Contextual advertising in 2025, top PPC trends

Maxim Dimura

12.01.2025 | 6 minutes of reading

Updated: 12.01.2025

Contextual advertising has long been the number one tool for quickly attracting customers.

At the same time, its efficiency faces new challenges every year. The cost-per-click (CPC) has increased by 20–40% over the past five years, and in highly competitive niches, this figure can reach 50% annual growth. For instance, in the US, the average cost of acquiring a customer (CPA) on PPC platforms already exceeds $100.

For small businesses, these numbers become critical. Managers fear that budgets will “burn out” without real results, marketers worry about low profitability, and entrepreneurs strive to shorten the sales cycle as much as possible. ppc advertising challenges min 1024x1011 Contextual advertising: PPC trends in 2025
Meanwhile, large companies continue to invest in innovations: automation, personalization, and new formats such as video ads and interactive campaigns. This further intensifies competition, increases advertising costs, and raises the question of how small and medium-sized businesses can remain competitive.

What will the market look like in 2025? How can PPC campaigns be adapted to new realities and avoid budget loss?

In this article, we will explore key trends that will shape contextual advertising in the near future and offer strategies to help your business successfully adapt.

Artificial Intelligence and Automation

Artificial intelligence has already become the hallmark of the 2020s, encompassing various fields — from medicine to finance. Digital advertising is no exception. In PPC campaigns, AI serves as a foundation that enables marketers to solve tasks more quickly and efficiently.
In Google Ads, AI is applied in three key areas: bid automation, audience behavior prediction, and campaign settings optimization. Let’s take a closer look at each of these.

Bid Automation: The Smart Bidding Tool

Smart Bidding in Google Ads is an example of how AI helps advertisers save time and improve efficiency. The algorithm analyzes hundreds of signals in real-time, including location, device, time of day, user behavior, and even the likelihood of conversion.

How does it work?

You set a business goal (e.g., increase conversions, maximize ROI, or attract new customers).
The algorithm automatically adjusts bids for each auction to achieve the best possible result.

For our client, a company providing online learning, we launched a campaign using Smart Bidding. In the first month, CPA (cost-per-action) decreased by 15%, and the number of course inquiries grew by 22%.

Advantages:

Time savings on manual setup.
Increased campaign efficiency through optimal bids.

Try this option in your advertising campaigns.

Predicting Audience Behavior

AI not only analyzes data but also predicts how audiences will interact with ads. This allows businesses to focus resources on segments with the highest likelihood of conversion.
How it’s applied:

Creating user behavior models based on historical data.
Identifying “warm” audience segments ready to make a purchase.
Allocating budgets based on predicted performance.

A retail clothing brand, a client of BUSINESS SITE, analyzed its customers’ behavior using AI. The model revealed that users who added items to their cart on Monday were highly likely to complete their purchase within 48 hours. As a result, focusing ads on this group increased conversions by 18%.

Automating Campaign Settings

Modern automation tools like Google’s Performance Max enable advertisers to combine all advertising channels into a single campaign. Algorithms analyze which formats and platforms perform best and redistribute budgets to maximize results.
How this helps:

Launching multi-channel campaigns in minutes.
Automatically testing various creatives and formats.
Real-time optimization without marketer intervention.

Voice and Visual Search

With the development of voice and visual search technologies, new opportunities emerge for advertisers to reach their target audience. By 2025, these formats will not just be trends but essential elements of a successful PPC strategy.

Voice Search: Adapting Contextual Advertising

According to research, more than 50% of users regularly use voice assistants like Siri, Alexa, or Google Assistant to find information.

This requires advertisers to adapt content and keywords for conversational language.
Features of voice queries:

Longer and more natural key phrases (e.g., instead of “buy phone Kyiv,” users might say, “Where can I buy an affordable phone in Kyiv?”).
Using questions: “How?”, “Where?”, “How much does it cost?”.

