| This article uses a lot of numbers to make not very strong arguments. Lets assume that as a media planner, you have the bag of money under your desk to plausibly be discussing buying a Superbowl spot. You are already spending millions of dollars on media every month, the question is - will the Superbowl spot yield more than other channels ? For some small set of advertisers in this decision matrix, there's also the question of whether the media production cost is worth it (hello coinbase). For the vast majority of decision makers in this position, the media production budget is already getting spent. Lets say the spot plus extra cost is $10m to use a nice round number. You have an expectation of how many new users or website visitors your media budget typically delivers for $10m, because you spend that regularly (monthly, quarterly, it doesn't matter, but the point is that your spend has been growing). So the decision is really really simple. Superbowl or the other places you've been shoving $10m. Sometimes it works, sometimes it doesn't, but usually its like eh compared to the other places you've been shoving your $10m, underwhelming. Which is why you see justification pieces like this. |
It seems all guesswork to me. User journeys and decisions are not well enough understood to say, "If I spend $1 here, it’ll return $x".
Of course, marketing people come up with all kinds of calculations to show it’s possible.
That or I’m completely ignorant.