Matrix of the Metrics: Using Data to Project Hit Singles

Special thanks to: Music Decision Survey 2017

Top factors by PDs/MDs for adding a single “Very likely” OR “somewhat likely” influences

1. Gut feeling 97% intangible 2. Artist stature/reputation 90% intangible 3. Playlist fit (tempo, sound) 88% intangible 4. Sales data 82% research 5. Prior single’s success/lack of 80% airplay

Country Aircheck/Stone Door Media Lab Music Decision Survey, Nov-Dec. 2017 Music Decision Survey 2017

Top factors by PDs/MDs for adding a single “Very likely” OR “somewhat likely” influences

6. New: Local streaming data 76% research 7. Local callout 70% research 8. Word-of-mouth from PDs 70% intangible 9. New: Corporate mandate 69%* internal 10. Artist free show for station 69% marketing

*among stations that have them Music Decision Survey 2017

Top Gainers: Year-to-Year Factors on New Adds “Very likely” OR “somewhat likely” influences Rank change Pct. change (27-24) Most Added data/ranking +17% (20-37%) (12-11) National airplay chart growth +15% (54-69%) (3-3) Playlist fit (tempo, sound, etc.) +13% (75-88%) (15-13) National airplay chart position +12% (49-61%) (21-20) Shazam data +10% (32-42%) Music Decision Survey 2017

Top Decliners: Year-to-Year Factors on New Adds “Very likely” OR “somewhat likely” influences Rank change Pct. Change (7-17) Local concert appearance -19% (70-51%) (23-33) Social media data -11% (32-21%) (16-23) National callout -9% (48-39%) (1-2) Artist stature/reputation -6% (96-90%) (33-40) Music video -6% (7-1%) Music Decision Survey 2017

Top “Very likely” Factors on New Adds (excluding “somewhat likely” responses) 1 Corporate mandate 59% internal 2 Local callout 58% research

3 Gut feeling 48% intangible 4 Playlist fit (tempo, sound, etc.) 46% intangible 5 Artist stature/reputation 41% intangible Music Decision Survey 2017

Top factors by PDs/MDs for spin increases “Very likely” OR “somewhat likely” influences

1. Local callout 87% research 2. Gut feeling 83% intangible 3. Playlist fit (tempo, sound) 82% intangible 4. Sales data 82% research 5. Artist stature/reputation 70% intangible Music Decision Survey 2017

Top factors by PDs/MDs for spin increases “Very likely” OR “somewhat likely” influences 6. New: Local streaming data 69% research 7. Artist free show for station 63% marketing 8. Prior single’s success/lack of 63% airplay 9. Local concert appearance 60% marketing 10. National airplay chart growth 59% airplay 11. Corporate mandate 59% internal

*among stations that have them Music Decision Survey 2017

Top Gainers: Year-to-Year Factors on Spin Increases “Very likely” OR “somewhat likely” influences Rank change Pct. change (12-8) Prior single’s success/lack of +13% (50-63%) (35-30) Most Added data/ranking +13% (9-22%) (6-4) Sales data +10% (72-82%) (23-22) Shazam data +9% (27-36%) (22-20) Mscore data +7% (31-38%) Music Decision Survey 2017

Top Decliners: Year-to-Year Factors on Spin Increases “Very likely” OR “somewhat likely” influences

Rank change Pct. change (11-16) National callout -11% (53-42%) (25-34) Social media data -8% (25-17%) (7-9) Local concert appearance -6% (66-60%) (16-19) Listener requests -5% (44-39%) (5-5) Artist stature/reputation -5% (75-70%) Music Decision Survey 2017

Top “Very likely” Factors on Spin Increases (excluding “somewhat likely” responses) 1 Local callout 77% research 2 Corporate mandate 49% internal

3 Playlist fit (tempo, sound, etc.) 42% intangible 4 Gut feeling 36% intangible 5 Local streaming data 29% research Matrix of the Metrics

