This piece highlights the economics of attention across consumer media. This is curious for a few reasons, understanding what we as consumers get for free and what that’s worth, what consumers are willing to pay for content, the potential for up and coming media like TikTok, how scale and personalization impact the economics.
We have broken it into two sections, different mediums and different platforms. And the dollar amount per hour the platform earns from our attention.
|Revenue per hour (cents)|
Arising or outstanding questions
Some of the areas that need exploring:
- How do the economics change over the life cycle of a media format and/or media company.
- Finding historical data for the more traditional mediums.
- A hypothesis on the best balance.
Have any corrections? Please Tweet or email me.
Read on for the sources behind the data.
In the US, in 2019, the average male spent 5.5 hours of leisure time and females 4.9 hours.
Using this calculation, there may be more accurate data available.
Using the breakout provided here.
Used an average of 16.3 minutes/day, then extrapolated how many newspapers are in circulation and US print revenue. Of $26.5b revenue, circulation of 28.6m/weekday, 30m/weekend, 8 hours/month.
This data could be improved.
Assuming 4 ads per hour, at the middle CPMS quoted here.
This is based on what Amazon Prime pays the creators. The real economic rate could be higher or lower. Lower if Amazon were investing aggressively in attention or lower if Amazon is wanting to make a margin on it.
*This datapoint is based on what a creator is paid for their content, whereas other data points are what the consumer has paid the platform or calculated from ad revenue.
Using time of 19 hours/month and ARPU in the US of $13.21/month, $39.63/quarter.
Using $100/year and 7 hours per week.
ARPU of $5.50/month and average streaming time of 25 hours/month.
Using this calculation.
YouTube data is harder to come by but in 2019 Google offered a break out of revenue, this paired with hours watched a month provides an estimation. This would be global.
- 3.25b hours watched a month