Are you leveraging AI-driven Google Ads for 10% higher conversions?

In April 2025, Google Ads ushered in a major innovation and launched a new reporting function Performance Max campaigns, marking a new era of AI-driven marketing. This breakthrough update allows advertisers to gain in-depth insights into channel effects, search terms, and asset performance, while achieving precision marketing within a privacy compliance framework. According to Google's official data, more than one million advertisers have adopted this solution and successfully increased conversions and conversion value by more than 10% through more than 90 quality improvements in 2024. In an environment where data privacy regulations are increasingly stringent, brand cases such as Blackroll and Butlers have further proved that the strategy of combining AI modeling with first-party data can not only respect user privacy choices, but also create 41% growth in session tracking. This article will deeply analyze the latest technological innovations in Google Ads and provide a cross-industry practical guide to help companies gain marketing opportunities in the era of privacy compliance.

I. AI-driven innovation of Google Ads’ maximizing campaigns

1.1 Latest features in 2025: cross-channel integration and AI automation

The most revolutionary breakthrough of Google Ads’ maximizing campaigns in 2025 is its deeply integrated cross-channel coverage and AI automation technology. This solution now fully covers all Google platforms, including search, Discover, Gmail, display advertising network, search partners and maps, forming a seamless marketing ecosystem. Its core value lies in breaking the channel barriers of traditional advertising campaigns, and reaching the user’s behavior trajectory at various digital touchpoints through a single advertising campaign. The newly launched channel-level reporting function responds to the long-term market demand, allowing advertisers to intuitively grasp the contribution of each channel. For example, home and garden retailers found that YouTube performed well through this function, and then adjusted their strategies to increase investment in video materials, successfully improving conversion rates. This cross-channel visual analysis capability, combined with the mechanism of AI automatic budget allocation, allows advertisers to dynamically adjust resource allocation based on real-time data to maximize benefits without spending manpower on tedious channel optimization.

1.2 Empirical data: Technological breakthroughs that increase conversion rates by 10%

More than 90 quality improvements made by Google Ads in 2024 have produced significant results. Official data shows that advertisers' conversion times and conversion values have increased by more than 10% on average. The key to this technological breakthrough lies in the AI model's ability to process massive amounts of user behavior data in real time, which can predict the potential value of each ad display opportunity in milliseconds. The campaign that maximizes performance uses advanced machine learning algorithms to not only analyze surface indicators such as click-through rates, but also track the user's complete path from exposure to conversion and establish a multi-touch attribution model. Janette Esala, senior director of performance marketing at DigiKey, pointed out that these enhancements enable them to "improve marketing strategies, drive sustainable growth, and maximize return on advertising expenditures." It is particularly noteworthy that these efficiency improvements do not require manual operation by advertisers at all. The system automatically converts technical improvements into actual performance growth, allowing marketing teams to focus on strategy formulation and creative development.

On a red background, there are red bar charts with an upward - trending red arrow, suggesting continuous growth.

II. In-depth analysis of three core reporting functions

2.1 Channel-level performance report: visual cross-platform data tracking

Google Ads’ latest channel-level performance report function has completely changed the way advertisers monitor cross-platform performance. This breakthrough tool provides an intuitive data visualization interface, integrating fragmented data originally scattered across various channels into a unified view. In the "Pipeline Performance" page, advertisers can not only see the overall performance at the campaign level, but also deeply analyze the contribution of each touch point through interactive charts. Taking the retail industry as an example, the system can clearly display the conversion paths and synergies of shopping ads, dynamic remarketing ads, and product video ads. This function places special emphasis on the segmentation analysis of key advertising formats, especially the performance comparison between video ads and product information flow ads. In practical applications, when the display share of a certain type of advertising fluctuates abnormally, advertisers can quickly locate the root cause of the problem, whether it is caused by changes in algorithm allocation, changes in the competitive environment, or a decrease in the attractiveness of the material. The channel distribution table also provides a download function to meet the needs of enterprises for in-depth analysis outside the Google Ads interface, realizing true data democratization.

2.2 Search term report: Accurately grasp the keywords of user intent

The complete search term report is another important innovation in the campaign to maximize the effect. It allows advertisers to get a glimpse of the user's real search intent. Unlike traditional keyword reports, this feature not only displays the query terms that trigger the ad, but also analyzes the strength of the association between these terms and actual conversions. Financial services provider WeLend has found through this report that search terms with high conversion rates often contain expressions with urgent needs such as "low interest rates" and "fast approval" rather than industry-wide product names. This insight directly affects its content strategy, prompting the team to create more targeted advertising copy. The report also reveals the hidden value of long-tail keywords. Many precise queries that seem to have low traffic actually bring conversion values far higher than the average. A more advanced application is to compare the differences in search terms in different channels. For example, map searches tend to be localized (such as "nearby" and "open"), while traditional searches are more comparative terms (such as "best" and "evaluation"). This kind of insight helps to formulate segmented communication strategies.

III. Best Practice Cases by Industry

3.1 Retail: Conversion Rate Doubling Strategy for YouTube Video Ads

The retail industry has shown amazing results in Google Ads’ maximum performance campaigns, especially the strategic application of video ads. An international home furnishing brand found through channel-level reports that the viewing completion rate of its product unboxing videos on YouTube reached 65%, far higher than the industry average of 40%, and the direct conversion value brought by this type of content was three times that of display ads. Based on this insight, the brand reconfigured content production resources, increased the proportion of product videos from 20% of the total material volume to 45%, and produced 360-degree display videos for high-potential product lines. With the automatic material optimization function of Google AI, the system can automatically select the best video clips to generate a streamlined version of the ad, reducing the cost per action by 28%. More importantly, the combination of this type of rich media content and product information flow creates a seamless "watch and buy" experience, shortening the average path from watching the video to completing the purchase by 2.3 steps, and doubling the conversion rate.

