Top 7 ways AI-driven context transforms audience engagement and targeting strategies
Perion Marketing
13th Jul 2026
Audience targeting has become increasingly complex now that the use of third-party cookies is more challenging. One solution that is gaining momentum is leveraging contextual targeting. Contextual targeting is a marketing technique that places ads based on the content of a webpage, ensuring the ad is contextually relevant to the viewer without relying on personal data. While audience targeting usually delivers ads to user segments based on demographics, behaviors, or interests, using contextual intelligence for audience targeting offers a powerful solution.
Contextual AI uses advanced algorithms to understand the meaning and context of digital content, helping advertisers place ads in highly relevant environments without relying on third-party cookies. As AI continues to transform digital advertising, contextual intelligence has become an important signal alongside campaign performance, creative effectiveness, and other optimization inputs. Together, these capabilities help improve ad relevance, audience engagement, and business outcomes.
This article will explore 7 ways contextual AI is changing the way marketers target ads.
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The purchase intent of consumers exposed to contextual ads is 14% higher compared with traditional targeting.
A study in 2022 found that purchase intent was higher among consumers who viewed contextual ads compared to other types of advertising by 14%. When a user gets served a contextually targeted ad, they’re viewing ads related to the content they are viewing, which catches more of their attention.
When viewers find the ad relevant to what they’re searching for, they’re more likely to purchase. For example, a luxury car brand advertising on a luxury goods and lifestyle website may attract the attention of users with the income potential to make a purchase.
Context-based AI targeting maximizes brand visibility by delivering the ads next to the content that matches your brand’s message. Viewers associate your brand with the content that interests them, which helps build a positive brand recall. A recent study showed that the right context can increase ad recall by 6.3 times.
Contextual targeting selects only the categories relevant to the brand’s positioning, thus improving how your brand is perceived. Leveraging contextual AI helps brands reach their right audience and increases the likelihood of purchasing.
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One of the main ways Contextual AI is revolutionizing digital advertising is by delivering precise targeting with the help of machine learning algorithms. AI models can analyze vast amounts of contextual signals, content, and campaign performance data to identify the most relevant advertising opportunities while respecting consumer privacy.. Premium AI solutions can identify patterns in content without human supervision.
AI models analyze content across the internet to achieve unparalleled precision when targeting according to specific criteria. A study by the Alliance for Video-Level Contextual Advertising found that when analyzing content with AI, the viewer’s attention and recall are up to 4 times better.
AI-powered advertising helps maximize ROI by placing ads in relevant environments and continuously learning from campaign performance. By combining contextual intelligence with real-time optimization, advertisers can improve media efficiency, reduce wasted spend, and drive stronger business results.
Contextual AI helps advertisers deliver more relevant advertising experiences by aligning creative with the content consumers are actively engaging with.
The targeting is based on data-driven insights, performing an accurate analysis of the content. The ability of Contextual AI solutions to create personalized ads at scale is possible thanks to machine learning and other artificial intelligence technologies.
Combined with AI-driven campaign optimization, contextual intelligence helps advertisers deliver relevant messaging at scale while improving campaign efficiency and reducing wasted impressions.
Contextual AI is the ideal solution to future-proof marketing because it doesn’t rely on any third-party data. Because contextual targeting is based on the analysis of content rather than individual identifiers, it supports privacy-first advertising strategies while helping brands reach relevant audiences.
The analysis of the context using AI and machine learning helps identify and avoid problematic content. Contextual targeting technologies integrate safety precautions to avoid content that can harm the brand, like adult content, hate speech, violence, or misleading information.
Contextual AI targeting is helping brands achieve high-impact campaigns and precise targeting. Here are some top examples:
Source: Perion
The automotive giant Mercedes-Benz aimed to drive awareness and engagement for its Certified Pre-Owned (CPO) vehicles and sales events at local dealerships. The goal was to generate interest among in-market, existing, and new customers.
To achieve this, Mercedes-Benz paired unique high-impact ad executions with Perion’s privacy-first contextual targeting (SORT™). This strategy combined privacy-first contextual intelligence with high-impact creative formats to engage audiences across devices while maximizing attention and campaign effectiveness.
The campaign leveraged dynamic creatives to deliver personalized messages that featured the closest dealership, which ensured the ad remained relevant to the users. This campaign increased brand awareness and intent by focusing on a privacy-compliant, contextually intelligent targeting strategy.
The results were outstanding. SORT technology outperformed third-party cookies and contextual targeting across all key performance indicators (KPIs). The campaign results included:
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Ambetter sought to increase awareness of the Open Enrollment Period (OEP) and drive leads from key target markets. Partnering with HLK Agency, Ambetter aimed to reach audiences across multiple platforms using Connected TV (CTV) and high-impact display ads.
To achieve this, Ambetter combined high-impact display and CTV products to deliver engaging ad experiences. SORT technology, Perion’s privacy-first, cookieless targeting solution, was employed to maximize reach and ensure accessibility across browsers and devices that traditional cookie-based targeting could not cover. That strategy enabled Ambetter to reach relevant audiences across screens and devices while maintaining a privacy-first approach.
Perion’s SORT technology outperformed third-party targeting solutions, delivering unrivaled lifts across all KPIs:
Perion combines privacy-first contextual intelligence with AI-powered campaign optimization to help advertisers improve relevance, efficiency, and measurable business outcomes. Solutions like SORT™ enable brands to reach audiences in contextually relevant environments without relying on third-party cookies, while Perion’s broader AI capabilities continuously optimize campaign execution based on real-time performance signals. Together, these technologies help advertisers improve engagement, maximize media efficiency, and adapt to today’s privacy-first digital landscape.
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AI enhances audience targeting by analyzing contextual signals, campaign performance, and other relevant data to identify opportunities for more effective advertising. It can continuously optimize campaigns, improve media efficiency, and help advertisers achieve business objectives while supporting privacy-first marketing strategies. It uses machine learning to predict audience preferences and serve personalized ads. AI also powers tools like lookalike modeling, behavioral targeting, and dynamic ad creation to reach the most relevant users efficiently.
Contextual targeting is resurging due to privacy concerns and regulations like GDPR, which restrict data tracking. It doesn’t rely on cookies; instead, it matches ads to relevant content based on keywords, categories, or context, creating a more user-friendly, privacy-compliant ad experience.
Common methods include keyword analysis, semantic analysis, and sentiment detection. AI also uses natural language processing (NLP) to understand the context of content and place ads accordingly. These methods ensure ads align with relevant topics, improving engagement rates.
We think we’ve cracked the code on balancing the unyielding necessity for creative supremacy, but also driving a better, truer way of personalization that yields powerful incremental results
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