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Barak Libai lecture WIM UK April 2010

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Professor Barak Libai of Tel Aviv University looks at the latest research into the value and ROI of consumer WOM.

Professor Barak Libai of Tel Aviv University looks at the latest research into the value and ROI of consumer WOM.

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  • Nice expansion on the presentation given at M2C. Thanks to Dr. Libai and to WOM UK for posting.
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Barak Libai lecture WIM UK April 2010 Barak Libai lecture WIM UK April 2010 Presentation Transcript

  • ASSESSING THE VALUE OF CUSTOMERS’ WORD–OF–MOUTH Prof. Barak Libai Tel Aviv University WOM UK , London, April 2010 Prof. Barak Libai 1
  • By 2010, most mangers are informed about the power of customer word of mouth
  • We also know that assessing the economic contribution of word of mouth is critical  Understanding the real value of customers What is the “social value” of a ?person Prof. Barak Libai
  • Understanding the real value of advertising Prof. Barak Libai 4
  •  Planning and valuing WOM campaigns  E.g., should we target “influentials”? • Valuing investments in social networks and social media in general Prof. Barak Libai 5
  • Yet for many, the way WOM turns into ROI stays a mystery Prof. Barak Libai
  • Here are I will argue that:  The issue is not trivial. No “one number” or “one equation” you need to know  We need to “speak CRM”. The WOM value measure (“social value”) should be monetary: The effect on the value of the cash flows from other customers  We need to see the larger network. Because word of mouth creates a complex effect, its impact should take into account the larger social system, and not only close neighbors  We want to understand the value of time.  Early is often MUCH better. Prof. Barak Libai
  • The value a customer brings us via WOM Current Approaches  Indirect measures  do no assess monetary value  Direct aggregate measures  Measures for a “social value” of a customer Prof. Barak Libai 8
  • Indirect measures A) How do customers talk?  Or are willing to recommend?  E.g, Net Promoter Scores Prof. Barak Libai 9
  • Conclusions are not straightforward Keiningham, B Cooil, TW Andreassen, L Aksoy - Journal of Marketing, 2007 Prof. Barak Libai 10
  • B) How do customers listen?  How did you hear of us? How much were you affected by word of mouth?  Possibly used with brand equity measures  Recent research found that the long term value of customers that had arrived via WOM was higher than that of customers that had arrived via advertising. Prof. Barak Libai 11
  • Direct “aggregate” measures How word of mouth affects overall sales  Experiments  Before and after a WOM campaigns  In different areas Prof. Barak Libai 12
  •  Advanced statistical regressions  Especially as data on sales, WOM activities and other customer data is available from websites  Issues of “identification”:  For example, WOM may be affected by advertising which may affect the level of WOM  People may behave the same because there are similar, or were affected by the same external phenomenon, and not because they talked Prof. Barak Libai 13
  • The problems with the previous approaches  We still do not understand the “how” in terms of value creation  Monetary value of the individual is not assessed Prof. Barak Libai 14
  • The “social value” of a customer  The extra monetary value a customer adds (or subtracts) to the firm due to social interactions with others  Three issues to be discussed: Lifetime Value, Network, Time Prof. Barak Libai
  • Issue 1: “where the money is”? Prof. Barak Libai 16
  • The “regular” profitability of customers  Customer Lifetime Value (CLV) - the net present value (NPV) of the future cash streams from a customer Time $ $ $ $ $ Prof. Barak Libai 17
  • The money that comes from a customer’s word of mouth is in other customers’ regular lifetime value! $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ Prof. Barak Libai 18
  • Where’s the money?  Often, we consider the social effect of in acquiring new customers  What is their lifetime value?  Do friends have a similar lifetime value?  But it can also be an issue of costs  E.g., via reduced customer support in online communities  A case of customer “development”- cross sell or up-sell  Or affecting the probability of customer defection  The effect of retention (defection) on customer lifetime value is very strong! Prof. Barak Libai 19
  • Reichheld: The Loyalty Effect
  • Recent research in the telecommunication industry Exposure to Defecting Neighbors - Defecting and Non-Defecting Customers Defectors Non-Defectors 0.4 Average number of defecting neighbors 0.35 0.3 0.25 0.2 0.15 0.1 0.05 0 Mar08 Apr08 May08 Jun08 Jul08 Aug08 Sep08 Oct08 Nov08 Dec08 Month ‫שיווק בתקשורת חברתית- פרופ' ברק ליבאי‬ 21