3.2 Financial Industry: AI Bidding Model of WeLend Lending Platform

Faced with the dual pressures of rising interest rates and tightening regulations, Hong Kong online lending platform WeLend urgently needs to improve the quality of potential customers rather than the quantity. Its solution is to combine enhanced conversion with a value-based AI bidding model to feed offline loan approval data back to the Google Ads system. This closed-loop data integration enables the AI model to identify characteristic patterns of high-value customers - for example, users who search for "urgent small loans" and stay on a specific terms page for more than 90 seconds have an actual loan approval rate that is twice the average. The system then automatically adjusts the bidding strategy, increasing bids for such high-potential search queries by 30% while reducing budget allocations for low-conversion queries. The results show that this data-driven approach increased conversion rates by 12% and conversion value by 17%. What's more amazing is that customer retention rates after loan approval also improved simultaneously, proving that the AI model not only optimizes front-end customer acquisition, but also screens out high-quality users who are more compatible with the product.

3.3 Real Estate: Sansiri’s CRM Data Integration Practice

Sansiri, a top real estate developer in Thailand, faces unique challenges in the luxury real estate market: each transaction is valuable but the conversion path is extremely long, with an average of 6-8 months from first contact to actual transaction. Through the deep integration of Salesforce CRM and Google Ads, Sansiri has achieved unprecedented potential customer cultivation tracking capabilities. The system automatically matches offline sales data with original advertising touch points, and finds that those potential customers who have been exposed to both virtual reality house viewing ads and loan plan content have a 43% higher chance of closing a deal. Artitaya Pansuwan, Planning Director of iProspect, explained: "This is not only an attribution problem, but also a pioneering bidding strategy based on the customer life cycle." Now, Sansiri can dynamically adjust the frequency of advertisements and the focus of messages based on the stage of potential customers (first contact, model room viewed, loan pre-approval passed, etc.), which has doubled the efficiency of following up high-intent customers, while reducing the cost of each customer acquisition by 48%, demonstrating the power of precision marketing in the high-end market.

IV. Topkee's Google Ads Solution

Topkee provides one-stop online advertising services based on Google Ads, aiming to help companies increase potential customers and improve sales performance. Regardless of the size of the customer, Topkee can provide tailor-made solutions. Its service scope covers the entire advertising process from pre-evaluation to post-analysis, and helps customers achieve the best results in Google advertising campaigns through professional tools and strategies.

In the early stage of service, Topkee will conduct a comprehensive website evaluation and analysis. Using the latest website scoring tools, the team will deeply detect the SEO status of the customer's website, produce a detailed problem report and provide optimization suggestions. Through these basic optimization work, the ranking of the customer's website in the search results can be effectively improved, thereby increasing exposure and potential customer conversion rate.

TTO tool is one of the core technologies of Topkee's solution. This system can centrally manage multiple advertising accounts, realizing one-stop operations such as account opening application, media budget association and account authorization. The advantage of TTO lies in its accurate data tracking capability. Customers can associate multiple tag IDs and set conversion events according to conversion goals with one click. All data will be automatically synchronized to the advertising background, greatly improving the efficiency of advertising and data accuracy. Compared with traditional UTM parameters, the TM tool developed by Topkee provides more flexible customer tracking functions. TM rule templates can be customized according to multiple factors such as advertising source, media type, and activity name, and generate landing page links with TMID, so that customers can instantly grasp the actual results of various advertisements, making online marketing activities more accurate and targeted.

In the creative production stage, Topkee combines AI technology with a professional design team to produce high-quality advertising copy and visual materials based on product characteristics and market trends. Designers will strictly control the screen design and content presentation to ensure that all creative materials can effectively improve the marketing and promotion effect. Remarketing strategy is Topkee's strong service. Through the TTO system, we track user behavior data and analyze the actual impact of each channel on the conversion rate. Based on the results of attribution analysis, the team will segment the audience into different groups, design personalized remarketing content, and push it through the appropriate channel at the best time. Data shows that this advertising strategy for specific scenarios and user types can increase user purchase intention by more than 70%.

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Conclusion

Google Ads' AI innovation and privacy compliance solutions for maximizing advertising activities are redefining the competition rules of digital marketing. From Blackroll's 41% increase in session tracking to Sansiri's 43% increase in potential customers, empirical cases show that the strategy of combining AI automation and first-party data has become a performance watershed. Nestlé CMO Aude Gandon's "philosophy of balancing creativity and technology" points the way for future marketing teams - data-driven decision-making while respecting user privacy, but without losing the emotional magic of human creativity. With the exit of third-party cookies and the rise of generative AI, companies need to act now: establish first-party data centers, deploy privacy-friendly technology stacks, and cultivate a cross-departmental data collaboration culture. These transformations are by no means easy, but the rewards are significant - not only short-term performance improvements, but also long-term digital resilience. If you need professional guidance during the implementation process, please contact our consulting team and let us help you gain marketing opportunities in the era of privacy compliance.