1 Big streams per spin in second airplay chart week 2 Big Shazams per Spin in second airplay chart week 3 Pandora ranker: Usually ahead of radio on projecting Top 10s 4 Most Added: Top 3; Big 1st Week, Multiple Top 10 Weeks 5 National Airplay Chart Growth: Airborne (60%) 6 National Airplay Chart Position: High Debut; Airborne Debut 7 Specific Stations: Fast to Familiarity, Short Test, Early, Selective 1

Early streams-per-spin activity is correlated to radio airplay chart outcomes. 1

Streaming data is gaining more attention from PDs and MDs. PDs/MDs view general 1 streaming data as influential … for New Adds (rank) for Spin Increases (rank) Local streaming data 76% (6) 69% (6) Streaming data (overall) 61% (14) 52% (15) Consumption per spin 59% (15) 58% (12) National streaming data 44% (19) 37% (23) ------Avg. influence of all 40 factors 44% 41% … but specific streaming services? Not so much. for New Adds for Spin Increases Avg. influence of all factors 44% 41% ------Spotify 27% 25% Apple 22% 19% YouTube 21% 19% Pandora 14% 15% Streaming of new Country 1 singles is rising rapidly.

1,200,000 1,027,325 1,000,000

800,000

600,000 495,641 400,000 283,334

200,000

0 Aug-Dec 2015 Jan-Dec 2016 Jan-Dec 2017 The top 10 Country BDS singles average 1 almost 3 million streams per week.

Country streams by Nielsen Music/BDS chart position, Aug. 7-Dec. 18, 2017 3,500,000 2,996,960 3,000,000

2,500,000

2,000,000 1,842,300

1,500,000 1,211,000 866,100 1,000,000 642,800 500,000 366,834

0 rank 1-10 11-20. 21-30. 31-40. 41-50. 51-75. 2nd chart week streams per spin is 1 correlated to airplay chart outcomes

Nielsen Music/BDS Country streams per Country Aircheck/Mediabase chart week 2 spins; 206 singles; Aug. 10, 2015-Dec. 18, 2017.

900 nd 800 802 streams per spin in 2 chart week

700 600 515 500 444 431 400

300

200

100

0 eventual #1 peak 2-20 peak 21-30 peak 31-50 Early streams per spin also 1 indicate the speed to No. 1

Nielsen Music/BDS Country streams per Country Aircheck/Mediabase chart week 2; 84 No. 1 singles; Aug. 10, 2015-Jan. 8, 2018 Weeks to No. 1 35.0

30.0 29.0 23.7 25.0 21.2 21.9 20.0

15.0

10.0

5.0

0.0 800+ streams/spin 700+ 200-699 0-199 High early “streams per spin” 1 indicate predictive potential Streams per spin (2nd chart week) Average peak Pct. reaching #1 1,400+ 5.5 82% 601+ 12.8 54% 301-600 15.0 48% 0-300 23.5 23%

All singles 18.1 40%

*Country singles, Nielsen Music/BDS streams, Mediabase spins 8/10/15-1/8/18 2

Shazam data ranked No. 20 in influence on new adds.

But Shazams per spin data are correlated to chart outcomes. Shazams per spin 2 in 2nd chart week

Median Shazams per spin 5.54

Avg. percentage of charting singles reaching #1 40.0%

Avg. Weeks to No. 1 (all #1s) 23.8

Country Aircheck/Mediabase Aug. 3, 2015-Jan. 8, 2018 (201 singles) 10+ Shazams per spin 2 in 2nd chart week Average peak: 5.4

No. 1s 84%

Country Aircheck/Mediabase Aug. 3, 2015-Jan. 29, 2018 (25 qualifying singles) So do Shazams per spin 2 in the 2nd chart week

Shazams per spin Average Pct. Reaching Chart Weeks (2nd chart week) Chart peak No. 1 to No. 1 10+ 5.4 84% 20.3 wks 9+ 6.8 76% 21.1 wks 7.0-8.99 9.8 61% 24.3 wks 5.50-6.99 15.8 53% 24.6 wks (median 5.51) 18.1 40% 24.0 wks

Country Aircheck/Mediabase, Aug. 3, 2015-Jan. 29, 2018 Shazams per spin 2 in 2nd chart week

