Friday, September 8, 2023

Streaming Actually Has Higher Costs than Did Linear, Fewer Revenue Sources

The video streaming business, going direct to consumer, has higher costs than the older linear video subscription model for the same reason other retail distribution models come with higher costs than wholesale models. 


Wholesale is a business-to-business transaction with a few customers. Retail is a business-to-consumer transaction with many to millions of customers. Wholesale avoids the costs associated with selling to actual end users, including marketing, stocking, point-of-sale operations and handling of returns, plus lots more customer service and billing and payments processes. 


Cost element

Video streaming

Linear video

Content

Higher

Lower

Marketing

Higher

Lower

Technology

Higher

Lower

Operations

Lower

Higher

Total costs

Higher

Lower

Revenue

Subscriptions

Advertising


Beyond that, revenue sources generally change. Where linear TV has dual revenue streams (advertising and subscription fees), video streaming has generally featured a reliance on subscriptions mostly, though in recent days we have seen a proliferation of ad-supported services as well. 


In addition, linear TV subscription revenue models have included affiliate fee payments to content owners from distributors. Streaming generally has not featured that revenue stream. 


Also, streaming--like any other internet-based business--hinges on scale. For streaming services, that means “going global” rather than remaining a “national” service. 


Still, operating as a “direct to consumer” provider means supporting retail costs in the marketing area that did not exist in the linear format. 


Cost

Linear

DTC

Acquisition marketing

$5-$10 per subscriber

$10-$15 per subscriber

Retention marketing

$1-$2 per subscriber

$2-$3 per subscriber

Avoided expenses

$2-$3 per subscriber

$0

Total marketing costs

$8-$13 per subscriber

$12-$18 per subscriber


No comments:

Have LLMs Hit an Improvement Wall, or Not?

Some might argue it is way too early to worry about a slowdown in large language model performance improvement rates . But some already voic...