Australia: SVOD Study - An Examination of Usage, Paying Subscribers, Content Supply & Demand - Media Partners Asia

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Australia: SVOD Study - An Examination of Usage, Paying Subscribers, Content Supply & Demand - Media Partners Asia
Australia: SVOD Study
An Examination of Usage, Paying
Subscribers, Content Supply & Demand
July 2019

                               Private & Confidential
Australia: SVOD Study - An Examination of Usage, Paying Subscribers, Content Supply & Demand - Media Partners Asia
CONTENT
§ Overview      3

§ Methodology   7

§ Report ToC    12
Australia: SVOD Study - An Examination of Usage, Paying Subscribers, Content Supply & Demand - Media Partners Asia
OVERVIEW

           3
Australia: SVOD Study - An Examination of Usage, Paying Subscribers, Content Supply & Demand - Media Partners Asia
INTRODUCTION & STUDY OBJECTIVES

This first edition of SVOD Australia study provides the most up-to-date information
on the penetration, paid accounts, and use profiles of the major players in
Australia's vibrant and dynamic SVOD ecosystem.

The study investigates consumer adoption of entertainment and sports services,
with a focus on the supply and demand of content across all major streaming
platforms, uncovering the importance of access to specific types of programming.
Using primary research with robust samples, supplemented by exhaustive desk
research, the findings include an executive summary and comprehensive report with
analysis and charts.

AMPD Research is the consumer insights division of Media Partners Asia. AMPD
Research offers clients the latest innovation in consumer insights. We specialize in
media measurement, audience growth, content development, and revenue
optimization. Our platforms and services offer unparalleled insights into the supply
and demand for video and entertainment content globally.

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Australia SVOD OVERVIEW
                     Viewers and Paid Subscriptions
               §        With 10.7 Mn. viewers & 5.3 Million paying subscribers, Netflix leads 2nd place local service, Stan with its 3.4 Million Users & 1.4 Million. paying subscribers.
               §        Foxtel Now’s year-old D2C service, has attracted 1.7 Million viewers and half a million paying subs, with Sport-specific SVOD services heavily fragmented.

                                                                                                            Viewers (Mil.)                      Paid Subscribers (Mil.)
                                                         10.7
                                 People 15+ (Millions)

                                                                  5.3

                                                                        3.4

                                                                                    1.4   1.7               1.5               1.5
                                                                                                                                          1.0    1.3
                                                                                                      0.5               0.6                                  0.6   0.8                0.7
                                                                                                                                                                               0.3                0.2   0.3         0.2    0.2         0.1

                                                           Netflix        Stan            Foxtel Now        Prime Video             NRL         Optus Sport          hayu.           AFL Live Pass      Kayo Sports        beIN Sports
                                                                                                                                                                                                                          Connect (D2C)
                   Users per
                   paying sub
                                                            2.0               2.4               3.3               2.1               2.6                1.5               3.3                2.4               1.7                3.1

Source: AMPD Research, April 2019                                                                                                                                                                                                            5
Base: All Respondents 15+ (N=2,089)
Source: AMPD Research Australia VOD Study, April 2019
SHARE OF SVOD HOUSEHOLD SPEND BY SERVICE (A$)
               §        The average monthly spend on SVOD services per household is A$35.30. Of this 14% is spent on sports SVODs (A$11.94).
               §        Netflix commands the largest share of SVOD household spending with 42% share of wallet followed by Stan and Foxtel Now in 2nd and 3rd respectively.
               §        NRL Live Pass occupies over half the sports SVOD share of household spend (54%) followed by Kayo (21%) and AFL Live Pass (14%) respectively.

A5.x. How much do you pay for your subscription to …?                                                                                                                         6
Base: N=1200
Source: AMPD Research Australia VOD Study, April 2019
METHODOLOGY

              7
METHODOLOGY - I
 Data Collection and Sampling

                Sample Distribution - Geographic                     Data Collection
                     (% & N= by State & Territory)                   § The Australia SVOD Study was conducted as an interactive online survey.
                                                                        The target population are internet users aged 15 years of age and above.
                                                                     § Respondents were sampled according to representative quotas for age,
                                                                        gender and state or territory, correspond preliminary estimated resident
                                                                        population (ERP) of Australia at 31 December 2018 provided by the
                                                                        Australian Bureau of Statistics.
                                                                     § The sample sourced was a consumer panel powered by Dynata.

