Public Radio Classical Audience January 2017
Background & Executive Summary
§ On behalf of the Classical Music Rising project Scott Williams approached NPR to assess what NPR Audience Insights has learned from classical music stations in PPM markets that might apply to all markets. § Using a Mon-Sun 6a-7p schedule, we identified 26 stations whose schedules consist at least 90% of classical music programming in PPM markets and 113 stations in diary metro markets.
§ Classical music stations in PPM markets… § comprise a larger percentage of listening § Have seen significant growth in listening since 2012; the growth spans from 6a to midnight § These stations have experienced double digit percentage growth in cume and AQH since Spring 2012 across each major daypart (morning, midday, afternoon and evenings) § In terms of percent growth, the largest increases occurred in the MF 3p-7p daypart: (cume 16% and AQH 35%)
§ Diary market stations … § Have not seen dramatic listening growth. We see a slight bump between 2p and 7p § Have experienced a similar growth in cume listeners, but AQH growth is considerably more modest, and has been flat in the morning daypart and nearly flat in the midday. § Time spent listening in PPM markets has grown over the past year, while it has declined in diary markets. That said, TSL is greater in diary markets, as one might expect using a diary methodology. § Percent of audience that is P1 has remained fairly consistent in PPM and diary markets § Listening to classical music stations in PPM and diary markets is growing in the 65+ demo. § I would be hesitant to draw any listening conclusions in diary markets, given the vastly different AQH measures. § Unlike news, classical music is able to sustain audience throughout the day.
2 Classical PPM Stations have seen Hour-by- Hour Increases over since 2016
Classical diary sta ons’ growth is less drama c and occurs only a er 2PM; the audience in diary metro is considerably smaller audience
PPM Diary
200,000 200,000
180,000 180,000
160,000 160,000
140,000 140,000
120,000 120,000
100,000 100,000
80,000 80,000 AQH Persons AQH Persons 60,000 60,000
40,000 40,000
20,000 20,000
- - MF 6a MF 7a MF 8a MF 9a MF 6a MF 7a MF 8a MF 9a MF 1p MF 2p MF 3p MF 4p MF 5p MF 6p MF 7p MF 8p MF 9p MF 1p MF 2p MF 3p MF 4p MF 5p MF 6p MF 7p MF 8p MF 9p MF 10a MF 11a MF 10a MF 11a MF 12n MF 10p MF 11p MF 12n MF 10p MF 11p
Spring 2012 Spring 2016 Spring 2012 Spring 2016
Source: © 2017. The Nielsen company. All rights reserved. Nielsen PPM /diary data via Act 1 Systems. 26 sta ons, AQH Persons, P 12+, Spring 2012 and 2016 3 Classical PPM Mon-Sun 6a-Midnight: Monthly Changes (no comparable Diary Analysis)
160,000 5,000,000
140,000 4,500,000
120,000 4,000,000 Cume 100,000 3,500,000 Persons 80,000 3,000,000
AQH Persons 60,000 2,500,000
40,000 2,000,000
20,000 1,500,000
- 1,000,000
AQH Cume
Source: © 2017. The Nielsen company. All rights reserved. Nielsen PPM data via Act 1 Systems. 26 sta ons, AQH Persons, P 12+, Jan 2014-Dec 2016 4 Classical PPM Mon-Sun 6a-Midnight: Cume +11%; AQH +21%
Classical Diary Mon-Sun 6a-Midnight: Cume increase similar; AQH less drama c: Cume +10%; AQH +3%
PPM Diary 140,000 5,000,000 140,000 5,000,000
4,500,000 4,500,000 120,000 120,000 4,000,000 4,000,000
100,000 3,500,000 100,000 3,500,000 Cume Cume
3,000,000 3,000,000 80,000 80,000 Persons Persons 2,500,000 2,500,000 60,000 60,000 2,000,000 2,000,000 AQH Persons AQH Persons
