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The Cost Of Multichannel Cannibalism
Revenue share deals are appealing for their simplicity as well as the sense they provide of protecting the advertiser’s bottom line. As long as the commission rates make sense financially, it seems the advertiser can’t lose money.
However, the fact that some sales are cannibalized from other channels can change the economics significantly if the degree of cannibalism is material.
The reason for this is simple: while the pay-out percentages and discounts may make sense on the incremental sales driven by the channel, the fact that they’re also applied to cannibalized sales the advertiser would have gotten anyway make the true costs of the program higher and somewhat harder to see.
Let’s take a look at how this works:
Say an advertiser has 50 points of margin on an average order through a particular channel. Suppose that on top of that standard percentage, perhaps a 10% off coupon has been applied on the average order. If we add another 9% variable cost for pick/pack/ship, and some type of revenue sharing commission, the P&L for this program starts to take shape.
Let’s say last-touch credit tracking assigns $100K in sales to this program.
On the surface, the numbers look pretty good.
The last touch perspective:
However, when we recognize that some of these sales likely would have happened without that last marketing channel, and that those sales came at lower margins and higher costs because of that last touch, the numbers change.
The incremental sales perspective:
Here we “tax” the marketing program for the incremental cost of sales (COGs, variable costs, commissions and discounts), and for the costs associated with giving discounts and paying commissions on sales that weren’t incremental.
Note that as the incremental percentage drops those other costs pretty quickly swamp the program.
The implications of this for traditional rev share relationships that involve a fair amount of sales cannibalization (affiliates and email) are pretty obvious, but for those who pay their paid search agency on commission the implications are pretty serious as well, particularly for advertisers that do a great deal of offline marketing and hence generate tremendous sales volume on their brand.
Let’s take a look at how that model might be structured:
The revenue sharing agreement above is structured such that the agency covers the media costs as part of the revenue share. The incremental percentage torpedoes this program because the revenue share pays the agency for sales on the advertiser’s trademark. Obviously, most of those sales would happen through the advertiser’s organic brand ads if no sponsored link was present.
Indeed, we’ve seen too many cases of agencies generating 70 to 80% of their fees off the first five minutes of work on the account in setting up the advertiser’s brand campaign. It doesn’t create much incentive to do the hard work necessary to build a competitive search program, and that absence of incentive to work on the most valuable piece of the program is usually evident when we look under the hood.
Cannibalism can make any revenue sharing arrangement far more costly than it seems. This makes it imperative that parties agree on how sales will be attributed so that dashboards and scorecards remain in sync and that the rev-share percentages makes financial sense all around. That attribution management system must be more sophisticated than simply last-touch gets all the credit because too many orders that end with a search on “acme” or “acme coupon” would have happened without that final touch.
There are other problems associated with revenue sharing, but as more and more marketing programs offer “cost per action” pricing, the problem of cross-cannibalization will get worse.
What seems like a sure-fire pricing model guaranteed to protect the advertiser’s interest turns out to be far less attractive once you look under the hood.
If you’re interested in playing with the numbers in a spreadsheet, that toy model is available at the RKG Blog.
Opinions expressed in this article are those of the guest author and not necessarily Search Engine Land. Staff authors are listed here.