In the rapidly changing landscape, a seismic shift is underway. We are living in times when automation has taken center stage in all sectors, especially advertising.

Gone are the days of laborious manual toil for advertisers and publishers alike. Enter programmatic advertising, the game-changer that harnesses data and technology to plan the perfect sync of ads, reaching their intended audience at the precise moment.

The prediction of global programmatic ad spending is to reach 725 billion by 2026. The United States remains the leading programmatic advertising market worldwide. However, advertisers often encounter, two major challenges with programmatic ads:

1. Lack of transparency
2. Ineffective targeting

The programmatic advertising environment is intricate and opaque, making it challenging for advertisers to comprehend how the advertisements are deployed. As a result, advertisers waste money on ads and overpay. Programmatic advertising falls short of engaging the target audience since it heavily relies on data.

Also Read: What is Programmatic Advertising?

Navigating Path for Advertisers to Overcome Obstacles

Along with these challenges, there is another elephant in the room, the demise of third-party cookies.

With the third-party cookies phase-out, tracking user data will be difficult as they will not have a unique identifier that can be used to track users across multiple websites.

In this evolving landscape, advertisers find themselves at a crossroads.

1. They are in desperate need of a solution that offers them a way to overcome the programmatic ad challenges.
2. A solution that targets ads without interfering with the user’s privacy.

As a solution, contextual advertising is a ray of hope.

Contextual Advertising as a Solution: How?

In the dynamic realm of advertising, contextual advertising isn’t a newcomer. This methodology which aligns ads with the surrounding content, lost its spotlight as advertisers pivoted towards behavioral targeting, a strategy yielding superior outcomes by delivering personalized ads.

Yet, the relentless pursuit of personalization led to an overindulgence, raising concerns among users about data misuse and their digital safety.

The privacy concerns of users led to the introduction of strict guidelines by GDPR and CCPA along with major browsers banning the use of third-party cookies.

These changes have made advertisers retrace their steps to an older path of advertising – Contextual Advertising.

Contextual display advertising focuses on aligning the ad with the content of the web page rather than emphasizing the user’s data.

The AI-powered system identifies key contexts of the web page’s content and serves the most relevant advertisement based on contextual cues.

For example, a user engrossed in an article about car maintenance encounters an ad spotlighting the latest automobile release by a prominent brand. Here, the connection is made not through personal data but through content relevance.

Contextual targeting 2.0: Why is it better this time around?

As the world moves forward, contextual advertising is pacing up with it! The recent advancements in algorithms have helped advertisers to perform hyper-contextual targeting.

Natural language processing (NLP) is used to analyze the text content of web pages in order to help advertisers understand the context of the content. 

Machine learning is used to develop algorithms that can predict the likelihood of a user clicking on an ad. This can enhance the ROIs and ensure advertisers that they are only paying for ads that are likely to be clicked on.

Hyper-contextual targeting is still in its early stages, but it has the potential to revolutionize the way that advertising is targeted. As AI and ML continue to develop, hyper-contextual targeting is likely to become even more accurate and effective, leading to better results for advertisers and publishers alike.

Get Started with Contextual Advertising Today!

AdTech organizations are taking full leverage of this evolving time! Silverpush, a leading ad tech organization, has introduced Mirrors, an AI solution for programmatic contextual advertising.

Mirrors comprehensively identify key contexts across webpages, including text, images, and videos. Utilizing Natural Language Processing (NLP), it identifies keywords and categorizes content. Additionally, AI-powered technology employs video analysis for image recognition, effectively identifying celebritiy name, brand name, and various activities within images.

Furthermore, Mirrors employs semantic analysis on the content of a webpage. This enables the extraction of significant information, including emotions and instances of sarcastic expression. This extracted information contributes to the deployment of relevant advertisements.

Still not convinced? We have more!

Unlocking Advantages

1. Abides by strict privacy guidelines: According to a study, 72% of Americans are concerned about their privacy.

Contextual advertising abides by the privacy guidelines set by GDPR, COPPA, and CCPA as it doesn’t rely on cookies rather it depends on the content the user is consuming.

2. Drives high Return on Investment and Return on Ad Spend: Contextual programmatic advertising leverages the already generated interest of the user. Since the user is already intrigued by the topic, the chances of the user clicking on relevant ads increase significantly.

3. Relevant to the user: The audience demands relevancy, when tailored ads are shown to the user they feel more comfortable. According to a study, 79% of UK consumers are comfortable seeing contextual ads.

4. Brand safe: While focusing on user privacy advertisers also need to focus on their brand’s safety as well. Brands’ reputations must not be compromised at any cost. Wrong ad placements have often led to a damaged reputation and revenue loss. Since ads are placed based on relevancy, brands can ensure that their ads are placed in brand-safe and suitable environments.