40,000 1,500,000 40,000 1,500,000 1,000,000 1,000,000 20,000 20,000 500,000 500,000
- - - - Spring Spring Spring Spring Spring Spring Spring Spring Spring Spring 2012 2013 2014 2015 2016 2012 2013 2014 2015 2016
AQH Cume AQH Cume
Source: © 2017. The Nielsen company. All rights reserved. Nielsen PPM/diary data via Act 1 Systems. 26 sta ons, AQH Persons, P 12+, Spring 2012 -2016 5 Classical PPM Mon-Fri 6a-10a: Cume +11%; AQH +15%
Classical Diary Mon-Fri 6a-10a. Cume increase similar; AQH less drama c. Cume +8%; AQH 0%
PPM Diary
160,000 2,000,000 160,000 2,000,000
1,800,000 1,800,000 140,000 140,000 1,600,000 1,600,000 120,000 120,000 1,400,000 1,400,000 Cume Cume 100,000 100,000 1,200,000 1,200,000 Persons Persons 80,000 1,000,000 80,000 1,000,000
800,000 800,000 AQH Persons 60,000 AQH Persons 60,000 600,000 600,000 40,000 40,000 400,000 400,000 20,000 20,000 200,000 200,000
- - - - Spring Spring Spring Spring Spring Spring Spring Spring Spring Spring 2012 2013 2014 2015 2016 2012 2013 2014 2015 2016
AQH Cume AQH Cume
Source: © 2017. The Nielsen company. All rights reserved. Nielsen PPM data via Act 1 Systems. 26 sta ons, AQH Persons, P 12+, Spring 2012 -2016 6 Classical PPM Mon-Fri 10a-3p: Cume +11%; AQH +16%
Classical Diary Mon-Fri 10a-3p. Cume increase similar; AQH less drama c. Cume +10%; AQH +1% PPM Diary 180,000 2,500,000 180,000 2,500,000
160,000 160,000
2,000,000 2,000,000 140,000 140,000
120,000 120,000 Cume Cume 1,500,000 1,500,000 100,000 100,000 Persons Persons
80,000 80,000
AQH Persons 1,000,000 AQH Persons 1,000,000 60,000 60,000
40,000 40,000 500,000 500,000
20,000 20,000
- - - - Spring Spring Spring Spring Spring Spring Spring Spring Spring Spring 2012 2013 2014 2015 2016 2012 2013 2014 2015 2016
AQH Cume AQH Cume
Source: © 2017. The Nielsen company. All rights reserved. Nielsen PPM /diary data via Act 1 Systems. 26 sta ons, AQH Persons, P 12+, Spring 2012 -2016 7 Classical PPM Mon-Fri 3p-7p: Cume +16%; AQH +35%
Classical Diary Mon-Fri 3p-7p. Cume increase similar; AQH less drama c. Cume +13%; AQH +6% PPM Diary
180,000 2,500,000 180,000 2,500,000
160,000 160,000
2,000,000 2,000,000 140,000 140,000
120,000 120,000 Cume Cume 1,500,000 1,500,000 100,000 100,000 Persons Persons
80,000 80,000 1,000,000 1,000,000 AQH Persons AQH Persons 60,000 60,000
40,000 40,000 500,000 500,000
20,000 20,000
- - - - Spring Spring Spring Spring Spring Spring Spring Spring Spring Spring 2012 2013 2014 2015 2016 2012 2013 2014 2015 2016
AQH Cume AQH Cume
Source: © 2017. The Nielsen company. All rights reserved. Nielsen PPM data via Act 1 Systems. 26 sta ons, AQH Persons, P 12+, Spring 2012 -2016 8 Classical PPM Mon-Fri 7p-12m: Cume +10%; AQH +19%
Classical Diary Mon-Fri 7p-12m. Cume increase similar; AQH less drama c .Cume +6%; AQH +2% PPM Diary
80,000 1,600,000 80,000 1,600,000
70,000 1,400,000 70,000 1,400,000
60,000 1,200,000 60,000 1,200,000 Cume 50,000 1,000,000 50,000 1,000,000 Cume Persons Persons 40,000 800,000 40,000 800,000 AQH Persons 30,000 600,000 AQH Persons 30,000 600,000
20,000 400,000 20,000 400,000
10,000 200,000 10,000 200,000
- - - - Spring Spring Spring Spring Spring Spring Spring Spring Spring Spring 2012 2013 2014 2015 2016 2012 2013 2014 2015 2016
AQH Cume AQH Cume
Source: © 2017. The Nielsen company. All rights reserved. Nielsen PPM data via Act 1 Systems. 26 sta ons, AQH Persons, P 12+, Spring 2012 -2016 9 Classical TSL in PPM markets has increased in the past year
