Fast-Tracking Operator Plans to Win in the $5bn Location Insights Market

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Preface

Subscriber location information is a much-heralded asset of the telecoms operator. Operators have generally understood the importance of this asset but have typically struggled to monetize their position. Some operators have used location information to enable third party services whilst others have attempted to address the opportunity more holistically, with mixed success.

This report updates and expands on a previous STL Partners study: “Making Money from Location Insights” (2013). It outlines how to address the potential opportunity around Location Services. It draws on interviews conducted amongst key stakeholders within the emerging ecosystem, supplemented by STL Partners’ research and analysis, with the objective of determining how operators can release the value from their unique position in the location value chain.

This report focuses on what we have defined as Location Insight Services. The report argues that operators should first seek to offer Location Insight Services before evolving to cover Location Based Services. This strategic approach allows operators to better understand their data and to build location services for enterprise customers rather than starting with consumer-orientated location services that require additional capabilities. This approach provides the most upside with the least associated risk, offering the potential for incremental learning.

This report was commissioned and supported by Viavi Solutions (formerly JDSU). The research, analysis and the writing of the report itself were carried out independently by STL Partners. The views and conclusions contained herein are those of STL Partners.

Location Based Services vs. Location Insight Services

In the 2013 report, STL made a clear distinction between different types of location services.

  • Location Based Services (LBS) are geared towards supporting business processes (typically marketing-oriented) that are dependent on the instant availability of real-time or near real-time data about an individually identifiable subscriber. These are provided on the reasonable assumption that knowing an individual’s location enables a company to deliver a service or make an offer that is more relevant, there and then. Typically these services require explicit consent and an interaction with the customer (e.g. push marketing) and therefore require compelling user interfaces and permissions.
  • Additionally there is an opportunity to derive and deliver Location Insight Services (LIS) from connected consumers’ mobile location data. This opportunity does not necessarily require real-time data and where insights are aggregated and anonymized, can safeguard individuals’ privacy. The underlying premise is that identification of repetitive patterns in location activity over time not only enables a much deeper understanding of the consumer in terms of behavior and motivation, but also builds a clearer picture of the visitor profile of the location. Additionally LIS has the potential to provide data that is not available via other routes (e.g. understanding the footfall within a competitor’s store).

Figure 7:  Mapping the Telco Opportunity Landscape

Source: STL Partners

The framework in Figure 7 has been developed by STL Partners specifically with the mobile operator’s perspective in mind. We have split out operator location opportunities along two dimensions:

  • Real-time vs. Non-real-time data acquisition
  • Individual vs. Aggregated data analysis and action

Choosing the Right Strategy

Where are we now?

Most operators understand the potential value of their location asset and have attempted to monetize their data. Some operators have used location to enable 3rd party services whilst others have attempted to address the opportunity more holistically. Both have achieved mixed success for a number of reasons.

Most operators who are attempting to monetize location data have been drawn towards Location Based Services, namely push-marketing and advertising. Whilst some operators have achieved moderate success here (e.g. O2 Priority Moments), most are acting as enablers for other services. They are therefore addressing a limited part of the value chain and subsequently are not realizing significant value from their data. We do not consider those that pursue this strategy to be Location Based Services Providers, rather they are simply enablers.

Similarly a number of operators are addressing Location Insights, albeit with different approaches. Some are partnering with analytics and insight companies (e.g. Telefonica and GfK), others are developing services mostly on their own (e.g. SingTel’s DataSpark), whilst others are simply launching pilots.

In order to maximize the value that operators can secure through Location Services, we believe that operators need to address the whole Location ‘Stack’, not simply enabling new services or providing raw data. STL believe that the best way to do this is to start with Location Insight Services.

Start with Location Insight Services

When considering how to develop and monetize their location assets we recommend that operator’s select to start with LIS. Whilst many operators are already engaged in LBS (e.g. enabling push-marketing) the majority are not actually providing the service but are simply sharing data and enabling a 3rd party service provider.
Starting with LIS has a number of strategic advantages:

  • It’s a big opportunity in its own right
  • Telcos (should) have a data capture/technology advantage for LIS over OTT players
  • LIS provides an opportunity to build & learn incrementally, proving value
  • Privacy risks are reduced (particularly with aggregated data)
  • LIS does not require 100% coverage of the population, unlike a number of LBS use cases
  • LIS can provide internal benefits and can bolster the Go-to-Market strategy for vertical specific offerings

These advantages are explored in more detail further in this report.