Shazams per spin Average Pct. Reaching Chart weeks (2nd chart week) Chart peak No. 1 to No. 1 4.00-5.49 17.3 25% 29.8

2.00-3.99 27.1 14% 32.3

0.00-1.99 42.8 0% ..…

Country Aircheck/Mediabase, Aug. 3, 2015-Jan. 29, 2018 Avg. Wk 2 Shazams/Spin 2 and eventual chart peak

Country Aircheck/Mediabase, Aug. 3, 2015-Jan. 8, 2018 9 8.2 Shazams per spin 8

6 5.8 5.1 4.9 5 3.9 4 3.6

0 peak at #1 peak 2-10 peak 11-20 peak 21-39 peak 40-50 peak 46-50 Higher Shazams/spin in week 2 2 indicates a faster pace to No. 1

Country Aircheck/Mediabase, Aug. 3, 2015-Jan. 8, 2018 Weeks to No. 1 based on Shazams per spin in chart week 2 35 29.9 wks 30 23.8 wks 24.8 wks 25 19.7 wks 20

0 10.0 or more (21) 7.0-9.99 (27) 5.0-6.99 (24) 0.0-4.99 (12) 2 Newer #1 artists with strong early Shazams/spin 2nd wk Shazams per MB Spin Russell Dickerson/Yours 14.27 Old Dominion/No Such Thing As A Broken Heart 11.16 Garth Brooks/Ask Me How I Know 10.87 Brett Young/In Case You Didn’t Know 10.49 Luke Combs/When It Rains It Pours 10.03 LANco/Greatest Love Story 8.48 Midland/Drinkin’ Problem 7.62 Kane Brown f/Lauren Alaina/What Ifs 7.19 Carly Pearce/Every Little Thing 7.13 Dylan Scott/My Girl 6.48 3 Pandora scored near last (36th of 40) factors influencing new adds and increasing spins.

But … let’s look more closely. Pandora often projects 3 #1 Country hits early Weeks Pandora ahead to Top 10 Maren Morris/I Could Use A Love Song 15 Dustin Lynch/Small Town Boy 13 Kip Moore/More Girls Like You 11 Josh Turner/Hometown Girl 11 Garth Brooks/Ask Me How I Know 10 Cole Swindell/Flatliner 9 Justin Moore/Somebody Else Will 9 Brett Eldredge/Wanna Be That Song 9 Russell Dickerson/Yours 9 Keith Urban f/Carrie Underwood/The Fighter 8 Dan + Shay/How Not To 8 Dylan Scott/My Girl 8 Brett Young/Sleep Without You 8 Kane Brown f/Lauren Alaina/What Ifs 7 Aug. 8, 2016-Jan. 16, 2018: Pandora Top Spins chart, Country Aircheck/Mediabase Pandora projects Top 10 hits before Country radio 3 most of the time.

Top 10 Pandora first Pct. when Avg. Pandora radio hits to Top 10 Pandora is first lead over radio

72 58 80.6% 5.4 weeks

Aug. 8, 2016-Dec. 18, 2017: Pandora Top Spins chart, Country Aircheck/Mediabase 4 “Most Added” scored 24th out of 40 factors influencing PDs on new adds.

But it was the #1 gainer, up from 20-37% year-to-year. No. 1 Most Added is a 4 reliable No. 1 hit indicator.

Reached No. 1* 62%

All other top 10 Most Added singles** 17%

*Country Aircheck/Mediabase, Aug. 2006-Jan. 8, 2018 **Country Aircheck/Mediabase, Aug. 3, 2015-Jan. 8, 2018 No. 1 Most Added is a 4 reliable Top 15 hit indicator.

Reached Top 15 80%

All non-#1 Most Added Singles Reached Top 15 41%

Country Aircheck/Mediabase, Aug. 3, 2015-Jan. 8, 2018 Outcomes of 4 Most Added singles

Best Most Added rank #1s Avg. Peak No. 1* 62% 7.2 No. 2** 29% 15.3 No. 3*** 26% 21.1 No. 4*** 7% 32.8 No. 5+*** 2% 41.1 *Country Aircheck/Mediabase, Aug. 21, 2006-Dec. 18, 2017 **Country Aircheck/Mediabase, Jan. 3, 2012-Dec. 18, 2017 ***Country Aircheck/Mediabase, Aug. 3, 2015-Dec. 18, 2017 A huge Most Added Week 4 often leads to No. 1 single.

