Customer experience management framework: how to retain subscribers and improve customer loyalty
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1 Research Report Customer experience management framework: how to retain subscribers and improve customer loyalty April 2013 Patrick Kelly and Anil Rao
2 2 Contents [1] Slide no. 5. Executive summary 6. What is customer experience management? 7. Customers and suppliers perceptions of the customer experience may not align, and ecosystem complexity makes it difficult to assess 8. The customer lifecycle journey comprises five phases, but long-term relationships are influenced by the join, on-board and support phases 9. NPS is a leading indicator of customer churn and profitability 10. NPS is an indicator and does not tell the entire story 11. Churn rates in Western Europe have not improved during the past 3 years and average 25% annually 12. Measuring and then managing improvements for each customer interaction yields higher customer satisfaction 13. Software systems must be aligned to improvements in the customer experience 14. Key software components are used to improve the customer experience 15. Market drivers 16. Factors contributing to churn in the mobile market 17. Consumers loyalty is driven by their own experience and influenced by friends and family 18. Generational groups communicate differently 19. CSPs can apply best-practice methods by collaborating with their key suppliers in each of the five phases of the CEM lifecycle 20. Efforts to improve the customer experience should focus on five principles Slide no. 21. Business environment 22. The join process focuses on new or add-on services 23. Multi-channel marketing, sales and service, integrated with self-care support, bring large benefits 24. The on-board process focuses on service fulfilment activities 25. The on-board process also involves billing and account management activities 26. The support process focuses on call centres and operations 27. A direct correlation can be drawn between customer satisfaction and the quality of service that the network is able to deliver 28. Use case studies 29. Market maturity model of CEM deployments 30. Join 31. Use case: Telefónica in Argentina uses Alcatel-Lucent Motive to simplify activation and management of complex residential broadband services 32. Use case: Telekom Malaysia delivers high-speed broadband services using out-of-the-box OSS/BSS 33. Use case: Belgacom uses improved order processing techniques to improve customer experience 34. On-board 35. Use case: Orange România uses a USSD-based customer self-care solution to deliver better on boarding processes 36. Use case: Brasil Telecom improves its service provisioning cycle time by rationalising systems and processes
3 3 Contents [2] Slide no. 37. Support 38. Use case: a European mobile operator made annual cost savings of EUR5 million in first-call resolution 39. Use case: Sprint s mobile self-service system aims for seamless integration and handoff across customer touchpoints 40. Use case: U.S. Cellular links network quality of service to customer satisfaction and employee performance 41. Use case: Vodacom uses Genesys Social Engagement Software to manage growing social media presence 42. Use case: TDC (an MVNO) in Denmark gains a unified view of the service usage and profitability of its fixed mobile business customers 43. Use case: EITC (du) uses emotional signature to better understand the causes of low NPS 44. Use case: Belgacom uses a robust change management programme to deliver a better customer experience 45. Use case: UPC cablecom improves NPS and reduces churn by improving operational processes at each customer touchpoint Slide no. 46. Vendor analysis 47. Vendor rating criteria 48. Vendor capabilities [1] 49. Vendor capabilities [2] 50. Vendor capabilities [3] 51. Recommendations 52. Recommendations for CSPs 53. About the authors and Analysys Mason 54. About the authors 55. About Analysys Mason 56. Research from Analysys Mason 57. Consulting from Analysys Mason
4 4 List of figures Figure 1: The complexity of the customer experience ecosystem Figure 2: Activities in the customer lifecycle Figure 3: The customer lifecycle Figure 4: Experiences that increase or decrease Net Promoter Score Figure 5: Indicative range of NPS by industry sector Figure 6: Subscriber churn rate by operator, Germany, 1Q Q 2012 Figure 7: Subscriber churn rate by operator, Spain, 1Q Q 2012 Figure 8: Subscriber churn rate by operator, UK, 1Q Q 2012 Figure 9: Methodology for managing the customer experience Figure 10: Obstacles to a positive customer experience Figure 11: CEM touchpoints mapped to Analysys Mason s software market taxonomy Figure 12: Key factors other than price that drive respondents to want to change network provider in the next 6 months, by device type Figure 13: Indicative NPS by company Figure 14: Customer preference (indicative) for sales and support communication channels by generation Figure 15: Customer experience management lifecycle Figure 16: Five key principles of improving the customer experience Figure 17: Overall customer self-service as part of a multi-channel architecture Figure 18: Order management and activation systems Figure 19: Revenue management deployment scenario Figure 20: Call centre and operational deployment scenario Figure 21: Voice and data services and the customer impact based on exceeding network delay values Figure 22: Types of CEM implementation Figure 23a: Supplier rating of product and service expertise by software segment Figure 23b: Supplier rating of product and service expertise by software segment Figure 23c: Supplier rating of product and service expertise by software segment
5 7 Customers and suppliers perceptions of the customer experience may not align, and ecosystem complexity makes it difficult to assess NPS and internal benchmarking indices can improve how CSP employees interact with customers. Figure 1: The complexity of the customer experience ecosystem [Source: Analysys Mason, 2013] Customer experience measurement can be divided into two broad categories. Outside-in: NPS and customer satisfaction surveys measure and report customers perception of products and services. Such KPIs are indicators of propensity to churn and the influences customers have on others to join or leave. Inside-out: Examples include order-to-provision, firstcontact resolution, long-tail re-callers (for example, more than three calls) and churn-rate metrics. Customers form perceptions when they interact with employees, IT systems and services at different lifecycle phases, including: commitment phase order-to-fulfilment process self-service and multi-channel customer interaction accuracy of bill quality of service availability of service. Over-the-top (OTT) providers Communications service providers (CSPs) Mobile device manufacturers Retail distributors and partners
6 12 Measuring and then managing improvements for each customer interaction yields higher customer satisfaction Figure 9: Methodology for managing the customer experience [Source: Analysys Mason, 2013] CEM touchpoints CEM processes Join Product and service availability at the advertised price delivered on time Ordering process Order not fulfilled Activation process Ready to activate On-board Billing process and training Activation failed Product failure and/or service disruption Cancel service order Support Product replacement and/or problem resolution
7 53 Executive summary Market drivers Business environment Use case studies Vendor analysis Recommendations About the authors and Analysys Mason
8 54 About the authors Patrick Kelly (Research Director) sets the direction for Analysys Mason s Telecoms Software research stream, which focuses on identifying the rapidly growing segments in the telecoms software market and providing forecast and market share data by region and service type. He has produced research on policy management, cloud computing, LTE and mobile backhaul, IP next-generation service assurance, and customer experience management. Patrick is a frequent speaker at industry and user group conferences. He holds a BSc from the University of Vermont, and an MBA from Plymouth College. Anil Rao (Analyst) is a member of Analysys Mason s Telecoms Software research team, focusing on the Service Assurance, Infrastructure Solutions, Service Delivery Platforms and Telecoms Software Strategies 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 He holds a BEng in Computer Science from the University of Mysore, and an MBA from Lancaster University Management School.
9 55 About Analysys Mason Knowing what s 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 specialist knowledge of our people, is what sets Analysys Mason apart. We deliver our key services via two channels: consulting and research. 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 tangible results for clients around the world. For more information, please visit 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 in addition 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
10 56 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. Alongside our standardised suite of research programmes, our Custom Research team 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
11 57 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. 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
12 Published by Analysys Mason Limited Bush House North West Wing Aldwych London WC2B 4PJ UK Tel: +44 (0) Fax: +44 (0) Registered in England No All rights reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means electronic, 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 clientspecific 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.
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