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Why AI Will Play a Key Role in 2023 in Video Marketing

Published on March 30, 2023

Why AI Will Play a Key Role in 2023 in Video Marketing

Lights, camera, AI! The video marketing landscape is set to transform in 2023 with the emergence of two crucial trends: AI video editing and personalized content. 

AI-powered video editing can significantly cut down on production time while personalized content is becoming increasingly important for businesses looking to engage with their audience. Furthermore, advanced analytics is expected to play a major role in measuring the impact of video marketing efforts. 

In this article, we'll explore how AI is set to revolutionize video marketing trends in 2023 and beyond.

 

What is AI Video Marketing?

AI video marketing refers to the use of artificial intelligence (AI) technology to create, analyze, and optimize video content for marketing purposes. It involves leveraging AI algorithms and tools to streamline the video creation process, personalize content for specific audiences, and measure the impact of video marketing campaigns.

AI video marketing can involve various techniques, such as using AI-powered video editing tools to automate post-production tasks and create more polished videos, using AI algorithms to identify the best shots and angles in footage, and using personalized data to create targeted video content that resonates with specific audience segments.

Overall, AI video marketing aims to make the video creation and marketing process more efficient and effective, while also delivering more personalized and engaging content to audiences. By using AI-powered tools and techniques, marketers can better understand their audience's preferences and behaviors, create more compelling video content, and drive better results for their video marketing campaigns.

 

Using AI Video Editing Tools: Faster and More Efficient Video Production

Video editing can be a time-consuming and labor-intensive process, especially for large-scale projects. However, with the help of AI-powered video editing tools, the process can become faster and more efficient. Here are some ways AI can help with video editing:

 

Automatic Shot Selection

One of the biggest challenges in video editing is the amount of time it takes to sift through all the footage and find the best shots and angles to use in the final video. This can be especially time-consuming for large-scale projects with lots of raw footage.

Fortunately, AI-powered video editing tools can help solve this problem. By using algorithms to analyze the footage, AI can quickly identify the best shots and angles to use in the final video. This not only saves editors a lot of time but also ensures that the resulting video is of higher quality since it includes only the best footage.

 

Smart Cuts and Transitions

When it comes to video editing, one of the most important aspects is the use of cuts and transitions to move the story along and keep the viewer engaged. However, deciding where to place these cuts and transitions can be a challenge, especially when working with large amounts of footage.

This is where AI can come in handy. AI video editing tools can analyze the footage and identify natural breaks, such as pauses in speech or changes in scene, and use them as cues for cuts and transitions. By doing so, the resulting video feels more seamless and polished, with fewer jarring cuts or awkward transitions.

 

Automated Video Editing

Creating short-form video content, such as social media posts or promotional videos, can be a challenging task for video editors. It often requires quick turnaround times and the ability to create engaging content that meets specific criteria, such as a certain length, tone, or style.

This is where an AI-powered video editor can be particularly useful. By using machine learning algorithms to analyze the footage and apply specific criteria, the editor can automatically create a video that meets the desired specifications.

 

Post-Production Tasks

Post-production tasks such as color grading, sound mixing, and special effects can be time-consuming and require a lot of technical expertise. This is where AI video content creation can be particularly useful, by automating these tasks and streamlining the editing process.

One example of this is in color grading. Color grading is the process of adjusting the color balance and contrast of the footage to improve the overall look of the video. This is typically done manually by video editors, but AI-powered tools can help automate this process. By analyzing the color balance of the footage, AI algorithms can make adjustments to improve the overall look of the video, such as adjusting the brightness, contrast, and saturation levels.

Another area where AI can help streamline post-production tasks is in sound mixing. Sound mixing involves adjusting the levels of the audio tracks to create a balanced and cohesive sound. AI-powered tools can analyze the audio tracks and automatically adjust the levels to create a balanced sound mix.

 

Subtitle Generation

Subtitle generation is an important advancement in video marketing automation. For stunning videos backed up with closed captions or subtitles, you can use one of the most impressive video editor tools Flixier is offering: the AI subtitle generator.

Our advanced free AI makes adding subtitles to your videos a breeze. Just upload the video, click on Generate Subtitles and let our software do the work for you. Afterwards you can customize the looks, size and content of your subtitles to fit your exact preferences.

 

Personalized Content: The Power of Tailored AI Video Marketing

Personalized content refers to content that is tailored to meet the individual needs and interests of a customer. Personalization has become increasingly important in AI video marketing as customers are bombarded with generic messages that do not resonate with their specific needs. With personalized content, brands can create a more engaging and relevant experience for their audience.

