Analysys Mason Application Based Pricing Dec2013 RDMY0 RMA04 ToC (1)

download Analysys Mason Application Based Pricing Dec2013 RDMY0 RMA04 ToC (1)

of 14

Transcript of Analysys Mason Application Based Pricing Dec2013 RDMY0 RMA04 ToC (1)

  • 7/27/2019 Analysys Mason Application Based Pricing Dec2013 RDMY0 RMA04 ToC (1)

    1/14

    Analysys Mason Limited 2013

    Application-based pricing: opportunities, business models and case studies

    Research Report

    Application-based pricing: opportunities, business

    models and case studies

    December 2013

    Ronan de Renesse, Glen Ragoonanan, Eva Weidinger and Anil Rao

  • 7/27/2019 Analysys Mason Application Based Pricing Dec2013 RDMY0 RMA04 ToC (1)

    2/14

    Analysys Mason Limited 2013

    Application-based pricing: opportunities, business models and case studies

    Contents

    5. Executive summary

    6. About this report

    7. ABP needs to be mutually beneficial for customers, operators and OTT

    players to be successful

    8. Customers are the key party in the value chain: OTT players need

    operators to reach them; operators need OTT players to gain more of

    them

    9. ABP deployments are rather fragmented and usually linked to marketing

    campaigns, suggesting that operators are still experimenting

    10. Vendors are not well integrated in the ABP value chain, which is

    frustrating for both operators and vendors

    11. Recommendations for operators, OTT players and vendors

    12. Recommendations for operators and OTT players

    13. Recommendations for vendors

    14. Understanding the benefits of ABP

    15. Smartphone owners use on average ten apps each month, but only 13%

    of downloaded apps are paid for

    16. The benefits of ABP are often unclear to consumers, who do not attach

    a financial value to apps

    17. Operator benefits: capturing smartphone customers

    18. Operator benefits: converting feature-phone users to smartphone users

    19. Operator benefits: increasing smartphone ARPU

    20. OTT player benefits: using operator assets to better monetise mobile

    usage

    21. OTT player benefits: maximising service reach

    2

    22. The ABP opportunity varies by region

    23. ABP business models

    24. Business models vary in terms of which party pays and how much they

    pay, but ultimately customers must pay to sustain any model

    25. Customers are the key party in the value chain: OTT players need

    operators to reach them; operators need OTT players to gain more of

    them

    26. Deutsche Telekom and Spotify have a fixed-rate business model, in

    which the operator pays the OTT player, and acts as a reseller

    27. Telefnica Digitals partnership with Aurasma is a rare example of a

    revenue-sharing business model in which an OTT player pays the

    operator

    28. Operators and OTT players can enter into short-term exclusive

    agreements to bundle apps and services, but no money is exchanged

    29. Operator case studies

    30. Classification of case studies

    31. OTT case study: Partnerships between Facebook and operators are

    mutually beneficial

    32. OTT case study: Google Free Zone grants preferential access to Google

    services

    33. OTT case study: Mobile partnerships couldhelp Wikimedia sites to

    reach 1 billion people by 2015

    34. Operator case study: Telkomsel Indonesia and Vodafone Qatar promote

    take-up of data services with Facebook offers

    35. Operator case study: Telenors partnership with Facebook drove its

    mobile Internet revenue in Thailand

    Slide no. Slide no.

  • 7/27/2019 Analysys Mason Application Based Pricing Dec2013 RDMY0 RMA04 ToC (1)