How to adapt PPC ads for voice search:

Long-tail keywords: Voice search users phrase queries in natural language. For example, instead of “pizza delivery,” the query might be, “Where can I order pizza with fast delivery near me?” Include long-tail keywords and question phrases in your campaigns.
Local targeting: Most voice queries relate to local services. Set up local campaigns focused on “near me” or specific locations.
Example: “Nearest car wash” or “shoe repair nearby.”
Ad extensions: Ensure your ads include additional links, addresses, and phone numbers. This helps voice assistants better interpret your content.
Mobile optimization: Most voice searches are conducted on mobile devices. Make sure your landing pages load quickly and are mobile-friendly.

Certified PPC specialists from BUSINESS SITE regularly adapt Google Ads campaigns for local businesses, improving their effectiveness by 7–12% on average.

Visual Search: Opportunities for Retail

With the advancement of image recognition technologies like Google Lens and Pinterest Lens, users can now search for products simply by uploading a photo. This is especially relevant for e-commerce, where visual search is becoming a key driver of sales.

One fashion brand integrated visual search into its ad campaigns. Customers could upload a photo of clothing to find similar items in the catalog. As a result, website traffic increased by 32%.

How to adapt PPC ads for visual search:

Shopping Ads: Platforms like Google Shopping and Pinterest’s Visual Search allow businesses to display paid product ads in visual search results.
Example: A user uploads a photo of a sofa, and the algorithm shows product ads with similar models.
Using high-quality images: Visual search heavily relies on the quality of graphical content. Ensure your product images are clear, detailed, and properly tagged (Alt tags, Schema).
Integration with visual search platforms: Utilize platforms like Pinterest and Google Lens to show PPC ads to users searching for visually similar products.
Creating galleries in ad campaigns: Include relevant images in ads to increase the chances of your products appearing in visual search results.
Example: In a PPC campaign for a footwear brand, use images of all models available in the collection.

First-Party Data Collection

Optimizing ad campaigns has always relied on audience behavior data. In recent years, advertisers have used two main types of data:
First-party data: Information collected directly by the company from its customers, such as:

Email addresses and phone numbers (via subscription forms);
Purchase history on the website;
User behavior in apps.

Second-party data: Information provided by partners or platforms, such as:

User behavior on third-party websites through cookies;
Collaboration results with other companies;
Data obtained via audience-sharing in ecosystems like Google or Facebook.

With stricter privacy regulations, such as GDPR in the EU and CCPA, collecting second-party data has become more difficult and, in some cases, impossible.

This has created a new reality for advertisers, where first-party data collection has become a key trend for PPC optimization.

Why is first-party data crucial for PPC in 2025?

Resilience to ecosystem changes: The restriction of third-party cookies and the rise of tracker-blocking browsers (Safari, Firefox) make first-party data a more reliable source.
Deeper personalization: Proprietary data allows businesses to better understand their customers and create finely tuned ad campaigns.
Legal compliance: First-party data is collected with customer consent, simplifying adherence to privacy regulations.

How to effectively collect first-party data:

Offer value in exchange for data: Create lead magnets that encourage customers to share information, such as free webinars, checklists, guides, product trials, subscription discounts, and loyalty programs.
Interactive tools on the website: Use engaging mechanisms to gather information:
- Quizzes and surveys;
- Cost calculators for services or products;
- Configurators that allow customers to personalize products before ordering.
CRM and analytics integration: Link your CRM system with advertising platforms to use audiences for retargeting.

Our BUSINESS SITE team has been actively using first-party data collection since 2012. Back then, we experimented with lead magnets and email newsletters.

Today, we log all leads in a CRM system and segment them based on communication outcomes, for example:

“Became a customer” / “Did not become a customer”;
Interested in “website development” / Interested in “website promotion“.

For each segment, we set up specific activities, from retargeting and remarketing to email and SMS campaigns.

Conclusion

PPC advertising in 2025 will face new challenges but also bring unique opportunities. The integration of artificial intelligence, adaptation to voice and visual search, and a shift to first-party data offer businesses the tools to enhance campaign efficiency.

Success will depend on the ability of companies to implement these trends today.

Small and medium-sized businesses can remain competitive by leveraging modern technologies and creating personalized experiences for their customers.

If you want your ad campaigns to deliver results in the evolving market, the BUSINESS SITE team is ready to offer you innovative solutions based on years of experience and proven technologies.