 

  • Location, Location, Location
  • The Importance of Information
  • Location Based Services vs. Location Insight Services
  • Choosing the Right Strategy
  • Where are we now?
  • Start with Location Insight Services
  • Improve your LIS offering, transition towards LBS & position yourself as a Trusted Data Provider
  • Location Insights – Marketplace Overview
  • Where is the Opportunity for Location Insight Services?
  • Which Sectors are most addressable?
  • Sizing the Opportunity
  • Why haven’t forecasts developed as quickly as expected?
  • Location Insights potentially worth $5bn globally by 2020
  • Benchmarks
  • Where does the value come from – the Location Insights ‘Stack’
  • Understanding the Technology Options
  • The Technology Options for Location Data Acquisition
  • Technology Advantages for Telcos
  • The Right Degree of Location Precision
  • Other Advantages of Starting with LIS
  • Incremental Learning
  • Addressing the Privacy Question
  • Market Coverage
  • LIS can provide internal benefits and can bolster the Go-to-Market strategy for vertical specific offerings
  • Expanding Beyond Insights
  • Addressing Location Based Services
  • Becoming a Trusted Data Provider
  • Practical Guidance to Launch Location Services
  • Market Strategy
  • Data Management
  • An agile approach, partnering, orchestration and governance
  • Conclusions
  • Appendices
  • Appendix 1: Location Acquisition Technologies in Detail
  • Appendix 2: Opportunity Sizing Methodology
  • Appendix 3: About STL Partners and Telco 2.0: Change the Game

 

  • Figure 1: Location Insight vs. Location Based Services
  • Figure 2: STL Partners’ Analysis of the value of Global Location Insight Services (by 2020)
  • Figure 3: Analysis of location data acquisition technologies suitability for Location Insight Services
  • Figure 4: The Strategy Beyond Location Insights
  • Figure 5: The Explosion of Smartphones (2007-2014)
  • Figure 6: ‘Non-Smart’ Data Insights Become More Important as More ‘Things’ are Connected
  • Figure 7: Mapping the Telco Opportunity Landscape
  • Figure 8: Four opportunity domains for operators
  • Figure 9: Turkcell’s Smart Map Tool
  • Figure 10: TomTom’s Fusion Engine to Analyze Real-Time Traffic Information
  • Figure 11: Tado’s Proximity Based Thermostat
  • Figure 12: Expanding Beyond LIS
  • Figure 13: Location Insights – Market Taxonomy
  • Figure 14: Telefónica Smart Steps Location Analytics Tool
  • Figure 15: Motionlogic’s Location Analytics Tool
  • Figure 16: The value of Global Location Insight Services by industry and sector (by 2020)
  • Figure 17: The Location Insights ‘Stack’
  • Figure 18: How well do different location data acquisition technologies support Location Insight Services needs?
  • Figure 19: Real-Time vs. Near Real-Time Location Information
  • Figure 20: Deveryware’s Dynamic Permissions Tool
  • Figure 21: Become a Trusted Data Provider
  • Figure 22: Analysis of App/OS based real-time location Technology
  • Figure 23: Analysis of App/OS based data stored on device Technology
  • Figure 24: Analysis of Emergency Services Location Technology
  • Figure 25: Analysis of Granular (building level) network based Technology
  • Figure 26: Analysis of Coarse (cell-level) network based Technology
  • Figure 27: Analysis of Indoor Technologies

Telco 2.0: Making Money from Location Insights

Preface

The provision of Location Insight Services (LIS) represents a significant opportunity for Telcos to monetise subscriber data assets. This report examines the findings of a survey conducted amongst representatives of key stakeholders within the emerging ecosystem, supplemented by STL Partners’ research and analysis with the objective of determining how operators can release the value from their unique position in the location value chain.

