A question I wonder a lot about is, What is the long-run curve of a direct response paid marketing channel? The intuitive theory is that in the beginning, you expect your cost to be high relative to your LTV. The starting curve looks like the below
Marketers are human and all humans suffer from optimism bias, so the marketer will always project a higher LTV than what is finally realized. Thus, in aggregate the initial bid for an ad will always be overstated. In parallel, new companies enter the market all the time, so there are also new marketing programs being spun up. This also increases the probability that there is always an increasing bid for an ad as the new programs that spin up are also optimistic about their projections.
This bid is only one side of the market, what about the other side, the ask? The ad network can decide how many times to show the ad to the consumer and tightly controls the frequency to optimize for user engagement and experience. Nobody wants to be bombarded by ads. So the supply (ask) is controlled by the ad networks and supply is kept scarce relative to the demand.
Ever-increasing bids with limited supply provides a natural pressure for prices to always inch higher. Facebook and Google have figured this out, and that’s why they are great businesses! 🙂 As, the price inches higher, more $ for them without any increase in their fixed cost! So in the long run you never get to the optimization curve down for your CAC, it is a straight line to the right.
The only strategy then for this to work is to constantly tweak your product offering to increase LTV quicker than the increase in CAC. The value you provide to your customer is completely under your control. LTV is totally under your control.