In today's digital age, video content has become a crucial tool for brands to engage with their audiences. Integrating AI in video content creation has significantly impacted how brands produce and utilize video content. This blog post explores why brands increasingly lean into AI video content creation, highlighting the dominance of short-form social video ads, the variability of video content by company size, the objectives behind video content across different scales, and how AI streamlines production.

The Dominance of Short-Form Social Video Ads

Short-form social video ads have emerged as the most common format across nearly all company sizes. These brief yet impactful videos are particularly effective in quickly capturing audiences' attention, making them a preferred choice for many brands. 

The popularity of short-form content is evident from its widespread use, especially in the following company size categories:

• Micro Companies (<10 employees): Primarily produce explainer videos (26.5%) and short-form ads (23.5%).

• Small Companies (10-99 employees): Focus on short-form ads (25%) and TV ads (19%).

• Mid-A Companies (100-499 employees): Concentrate on short-form ads (29%) and TV ads (19.8%).

• Mid-B Companies (500-999 employees): Short-form ads (19.6%) and brand narratives (25.5%) are prioritized.

• Enterprise Companies (1000+ employees): Create the most varied types of content without any single category dominating.

Video Content Variability by Company Size

The type of video content companies produce varies significantly depending on their size. Larger enterprises tend to create a more diverse range of content than smaller companies. 

The diversity of content is determined by the different needs and resources available to companies of varying sizes. For example:

• Micro to Small Companies: Focus more on explainer videos and short-form ads to build awareness and engage their target audience.

• Mid-Market Companies: Produce a balanced mix of short-form ads, TV ads, and brand narratives to address different marketing goals.

• Enterprises: Can create various content types, including brand narratives, internal training videos, and extensive product demos.

Objectives Behind Video Content Across Different Scales

Despite the variability in video content types, the primary objectives behind video production remain relatively constant across different company sizes. 

These objectives include:

• Engaging Current or Prospective Customers: The primary goal for many companies, regardless of size.

• Educating Current or Prospective Customers: Ensuring the audience understands the product or service.

• Raising Awareness of Products or Services: This is especially important for smaller companies looking to build their brand.

• Driving Sales: Mid-market and enterprise companies place a slightly higher emphasis on using video content to drive sales.

• Growing the Audience of Prospective Customers: A common goal across all company sizes.

The below graph illustrates these objectives, showing a relatively uniform distribution with slight variations for mid-market and enterprise companies focusing more on driving sales.

How AI Video Content Creation Streamlines Production

AI has revolutionized video content creation by automating various aspects of the production process. Here are some ways AI is streamlining video production for brands:

• Efficiency: AI tools can quickly produce video content, reducing the time required for production. This is particularly beneficial for creating short-form content that needs to be timely and relevant.

• Customization: AI enables personalized video content tailored to different audience segments, enhancing engagement and effectiveness.

• Cost-Effectiveness: Automating parts of the video production process lowers costs, making high-quality video content accessible to smaller companies with limited budgets.

• Consistency: AI ensures consistency in quality and messaging across all video content, maintaining brand integrity and coherence.

  
  

By incorporating AI into video content creation, brands can produce engaging, high-quality videos more efficiently and cost-effectively, meeting the diverse needs of their audience and achieving their marketing objectives.

Integrating AI in video content creation offers brands numerous advantages, from streamlining production to enabling more personalized and compelling content. As the demand for video content continues to grow, leveraging AI will be essential for brands looking to stay competitive in the digital landscape.

Use Augie to enhance your video marketing strategy, particularly if you want to scale your content production efficiently.