    3/14

    Analysys Mason Limited 2013

    Application-based pricing: opportunities, business models and case studies

    Contents

    36. Operator case study: Globe Telecom Philippines offers various daily

    tariffs in order to provide consumers with flexibility

    37. Operator case study: Deutsche Telekom offers zero-rated access to

    Spotify Premium

    38. Operator case study: Operators in the UK differentiate 4G services with

    OTT content and service bundles

    39. Operator case study: Operators in the USA want to allow content

    providers to subsidise data usage, but may encounter regulatory issues

    40. Operator vendor engagement

    41. Vendors are not well integrated in the ABP value chain, which is

    frustrating for both operators and vendors

    42. The overlap of leading policy management and RTC vendors shows the

    increasing interdependency between these two solutions for ABP offers

    43. Policy vendors are moving towards more convergent and integrated

    3GPP policy control and charging (PCC) architecture

    44. Vendors should take a strategic role in helping CSPs make the transition

    from Policy 1.0 to Policy 2.0 use cases for revenue generation

    45. CSPs and RTC vendors prefer the pay-as-you-grow licensing model for

    policy management

    46. Vendor profiles

    47. Alcatel-Lucent

    48. Amdocs

    49. AsiaInfoLinkage

    3

    50. Comverse

    51. Ericsson

    52. Hewlett-Packard

    53. Huawei Technologies

    54. Openet

    55. Openwave Mobility

    56. Orga Systems

    57. Oracle (Tekelec)

    58. Redknee (formerly NSN)

    59. Volubill

    60. Definitions

    61. Policy management use cases: descriptions and drivers [1]

    62. Policy management use cases: descriptions and drivers [2]

    63. Policy management use cases: descriptions and drivers [3]

    64. About the authors and Analysys Mason

    65. About the authors [1]

    66. About the authors [2]

    67. About Analysys Mason68. Research from Analysys Mason

    69. Consulting from Analysys Mason

    Slide no. Slide no.

  • 7/27/2019 Analysys Mason Application Based Pricing Dec2013 RDMY0 RMA04 ToC (1)

    4/14

    Analysys Mason Limited 2013

    Application-based pricing: opportunities, business models and case studies

    List of figures

    Figure 1: Overview of the application-based pricing value chain

    Figure 2: Application-based pricing by type, as observed in operator casestudies

    Figure 3: Number of apps downloaded, used and paid for per smartphone

    respondent, selected European countries and USA, October 2012

    Figure 4: Monthly spend on apps per smartphone user, selected European

    countries and USA, October 2012

    Figure 5: Smartphone users who purchase apps, by monthly spend,

    selected European countries and USA, October 2012

    Figure 6: Key factors other than price that would most attract respondents

    to their next tariff/contract, by device type, selected European

    countries and USA, October 2012Figure 7: Smartphone penetration rate by region, 20132018, selected

    European countries and USA, October 2012

    Figure 8: Smartphone respondents self-reported data usage as a share of

    data allowance, selected European countries and USA, October

    2012

    Figure 9: Over-the-top fixed-to-mobile advertising revenue cannibalisation

    Figure 10: Facebooks monthly active users and ARPU by region,

    2Q 20102Q 2013

    Figure 11: Overview of the application-based pricing value chain

    Figure 12: Deutsche Telekom and Spotifys fixed-rate reseller businessmodel

    Figure 13: Telefnica Digital and Aurasmas revenue-sharing business

    model

    Figure 14: The no-one pays business model

    4

    Figure 15: Application-based pricing by type, as observed in operator

    case studiesFigure 16: Facebook mobile products used in ABP

    Figure 17: Operators that have supported Google Free Zone, August

    2013

    Figure 18: Operators that support free access to Wikipedia, October 2013

    Figure 19: Examples of Telenor Groups application-based pricing

    initiatives

    Figure 20: Globe Telecoms mobile service packages

    Figure 21: Deutsche Telekoms Spotify offers

    Figure 22: OTT content and services bundled with 4G tariffs, UK

    Figure 23: Policy management market shares by revenue, worldwide,

    2012

    Figure 24: Real-time charging market shares by revenue, worldwide,

    2012

    Figure 25: Top-six PCRF and RTC vendors by market share, 2012

    Figure 26: Changing landscape of policy vendors for 2013 as a result of

    mergers and acquisitions

    Figure 27: The evolution of policy use cases

    Figure 28: Application-based pricing description

    Figure 29ac: Policy management use cases

  • 7/27/2019 Analysys Mason Application Based Pricing Dec2013 RDMY0 RMA04 ToC (1)

    5/14 Analysys Mason Limited 2013

    Application-based pricing: opportunities, business models and case studies 5

    Executive summary

    Recommendations for operators and vendors

    Understanding the benefits of ABP

    ABP business models

    Operator case studies

    Operator vendor engagement

    Vendor profiles

    Definitions

    About the authors and Analysys Mason

  • 7/27/2019 Analysys Mason Application Based Pricing Dec2013 RDMY0 RMA04 ToC (1)

    6/14 Analysys Mason Limited 2013

    Application-based pricing: opportunities, business models and case studies

    About this report

    Mobile tariffs have evolved significantly in the past few years as consumer demand has moved from voice minutes and SMS

    messages to data bundles that enable access to mobile content and apps. As mobile data prices and per-user spending on digitalcontent decline, operators will need to consider innovative tariff structures to maintain ARPU and remain competitive.