Classical TSL in Diary markets has decreased but listening me is longer than in PPM markets, as would be expected in light of diary methodology. PPM Diary 9:45 9:45 9:15 9:15 8:30 8:45 8:00 8:00 7:15 7:30 6:45 6:45 6:15 6:30 6:30
3:15 3:15 3:15 3:15 3:30
Spring 2012 Spring 2013 Spring 2014 Spring 2015 Spring 2016 Spring 2012 Spring 2013 Spring 2014 Spring 2015 Spring 2016
TSL P1 TSL Overall TSL P1 TSL Overall
Source: © 2017. The Nielsen company. All rights reserved. Nielsen PPM/Diary data via Act 1 Systems. 26 sta ons, AQH Persons, P 12+, Spring 2016 10 Classical PPM and Diary: Percent P1 Audience fairly stable
PPM Diary 40% 40% 38% 38% 38% 28% 27% 28% 26% 26%
Spring 2012 Spring 2013 Spring 2014 Spring 2015 Spring 2016 Spring 2012 Spring 2013 Spring 2014 Spring 2015 Spring 2016 Source: © 2017. The Nielsen company. All rights reserved. Nielsen PPM data via Act 1 Systems. 26 sta ons, AQH Persons, P 12+, Spring 2016 11 Listeners to Classical PPM and Diary stations, growing among 65+
PPM Diary
57% 55% 52% 49%
20% 20% 19% 15% 12% AQH Persons Percent AQH Persons Percent 11% 11% 9% 9% 6% 7% 8% 6% 5% 6% 5% 2% 2% 3% 3% 4% 0% 1% 2%
T12-17 P18-24 P25-34 P35-44 P45-54 P55-64 P65+ T12-17 P18-24 P25-34 P35-44 P45-54 P55-64 P65+ Spring 2012 Spring 2016 Spring 2012 Spring 2016
Source: © 2017. The Nielsen company. All rights reserved. Nielsen PPM/diary data via Act 1 Systems. 26 sta ons, AQH Persons, P 12+, Spring 2012 and 2016 12 Stations in the study
The sample PPM Sta ons City State Associated diary sta ons includes 26 KBAQ Phoenix AZ “flagship” KBYU Salt Lake City UT stations in KCNV Las Vegas NV metered KDFC San Francisco CA KOSC, KXSC markets (PPM) which KING Sea le WA are analyzed KMFA Aus n TX separately. KPAC San Antonio TX KQAC Portland OR KQHR, KQOC There are 48 KSJN St Paul MN KRSU, KCRB, KBPR, KSJR, WSCD, KCMF, WMLS, WGRH, KCCM, KLSE, stations in KGAC, KQMN, WIRR, KRSW, KRSD, KLCD, KWRV diary KUSC Los Angeles CA KDB, KDSC, KESC, KPSC markets KVOD Denver CO KVOV, KPRU, KCFP associated KXPR Sacramento CA KXJS, KXSR with these WBJC Bal more MD PPM “flagships.” WCLV Cleveland OH These WCPE Raleigh NC WZPE,WBUX, WURI stations are WCRB Boston MA analyzed WDAV Charlo e NC together with WETA Washington DC WGMS other diary WFCL Nashville TN market WGUC Cincinna OH stations on WHRO Norfolk VA WHRF, WHRJ the following WOSA Columbus OH WOSB, WOSE, WOSP,WOSV page. WQED Pi sburgh PA WQEJ WQXR New York NY WQXW WRCJ Detroit MI WRTI Philadelphia PA WRTX, WRTQ, WRTJ, WRTL, WJAZ, WRTY 13 Stations in the study
There are 31 Diary Sta ons City State Associated diary sta ons “flagship KBSU Boise ID KBSM stations” in KCME Colorado Springs CO KMPZ diary KLRE Li le Rock AR markets, with KSUI Iowa City IA KHKE, KICJ, KICW, KICP, KICG, KICL an additional KUAT Tucson AZ 34 associated KUCO Oklahoma City OK KBCW, KCSC stations, also KUWY Laramie WY KZUW in diary KVNO Omaha NE markets. KWAX Eugene OR KWVZ, KWRX KWTU Tulsa OK These 65 WAUS Berrien Springs MI stations, WBNI Fort Wayne IN together with WCNH Concord NH the 48 WCNY Syracuse NY WJNY, WUNY WDPR Dayton OH WDPG stations WEMC Harrisonburg VA associated WFSQ Tallahassee FL WFSL with PPM WFYB Portland ME “flagships” on WIAA Interlochen MI WIAB, WICV the previous WIPR San Juan PR page, are the WKYL Richmond KY diary market WMHT Albany NY WRHV sample. WMNR Monroe CT WGRS, WGSK, WRXC WNED Buffalo NY WNJA WNIU Rockford IL WOXR Burlington VT WVTI, WVNK, WOXM, WVXM, WNCH, WVXR, WVTQ WSMC Cha anooga TN WSMR Sarasota FL WUOL Louisville KY WWFM West Windsor NJ WWCJ, WWNJ, WWPJ WXXI Rochester NY 14