Remember “The Sims”? My personal favorite game in college, it asks players to control a virtual human being. These “Sims”, as they’re called, are plopped into a virtual neighborhood with certain rules (such as gravity, aging, and an economy) and are left to their own devices to interact with the objects in their world and one another. The result is a functioning model of a human suburban neighborhood – one that undersimplifies things a bit, but is recognizably human. But what if marketers had a version of the Sims especially for them – one where they could put a marketing message into the environment, and watch how the “Sims” interacted with it?
One of the coolest parts of this year’s research into consumer process was getting to speak with a number of vendors and companies that do just that, using a process called agent-based modeling. Agent-based models are mathematically-created worlds populated by mathematically-created people, who are then exposed to a certain stimulus. In marketing, that stimulus is usually a message or marcom effort; other disciplines use diseases or changes in the economy.
The end result is a plausible estimate of the effects of a marketing campaign on a customer base – something that can be used to test proposed marketing plans to see which delivers the highest returns. For B2Cs, the “agents” can be consumers, for B2Bs, agent-based models can estimate the effect of marketing campaigns on corporate buying centers and within broad discipline areas.
MLC members, to learn how agent-based modeling works in marketing planning, please visit the members-only insight page we’ve put together on the subject, and register for our September 15 webinar, featuring MLC researchers and ThinkVine, a vendor in the modeling space.

It’s that time of year again, when many marketers are making the strategic choices that will carry them through the coming fiscal year. That’s right, it’s planning season. (Members: it’s not too late to 