The report concentrates on the Location Insight Services (LIS), which leverage the aggregated and anonymised data asset derived from connected consumers’ mobile location data, as distinct from Location Based Services (LBS), which are dependent on the availability of individual real time data.

The report draws the distinction between Location Insight Services that are Person-centric and those that are Place-centric and assesses the different uses for each data set.

In order to service the demand from specific use cases as diverse as Benchmarking, Transport & Infrastructure Planning, Site Selection and Advertising Evaluation, operators face a choice between fulfilling the role of Data Supplier, providing the market with Raw Big Data or offering Professional Services, adding value through a combination of location insight reports and interpretation consultancy.

The report concludes with a comparative evaluation of options for operators in the provision of LIS services and a series of recommendations for operators to enable them to release the value in Location Insight Services.

Location data – untapped oil

The ubiquity of mobile devices has led to an explosion in the amount of location-specific data available and the market has been quick to capitalise on the opportunity by developing a range of Location-Based Services offering consumers content (in the form of information, promotional offers and advertising). Industry analysts predict that this market sector is already worth nearly $10 billion.

The vast majority of these Location Based Services (LBS) are dependent on the availability of real time data, on the reasonable assumption that knowing an individual’s location enables a company to make an offer that is more relevant, there and then.  But within the mobile operator community, there is a growing conviction that a wider opportunity exists in deriving Location Insight Services (LIS) from connected consumers’ mobile location data. This opportunity does not necessarily require real time data (see Figure 9). The underlying premise is that identification of repetitive patterns in location activity over time not only enables a much deeper understanding of the consumer in terms of behaviour and motivation, but also builds a clearer picture of the visitor profile of the location itself.

Figure 1:  Focus of this study is on Location Insight Services
Focus of this Study on Location Insight Services

  • As part of our Telco 2.0 Initiative, we have surveyed a number of companies from within the evolving location ecosystem to assess the potential value of operator subscriber data assets in the provision of Location Insight Services. This report examines the findings and illustrates how operators can release the value from their unique position in the location value chain.

Location Insight Services is a fast growing, high value opportunity

The demand is “Where”?

For operators to invest in the technology and resources required to enter this market, a compelling business case is required. Firstly, various analysts have confirmed that there is a massive latent demand for location-centric information within the business community to enable the delivery of location-specific products and services that are context-relevant to the consumer. According to the Economist Business Unit, there is a consensus amongst marketers that location information is an important element in developing marketing strategy, even for those companies where data on customer and prospect location is not currently collected.3

Figure 2: Location is seen as the most valuable information for developing marketing strategy
Location is seen as the most valuable information for developing marketing strategy

Source: Mind the marketing gap – A report from Economist Business Intelligence Unit

Scoping the LIS opportunity by industry and function

In order to understand the market potential for Location Insight Services, we have considered both industry sectors and job functions where insights derived from location data at scale improve business efficiencies. Our research has suggested that Location Insight Services have an application to many organisations that are seeking to address the broader issue of how to extract the benefits concealed within Big Data.

A recent report from Cisco concentrating on how to unlock the value of digital analytics suggested that Big Data has an almost universal application and

“Big Data could help almost any organization run better and more efficiently. A service provider could improve the day-to-day operations of its network. A retailer could create more efficient and lucrative point-of-sale interactions. And virtually any supply chain would run more smoothly. Overall, a common information fabric would improve process efficiency and provide a complete asset view.” 

Our research suggests that the following framework facilitates understanding of the different elements that together comprise the market for non-real time Location Insight Services.

The matrix considers the addressable market by reference to vertical industry sectors and horizontal function or disciplines.

We have rated the opportunities High, Medium and Low based on a high level assessment of the potential for uptake within each defined segment. In order to produce an estimate of the potential market size for non-real time Location Insight Services, STL Partners have taken into account the current revenue estimates for both industry sectors and functions.

