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The Myth of Targeting Small, But Loyal Niche Audiences

Double-Jeopardy Effects In Digital-Media Consumption

Harsh Taneja
DOI: 10.2501/JAR-2019-037 Published 1 September 2020
Harsh Taneja
University of Illinois at Urbana–Champaign,
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  • For correspondence: harsh.taneja@gmail.com
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    Figure 1

    Percentage Reach of Top 2,000 Domains in the United States

Tables

  • Figures
  • Table 1

    Correlation of U.S. Total Unique Visitors versus Average Pages Viewed

    StatisticOverallHeadTailLifestyleSportsNews
    Average.2667.5050 .0481 .0345.2856.1173
    SD.024.148 .158 .192.239.164
    Min.238.142  −.013  −.052−.016.043
    Max.309.5948 .551 .644.903.637
    n2,0003501,65015046272
  • Table 2

    Correlation of U.S. Total Unique Visitors versus Average Time Spent

    StatisticOverallHeadTailLifestyleSportsNews
    Average.3213.5478 .0155 .0080.2509.1468
    SD.016.034 .011 .023.129.051
    Min.302.472  −.0003  −.019.074.078
    Max.360.598 .037 .052.409.2219
    n2,0003501,65015046272
    • Note: Correlations are significant at p < .01.

  • Table 3

    Correlation of Total Unique Visitors versus Average Visits per Visitor

    StatisticOverallHeadTailLifestyleSportsNews
    Average.3716**.62415**.1234** .0008**.1871**.1173**
    SD.014.013.225 .035.051.052
    Min.344.603.002  −.040.0688.035
    Max.4077.644.605 .071.2339.232
    n2,0003501,65015046272
    • ↵** p < .01.

  • Table 4

    Regression Models to Explain Double Jeopardy in Long Tail with Log Average per Viewer as the Dependent Variable

    StatisticModel 1Model 2Model 3Model 4
    βTβTβTβT
    Unique (log)  .191**24.89  .203**  26.65  .205**  26.85  .033** 5.85
    News−.198**−24.05−.199**−24.10−.227**−37.28
    Lifestyle−.128−12.02−.128**−12.02−.089**−11.33
    Sports  .058 3.14  .057 3.10−.131**  −9.48
    Months  †  † †   †
    Visits (root)  .504**140.72
    Control
    Intercept0.315**12.210.310**  12.170.301**  10.960.063**  3.23
    Adjusted R2  .025  .052  .053  .482
    • Note: N = 24,000. The dependent variable is the logarithm of average total pages viewed in millions.

    • ↵† After adding monthly data as an independent variable, the author found that there were no significant effects on beta values of the independent variables and controls.

    • ↵** p < .01.

  • Table 5

    Regression Models to Explain Double Jeopardy in Long Tail with Log Average Time Spent as the Dependent Variable

    StatisticModel 1Model 2Model 3Model 4
    βTβTβTβT
    Unique (log)  .262**33.07  .264**  33.27  .266**  33.49  .083**  14.23
    News−.084**  −9.82−.084**  −9.87−.115**−18.60
    Lifestyle−.125**−11.28−.125**−11.28−.084**−10.43
    Sports  .167** 8.61  .166** 8.57−.035**  −2.47
    Months  †   †  †   †
    Visits (root)  .536**147.14
    Control
    Intercept−.052*−1.98−.040 −1.51−.058−2.05−.309*−14.83
    Adjusted R2  .043  .055  .056  .503
    • Note. N = 24,000. The dependent variable is the logarithm of average total minutes in millions.

    • ↵† After adding monthly data as an independent variable, the author found that there were no significant effects on beta values.

    • *p < .05. **p < .01.

  • Table 6

    Effect Sizes Corresponding to Models in Table 5

    ModelUnique (Log)NewsLifestyleSportsVisits (Root)Month
    30.2050.6320.7441.140n/a†
    40.0330.5920.8140.7292.191†
    • Note: † After adding monthly data as an independent variable, the author found that there were no significant effects on beta values.

  • Table 7

    Effect Sizes Corresponding to Models in Table 6

    ModelUnique (Log)NewsLifestyleSportsVisits (Root)Month
    31.8450.8240.7490.7491.465†
    41.2100.7670.8240.9222.435†
    • Note: † After adding monthly data as an independent variable, the author found that there were no significant effects on beta values.

  • Table 8

    Users and Usage of Specific Sites

    WebsiteGenre% ReachAverage MinutesAverage VisitsAverage Views
    FacebookSocial media8011322226
    YahooPortal63303  3132
    CNNNews4331  511
    New York TimesNews31  4  213
    ESPNSports2212  328
    Major League BaseballSports13  5  217
    SlateNews  6  4  2  3
    NBASports  4  6  2  7
    Breitbart NewsNews  2  7  218
    FIFASports  218  2  9
    PGA TourSports  1  4  210
    Mother JonesNews  1  3  4  3
    RealClearPoliticsNews  1  3  213
    BaiduSearch engine  0.941  627
    UOLPortal  0.373  347
    Mail.ruPortal  0.7371715
    HotstarPortal  0.2112  368
    Average–15.945.6  4.838.1
    • Source: comScore Media Metrix U.S., multiplatform, July 2018.

  • Table 9

    Duplication of Viewing

    WebsiteReach (%)1234567891011121314
      1. Yahoo63.047363117  7  3  2  2  2  2  2  0  0
      2. CNN*42.171433318  9  4  2  2  2  2  2  0  0
      3. The New York Times29.97561352112  5  3  2  3  3  3  1  1
      4. ESPN26.47353403210  5  4  3  4  3  3  1  1
      5. Major League Baseball14.77453435811  6  5  4  6  4  4  1  1
      6. Slate  5.77969644827  8  7  2  5  7  5  2  2
      7. Breitbart News  2.3816763544120  8  4  9  812  6  3
      8. FiveThirtyEight  1.579626473462713101010  8  1  4
      9. FIFA  1.56349385436  8  610  4  3  3  1  4
    10. PGA Tour  1.57969557263211410  5  7  7  3  4
    11. Mother Jones  1.48071715339301311  4  814  3  5
    12. RealClearPolitics  1.28071666145252310  3  916  4  5
    13. Infowars  0.373605869603351  8  618121914
    14. U.S. Tennis Association  0.381747569604228222520292215
    Average13.776625555392014  8  5  8  8  8  3  3
    • Note: Columns 1–14 represent the horizontal (row) percentage—that is, the percentage of visitors who visited a website (in rows) who also visited the corresponding website in the column. The bottom row is the average of each column.

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Journal of Advertising Research: 60 (3)
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The Myth of Targeting Small, But Loyal Niche Audiences
Harsh Taneja
Journal of Advertising Research Sep 2020, 60 (3) 239-250; DOI: 10.2501/JAR-2019-037

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The Myth of Targeting Small, But Loyal Niche Audiences
Harsh Taneja
Journal of Advertising Research Sep 2020, 60 (3) 239-250; DOI: 10.2501/JAR-2019-037
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