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Every piece of work we produce carries a funnel stage, every audit organizes its findings by stage, and every dashboard slices the data the same way. Four stages, defined once, used everywhere.

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Cohorts, not metrics

Each stage is a population rather than a number. We do not measure metrics floating in isolation. We measure groups of people and how they move between stages. The Awareness cohort is everyone who encountered you for the first time in a given month, across every surface—search, the podcast, social reach beyond your own followers, press, events. Not the same people returning. The Affinity cohort is everyone showing return engagement without yet being in market. Subscribers, repeat readers, people who listen to most of an episode rather than the first two minutes. The Action cohort is everyone who took a step within the period. A form, a download, a call booked, a record created in your pipeline. The Advocacy cohort is converted customers producing second-order pipeline. Referrals, customers cited by inbound leads, case studies shipped, and growth in people searching for you by name.

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Transitions are the point (forthcoming)

Cohort counts alone produce a taxonomy. The transitions between them produce a funnel, and that is where the meaning lives. We aim to track three per month. What share of a month’s Awareness cohort becomes Affinity within thirty days. What share of an Affinity cohort takes an in-market step within ninety. What share of a quarter’s Action cohort closes within six months. Here is why this matters more than anything else on your dashboard. “A thousand new visitors” is not a finding. It is weather. “Eight percent of last month’s new audience came back and subscribed within thirty days, up from six percent last quarter” is a finding, because it says something about whether the work is doing its job rather than how much of it there was. It also reframes what a good month looks like. A small audience with a fifteen percent transition rate is a healthier business than a large one at one percent, even where the absolute numbers look similar. One has a machine. The other has traffic.

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Reconciliation

We cross-check your web analytics against your CRM to look for the differences rather than picking whichever number is more flattering. Discrepancies are useful. A gap between what the site recorded and what the pipeline shows almost always points at a tracking problem worth fixing, and finding it in month three is far better than discovering in month eleven that a quarter of your form submissions were never counted.