Figure 3:  Location Insight Market Overview (telecoms excluded)
Location Insight Services Market Taxonomy

Report Contents

  • Preface
  • Executive Summary
  • Location data – untapped oil
  • Location Insight Services is a fast growing, high value opportunity
  • Scoping the LIS opportunity by industry and function
  • Location Insight Services could be worth $11bn globally by 2016
  • Which use cases will drive uptake of LIS?
  • Use cases – industry-specific illustrations
  • How should Telcos “productise” location insights services?
  • Operators are uniquely placed to deliver location insights and secure a significant share of this opportunity
  • What is the operator LIS value proposition?
  • Location insight represents a Big Data challenge for Telcos.
  • There is a demand for more granular location data
  • Increasing precision commands a premium
  • Meeting LIS requirements – options for operators
  • What steps should operators take?
  • Methodology and reference sources
  • References
  • Appendix 1 – Opportunity Sizing
  • Definition
  • Methodology

 

  • Figure 1: Focus of this study is on Location Insight Services
  • Figure 2: Location is seen as the most valuable information for developing marketing strategy
  • Figure 3: Location Insight Market Overview (telecoms excluded)
  • Figure 4: The value of Global Location Insight Services by industry and sector (by 2016)
  • Figure 5: How UK retail businesses use location based insights
  • Figure 6: Illustrative use cases within the Location Insights taxonomy
  • Figure 7: How can Telcos create value from customer data?
  • Figure 8: Key considerations for Telco LIS service strategy formulation
  • Figure 9: Real time service vs. Insight
  • Figure 10: The local link in global digital markets
  • Figure 11: Customer Data generated by Telcos
  • Figure 12: Power of insight from combining three key domains
  • Figure 13: Meeting LIS Requirements – Options for Operators

The value of “Smart Pipes” to mobile network operators

Preface

Rationale and hypothesis for this report

It is over fourteen years since David Isenberg wrote his seminal paper The Rise of the Stupid Network in which he outlined the view that telephony networks would increasingly become dumb pipes as intelligent endpoints came to control how and where data was transported. Many of his predictions have come to fruition. Cheaper computing technology has resulted in powerful ‘smartphones’ in the hands of millions of people and new powerful internet players are using data centres to distribute applications and services ‘over the top’ to users over fixed and mobile networks.

The hypothesis behind this piece of research is that endpoints cannot completely control the network. STL Partners believes that the network itself needs to retain intelligence so it can interpret the information it is transporting between the endpoints. Mobile network operators, quite rightly, will not be able to control how the network is used but must retain the ability within the network to facilitate a better experience for the endpoints. The hypothesis being tested in this research is that ‘smart pipes’ are needed to:

  1. Ensure that data is transported efficiently so that capital and operating costs are minimised and the internet and other networks remain cheap methods of distribution.
  2. Improve user experience by matching the performance of the network to the nature of the application or service being used. ‘Best effort’ is fine for asynchronous communication, such as email or text, but unacceptable for voice. A video call or streamed movie requires guaranteed bandwidth, and real-time gaming demands ultra-low latency;
  3. Charge appropriately for use of the network. It is becoming increasingly clear that the Telco 1.0 business model – that of charging the end-user per minute or per Megabyte – is under pressure as new business models for the distribution of content and transportation of data are being developed. Operators will need to be capable of charging different players – end-users, service providers, third-parties (such as advertisers) – on a real-time basis for provision of broadband and guaranteed quality of service (QoS);
  4. Facilitate interactions within the digital economy. Operators can compete and partner with other players, such as the internet companies, in helping businesses and consumers transact over the internet. Networks are no longer confined to communications but are used to identify and market to prospects, complete transactions, make and receive payments and remittances, and care for customers. The knowledge that operators have about their customers coupled with their skills and assets in identity and authentication, payments, device management, customer care etc. mean that ‘the networks’ can be ‘enablers’ in digital transactions between third-parties – helping them to happen more efficiently and effectively.

Overall, smarter networks will benefit network users – upstream service providers and end users – as well as the mobile network operators and their vendors and partners. Operators will also be competing to be smarter than their peers as, by differentiating here, they gain cost, revenue and performance advantages that will ultimately transform in to higher shareholder returns.