One way that AI can be used to create personalized videos is by analyzing customer data such as browsing history, search queries, and social media activity. AI algorithms can use this data to create personalized videos that speak directly to the customer's interests, preferences, and behaviors.

For example, an online retailer can use AI to analyze a customer's browsing history and suggest products that they might be interested in. The retailer can then create a personalized video showcasing these products and highlighting their unique features. This approach can help to increase engagement and conversion rates by providing a more personalized and relevant shopping experience.

There are many successful examples of personalized video campaigns. A successful example is Spotify's Wrapped campaign, which used customer data to create personalized videos highlighting each individual's listening habits over the past year. These videos were highly personalized and helped to create a more engaging and emotional connection between the customer and the brand.

A screenshot of Spotify's Wrapped campaign.
Source: https://storiestrend.com/how-to-get-your-spotify-wrapped-for-2022-4287356utm_sourcekeystoneutm_mediumkeystone_core_reviews_rssutm_campaigntrustedreviews/ 

 

 

Advanced Analytics: Making Sense of the Data

One of the biggest challenges in video marketing is measuring its impact. Unlike other forms of marketing, it can be difficult to track how many people are watching a video, how long they are watching it, and whether or not they are taking action after viewing it. This lack of data can make it challenging for marketers to evaluate the success of their campaigns and make data-driven decisions. However, with the rise of AI-powered analytics tools, marketers now have the ability to make sense of the data and gain valuable insights into the effectiveness of their video marketing efforts.

 

By leveraging AI-powered analytics, marketers can track a range of metrics, including views, engagement rates, and conversion rates. These tools can also provide valuable insights into audience demographics and behavior, such as what types of devices they are using to watch the video, what time of day they are most likely to engage with the content, and what actions they are taking after viewing the video. With this information, marketers can better understand their audience and optimize their video marketing strategy accordingly.

 

Make the Most Out of AI-driven Video Editing Software!

AI is set to play a key role in video marketing in 2023 and beyond. From streamlining the video production process to creating personalized content and leveraging advanced analytics, AI-powered tools and algorithms are already transforming the way businesses approach video marketing. As AI technology continues to evolve and become more sophisticated, we can expect even more innovative and effective solutions to emerge in the video marketing space.

 

If you're looking to take advantage of the benefits of AI video editing, consider trying Flixier's AI subtitle generator and other video editing tools. With Flixier, you can easily create professional-looking videos, even if you don't have any video editing experience. Plus, with AI-powered features like the subtitle generator, you can save time and streamline your video production process. So why not give Flixier a try and see how AI can help take your video marketing to the next level?

 

Special thanks to vectorjuice on FreePik for the cover photo graphics.

About the author

Dan Gabriel Apetrei

Dan is passionate about all things tech. He’s always curious about how things work and enjoys writing in-depth guides to help people on their content creation journey.

Dan Gabriel Apetrei

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Frequently
Asked
Questions

How can AI help in video editing?

AI can be incredibly useful in video editing, especially for large-scale projects with a lot of footage. Here are a few ways AI can help: Automatic Shot Selection: AI algorithms can analyze the content of each shot, including facial expressions, tone of voice, and other visual and audio cues, to identify the best shots and angles to use in the final video. This can save editors a lot of time, as they no longer have to comb through hours of footage to find the best shots. Subtitle Generation: AI-powered tools can automatically generate accurate and synchronized subtitles for videos by transcribing the audio and analyzing the visual content. This can save a lot of time and effort for editors who would otherwise have to manually create and sync subtitles. Smart Cuts and Transitions: AI can be used to identify natural breaks in the footage, such as pauses in speech or changes in camera angle, and use those as cues for cuts and transitions. This can make the video feel more seamless and professional. Automated Editing: AI-powered video editing software can automatically edit the footage based on certain criteria, such as length, tone, or style. This can be especially useful for creating social media content or other types of short-form video. Post-Production Tasks: AI can also be used to streamline post-production tasks, such as color grading, sound mixing, and special effects. For example, AI can analyze the color balance of the footage and make adjustments to improve the overall look of the video.

Will AI take over video editing?

While AI is becoming increasingly advanced and capable of handling many aspects of video editing, it's unlikely that AI will completely take over the role of video editors. Video editing is a creative process that requires human judgment, intuition, and a deep understanding of storytelling and visual communication. While AI can automate certain tasks and speed up the editing process, it still lacks the nuanced decision-making skills that human editors bring to the table. That being said, AI can certainly be a powerful tool that complements the work of human editors. By automating repetitive or time-consuming tasks, AI can free up editors to focus on more creative and strategic aspects of the video editing process. Additionally, AI can help editors make more informed decisions by providing data-driven insights and suggestions based on the analysis of large amounts of video data.