Final Thoughts

Contextual programmatic advertising becomes a sustainable choice for the advertising landscape. As tracking methods like cookies are fading away and brands and advertisers are emphasizing privacy-focused targeting approaches.

Combining contextual programmatic targeting with artificial intelligence and machine learning can provide advertisers with valuable information for effective targeting. This approach offers a wide range of insights to help advertisers reach the right audience and fit seamlessly in the evolving landscape.

Video games have always engaged a large audience, especially GenZ, and millennials. This gives advertisers and brands an opportunity to innovatively establish a solid brand recall.

As gaming devices continue to gain popularity and offer more opportunities for brands to reach their audience, the global gaming market is predicted to grow at a CAGR of 9.9% from 229.39 billion in 2022 to 252.10 billion in 2023. Additionally, it’s projected to reach 401.32 billion by 2027 at a CAGR of 12.3%. 

The gaming industry is in an evolving phase and advertisers must explore this in-video game advertising. The primary reasons are: 

• The gaming industry has a huge audience base who play games on different devices. This means brands have more than one opportunity to reach their targeted audience. 

• With a large audience reach, the gaming industry has a loyal fan base. According to a study, in-gaming advertisements had influenced 44% of gamers to engage with brands. 

However, this pool of advertising opportunities will require brands to focus more on brand safety. 

What are the Key Components of Brand Safety for In-Video Gaming Advertising?

Measures taken to protect the brand image are known as brand safety. This is done to protect brands from irreparable damage as we had a few examples in the past of how the brand’s reputation was damaged beyond repair due to ad placement next to inappropriate content. 

Interactive Advertising Bureau (IAB) has shared an impactful framework for advertisers which can help them in ensuring brand safety.

1. Contextual Targeting:

The process to phase out third-party cookies was started years ago. This was done to abide by the privacy of the user. Amidst the evolving landscape of advertising, advertisers began to rely on contextual targeting which resulted in higher brand engagement. In-video gaming advertising, advertisers must rely on contextual advertising to be profitable as the AI-powered technology ensures that the ads appear to the relevant content. A customized blocklist is prepared but unlike keyword-based targeting, the AI understands the context of the keywords used like a human mind. This increases the advertising opportunity, brand safety, and audience engagement with the brand.

2. Partner Selection:

Brands look for partners who would help them in setting up the ads in the video games. But before finalizing the partners, brands must evaluate them based on their game quality, advertising ecosystem, and compliance with General Data Protection Regulation(GDPR) and Children’s Online Privacy Protection Act (COPPA) regulations. It’s also essential to review the game’s content for any violent or inappropriate content that doesn’t align with the brand’s values. Advertisers should request a comprehensive explanation of the partner’s brand safety policies and a block list of prohibited advertisers or services. 

To enhance your brand safety, you perform the following steps to ensure multi-level verification. Use a combination of the following verification tools: 

• Viewability – This will help you get the percentage of ads seen by your audience. This tool ensures that your ad is seen by the target audience. 

• Fraud detection-This tool will help you in identifying and preventing fraud. It will detect invalid traffic, bots, and any fraudulent activity which has the ability to impact your campaigns. 

• Brand Safety Protection- This tool will add an additional layer of protection for contextual targeting. The tool will ensure that your ads aren’t displayed against inappropriate content. 

• Audience Verification- This tool will give you insights into the audience who have seen your ad.

 3. Ad Placement and Monitoring:

A key component of brand safety in video game advertising is ad placement. To prevent any unfavorable connotations with the brand, advertisers should make sure that their adverts are positioned in the proper areas inside the gaming environment. 

For instance, advertisements for gambling or alcohol shouldn’t be included in kid-targeted games since they might expose kids to unsuitable content and harm the reputation of the company. 

In a similar vein, advertisements for graphic or explicit content need to be kept out of games targeted only at adults. To make sure that their advertising is neither obtrusive nor disruptive, advertisers should also take the context of the gaming environment and the entire user experience into account.

Apart from the placement advertisers should keep a close eye on their campaigns to ensure they are not running in inappropriate places. Utilizing technology solutions and collaborating with partners to resolve any problems that may occur be part of this. For instance, advertisers may check ad placement and look for any possible brand safety issues using third-party technologies. They may also closely collaborate with their partners to resolve any problems and make any necessary modifications. In order to track success and pinpoint any areas for improvement, advertisers should also set up clear reporting tools. Advertisers that regularly report on their campaigns can better spot potential problems and take proactive steps to solve them before they become a problem.

Conclusion

The gaming industry is on the rise and in the coming years gamers will be a prominent and much larger community. Advertisers must explore this evolving landscape of advertising while they focus on brand safety.