Sponsorship and editorial independence

This report has kindly been sponsored by Tellabs and is freely available. Tellabs developed the initial concepts, and provided STL Partners with the primary input and scope for the report. Research, analysis and the writing of the report itself was carried out independently by STL Partners. The views and conclusions contained herein are those of STL Partners.

About Tellabs

Tellabs logo

Tellabs innovations advance the mobile Internet and help our customers succeed. That’s why 43 of the top 50 global communications service providers choose our mobile, optical, business and services solutions. We help them get ahead by adding revenue, reducing expenses and optimizing networks.

Tellabs (Nasdaq: TLAB) is part of the NASDAQ Global Select Market, Ocean Tomo 300® Patent Index, the S&P 500 and several corporate responsibility indexes including the Maplecroft Climate Innovation Index, FTSE4Good and eight FTSE KLD indexes. http://www.tellabs.com

Executive Summary

Mobile operators no longer growth stocks

Mobile network operators are now valued as utility companies in US and Europe (less so APAC). Investors are not expecting future growth to be higher than GDP and so are demanding money to be returned in the form of high dividends.

Two ‘smart pipes’ strategies available to operators

In his seminal book, Michael Porter identified three generic strategies for companies – ‘Cost leadership’, ‘Differentiation’ and ‘Focus’. Two of these are viable in the mobile telecommunications industry – Cost leadership, or Happy Pipe in STL Partners parlance, and Differentiation, or Full-service Telco 2.0. No network operators have found a Focus strategy to work as limiting the customer base to a segment of the market has not yielded sufficient returns on the high capital investment of building a network. Even MVNOs that have pursued this strategy, such as Helio which targeted Korean nationals in the US, have struggled.

Underpinning the two business strategies are related ‘smart pipe’ approaches – smart network and smart services:

Porter

Strategy

Telco 2.0 strategy

Nature of smartness

Characteristics

Cost leadership

Happy Pipe

Smart network

Cost efficiency – minimal network, IT and commercial costs.  Simple utility offering.

Differentiation

Full-service Telco 2.0

Smart services

Technical and commercial flexibility: improve customer experience by integrating network capabilities with own and third-party services and charging either end user or service provider (or both).

Source: STL Partners

It is important to note that, currently at least, having a smart network is a precursor of smart services.  It would be impossible for an operator to implement a Full-service Telco 2.0 strategy without having significant network intelligence.  Full-service Telco 2.0 is, therefore, an addition to a Happy Pipe strategy.

Smart network strategy good, smart services strategy better

In a survey conducted for this report, it was clear that operators are pursuing ‘smart’ strategies, whether at the network level or extending beyond this into smart services, for three reasons:

  • Revenue growth: protecting existing revenue sources and finding new ones.  This is seen as the single most important driver of building more intelligence.
  • Cost savings: reducing capital and operating costs.
  • Performance improvement: providing customers with an improved customer experience.

Assuming that most mobile operators currently have limited smartness in either network or services, our analysis suggests significant upside in financial performance from successfully implementing either a Happy Pipe or Full-service Telco 2.0 strategy.  Most mobile operators generate Cash Returns on Invested Capital of between 5 and 7%.  For the purposes of our analysis, we have a assumed a baseline of 5.8%.  The lower capital and operator costs of a Happy Pipe strategy could increase this to 7.4% and the successful implementation of a Full-service Telco 2.0 strategy would increase this to a handsome 13.3%:

Telco 2.0 strategy

Nature of smartness

Cash Returns on Invested Capital

As-is – Telco 1.0

Low – relatively dumb

5.8%

Happy Pipe

Smart network

7.4%

Full-service Telco 2.0

Smart services

13.3%

Source: STL Partners

STL Partners has identified six opportunity areas for mobile operators to exploit with a Full-service Telco 2.0 strategy.  Summarised here, these are outlined in detail in the report:

Opportunity Type

Approach

Typical Services

Core Services

Improving revenues and customer loyalty by better design, analytics, and smart use of data in existing services.

Access, Voice and Messaging, Broadband, Standard Wholesale, Generic Enterprise ICT Services (inc. SaaS)

Vertical industry solutions (SI)

Delivery of ICT projects and support to vertical enterprise sectors.