Pct. Reaching #1 Avg. Peak 60%+ of reporters together 74% 4.6

45-59% of reporters together 64% 5.5

Any No. 1 Most Added 62% 7.2 Country Aircheck/Mediabase: 98 singles from Aug. 28, 2006-Dec. 18, 2017; 60% based on 43 singles; 45-59%+ based on 55 singles. Top 10 Most Added for 4 5 or more consecutive weeks suggests a Top 5 hit. Pct. That reach No. 1 68% Average peak 5.1

Any No. 1 Most Added single 62%

Average peak 7.2 Country Aircheck/Mediabase, 59 singles; April 20, 2015-Dec. 18, 2017 4 No. 1 and No. 2 Most-Added

Country Aircheck/Mediabase, singles represent 85% of Aug. 3, 2015-Jan. 8, 2018 recent 107 No. 1s

70 59 60 50 40 32 30 20 12 10 3 1 0 No. 1 Most No. 2 Most No. 3 Most No. 4 Most No. 5+ Most Added (55.1%) Added (29.9%) Added (11.2%) Added (2.8%) Added (0.9%) 5 “National Airplay Chart Growth”

No. 11 influence on New Adds 68.5%

No. 2 gainer on New Adds +14.5%

No. 10 influence on spin increases 58.7% Chart Growth: Achieving 5 Airborne Status (growth to 60% of reporters)

Airborne Average Average peak 11.9 18.1

Reaching No. 1 49% 40%

Country Aircheck/Mediabase, August 22, 2015-January 8, 2018 Airborne in the 5 First Chart Week (immediate support from 60% of reporters) all charting singles Airborne Wk 1 Reaching No. 1 40% 65%

Reaching Top 10 50% 86%

Average Peak 18.1 4.0

Country Aircheck/Mediabase, August 22, 2015-January 8, 2018 5 Chart Growth: Speed to Airborne Shows Correlations to Outcome

Airborne Status Achieved #1s Avg. Peak Chart week 1-3 63% 6.0

Chart week 4-6 33% 16.8

Chart week 7+ 26% 22.4

Country Aircheck/Mediabase, Aug. 3, 2015-Jan. 8, 2018 6 “National Airplay Chart Position” scored 13th out of 40 factors influencing PDs on new adds.

But it was the #2 gainer, up from 49-61% year-to-year. 6 Chart Position: Strong Debut Shows Correlations to Outcome

Airborne Status Achieved #1s Avg. Peak Debut Top 45 67% 7.6

Debut 46-48 31% 20.9

Debut 49-50 21% 28.5

Country Aircheck/Mediabase, Aug. 3, 2015-Jan. 8, 2018 7 “Airplay at Specific Stations” scored 18th out of 40 factors influencing new adds (49%) and 19th on spin increases (40%). 7 Metrics among stations worth watching:

• Low turnover = Speed to familiarity • Short test periods before committing • Selectivity: Aligned with national hits • Early to add new music 7

Establishing Familiarity with a New Song: 1st exposure: Curiosity 2nd exposure: Recognition 3rd exposure: Decision (like or not) Dayparting Makes Big Difference 7 in Achieving Familiarity Daypart Avg. spins to familiarity 6am-7pm 76

6am-midnight 93 6am-6am 118

7pm-midnight 250 Midnight-6am (overnights) 787

CA/Mediabase/Nielsen BDS Country reporting stations: Nielsen Audio, Spring 2017, Mon-Sun, based on 12+ cume/AQHP (turnover) x 3 Stations that are Fastest to 7 Deliver Familiarity Markets 1-25 Spins to familiarity KYGO/Denver (18) 133.2

