I was recently involved in an interesting discussion on the use of sampling which I will attempt to repeat (in a disguised fashion) here. Certainly sampling can be a great way to seed the market with to induce trial and hopefully repeat consumption. But the question is how do we account for the results from the sampling?
Multi-step marketing
Let’s say that we offer samples of a new product at some major event. Let’s assume it is a food product costing less than a dollar per serving. The assumption is that after the sampling event, the consumer will go home and then purchase it again (and again) in the traditional outlets of food, drug or mass. As opposed to a typical television commercial, this is a two (or more) step process begun with the initial sampling event leading to further purchase actions.
Sampling and marketing mix modeling
The traditional marketing analysis technique, marketing mix modeling (MMM) has difficulty capturing the results from a sampling event, because it doesn’t capture the true purchase dynamics. MMMs try to correlate the bumps and wiggles in the marketing inputs with the bumps and wiggles in the outputs, sales to determine the relative impact of each of the marketing activities. In the case of sampling, a multi-step marketing tool, the follow-on purchases can’t easily be determined because the increases in the output bumps and wiggles don’t easily correlate back to the inputs, although some synergy elements can be tried.
Because of this, attribution back to the sampling activity is potentially misrepresented and in the usual case under-attributed. Smart marketers know this and continue to use sampling knowing that the traditional analytics don’t correctly account for these types of multi-step marketing tools.
Agent-based modeling and multi-step marketing
In order to measure these results or those of other multi-step marketing activities, we need to use other analysis techniques. Survey techniques can determine the propensity to repeat immediately following the initial trial and deliver reasonable results, although they may not be able to include all of the nuances of synergy and other surround-sound marketing effects.
In order to properly account for sampling amidst all of the other marketing activities, a consumer-centric approach is required and agent-based modeling can be one of those methods. Because agent-based modeling can accurately represent the impact of this multi-step trial and repeat process it can easily deliver the necessary analytics to determine the true impact of sampling on the marketing mix.
There are many other examples of multi-step marketing. Certainly in the business-to-business marketing environment where marketing delivers leads to a sales force is one. Catalytic marketing also has elements of a multi-step approach.
If you have other examples of multi-step marketing that fall into this discussion please let me know.
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