure will limit the learning ability of AI, thereby reducing the effectiveness of advertising.
Case: Sephora’s Successful Experience
Sephora is a classic example. The brand's original ad account structure was based on its rich product line, which resulted in overly complex accounts, affecting advertising profitability and goal achievement. By simplifying the account structure, Sephora's marketing team reduced the number of ad campaigns by 85%, resulting in a 42% increase in conversion rates, a 6% increase in average order value, and a 13% increase in return on ad spend (ROAS).
3. Importance of Data and Keyword Topics
The key to simplifying your account structure is data and keyword themes. Data is the fuel for AI, and keyword topics provide contextual information for AI. By grouping keywords into related topics, AI is able to better understand the goals of the ad and select the best keywords and ad creatives.
Case: Keyword Theme for Flower Shop
Suppose you are a florist and want to know how roses are being sold. If you put "Red Roses," "12 Roses," and "Pink Roses" in different campaigns or ad groups, it will be difficult to understand the overall performance of the "Rose" category. On the contrary, grouping these keywords into the theme "rose" is not only convenient for you, but also convenient for AI learning and optimization.
III. Practical Operations and Advantages of AI-Driven Advertising
1. Application of Smart Bidding
Smart Bidding is one of Google's AI-powered advertising technologies that uses machine learning to optimize bids for every search. Through Smart Bidding, companies can maximize advertising effects based on conversion data and value-based bidding strategies.
Case: Sephora’s Smart Bidding Application
While Sephora simplifies the account structure, it also uses Smart Bidding technology. The results show that the combination of Smart Bidding and simplified account structure significantly improves ad performance. This shows that Smart Bidding requires good data support to achieve its maximum effectiveness.
2. Improve the Accuracy and Efficiency of Advertising
Simplifying your account structure not only improves your ad's performance, but also improves your ad's accuracy and efficiency. By reducing the number of ad campaigns, businesses can more easily track and manage the performance of their ads, saving time and resources.
Case: Time Savings for Enterprises
For many businesses, managing multiple advertising campaigns means investing a lot of time and effort. By simplifying the account structure, enterprises can devote more time and resources to the formulation and long-term adjustment of overall business strategies, thereby improving overall business performance.
3. Gain Deeper Insights
Simplifying account structures can also help businesses gain deeper insights. By grouping related keywords and ad creatives into the same theme, businesses can gain a clearer understanding of how their ads are performing, allowing them to make smarter decisions.
Case: Flower Shop’s Insights
Going back to the florist example, by grouping all rose-related keywords into the same topic, the florist can gain a clearer understanding of rose sales and adjust advertising strategies based on these insights to improve overall sales performance.
IV. Topkee’s Google ads Advertising Service
Topkee uses the latest website scoring tools to conduct a comprehensive and in-depth assessment of a company's website, and provides detailed SEO problem reports and solution suggestions. This can not only help companies improve their ranking in search results, but also increase the conversion rate of potential customers. Topkee's TTO tool is a complete and efficient online marketing and promotion tool. Through TTO accounts, enterprises can manage multiple advertising accounts and implement functions such as account opening applications, media budget association, and advertising account authorization. In addition, TTO can also achieve accurate and diverse data tracking, thereby improving the effectiveness of advertising. According to the business needs of the enterprise, relevant information is collected and summarized from different dimensions to produce professional and innovative theme proposals. These proposals can not only help companies save planning and preparation time, but also improve the effectiveness of advertising campaigns. Regularly provide advertising target reports, including advertising reports, conversion reports and return on investment (ROI) reports, to comprehensively reflect the company's Google advertisements execution status and effectiveness. Through these reports, Topkee can help companies manage advertising budgets more effectively and optimize future advertising plans.
Conclusion
AI is reshaping Google ads advertising marketing strategy, shifting from refined control to intelligent optimization. Businesses need to understand and adapt to this trend to stay ahead of the competition. By simplifying account structures, leveraging Smart Bidding technology, and working with professional advertising service providers, businesses can maximize the effectiveness of Google ads and improve business performance. If you are looking for professional Google ads services, Topkee will be your best choice.
