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Howard Blumenthal's avatar

Acknowledged, but I think you are overestimating competent understanding of the marketplace and potential opportunity. Working with all four Philadelphia DMA stations, and with stations in several other markets (SF, Chicago, etc.), I found profound gaps in that understanding. In many cases, rural counties were discounted, and diversity of communities and neighborhoods was ignored. In others, much of the 18-54 cohort was overestimated by a large measure, non-white was treated as white, and audience composition of local commercial news was based upon long-held but often shaky assumptions. My most complete analysis was for Beta stations nationally and how they fit into the marketplaces, and also the combined impact of PBS39 + WYBE, which covered about 50 counties (I don't recall the precise count).

Howard Blumenthal's avatar

Although it's difficult to comment without seeing a full demo, the overall thrust seems to be on the sell side. I wonder about the buy side. What is the market need? Who are the competitors and are they well-funded, stable? Are they growing their revenues and staff and offerings, or are they on decline? Are they independently controlled and local or are they controlled by third parties who operate news as a cost center with modest local involvement? Is the market (DMA, etc.) highly fragmented, as it is in Philadelphia, with rural, urban, suburban communities who don't much care about one another, or is the market more unified with a significant common culture? What is the core planning assumption for the news operation: serve all of Philadelphia, serve all of the Jewish people in certain Southern New Jersey communities, serve Delaware County or Upper Bucks or Lower Moreland? How much population in the chosen area -- and what does news and media coverage look like specifically in that area? Is there a willingness to watch / read / listen based upon confirmed evidence and meaningful trends? Is there a willingness to pay / support with actual dollars that can be used to pay salaries?

Maybe your current model covers all of this, and I missed it. Anyway, I would start on the user side of the equation, figure out the allowable spend and its trajectories based upon several key variables, and then, look at the product side. If they don't match, then the AI behind the tool should issue a stern warning about magical thinking, and should suggest three or five key variables (on either side of the equation) that could transform a challenged model into something viable.

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