Friday, January 15, 2010

Real Estate Advertising Trends: Newspapers Will Gain, Online Will Not

It might be true, at a strategic level, that newspapers are a declining medium while the Web is a growing medium. At a tactical level, that does not automatically mean ad spending always, inexorably is shifting from print to online.

The newspaper business, for example, might see a 16 percent increase in real estate advertising in 2010 while online real estate advertising actuall drops about four percent, more than it declined in 2009.

Ironically, media segments that have generally been perceived as weak, including newspapers and broadcasting, are set to do better. Conversely, those that have been otherwise least affected by the economic downturn, cable and online, are poised to do worse.

Real estate spending on broadcast TV will surge 39 percent in 2010 after declining 44 percent last year. Cable TV will drop 16 percent this year. In 2009, cable TV real estate ad revenue fell just two percent.

Part of the reason for the disparity among the major media segments is that local real estate advertisers have been increasing their spending, while national, out-of-market realtors are decreasing their spend.

The other angle is that so much money has shifted to online formats that there isn't a much room to grow, when other alternatives are more affordable.

About three of every five online ad dollars are currently spent by real estate agents and brokers. Not 60 percent of real estate advertising; 60 percent of all online advertising.

Another reason for the decline in online spending by realtors and brokers also is the result of a tactical shift. More money is being spent on less-costly paid search programs, less on display ads.

Sometimes the conventional wisdom can be wrong. It appears it certainly will be wrong about real estate ad spending in 2010. Newspapers and broadcasting will get more growth; cable and online less.

No comments:

Many Winners and Losers from Generative AI

Perhaps there is no contradiction between low historical total factor annual productivity gains and high expected generative artificial inte...