    Application-based pricing (ABP) is defined as the inclusion of third-party content and services (that is, applications) as part of the

    tariff structure. In effect, it helps operators and over-the-top (OTT) players to further monetise consumer demand for popular

    applications on mobile devices.

    This report aims to analyse the opportunities that ABP creates for operators and vendors by:

    assessing the benefits of launching ABP for operators and OTT service providers

    examining best practices from around the world and matching them to different consumer profiles and contexts

    investigating business models and partnerships between OTT service providers and operators

    analysing operatorvendor engagement and qualifying vendors solutions forABP in case studies.

    The report also provides recommendations for operators, OTT players and vendors.

    6

  • 7/27/2019 Analysys Mason Application Based Pricing Dec2013 RDMY0 RMA04 ToC (1)

    7/14 Analysys Mason Limited 2013

    Application-based pricing: opportunities, business models and case studies

    The ABP opportunity varies by region

    Emerging markets have a higher share of prepaid mobile

    customers than developed countries and are characterisedby low Internet and smartphone penetration. Operators and

    third-party service and content providers have formed

    partnerships that aim to promote take-up of paid-for data

    services and content consumption in such environments.

    These partnerships are beneficial to both parties.

    Content and service providers, like Facebook or Google,

    are well-established in developed countries but are still

    competing for market share in countries with low Internet

    penetration. Partnerships with operators facilitatepromoting their services to the next billion of users that

    will connect to the Internet.

    Operators, by comparison, can explore new business

    opportunities by providing Internet services to consumers

    without a fixed Internet connection. Promoting the take-up

    of data packages as social media networks and OTT

    content and services are often key drivers.

    These OTT service offerings tend to be developed for useon feature phones. They are accessible through mobile

    browsers instead of apps, and frequently designed using

    freemium models that are optimised for low data

    consumption while enabling operators to upsell data

    packages for use outside the subsidised content.

    22

    Operators in developed markets bundle OTT content and

    services mainly for customer acquisition and retention and inorder to drive data consumption.

    OTT content and service bundles are also used to upsell 4G

    tariffs. For example, all operators in the UK that have

    launched LTE bundle OTT content.

    Telefnica (O2) and EE bundle their own service offerings.

    Vodafone provides OTT content in partnership with

    third-party content providers Sky Sports and Spotify.

    Most developed countries have a high share of postpaid

    customers, but countries such as Italy are predominantly

    prepaid markets. In the USA, prepaid is growing and we

    expect the share of handset prepaid connections to rise to

    28% by the end of 2018 in North America, up from 21.8% at

    the end of 2012.

    In order to address the prepaid customer base and

    promote take-up of paid-for data packages, operators in

    developed countries should look to operators in developingcountries that are experienced in targeting prepaid

    customers.

  • 7/27/2019 Analysys Mason Application Based Pricing Dec2013 RDMY0 RMA04 ToC (1)

    8/14

    Analysys Mason Limited 2013

    Application-based pricing: opportunities, business models and case studies

    Business models vary in terms of which party pays and how much they

    pay, but ultimately customers must pay to sustain any model

    The ABP value chain features three parties (see Figure 11 on next slide).

    Customers are the key players because they must ultimately pay for the apps and services to sustain the entire value chain.

    OTT players are the drivers that develop new innovative apps that customers adopt and make part of their digital life.

    Operators are enablers that connect customers with communications services and OTT apps and content over their network

    infrastructure anytime, anywhere, and on multiple devices.

    The success of this value chain depends on win-win relationships between adjacent parties to ensure each partys requirements

    and objectives are satisfied (see Figure 11).

    Established ABP offers are based on exclusivity agreements dictated by the operator toOTT players. As a result, the two main

    business model levers are:

    which party pays: the operator, the OTT player or neither

    whether the payment is on a fixed-rate or revenue-sharing basis.

    The following slides detail three typical business models, which are based on examples of exclusivity agreements.