Systems Integration (SI), Vertical CEBP solutions, Vertical ICT, Vertical M2M solutions, and Private Cloud.

Infrastructure services

Optimising cost and revenue structures by buying and selling core telco ICT asset capacity.

Bitstream ADSL, Unbundled Local Loop, MVNOs, Wholesale Wireless, Network Sharing, Cloud – IaaS.

Embedded communications

Enabling wider use of voice, messaging, and data by facilitating access to them and embedding them in new products.

Comes with data, Sender pays delivery, Horizontal M2M Platforms, Voice, Messaging and Data APIs for 3rd Parties.

Third-pary business enablers

Enabling new telco assets (e.g. Customer data) to be leveraged in support of 3rd party business processes.

Telco enabled Identity and Authorisation, Advertising and Marketing, Payments. APIs to non-core services and assets.

Own-brand OTT services

Building value through Telco-owned online properties and ‘Over-the-Top’ services.

Online Media, Enterprise Web Services, Own Brand VOIP services.


Source: STL Partners

Regional approaches to smartness vary

As operators globally experience a slow-down in revenue growth, they are pursuing ways of maintaining margins by reducing costs.  Unsurprisingly therefore, most operators in North America, Europe and Asia-Pacific appear to be pursuing a Happy Pipe/smart network strategy.  Squeezing capital and operating costs and improving network performance is being sought through such approaches as:

  • Physical network sharing – usually involving passive elements such as towers, air-conditioning equipment, generators, technical premises and pylons.
  • Peering data traffic rather than charging (and being charged) for transit.
  • Wi-Fi offload – moving data traffic from the mobile network on to cheaper fixed networks.
  • Distributing content more efficiently through the use of multicast and CDNs.
  • Efficient network configuration and provisioning.
  • Traffic shaping/management via deep-packet inspection (DPI) and policy controls.
  • Network protection – implementing security procedures for abuse/fraud/spam so that network performance is maximised.
  • Device management to ameliorate device impact on network and improve customer experience

Vodafone Asia-Pacific is a good example of an operator pursuing these activities aggressively and as an end in itself rather than as a basis for a Telco 2.0 strategy.  Yota in Russia and Lightsquared in the US are similarly content with being Happy Pipers.

In general, Asia-Pacific has the most disparate set of markets and operators.  Markets vary radically in terms of maturity, structure and regulation and operators seem to polarise into extreme Happy Pipers (Vodafone APAC, China Mobile, Bharti) and Full-Service Telco 2.0 players (NTT Docomo, SK Telecom, SingTel, Globe).

In Telefonica, Europe is the home of the operator with the most complete Telco 2.0 vision globally.  Telefonica has built and acquired a number of ‘smart services’ which appear to be gaining traction including O2 Priority Moments, Jajah, Tuenti and Terra.  Recent structural changes at the company, in which Telefonica Digital was created to focus on opportunities in the digital economy, further indicate the company’s focus on Telco 2.0 and smart services.  Europe too appears to be the most collaborative market.  Vodafone, Telefonica, Orange, Telecom Italia and T-Mobile are all working together on a number of Telco 2.0 projects and, in so doing, seek to generate enough scale to attract upstream developers and downstream end-users.

The sheer scale of the two leading mobile operators in the US, AT&T and Verizon, which have over 100 million subscribers each, means that they are taking a different approach to Telco 2.0.  They are collaborating on one or two opportunities, notably with ISIS, a near-field communications payments solution for mobile, which is a joint offer from AT&T, Verizon and T-Mobile.  However, in the main, there is a high degree of what one interviewee described as ‘Big Bell dogma’ – the view that their company is big enough and powerful enough to take on the OTT players and ‘control’ the experiences of end users in the digital economy.  The US market is more consolidated than Europe (giving the big players more power) but, even so, it seems unlikely that either AT&T or Verizon can keep customers using only their services – the lamented wall garden approach.