Markets 26-50 WNOE/New Orleans (49) 75.9

Markets 51-100 WYRK/Buffalo (58) 55.8

Markets 101+ WTCM/Traverse City, MI (159) 37.8 Nielsen Audio, Spring 2017, Mon-Sun, 6am-6am, basis: 12+ cume/AQHP (turnover) x 3; pop. Fall 2017 Fastest to Familiarity 7 in Markets 1-25 Spins to familiarity (3x)

1. KYGO/Denver (18) 133.2

2. WPOC/Baltimore (21) 135.3

3. KEEY/Minneapolis (15) 141.0

3. WKKT/Charlotte (24) 142.5

5. WYCD/Detroit (13) 142.8

6. KMLE/Phoenix (14) 145.8

7. WIL/St. Louis (23) 148.5

8. KPLX/Dallas-Ft. Worth (5) 152.4

9. WXTU/Philadelphia (9) 154.5

10. KMNB/Minneapolis-St. Paul (15) 158.4 Nielsen Audio, Spring 2017, Mon-Sun, 6am-6am, based on 12+ cume/AQHP (turnover) x 3; pop. Fall 2017 Fastest to Familiarity 7 in Markets 26-50 Spins to familiarity (3x)

1. WNOE/New Orleans (49) 75.9

2. KTST/Oklahoma City (50) 78.6

3. WQIK/Jacksonville (46) 90.9

3. KJKE/Oklahoma City (50) 98.4

5. WWKA/Orlando (31) 115.8

6. WQDR/Raleigh-Durham (38) 127.8

7. WCOL/Columbus, OH (36) 135.3

8. WUBE/Cincinnati (32) 136.8

9. WIRK/West Palm Beach-Boca Raton (48) 139.2

10. WGH/Norfolk (45) 139.5 Nielsen Audio, Spring 2017, Mon-Sun, 6am-6am, based on 12+ cume/AQHP (turnover) x 3; pop. Fall 2017 Fastest to Familiarity 7 in Markets 51-100 Spins to familiarity (3x)

1. WYRK/Buffalo (58) 55.8

1. KTOM/Monterey (85) 55.8

3. KTEX/McAllen, TX (56) 56.7

4. KUZZ/Bakersfield (79) 58.2

5. WBBS/Syracuse (94) 61.2

6. WWGR/Ft. Myers-Naples 57) 64.5

7. WBEE/Rochester, NY (60) 64.8

8. WIVK/Knoxville (72) 66.0

9. WKLI/Albany, NY (66) 69.0

9. KIIM/Tucson (62) 69.0 Nielsen Audio, Spring 2017, Mon-Sun, 6am-6am, based on 12+ cume/AQHP (turnover) x 3; pop. Fall 2017 Fastest to Familiarity 7 in Markets 101+ Spins to familiarity (3x)

1. WTCM/Traverse City, MI (159) 37.8

2. WQCB/Bangor, ME (219) 51.0

3. KYKR/Beaumont, TX (145) 56.4

4. WLLR/Quad Cities, IA-IL (155) 58.5

5. WBYT/South Bend, IN (184) 63.0

6. WAYZ/Hagerstown, MD-PA (167) 63.3

7. WNCY/Appleton-Oshkosh, WI (137) 63.9

7. KSUX/Sioux City, IA (259) 63.9

9. WKCN/Columbus, GA (189) 64.8

9. WXBQ/Johnson City-Kingsport-Bristol (113) 64.8 Nielsen Audio, Spring 2017, Mon-Sun, 6am-6am, based on 12+ cume/AQHP (turnover) x 3; pop. Fall 2017 Main Chart: Stations with 7 shortest “Tests” on No. 1s before 7+ spins/week Avg. weeks before playing 7+ spins/week