    Fixed rate: the operator pays the OTT player a fixed rate , as per the Deutsche Telekom and Spotify agreement.

    Revenue-sharing: the OTT pays the operator a share of revenue, as per Telefnica Digital and Aurasmas partnership.

    No-one pays, as per agreements between Facebook and dtac Thailand (part of Telenor), as well as SingTel and WhatsApp.

    The customer is more influential in the no-one pays business model than in the other two. As such, there are more mutual benefits

    for all parties in the value chain, but the operator carries a higher risk than the OTT player and customers.

    The customer ultimately pays to sustain all models.

    24

  • 7/27/2019 Analysys Mason Application Based Pricing Dec2013 RDMY0 RMA04 ToC (1)

    9/14

    Analysys Mason Limited 2013

    Application-based pricing: opportunities, business models and case studies

    About the authors [1]

    Ronan de Renesse(Principal Analyst) is the lead analyst for Analysys Masons Mobile Content and Applicationsand Mobile Broadband and Devices programmes. His primary areas of specialisation include rich media

    applications and services on mobile, application store forecasting, mobile broadband, tablets and smartphone

    adoption. Ronan has been analysing the telecoms and media industry since 2003. Prior to joining Analysys Mason,

    Ronan was a Senior Analyst and the Head of Mobile at IHS Screen Digest, where he had overall responsibility for

    the Mobile Media Intelligence service and all related activities. For the past five years, Ronan has led the conception

    and development of various mobile media and technology forecasts, including those for mobile video, mobile music,

    mobile games, mobile applications, mobile broadband and smartphones. Before becoming an industry analyst,

    Ronan was an academic researcher at the Centre for Telecommunications Research at King's College London.

    He had numerous articles published in international technology journals and also gave various presentations at

    high-profile conferences. Ronan holds a PhD in Telecommunications from Kings College London. Ronan hasalso participated on the GSMA Global Mobile Awards judging panel.

    Glen Ragoonanan(Senior Analyst) is the lead analyst for Analysys Masons Infrastructure Solutions, Service

    Delivery Platforms and Software-Controlled Networkingresearch programmes. He joined Analysys Mason in 2008

    and has worked as a consultant on projects on next-generation IT and telecoms networks, systems and

    technologies for incumbents, new entrants, private companies, regulators and public-sector clients. His primary

    areas of specialisation include operations and business support systems (OSS/BSS) solution architecture and

    integration for business process re-engineering, business process optimisation, business continuity planning,

    procurement and outsourcing operations and strategies. Before joining Analysys Mason, Glen worked for Fujitsu,

    designing, delivering and managing integrated solutions. Glen is a Chartered Engineer and project managementprofessional with an MSc from Coventry University.

    65

  • 7/27/2019 Analysys Mason Application Based Pricing Dec2013 RDMY0 RMA04 ToC (1)

    10/14

    Analysys Mason Limited 2013

    Application-based pricing: opportunities, business models and case studies

    About the authors [2]

    Eva Weidinger(Research Analyst) contributes research for the Mobile Content and Applications and MobileBroadband and Devices programmes. Before becoming a Research Analyst at Analysys Mason, Eva worked as a

    research analyst contractor with Kaiser Associates. She holds a Masters degree in Global Politics from London

    School of Economics and Political Science, and a Bachelors degree in Media Technology.

    Anil Rao(Analyst) is a member of Analysys Masons Telecoms Software research team, focusing on the Service

    Assurance, Infrastructure Solutions and Service Delivery Platforms programmes. He has more than 10 years

    experience in the telecoms industry, working in systems integration and service delivery with major Tier 1 mobile

    and fixed-line operators, and independent software vendors. Anil joined Analysys Mason in early 2012. He holdsa BEng in Computer Science from the University of Mysore, and an MBA from Lancaster University Management

    School.

    66

  • 7/27/2019 Analysys Mason Application Based Pricing Dec2013 RDMY0 RMA04 ToC (1)

    11/14

    Analysys Mason Limited 2013

    Application-based pricing: opportunities, business models and case studies

    About Analysys Mason

    Knowing whats going on is one thing. Understanding how to take advantage of events is quite another. Our ability to understand the

    complex workings of telecoms, media and technology (TMT) industries and draw practical conclusions, based on the specialistknowledge of our people, is what sets Analysys Mason apart. We deliver our key services via two channels: consulting and research.

