There are several different methods for accomplishing this goal. Things may look great for the client as a whole, but how do we sift through the data quickly and efficiently to know when things might be going wrong in, say, just the Oklahoma City market? While this detailed level of attention yields fantastic results for our clients, it can make my job as an analyst very difficult. What that means is that we utilize geographic siloing to a large degree: every city we’re marketing to kind of exists in its own little strategy bubble. IntroductionĪt Flint Analytics, we specialize in hyper-local marketing strategies for multi-location businesses. If you’d like to skip the theory and go straight to the application, click here. We’ll get to the fun applied part after getting through some of the need-to-knows. The math can be a bit boring, so bear with me. Disclaimer : We’re going to be using some calculus and linear regression here.
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January 2023
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