                            NT: 0.5%                                 Fieldwork Period & Sample Size
                             N=10    QLD: 21.7%                      § A total sample size of 2089 respondents completed a structured survey
            WA: 10.4%                N=454                               composed of primarily closed-end questions with four open-ended
               N=218                                                     questions related to unmet needs.
                             SA: 8.2%
                                                                     § On average, respondents spent 18 minutes to complete the survey which
                              N=171      NSW: 28.2%
                                                         ACT: 2.2%       was fielded between April 6-16, 2019.
                                         N=589
                                                         N=45
                                                                     Confidence Level & Margin of Error
                                                                     § Online access panels are by definition non-probability based samples.
                                TAS: 2.3%            VIC: 26.5%         However, at 95% confidence level the predicted margin of error
                                    N=49             N=554              is 2.14%. This means, there is a 95% chance that the real value is within
                                                                        ±2.14% of the surveyed value.

Total Sample Size: N=2089

                                                                                                                                                    8
METHODOLOGY - II
Demographics and Universe Projections

               Sample Distribution - Demographic                Representative Measurement
                      (% & N= by Age and Gender)                § The survey is designed to be representative of the Australian population
                                                                   aged 15 and over and projectable at a National level only, i.e. samples
                                                                   are not designed to support regional comparisons.

     Gender      Female: 51%                       Male: 49%    Projecting to a National Universe
                                                                § The nature of online surveys and adherence to The Australian Market &
                                                                    Social Research Society (AMSRS) Code of Professional Behaviour, limits
 15-19 years          6%                              N=118         the practicable ability to interview those under the age of 15 years.
                                                                § To yield projections for total market, i.e. including users aged 0-15,
 20-34 years       27%                                N=570         AMPD Research used data collected by respondents on household
         WA: 10.4%                                                  composition & the presence of children in order to estimate the total
             N=218                                                  user-base (viewers) of individual video-on-demand (VOD) services.
 35-44 years   17%                                    N=357     § For the purpose of determining household penetration estimates, where
                                                                    the respondent is also the VOD service account holder, the projection
 45-54 years     16%                                  N=338         assumes the panellist represents the characteristic of the household in
                                                                    which they they reside.

 55 and over               34%                        N=705

                 0%         25%     50%       75%        100%

                                                                                                                                              9
METHODOLOGY - III
       Household Income Profile, Data Quality and Calibration

                Sample Distribution – Monthly Household Income                                                                     Data Quality
                                                         (A$ % )                                                                   § AMPD Research uses stringent measures to ensure data integrity and
                                                                                                                                       quality respondents, including logic & repetition tests and open-ended
                                                                                                                                       questions for screening-out bots. Additional measures include checks for
                                                                                                                                       speeders, straight-liners and non-response.
       Less than A$ 2,000                    16%                                                        N=143                      Calibration & Adjustments
                                                                                                                                   § Online surveys can generate inflated results for certain question types &
                                                                                                                                       topic areas. AMPD Research has developed a set of validated1
          A$ 2,000 – 4,999                                 35%                                          N=724
                                                                                                                                       proprietary formulae to adjust for respondent over-claim to ensure
                                                                                                                                       accuracy that includes the following areas:
        A$ 5,000 – 9,999       24%                                                                      N=504                          • Claimed usage & subscription: We adjust for overclaim by
                      WA: 10.4%                                                                                                            weighting responses based on recency of exposure, where more
                         N=218
                                                                                                                                           recent engagements are given a greater significance.
      A$ 10,000 – 14,999       8%                                                                       N=173
                                                                                                                                       • Claimed viewing duration: Respondents typically have difficulty in
                                                                                                                                           recalling time spent viewing, so we employ a method that asks the
       A$ 15,000 & above                         4%                                                       N=87                             number of movies, TV shows and sports events watched in past 7-
                                                                                                                                           days and a apply a standard minutage to each type of event.
                                                                                                                                       • Cancel/Upgrade Intent: We apply weights to responses as follows:
     Refused/Don’t know                              12%                                                N=257
                                                                                                                                           ü 1. Definitely will happen - 80%; 2. Probably will happen - 50%;
                                                                                                                                                3. Probably won’t happen - 20%; 4. Definitely won’t happen –
                                            0%              25%             50%              75%             100%                               0%;

1   The AMPD Research proprietary formulae for adjusting over-claim in online community panels has been validated by comparing observed and recalled behaviour with passive media data and survey data.
                                                                                                                                                                                                                  10
METHODOLOGY - IV
       Net Promoter Score® (NPS) Calculation and Interpretation