Implementing a Telco 2.0 strategy is important but challenging

STL Partners explored both how important and how difficult it is to implement the changes required to deliver a Happy Pipe strategy (outlined in the bullets above) and those needed for Full-service Telco 2.0 strategy, via industry interviews with operators and a quantitative survey.  The key findings of this analysis were:

  • Overall, respondents felt that many activities were important as part of a smart strategy.  In our survey, all except two activity areas – Femto/pico underlay and Enhanced switches (vs. routers) – were rated by more than 50% of respondents as either ‘Quite important’ or ‘Very important’ (see chart below).
  • Activities associated with a Full-service Telco 2.0 strategy were rated as particularly important:
  • Making operator assets available via APIs, Differentiated pricing and charging and Personalised and differentiated services were ranked 1, 2 and 3 out of the thirteen activities.
  • Few considered that any of the actions were dangerous and could destroy value, although Physical network sharing and Traffic shaping/DPI were most often cited here.
Smart Networks - important implementation factors to MNOs
Source: STL Partners/Telco 2.0 & Tellabs ‘Smart pipes’ survey, July 2011, n=107

NOTE: Overall ranking was based on a weighted scoring policy of Very important +4, Quite important +3, Not that important +2, Unimportant +1, Dangerous -4.

Overall, most respondents to the survey and people we spoke with felt that operators had more chance in delivering a Happy Pipe strategy and that only a few Tier 1 operators would be successful with a Full-Service Telco 2.0 strategy.  For both strategies, they were surprisingly sceptical about operators’ ability to implement the necessary changes.  Five reasons were cited as major barriers to success and were particularly big when considering a Full-Service Telco 2.0 strategy:

  1. Competition from internet players.  Google, Apple, Facebook et al preventing operators from expanding their role in the digital economy.
  2. Difficulty in building a viable ecosystem. Bringing together the required players for such things as near-field communications (NFC) mobile payments and sharing value among them.
  3. Lack of mobile operators skills.  The failure of operators to develop or exploit key skills required for facilitating transactions such as customer data management and privacy.
  4. Culture.  Being too wedded to existing products, services and business models to alter the direction of the super-tanker.
  5. Organisation structure. Putting in place the people and processes to manage the change.

Looking at the specific activities required to build smartness, it was clear that those required for a Full-service Telco 2.0/smart services strategy are considered the hardest to implement (see chart below):

  • Personalised and differentiated services via use of customer data – content, advertising, etc.
  • Making operator assets available to end users and other service providers – location, presence, ID, payments
  • Differentiated pricing and charging based on customer segment, service, QoS
Smart Networks - how challenging are the changes?
Source: STL Partners/Telco 2.0 & Tellabs ‘Smart pipes’ survey, July 2011, n=100

NOTE: Overall ranking was based on a weighted scoring policy of Very easy +5, Relatively straightforward +4, Manageable +3, Quite difficult +2, Very difficult -2.

Conclusions and recommendations

By comparing the relative importance of specific activities against how easy they are to implement, we were able to classify them into four categories:

Category

Importance for delivering smart strategy

Relative ease of implementation

Must get right

High

Easy

Strive for new role

High

Difficult

Housekeeping

Low

Easy

Forget

Low

Difficult

Rating of factors needed for Telco 2.0 'Smart Pipes' and 'Full Services' Strategies
Source: STL Partners/Telco 2.0 & Tellabs ‘Smart pipes’ survey, July 2011, n=100

Unfortunately, as the chart above shows, no activities fall clearly into the ‘Forget’ categories but there are some clear priorities:

  • A Full-service Telco 2.0 strategy is about striving for a new role in the digital economy and is probably most appropriate for Tier 1 MNOs, since it is going to require substantial scale and investment in new skills such as software and application development and customer data.  It will also require the development of new partnerships and ecosystems and complex commercial arrangements with players from other industries (e.g. banking). 
  • There is a cluster of smart network activities that are individually relatively straightforward to implement and will yield a big bang for the buck if investments are made – the ‘Must get right’ group:
  • More efficient network configuration and provisioning;
  • Strengthen network security to cope with abuse and fraud;
  • Improve device management (and cooperation with handset manufacturers and content players) to reduce the impact of smartphone burden on the network;

Although deemed more marginal in our survey, we would include as equally important:

  • Traffic shaping and DPI which, in many cases, underpins various smart services opportunities such as differentiated pricing based on QoS and Multicast and CDNs which are proven in the fixed world and likely to be equally beneficial in a video-dominated mobile one.

