Overview
At digometrics, we do not believe in “cookie cutter” attribution modeling. And, year-over-year, it has been evident that last-touch and multi-touch attribution frameworks have routinely missed the mark and “break” frequently. This is why our data science and analytics team work tirelessly to construct client-custom KPI journey maps that put causation above correlation in attributing each and every marketing dollar. It is the digometrics promise to make as few assumptions as possible about the nature of your data, which is why we ground ourselves in a strictly nonparametric practice.
IDENTIFYING OPTIMAL SPEND & DIMINISHING RETURNS
Businesses are economic agents - i.e. entities wishing to maximize profits against budgets. From this, digometrics leverages doctoral econometric methodologies to pinpoint the precise spending ranges, pricing limits and asset allocations necessary to solve that optimization problem.
MAPPING CAUSALITY
Marketing has a purpose - to inspire action in a customer base. But, to do so can be costly, and media waste is a very real pain-point for companies, who are dependent upon actionable plans and channels that they can trust with their investment dollars. From this, it is the digometrics mission to, exclusively, report on causality, wherever it may surface.