                                      Net Promoter Score (NPS)                                                                  Net Promoter Score2
       Q. How likely is it that you would recommend BRAND to a friend or                                                        § Net Promoter Score (NPS) is a widely used tool to gauge customer
                                     colleague?                                                                                    loyalty and as a proxy for customer satisfaction.
                                                                                                                                § The NPS is calculated on a scale of 0 - 10 in response to the question:
                                                                                                                                   “How likely is it that you would recommend to a friend or colleague?”
                                                                                                                                § Scores of 0 - 6 are considered “detractors”, 7 - 8 are “passives” and 9 -
                                                                                                                                   10 are classified as “promoters.”
                                                                                                                                § The final Net Promoter Score is calculated by subtracting the percentage
                                                                                                                                   of customers who are “Detractors” from the percentage of customers
        0          1         2       3      4                5         6          7         8          9        10
                                 WA: 10.4%                                                                                         who are “Promoters.”
                                 DETRACTORS                                       PASSIVES           PROMOTERS
                                     N=218
                                Rated 0 – 6
                                                                                 Rated 7 – 8         Rated 9 – 10
                                                                                                                                NPS® Interpretation
                                     -                                                                                          § NPS scores vary by sector, but a positive score is generally regarded as
                                                                                       -                    -
         Unhappy customers who require urgent engagement &
                                                                                 Ambivalent           Most Loyal                   “good”, a score of +50 is considered “excellent” and scores over +70
          improvements to product or pricing to mitigate churn
                                                                                       -               Customers                   are extremely rare.
                                     -
                                                                                 Satisfied for              -
           Generally dissatisfied with current product offering
                                                                                     Now                Satisfied                  • Detractors (0 - 6): Are unsatisfied by current product offering and
                                     -
                                                                                       -                    -                          at very high risk of churning.
        High potential risk of spreading negative sentiment about
            product impacting brand perception & valuation
                                                                                  At Risk of           Generate                    • Passives (7 - 8): While not included in the NPS calculation, they
                                                                                 Switching to        Positive Word-
                                     -
                                                                                 Competition           of-Mouth
                                                                                                                                       represent customers who may currently be satisfied with the current
            Imminent risk of churn unless active re-engaged                                                                            product, but are not loyal & susceptible to competitive offerings
                                                                                                                                   • Promoters (9 - 10): Loyal & most satisfied customers.
         NPS®              =             % Promoters                       −            % Detractors

2   The Net Promoter Score® (NPS) methodology was developed by management consultancy, Bain & Company. Net Promoter®, Net Promoter Score® and NPS® are registered trademarks of Bain & Company, Inc., Fred Reichheld and Satmetrix Systems, Inc.
                                                                                                                                                                                                                                                   11
REPORT ToC

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TABLE OF CONTENTS - I
INTRODUCTION                                                 CONTENT SUPPLY AND DEMAND SUMMARY
§ Background and Objectives                                  § Available Content Supply by Service
                                                             § Service Adoption & Content Demand by County of Origin
EXECUTIVE SUMMARY                                            § Genres Demand Gaps by Age Cohort

METHODOLOGY                                                  ENTERTAINMENT SVOD SERVICE SUMMARIES
§ Data Collection and Sampling                               § Share of SVOD Households & Average Time Spent per User
§ Demographics and Universe Projections
§ Household Income Profile, Data Quality and Calibration     FOXTEL NOW
§ Net Promoter Score® (NPS) Calculation and Interpretation   § Age and Gender Profile
§ Content Supply Data Collection                             § Household Composition and Subscription Profile
                                                             § Pay TV and SVOD Service Cross-Consumption
SVOD OVERVIEW                                                § Content Supply Profile
§ Viewers and Paid Subscribers by Service                    § Underserved Categories & Genres
§ Share of SVOD Household Spend by Service                   § Growth and Marketing Conversion Metrics
§ Net Promoter® Scores by Service                            § Net Subscriber Gain/Loss Volumes – Current Run Rate
§ Age and Gender Profile                                     § SWOT Analysis
§ Household Income Profile
§ Household Size and Presence of Children
§ Free Trial Conversion and Churn Indicators