1. WSLC/Roanoke (119) 0.03

2. KVOO/Tulsa (65) 0.20

2. WGH/Norfolk (45) 0.20

4. WWKA/Orlando (31) 0.30

5. WCYQ/Knoxville (72) 0.33

6. KTTS/Springfield, MO (135) 0.43

7. KCYY/San Antonio (26) 0.47

7. KWEN/Tulsa (65) 0.47

7. WUSN/Chicago (3) 0.47

10. KKWF/Seattle (12) 0.50

11. WKMK/Middlesex (42) 0.53

12. KNTY/Sacramento (27) 0.60

12. WEBG/Chicago (3) 0.60

14. KKGO/Los Angeles (2) 0.70

14. WQDR/Raleigh-Durham (38) 0.70 2018 Country Aircheck/Mediabase: up to 30 No. 1s in 2017-Jan. 8, 2018; market rank in paretheses 30 BDS-monitored Activators: 7 Shortest “test period” on singles reaching No. 1 Avg. weeks before 7+ spins per week 1. WKCN/Columbus, GA 0.83 2. KKNU/Eugene, OR 0.86 3. KHAK/Cedar Rapids, IA 1.00 4. WKLI/Albany, NY 1.14 5. WBYT/South Bend, IN 1.21 6. WTCM/Traverse City, MI 1.45 7. WWFG/Salisbury, MD 1.48 8. WKML/Fayetteville, NC 1.52 9. WQXK/Youngstown, OH 1.77 10. KUAD/Ft. Collins, CO 1.86 Commence 7+ spins/week on 30 #1s; CA/MB, Nielsen BDS: 2015-2017 7 Earliest on Adding No. 1s Avg. rank behind first station(s)

1. KMNB/Minneapolis (15) 3.23

2. KSOP/Salt Lake City (29) 4.20 3. Sirius XM The Highway 4.28

4. KXLY/Spokane (93) 4.50

5. WJVC/Nassau-Suffolk (20) 4.77

6. KRST/Albuquerque (69) 4.83

6. WEBG/Chicago (3) 4.83

8. KEEY/Minneapolis (15) 4.93

9. KBEQ/Kansas City (35) 5.17

10. WWKA/Orlando (31) 5.23

11. KJKE/Oklahoma City (50) 5.27

12. KUPL/Portland (22) 5.33

13. WOGK/Gainesville (87) 5.53

14. KRTY/San Jose (37) 5.73

15. WGH/Norfolk (45) 6.10

15. WDSY/Pittsburgh (28) 6.10 7+ spins per week, 2018 Country Aircheck/Mediabase: up to 30 No. 1s in 2017-Jan. 8, 2018 Selectivity: Fewest Non-hits 7 played 10+ spins per week Of 36 singles that did not reach Top 35 in 2015-2017

1. WKCN/Columbus, GA (189) 0.0%

1. WQIK/Jacksonville (46) 0.0%

3. WXTU/Philadelphia (9) 3.0%

3. WKSF/Asheville, NC (157) 3.0%

3. WMSI/Jackson, MS (127) 3.0%

3. WMIL/Milwaukee (41) 3.0%

7. KILT/Houston (6) 6.0%

7. KFDI/Wichita (105) 6.0%

7. WUBE/Cincinnati (32) 6.0%

10. KSD/St. Louis (23) 6.0%

10. WFLS/Fredericksburg, VA (143) 6.0%

10. WBBS/Syracuse (94) 6.0% 2015-2017 Country Aircheck/Mediabase: 10+ spins per week for 1 or more weeks Main chart: Early on No. 1s and 7 Selective on New Singles Combo Rank Selectivity Rank Early Add Rank

1. WBUL/Lexington, KY (103) 22.5 16 29

2. WKMK/Monmouth-Ocean (54) 28.5 33 24

3. KSSN/Little Rock (86) 32.0 16 48

4. KTTS/Springfield, MO (135) 32.5 16 49

5. WDSY/Pittsburgh (28) 35.5 56 15

6. KILT/Houston (6) 36.0 5 67

6. WHKO/Dayton (64) 36.0 2 70

8. WKSJ/Mobile (100) 37.0 46 28

9. KUZZ/Bakersfield (79) 37.5 16 59

10. WYNK/Baton Rouge (75) 38.5 33 44

10. WAMZ/Louisville (55) 38.5 56 21 Commence 10+ spins/week on 36 non-national hits (>35 peak); 7+ spins/week on 30 #1s; CA/MB, Nielsen BDS: 2015-2017 30 BDS-monitored Activators: Early on #1s 7 and Selective on New Singles Combo Rank Selectivity Rank Early Add Rank

