AI For Video Marketing
There’s no doubt that Artificial intelligence is making it easy to create more video content. Video is now the go-to platform for businesses to use content marketing and is likely to see skyrocketing growth. According to Gartner, 59% of firms have already deployed AI.
AI has revolutionised how brands target their users online by offering an abundance of actionable insights and tangible results. The available analytics have enabled digital marketing tactics such as ad targeting and search optimisation easier. Thanks to AI based analytics, brands know more about their customers. It has provided them with increased access to their browsing habits. This information that brands can gather through their customers can result in the creation of an actionable marketing strategy and can prove to be one of the effective social media marketing tips. Check out this recommendation for an interesting guide about how to generate leads from social media marketing by InVideo.
There are an array of reasons why personalised marketing has become essential, and AI enables the creation of more personalised video content. Personalised video marketing may not be seen as a tactic being adopted by most of the brands yet, but you are likely to see more of it coming in the future. Generic marketing is sure to decrease across digital channels with the rise in customisation that AI marketing offers. Over the coming years, AI is likely to offer the potential for hyper-personalisation in case of video that customers are bound to love.
With that said, creating quality isn’t without obstacles and requires significant investment in terms of time, talent and video production.
Let us look at the ways in which marketers can take advantage of AI.
Table of Contents
1. Targeted Marketing
It is a cost-effective method that ensures that the right consumers see your video. On social media, targeting is already present with Facebook, Instagram, and Twitter, allowing to target a group of users which makes the company’s audience. High conversion rates coupled with lower spend are an easy win for a marketer. In the case of Google, initially, it invested in Adwords to direct users to videos, however, newer technology has seen Google offering a solution called ‘Find my Audience’ option in case of video marketers. To further drive the usefulness of ads, YouTube now only charges a company when they see an ad.
2. High Production Quality And Distribution
A high quality video tends to engage the users and is fun to look at. However, even with a high quality video, it is necessary to get it in front of the right audience. AI can help in dealing with both the elements. AI can advise companies on the type of videos that will work well for a particular demographic. With the user data available, AI can successfully predict what type of videos their customers would like to interact with.
AI also learns what type of topics your audience enjoys and provides inspiration for further advertising using predictive technology. This makes it easier to narrow down on the content and video distribution channels to be used. Enhanced algorithms allow related videos to get more views that video marketers can thus capitalise on. Learn more about video distribution channels from this guide here.
3. Eliminating Time Spent In Search
For video creators, dealing with the sheer volume of footage can be a headache. Moving through video files to find the perfect shot can take hours and in order to limit this AI can help. It can find the colors, locations, actions, and the right clipping of a video within seconds. For example, if you search for babies playing in the bathtub, AI powered tools can retrieve the videos which meet all the criteria, providing the right level of specificity for video editors.
4. Enhanced Predictability
When you are creating videos, you are likely to look at the past insights and come up with a content strategy to get the most views. However, this approach can be time consuming and frustrating, yielding results that are unpredictable.
This challenge again can be dealt with with AI. It can read an ad’s video, audio, and other relevant information to identify the demographic segments which are relevant and makes it easy to line up the right ad with the right platform. AI can also identify the best footage and highlight it for use in a particular project, saving the time and hassle of editors to browse through endless video files.
5. Streamline The Production Process
A traditional video process is filled with repetitive tasks which can be automated using AI. For example, content creators require developing different types of thumbnails, flash cards to match the requirements for social media platforms such as Facebook and Instagram. With AI, the need to manually optimise content for different social media platforms is eliminated. It can also help in color correction and another time consuming part which is the video editing process.
Using Big Data And AI Together
It is using Big Data, social media companies get to know about which individuals to market to. In case of YouTube, big data possess characteristics that can be general such as age and location or be specific about preferences. The level of specificity can be crucial for an advertiser and will help them to know what a user is interested in buying. It can help in narrowing down the ads to focus on the most convertible customers.
Where we are with AI right now is only the beginning and there will certainly be more innovations that will emerge and is poised to drive video creation further. It is an exciting time for the creative minds, with AI to help streamline and simplify video editing.
Also Read: ITIL Foundation Training? How Does It Benefit Your Career
- Mastering Algorithmic Trading Without Coding Skills - November 10, 2023
- 8 Tips for Procuring Technology for Your Business - August 15, 2023
- 5 Financial Best Practices To Follow When Starting A Business - July 6, 2023