There is second cluster of smart network activities which appear to be equally easy (or difficult) to implement but are deemed by respondents to be lower value and therefore fall into a lower ‘Housekeeping’ category:

  • Wi-Fi offload – we were surprised by this given the emphasis placed on this by NTT Docomo, China Mobile, AT&T, O2 and others;
  • Peering (vs. transit) and Enhanced switches  – this is surely business-as-usual for all MNOs;
  • Femto/Pico underlay – generally felt to be of limited importance by respondents although a few cited its importance in pushing network intelligence to the edge which would enable MNOs to more easily deliver differentiated QoS and more innovative retail and wholesale revenue models;
  • Physical network sharing – again, a surprising result given the keenness of the capital markets on this strategy. 

 

Overall, it appears that mobile network operators need to continue to invest resources in developing smart networks but that a clear prioritisation of efforts is needed given the multitude of ‘moving parts’ required to develop a smart network that will deliver a successful Happy Pipe strategy.

A successful Full-Service Telco 2.0 strategy is likely to be extremely profitable for a mobile network operator and would result in a substantial increase in share price.  But delivering this remains a major challenge and investors are sceptical.  Collaboration, experimentation and investment are important facets of a Telco 2.0 implementation strategy as they drive scale, learning and innovation respectively.  Given the demands of investors for dividend yields, investment is only likely to be available if an operator becomes more efficient, so implementing a Happy Pipe strategy which reduces capital and operating costs is critical.

 

Report Contents

 

  • Executive Summary
  • Mobile network operator challenges
  • The future could still be bright
  • Defining a ‘smart’ network
  • Understanding operator strategies
  • Video: Case study in delivering differentiation and cost leadership
  • The benefits of Smart on CROIC
  • Implementing a ‘smart’ strategy
  • Conclusions and recommendations

Report Figures

 

  • Figure 1: Pressure from all sides for operators
  • Figure 2: Vodafone historical dividend yield – from growth to income
  • Figure 3: Unimpressed capital markets and falling employment levels
  • Figure 4: Porter and Telco 2.0 competitive strategies
  • Figure 5: Defining Differentiation/Telco 2.0
  • Figure 6 – The Six Opportunity Areas – Approach, Typical Services and Examples
  • Figure 7: Defining Cost Leadership/Happy Pipe
  • Figure 8: Defining ‘smartness’
  • Figure 9: Telco 2.0 survey – Defining smartness
  • Figure 10: NTT’s smart content delivery system – a prelude to mobile CDNs?
  • Figure 11: Vodafone India’s ARPU levels are now below $4/month, illustrating the need for a ‘smart network’ approach
  • Figure 12: China Mobile’s WLAN strategy for coverage, capacity and cost control
  • Figure 13: GCash – Globe’s text-based payments service
  • Figure 14: PowerOn – SingTel’s on-demand business services
  • Figure 15: Telefonica’s Full-service Telco 2.0 strategy
  • Figure 16: Vodafone – main messages are about being an efficient data pipe
  • Figure 17: Collaboration with other operators key to smart services strategy
  • Figure 18: Verizon Wireless and Skype offering
  • Figure 19: Content delivery with and without a CDN
  • Figure 20: CDN benefits to consumers are substantial
  • Figure 21: Cash Returns on Invest Capital of different Telco 2.0 opportunity areas
  • Figure 22: The benefits of smart to a MNO are tangible and significant
  • Figure 23: Telco 2.0 Survey – benefits of smart to MNOs
  • Figure 24: Telco 2.0 survey – MNO chances of success with smart strategies
  • Figure 25: Telco 2.0 survey – lots of moving parts required for ‘smartness’
  • Figure 26: Telco 2.0 survey – Differentiation via smart services is particularly challenging
  • Figure 27: Telco 2.0 survey – Implementing changes is challenging
  • Figure 28: Telco 2.0 survey – Prioritising smart implementation activities