1. WOKO/Burlington, VT (148) 5.5 8 3

2. WBYT/South Bend, IN (184) 6.0 4 8

3. KIXQ/Joplin, MO (231) 7.5 8 7

4. WIBW/Topeka, KS (204) 9.0 1 17

4. WKSF/Asheville, NC (157) 9.0 4 14

6. WFRE/Frederick, MD (191) 10.0 18 2

7. WDEN/Macon, GA (130) 11.0 1 21

7. KKNU/Eugene, OR (147) 11.0 18 4

9. WQXK/Youngstown, OH (131) 12.0 8 16

10. WMSI/Jackson, MS (127) 13.5 4 23

10. WLWI/Montgomery, AL (156) 13.5 8 19

10. WACO/Waco, TX (193) 13.5 18 9 Commence 10+ spins/week on 36 non-national hits (>35 peak); 7+ spins/week on 30 #1s; CA/MB, Nielsen BDS: 2015-2017 Strong Scenarios for No. 1 Outcomes Pct. #1s Avg. Peak 10+ Shazams per spin (2nd chart wk) 84% 5.6 1,400 streams per spin (2nd chart wk) 82% 5.5 9+ Shazams per spin (2nd chart wk) 78% 6.9 60+% of reporters adding together 74% 4.6 5+ consecutive wks Top 10 Most Added 68% 5.1 Debut at 45 or better on CA/Mediabase 67% 7.6 Simultaneous debut and Airborne Status 65% 4.0 No. 1 Most Added 2x 65% 2.9 All charting singles 40% 18.1 Strong Scenarios for No. 1 Outcomes Pct. #1s Avg. Peak 45-59% of reporters adding together 64% 5.5 Airborne (60% support) by 2nd chart wk 63% 4.8 7.0-8.99 Shazams/spin (2nd chart wk) 63% 8.4 No. 1 Most Added 1x 62% 7.2 No. 1 Most Added 3x 61% 1.6 Airborne by 3rd chart week 57% 6.0 601+ streams per spin (2nd chart wk) 54% 2.8 Airborne status (60% of reporters) 49% 11.9 All charting singles 40% 18.1 Strong Matrix Projecting Radio Hits

“Body Like A…” “Better Man” “Yours” “Craving You”

Most Added Rank 1 1 2 1 Big Add Week 106 60 39 97 Chart Debut 29 49 50 38 Consec. Wks Most Added 3 7 1 3 Debut to Airborne (wks) 1 3 2 1 Shazams/Spin (5.54 avg.) 19.28 17.35 14.27 11.85 Streams/Spin (807 avg.) 2,311 1,062 1,311 1,998 Pandora peak 1 2 4 2 Strong Shazam/Stream Data Projecting Radio Hits Luke Combs Kane Brown Brett Young Dustin Lynch Hurricane What Ifs In Case You Didn’t… Small Town Boy (River House/Columbia) (RCA) (BMLGR) (Broken Bow)

Average for #1s: Shazams/Spin (7.37) 5.93 7.19 10.49 11.70 Streams/Spin (807) 1,998 3,138 1,378 2,100 Most Added Rank (1.7) 6 2-tie 3 3 Airborne (3.2 wks) 6 10 3 5 Shazams/Streams based on second chart week, August 2015-Jan. 8, 2018 Examples of Modest Outcomes Despite Strong Data + Supportive Radio

Artist A Artist B Artist C Artist D

Most Added Rank 1 1 2 2 Chart weeks to Airborne 4 1 2 3 Shazams per Spin 6.02 9.43 9.70 12.64 Streams per Spin 1,260 1,229 2,053 1,157 Peak 20 18 15 33 When Radio Proved Early Data Wrong

Artist A Artist B Artist C (Average for #1s:) Most Added Rank (1.7) 1 2 1

Airborne (3.2 wks) 1 1 1

Shazams/Spin (7.37) 3.31 2.39 5.21

Streams/Spin (807) 146 400 395

Shazams/Streams based on second chart week, August 2015-Jan. 8, 2018 Matrix of the Metrics Summary

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