How Should a CEO Use a Hierarchy of Marketing Metrics?
A CEO uses a hierarchy of marketing metrics by defining strategic and operational measures that connect marketing strategy to business goals, aligning each metric to the right audience and decision level, and ruthlessly editing down to the measures that actually drive decisions. Data alone doesn't deliver results — the value comes from turning an abundance of marketing data into a focused set of metrics aligned to a common set of business goals.
Why a hierarchy instead of just data?
CEOs have access to a wide range of marketing performance data, from ad-impression costs to funnel-conversion statistics. But access to data is only the start: collecting data is just "counting stuff" — facts like how many or how often — and a raw number has no meaning without context. Knowing you generated 30 qualified leads tells you nothing until you compare it to last year, a target, or another channel. Metrics provide that context, cutting through the data noise to focus on the measures that drive decisions. A hierarchy organizes those metrics so the right people see the right measures for the right decisions.
How do you decide what to track?
Define which metrics suit each level of decision — tactical, operational, and strategic — and how the tactical and operational metrics ladder up to the strategic ones, which are the most important measures of business performance (the KPIs). Tailor the hierarchy to your organization's audiences and the decisions they make, and work with neighboring functions like sales and services to define the metrics that genuinely drive better business performance.
How do you build the hierarchy?
Align each metric to its audience and decision type by asking three questions: what does the metric report and at what level of granularity (campaign, business unit, market, or organization)? Who is the appropriate audience, and how often should they see it? And what decisions should it support — executive, operational, or tactical? Aligning visibility to the audience's responsibilities ensures each metric reaches the people who can act on it.
How do you handle missing data and bloat?
Defining metrics takes both top-down and bottom-up work: before committing to a metric, appraise whether you can actually deliver it — whether the underlying data points exist, how often, and how reliably — and assess your ability to track, access, and analyze it. Where data is missing, determine whether it can be substituted in the near term with a proxy and sourced more reliably later. And edit ruthlessly: too much data impedes decisions, so choose only metrics material to decision-making, reviewing reports periodically with stakeholders to prune and adapt as needs change.
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