    67

    Consulting

    Our focus is exclusively on TMT.

    We support multi-billion dollar investments, advise clients on

    regulatory matters, provide spectrum valuation and auction support,

    and advise on operational performance, business planning and strategy.

    We have developed rigorous methodologies that deliver tangibleresults for clients around the world.

    For more information, please visit www.analysysmason.com/consulting .

    Research

    We analyse, track and forecast the different services accessed by

    consumers and enterprises, as well as the software, infrastructure

    and technology delivering those services.

    Research clients benefit from regular and timely intelligence inaddition to direct access to our team of expert analysts.

    Our dedicated Custom Research team undertakes specialised and

    bespoke projects for clients.

    For more information, please visit www.analysysmason.com/research .

  • 7/27/2019 Analysys Mason Application Based Pricing Dec2013 RDMY0 RMA04 ToC (1)

    12/14

    Analysys Mason Limited 2013

    Application-based pricing: opportunities, business models and case studies

    Research from Analysys Mason

    We provide dedicated coverage of developments in the telecoms, media and technology (TMT) sectors,

    through a range of research programmes that focus on different services and regions of the world.

    68

    Alongside our standardised suite of research programmes, our Custom Researchteam undertakes specialised, bespoke research

    projects for clients. The dedicated team offers tailored investigations and answers complex questions on markets, competitors and

    services with customised industry intelligence and insights.

    To find out more, please visit www.analysysmason.com/research.

    Network Technologies

    Practices

    Consumer Services

    Enterprise and M2M

    Telecoms SoftwareStrategies

    Data programmesApplication programmes

    MEA APAC

    Regional Markets

    Europe

    Telecoms SoftwareMarkets

  • 7/27/2019 Analysys Mason Application Based Pricing Dec2013 RDMY0 RMA04 ToC (1)

    13/14

    Analysys Mason Limited 2013

    Application-based pricing: opportunities, business models and case studies

    Consulting from Analysys Mason

    For more than 25 years, our consultants have

    been bringing the benefits of applied intelligence

    to enable clients around the world to make

    the most of their opportunities.

    69

    Our clients in the telecoms, media and technology (TMT)

    sectors operate in dynamic markets where change is

    constant. We help shape their understanding of the future

    so they can thrive in these demanding conditions. To do

    that, we have developed rigorous methodologies that

    deliver real results for clients around the world.

    Our focus is exclusively on TMT. We advise clients on

    regulatory matters, help shape spectrum policy and develop

    spectrum strategy, support multi-billion dollar investments,

    advise on operational performance and develop new

    business strategies. Such projects result in a depth of

    knowledge and a range of expertise that sets us apart.

    We help clients solve their most pressing problems,

    enabling them to go farther, faster and achieve their

    commercial objectives.

    To find out more, please visit

    www.analysysmason.com/consulting .

  • 7/27/2019 Analysys Mason Application Based Pricing Dec2013 RDMY0 RMA04 ToC (1)

    14/14

    Analysys Mason Limited 2013

    Application-based pricing: opportunities, business models and case studies

    Published by Analysys Mason Limited Bush House North West Wing Aldwych London WC2B 4PJ UK

    Tel: +44 (0)20 7395 9000 Fax: +44 (0)20 7395 9001 Email: [email protected] www.analysysmason.com/research Registered in England No. 5177472

    Analysys Mason Limited 2013. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any meanselectronic, mechanical,

    photocopying, recording or otherwise without the prior written permission of the publisher.

    Figures and projections contained in this report are based on publicly available information only and are produced by the Research Division of Analysys Mason Limited independently of any c lient-

    specific work within Analysys Mason Limited. The opinions expressed are those of the stated authors only.

    Analysys Mason Limited recognises that many terms appearing in this report are proprietary; all such trademarks are acknowledged and every effort has been made to indicate them by the normal UK

    publishing practice of capitalisation. However, the presence of a term, in whatever form, does not affect its legal status as a trademark.

    Analysys Mason Limited maintains that all reasonable care and skill have been used in the compilation of this publication. However, Analysys Mason Limited shall not be under any liability for loss or

    damage (including consequential loss) whatsoever or howsoever arising as a result of the use of this publication by the customer, his servants, agents or any third party.