Jonathan Robbin
Jonathan Robbin was a social scientist who founded the marketing firm Claritas in 1971 and built PRIZM, a system that combined census data with postal ZIP codes to sort American neighbourhoods into forty lifestyle clusters with names like Money and Brains, Shotguns and Pickups and Bohemian Mix. He matters here because he is the point at which the audience stops being a single mass and becomes a set of addressable segments. Everything downstream, cable narrowcasting, cable demographics, the targeting layer under today's advertising platforms, runs on the assumption he made commercially credible: that where you live predicts what you will buy, closely enough to sell.
Who they are
Robbin was a sociologist by training who moved into commercial data. He founded Claritas in 1971 and built PRIZM by applying factor and cluster analysis to newly digitised United States census data, then cross-referencing the result with ZIP code delivery areas. The first version produced forty clusters from 1970 census data, each one a named type rather than a number, which is part of why the system travelled so well among people who were not statisticians. The names did a great deal of work. Money and Brains, Shotguns and Pickups and Bohemian Mix are recognisable social portraits, and a media buyer could hold them in mind in a way that a factor loading does not permit.
The commercial demonstration is the part worth citing. Tim Wu's account has the 1982 launch of Diet Coke aimed at a small set of specific PRIZM clusters, so that the new product would find drinkers without cannibalising TaB (pp. 170-180). That is geodemographic clustering doing real work under a real budget, not a research curiosity, and it is the sort of evidence that persuaded an industry.
Two psychological points follow, and they run in opposite directions. The first is that Robbin's system worked at all, which tells you something about how strongly consumption clusters with neighbourhood, income and status signalling. The second is what it did to the question being asked. Before PRIZM the commercial question was what is everyone watching. After PRIZM it is who is this person likely to be. That change of question is what makes narrowcasting thinkable: once an audience can be described as a set of separable types, there is a business case for programming to a slice rather than to a nation, which is exactly what cable and then Fox went on to do.
It is worth being precise about the limits. PRIZM is inference from aggregates, not knowledge about individuals. A cluster describes the statistical texture of a postal area, and any given household inside it may be nothing like the label. The system's commercial power came from being right on average across large buys, which is a different claim from being right about you. Modern targeting has inherited both the method and the confusion between those two things.
Key works
Robbin was a practitioner rather than an academic author. What he produced was a commercial system and a company, not a body of published research, and the historical and scholarly accounts of his work are by other people.
PRIZM, from 1971 onward, developed at Claritas. Cluster analysis of United States census data cross-referenced with ZIP codes, producing forty named lifestyle clusters in its first version.
Claritas, founded 1971. The firm built to sell those databases to commercial and government clients.
Secondary treatments this site relies on:
Wu, T. (2016), The Attention Merchants, Knopf, pp. 170-180.
"When the New Magic was New: The Claritas Corporation and the Clustering of America." Scholarly history of Claritas and PRIZM.
Key papers
None. Robbin was a practitioner rather than an academic author, and what he produced was a commercial system and the company built to sell it, not a body of published research. PRIZM, from 1971 at Claritas, applied factor and cluster analysis to newly digitised United States census data cross-referenced with ZIP code delivery areas, producing forty named lifestyle clusters in its first version.
The published accounts of that work are by other people, and this page relies on two: Tim Wu's history in The Attention Merchants, pages 170 to 180, which carries the 1982 Diet Coke launch as the commercial demonstration, and the scholarly history "When the New Magic was New: The Claritas Corporation and the Clustering of America".
Key ideas
Geodemographic clustering: neighbourhood-level census data plus postal geography predicts consumption well enough to buy media against.
The named cluster is the interface. Money and Brains and Shotguns and Pickups made a statistical model usable by people making commercial decisions.
PRIZM changed the commercial question from what everyone is watching to who this person is likely to be, which is the precondition for narrowcasting.
The method infers from aggregates. It describes areas, not individuals, and the gap between those two claims is inherited by every targeting system built since.
Concepts on this site
Find them elsewhere
Lifespan: 1929 to 2019. No social accounts, and none are claimed on their behalf.
Deceased, so no social accounts. Reference is his published obituary in the Kent County News, which records the founding of Claritas and PRIZM
Checked 2026-09-10. Handles and affiliations go out of date, so treat this block as a snapshot rather than a standing fact.
Sources
- Wu, T. (2016), The Attention Merchants: The Epic Scramble to Get Inside Our Heads, Knopf. Robbin, PRIZM and narrowcasting, pp. 170-180.
- Claritas PRIZM, reference entry. Founding of Claritas in 1971, forty clusters built on 1970 census data, cross-referenced with ZIP codes.
- "When the New Magic was New: The Claritas Corporation and the Clustering of America." Scholarly history of the Claritas Corporation and the PRIZM clusters.