  • How the social effect of a defection decreases with time Prof. Barak Libai 22
  • It can also be mere acceleration of cash flows  “Discount rate” plays a large role in customer lifetime value  A customer starting to buy today may be worth much more than a customer starting to buy later $ $ $ $ $ $ $ $ $ $ Prof. Barak Libai 23
  • My conclusion on this issue  The same way that CRM people start “talking social”  Social people should start “talking CRM” Prof. Barak Libai 24
  • Issue 2: Where is the network? Prof. Barak Libai 25
  • The complexity of calculating person A’s social value D A B C  Is it the “lifetime value” of the people s/he affected? Prof. Barak Libai
  • The complexity of calculating person A’s social value D A B C  How many of them could we get via advertising?  If this is the case, we should look only at savings in advertising expenses Prof. Barak Libai
  • The complexity of calculating person A’s social value D A B C  Person A ’s word of mouth may create a “chain effect” beyond the neighbors Prof. Barak Libai
  • The complexity of calculating person A’s social value D A B C  If A would not talk with B, C may do it in a later time  Is social value about “customer acquisition” or “customer acceleration”? Prof. Barak Libai
  • The complexity of calculating person A’s social value D A B C  Can we add the social value of A and B ? Prof. Barak Libai
  • Conceptually, the real social value of a customer (or a group of customers) can be assessed only if we  Let the customer disappear  And measure the change of the net present value of the whole social system Prof. Barak Libai
  • Can it really be calculated?  We are working on it !  I’ll next present a possible approach. Prof. Barak Libai
  • Stage A- Collect data on real social networks Prof. Barak Libai
  • Stage b: Based on these networks create simple simulations in which products are sold to connected customers  For example: what would happen if a new product would begin to grow on such networks  Individual level simulations in which a “would-be-world” is created are sometimes called agent based models Prof. Barak Libai
  • Stage 3: Conduct experiments  What is the profitability (NPV) of the system  If person A is there, or is not there  If we target “influentials” or random customers  If competition is strong or not Prof. Barak Libai
  • In the absence of tools such as agent based models  Try to better understand social network analysis Prof. Barak Libai 36 ‫שיווק בתקשורת חברתית- פרופ ' ברק ליבאי‬ 4
  • Who is important to us? •Degree Centrality -the number of direct connections a node has •A node with high degree centrality is a “Hub” •We can also differentiate between in and out degree •Eigenvector centrality – Gives weights to the centrality of the nodes that are direct connection ( the “degree”) •Google’s “PageRank” is a variation on this •Closeness centrality – the sum of shortest paths to all others •The shorter the better •Betweenness Centrality - How many shortest paths between others pass through that person Prof. Barak Libai 37
  • Issue 3: The Value of Time ? Prof. Barak Libai 38
  •  My (and others’) research has repeatedly indicated that being early in the market has long lasting effects due to word of mouth Prof. Barak Libai 39
  • VALUE OF ONE LOST CUSTOMER IN THE ONLINE BANKING INDUSTRY 700 WOM 600 500 ) $ 400 ( Indirect effect s s o 300 direct effect L 200 100 0 Regular 0 1 2 3 4 5 6 7 8 9 10 purchases Year Since Introduction Prof. Barak Libai 40
  • Some recent results on the social value of WOM “seeding” programs  Using agent based models based on 12 real networks  WOM programs create a real pioneering advantage among competitors. The social value of a program can be five time as much when a competitor does not have a program  It is very worthwhile to be first, and alone! Prof. Barak Libai
  • Thank you !  Questions? libai@post.tau.ac.il Prof. Barak Libai 42
  • How much value a customer creates via word of mouth?  What is “value”?  Even before that: What is “word of mouth”? Prof. Barak Libai 43
  • The classic view of “word of mouth” Prof. Barak Libai 44
  • Online or Offline?  The vast majority of recent knowledge on social interactions comes from online environments  Yet much of the action may still be offline Source: The Chat/Blog, 1% IM/Text, 3% Other, 2% Keller Fay group E-mail, 3% Phone, 17% Face-to-Face, 73% Prof. Barak Libai 45 Source: OMD/Keller Fay Group proprietary report based on TalkTrack®, June 5th 2006 through February 3, 2008
  • “Organic” or “Amplified”?  Can we transfer knowledge from firm incentivized campaigns to “natural” word of mouth ? Kumar, Petersen and Leone, HBR 2007 Prof. Barak Libai 46
  • What about “observational learning?”  We may be seriously under-estimating the value of social interactions! Prof. Barak Libai 47
  • I use the term “word of mouth” (WOM)  But the issues covered largely include various kinds of social interactions Prof. Barak Libai 48