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Creative Intelligence
Published:
June 2, 2023
Updated:
February 2, 2024

Maximizing ROI with Intelligent Ad Creatives: Tips and Tricks for Marketers

Rangan Das

Maximizing ROI with Intelligent Ad Creatives: Tips and Tricks for Marketers

Published:
June 2, 2023
Updated:
February 2, 2024
Rangan Das

Highlights

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

Intelligent advertising has emerged as a powerful tool in the marketing arsenal that can significantly enhance ROI. By utilizing sophisticated technologies and analytical tools, intelligent ads can gather vast amounts of data about consumer behavior, preferences, and purchase history.

Intelligent ad creatives leverage data, machine learning algorithms, and artificial intelligence (AI) to use this data and create personalized and targeted ads for individual users. Speed, efficiency, and personalization play a crucial role in making advertisements effective and hence, the use of intelligent ad creatives has become a necessity. AI can help generate these ads by analyzing user data to develop effective ad creatives. The use of AI has several advantages, including increased personalization, efficiency, optimization, and scalability. While AI-powered ad creatives also have several limitations, such as complexity, dependence on data, privacy concerns, and a potential lack of creativity, they can still greatly assist creative departments and boost human productivity.

It is now easier than ever to implement these solutions into your marketing pipeline and maximize your ROI. In this post, we discuss 5 key points on how we can use the right tools to leverage AI to increase your ROI and ROAS. 

1. Know your Audience

person writing on white paper
Photo by Melanie Deziel on Unsplash

Knowing your audience is critical to maximizing ROI on intelligent ads. Intelligent advertising employs advanced technologies and data analytics to send personalized messages to specific groups of people. This method enables marketers to personalize their ads based on demographics, interests, purchase history, and online behavior, making them more relevant and engaging to the audience.

Brands can tailor their messaging to resonate with their audience and foster a stronger connection by understanding their needs, pain points, and preferences. This link can lead to increased engagement, click-through rates, and, ultimately, more conversions and sales.

Furthermore, knowing your audience can help you identify which advertising channels and formats are most effective for reaching them. For example, if your audience is more likely to engage with video content on social media platforms, you can allocate your budget accordingly and optimize your ad campaigns for those platforms.

An AI-enabled creative intelligence platform can be a game-changer when it comes to maximizing ROI on intelligent ads. Such a platform utilizes machine learning algorithms and data analytics to analyze vast amounts of data, such as audience behavior, preferences, and demographics, to generate insights that can inform ad creative development. This makes it an essential creative automation tool for marketing teams, empowering them to create personalized and engaging ad creatives based on real-time data analysis.

With the help of an AI-enabled creative intelligence platform, brands can gain a deeper understanding of their audience's preferences and interests, allowing them to develop ad creatives that are more personalized and engaging. These platforms can suggest different variations of ad creatives based on the audience's preferences, such as different images, colors, and messaging, to optimize performance.

2. Incorporate Personalization

Personalized content for kids on Netflix
Photo by Karolina Grabowska

Personalization contributes to a stronger bond between the viewer and the brand. Personalization is essential in intelligent advertisements because it contributes to a more engaging and relevant experience for the viewer. Brands can leverage data to increase the likelihood of engagement, conversion, and, ultimately, ROI by delivering tailored content that speaks directly to the viewer's interests, needs, and preferences.

Here are the key steps for introducing personalization into intelligent ad creatives:

  1. Data segmentation: To deliver personalized content that resonates with each segment, brands can segment their audiences based on demographics, interests, and behavior.
  2. Dynamic Content: Intelligent ads can use dynamic content that changes based on the viewer's behavior, location, and other factors. For example, a retailer's ad could show different products based on the viewer's browsing history and location.
  3. Retargeting: Retargeting is the practice of displaying personalized ads to viewers who have previously interacted with your brand or visited your website in order to re-engage them and bring them back to your site.
  4. Personalized communications: Intelligent ads can use personalized messaging that addresses the viewer's specific needs and pain points.
  5. Interactive ads: The viewer gets an engaging and personalized experience with interactive ads. They can include interactive features such as quizzes, surveys, and games tailored to the viewer's interests and preferences.

3. Use High Quality Visuals

Free Street Lights Stock Photo
Photo by Jose Francisco Fernandez Saura.