                                                                                                                        13
TABLE OF CONTENTS - II
HAYU                                                    PRIME VIDEO
§ Age and Gender Profile                                § Age and Gender Profile
§ Household Composition and Subscription Profile        § Household Composition and Subscription Profile
§ Pay TV and SVOD Service Cross-Consumption             § Pay TV and SVOD Service Cross-Consumption
§ Content Supply Profile                                § Content Supply Profile
§ Underserved Categories & Genres                       § Underserved Categories & Genres
§ Growth and Marketing Conversion Metrics               § Growth and Marketing Conversion Metrics
§ Net Subscriber Gain/Loss Volumes – Current Run Rate   § Net Subscriber Gain/Loss Volumes – Current Run Rate
§ SWOT Analysis                                         § SWOT Analysis

NETFLIX                                                 STAN
§ Age and Gender Profile                                § Age and Gender Profile
§ Household Composition and Subscription Profile        § Household Composition and Subscription Profile
§ Pay TV and SVOD Service Cross-Consumption             § Pay TV and SVOD Service Cross-Consumption
§ Content Supply Profile                                § Content Supply Profile
§ Underserved Categories & Genres                       § Underserved Categories & Genres
                                                        § Growth and Marketing Conversion Metrics
§ Growth and Marketing Conversion Metrics
                                                        § Net Subscriber Gain/Loss Volumes – Current Run Rate
§ Net Subscriber Gain/Loss Volumes – Current Run Rate   § SWOT Analysis
§ SWOT Analysis

                                                                                                                14
TABLE OF CONTENTS - III
YOUTUBE PREMIUM                                    SPORTS SVOD SERVICE SUMMARIES
§ Age and Gender Profile                           § Share of SVOD Households & Average Time Spent per User
§ Household Composition and Subscription Profile
§ Pay TV and SVOD Service Cross-Consumption        AFL LIVE PASS
§ Content Supply Profile                           § Age and Gender Profile
§ Underserved Categories & Genres                  § Household Composition and Subscription Profile
                                                   § Pay TV and SVOD Service Cross-Consumption
§ SWOT Analysis
                                                   § Growth and Marketing Conversion Metrics
                                                   § Net Subscriber Gain/Loss Volumes – Current Run Rate
ENTERTAINMENT GENRE DEMAND BY COHORT               § SWOT Analysis
§ Action & Adventure
§ Anime (Japanese)                                 beIN SPORTS CONNECT
§ Comedy                                           § Age and Gender Profile
§ Documentary                                      § Household Composition and Subscription Profile
§ Drama                                            § Pay TV and SVOD Service Cross-Consumption
§ Horror                                           § Growth and Marketing Conversion Metrics
§ Reality TV                                       § Net Subscriber Gain/Loss Volumes – Current Run Rate
§ Romance                                          § SWOT Analysis
§ Sci-Fi & Fantasy
§ Thriller

                                                                                                              15
TABLE OF CONTENTS - IV
KAYO SPORTS                                             OPTUS SPORTS
§ Age and Gender Profile                                § Age and Gender Profile
§ Household Composition and Subscription Profile        § Household Composition and Subscription Profile
§ Pay TV and SVOD Service Cross-Consumption             § Pay TV and SVOD Service Cross-Consumption
§ Growth and Marketing Conversion Metrics               § Growth and Marketing Conversion Metrics
§ Net Subscriber Gain/Loss Volumes – Current Run Rate   § Net Subscriber Gain/Loss Volumes – Current Run Rate
§ SWOT Analysis                                         § SWOT Analysis

NRL LIVE PASS                                           SUMMARY OF CONSUMER FEEDBACK
§ Age and Gender Profile                                § Verbatims of Areas for Improvement
§ Household Composition and Subscription Profile
§ Pay TV and SVOD Service Cross-Consumption             APPENDICES
§ SWOT Analysis

OPTUS SPORTS
§ Age and Gender Profile
§ Household Composition and Subscription Profile
§ Pay TV and SVOD Service Cross-Consumption
§ Growth and Marketing Conversion Metrics
§ Net Subscriber Gain/Loss Volumes – Current Run Rate
§ SWOT Analysis

                                                                                                                16
ABOUT US
Insights that Power Media Growth
Strategies
AMPD Research offers clients the latest innovation in consumer insights. We
specialize in media measurement, audience growth, content development,
and revenue optimization. Our platforms and services offer unparalleled
insights into the supply and demand for video and entertainment content
globally.

We offer end-to-end evidence-based solutions that deliver actionable and
timely answers to key industry stakeholders, including
content creators, strategists, distributors, and investors.

AMPD Research is the consumer insights division of

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