High-quality visuals can have a significant impact on the performance of intelligent ads. With the ever-increasing amount of content online, high-quality visuals can help ads stand out and grab viewers' attention. These visuals can also enhance brand recognition and perception by conveying a sense of professionalism and quality. 

Additionally, high-quality visuals can effectively showcase a product's features and benefits, increasing the likelihood of viewers taking desired actions such as making a purchase. Overall, incorporating high-quality visuals into intelligent ads can lead to increased engagement, conversions, and ultimately, ROI.

Here are five ways high-quality visuals in intelligent ads can help maximize ROI:

  1. Grabbing attention: Ads with high-quality visuals can capture viewers' attention and increase their likelihood of engaging with the content. With so much content available online, viewers are more likely to notice ads that are visually appealing and stand out.
  2. Creating brand recognition: High-quality visuals can aid in the development of a strong brand identity and recognition. When viewers see a brand's high-quality visual elements in ads on a regular basis, they are more likely to remember and recognize the brand.
  3. Enhancing brand perception: High-quality visuals can also improve brand perception by exuding professionalism and quality. This can have a positive impact on viewers' perceptions of the brand, increasing their likelihood of trusting and doing business with it.
  4. Showcasing product features: Visuals can help to showcase a product's features and benefits in an understandable and compelling manner. This can increase the likelihood of viewers purchasing or performing other desired actions.
  5. Encouraging social sharing: High-quality visuals can entice viewers to share advertisements on social media platforms, increasing brand visibility and reach. If viewers find an advertisement visually appealing, they are more likely to share it with their friends and followers, potentially increasing engagement and ROI.

In today's oversaturated digital landscape, high-quality visuals can make all the difference in helping ads stand out from the crowd and capture viewers' attention, ultimately leading to higher engagement and ROI.

4. Leverage Emotion

A good marketer revokes emotion in marketing
Source: The Drum

Brands can use emotions in a variety of ways to create more impactful intelligent ads. Storytelling can elicit emotional responses from viewers, whereas color psychology can elicit specific emotions by using the appropriate color palette. Furthermore, music and sound effects can elicit an emotional response and improve the overall viewing experience. Personalization can tailor content to viewers' interests and needs, creating a sense of connection. Humor can be used to create a positive association with the brand.

By analyzing data to determine which emotional triggers resonate with viewers, AI-assisted creative intelligence platforms can assist brands in harnessing emotions in their advertisements. These platforms use machine learning algorithms to analyze viewer data in order to identify patterns in what types of content and emotional appeals are most effective. This data can then be used to develop more effective emotional advertising.

Furthermore, these platforms can assist brands in personalizing their advertisements based on viewer data, resulting in content that is tailored to individual interests and preferences. Personalized messaging, visuals, and calls to action can all be used to elicit specific emotions in the viewer.

5. Test and Optimize

Ad testing is an important part of the advertising process because it enables brands to optimize their content for maximum impact. Brands can refine their ads and achieve better results over time by testing different ad variations and monitoring performance metrics.

Brands can test and optimize intelligent ads in several ways, including:

  • A/B testing: This involves creating two versions of an ad with a single variable changed (such as the ad copy or the visual) and then running both versions simultaneously to see which performs better.
  • Multivariate testing: This involves testing multiple variables at once to see which combination performs best. For example, a brand might test different ad copy, visuals, and calls to action all at once.
  • Audience testing: Brands can test their ads on different audience segments to see which ones respond best. This can involve testing different messaging, visuals, or calls to action with different demographics or psychographic groups.
  • Performance tracking: Brands can track the performance of their ads over time to identify trends and optimize accordingly. This can involve tracking metrics like click-through rates, conversion rates, and engagement rates.
  • Machine learning optimization: Brands can use AI-powered tools to automatically optimize their ads based on real-time data. These tools can analyze data on viewer behavior and automatically adjust ad content and targeting to achieve better results.

AI-assisted creative intelligent platforms can assist brands in testing various emotional appeals and optimizing their advertisements for maximum emotional impact. Brands can continually refine their emotional ad content using A/B testing and other optimization techniques to achieve better results and higher ROI.

Conclusion

AI-enabled software will play a major role in understanding, creating, and deploying advertisements in the future. To leverage the true power of intelligent ads, you need intelligent creative management solutions in your workflow. It's like having a creative partner – incorporating online proofing ensures that your advertisements are not only intelligent but also visually compelling and effective. To understand how your business will benefit from such solutions, get a demo!

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