Getting to the heart of WOM ROI

By Rajeev Talwar

In keeping with our ‘celebrating our staff’ brithday week, we’re handing over today’s post to one of our team you haven’t yet heard from: Rajeev Talwar, our rather fantastic Head of Social CRM, who is going to update us on the latest in WOM measurement and ROI… ^Molls

Image credit: www.flickr.com/photos/cambodia4kidsorg/

This week I’ve been reading a timely article from McKinsey about WOM measurement which includes some interesting statistics. The article introduces the concept of ‘WOM equity’ which is described as ‘an index of a brand’s power to generate messages that influence the consumer’s decision to purchase’, and which is represented as the number of WOM messages multiplied by the average sales impact.

I’ve extrapolated six key points from the study which I think are most helpful:

  1. Word of mouth is the primary factor behind 20-50% of all purchasing decisions and its influence is greatest when consumers are buying a product for the first time or when products are relatively expensive.
  2. A high-impact recommendation—from a trusted friend conveying a relevant message, for example—is up to 50 times more likely to trigger a purchase than a low-impact recommendation.
  3. About 8-10% of consumers are ‘influentials’. Influentials typically generate three times more word-of-mouth messages than non-influentials do, and each message has four times more impact on a recipient’s purchasing decision.
  4. Typically, messages passed within tight, trusted networks have less reach but greater impact than those circulated through dispersed communities.
  5. To turn consumers into an effective marketing vehicle (yuck), companies need to outperform on product and service attributes that have intrinsic word-of-mouth potential.
  6. Marketing induced consumer-to-consumer word of mouth generates more than twice the sales of paid advertising.

That’s pretty strong stuff, enough to make any brand owner sit up and take notice.

I was also glad to see that Miele gets a mention as one of the companies that generate successful buzz around new product launches. Having worked with Miele since 2008 we feel that they really do deserve props for the work they do.

However, although the above stats are great, I feel that we cannot use a single metric across all markets. And like may WOM studies, the article is heavily focussed towards an FMCG scenario and does not take into account other B2B or B2C scenarios.

So what are we doing to improve WOM measurement? Well, we’re currently working on a new ROI model.

Our Insights Manager Jacqui Hill explains that “the ROI model 1000heads is testing will give our clients a monetary figure representative of the value inherent in stimulating advocacy among consumers in the online environment. It will assign a pound sign to every single conversation we capture - and that value will be adjusted for sentiment, influence, trust, audience, reach and significantly, the heightened potential for long-term damage associated with detractor negativity.

1000heads’ research has established the ultimate value of a conversation to be based on the number of people who will take the intended action upon engaging with social media content. Without going into too much detail – X amount of consumers read a highly positive blog post about brand A, Y amount of consumers go out and actually buy one of Brand A’s products.

This will enable our clients to not only assess the return on their social media marketing activities and consumer engagement, but to refine their strategy, targeting resources at engaging communities/voices who offer the highest return on investment.

We’re currently testing the model across all of our clients’ online conversations and will formally introduce it once testing is complete.”

In other words? Watch this space!

  • Thanks Rajeev, does sound like an interesting model, but not sure you've actually addressed any of my questions?
  • RajeevTalwar
    Hey Andrew,
    Apologies for not getting back to you sooner. We were at the zoo !! :). Sorry if my answer was a bit vague, but we are in the process of testing/tweaking our model and I feel it would be premature at this point to give out any more information. Nevertheless, the points that you have raised about sentiment inaccuracy and off-line influence are absolutely valid and must be considered. I will let you know as soon as Jacqui and her team have cracked this.
  • Certainly interested to see where this leads. If you crack the algorithm you're talking about you'll probably hold the the holy grail for digital social marketing - good luck to you.

    Just a couple of things spring to mind:

    1. How are you planning to deal with the massive levels of inaccuracy you get surrounding sentiment (I'm hearing 55% is golden number atm?)

    2. How are you going to deal with situations where users get there initial engagement with a brand via social media activity but then proceed offline and are influenced (perhaps to the point of sale) by other forms of marketing such as poster or POS materials - if they end up purchasing in-store and not on line as a direct response to social media messaging then surely this becomes and even bigger problem?

    3. What if "taking the intended action" is simply staring at the company logo for a few seconds i.e brand awareness building - there is a value in that sort of marketing but be interested to find out how you are going to work out what it is.

    Follow me: http://bit.ly/AndrewTwitterProfileB

    Good luck!
  • Andyjohnmurphy
    As a more basic question, i'll be interested to see how you guys figure out information such as traffic figures for the sites you are engaging with knowing that none of the main services such as Alexa are particularly accurate, and most sites don't give away that information. It seems to me that the model you're talking about creating, and the ultimate algorithm, would rely heavily on that information...?
  • RajeevTalwar
    Thanks Andrew - we feel that the relationship with the customer should not end once a product is bought but should actually grow stronger till the point that the customer actually then becomes and evangelist for the product. We are also working on a Social CRM initiative that will actually look at traditional CRM (transactional, warranty, service...etc) data and merge that with WOM and social media data to build advocacy and gain insight. Stay tuned.
  • Love this! Congrats guys - awesome, awesome work!
  • RajeevTalwar
    Thanks Scott - glad you liked it.
  • Rajeev
    Thanks for extracting key points from the report. I think relevance and influencer go together and you hinted on that a lot when you say 'relevant message from..', 'tight, trusted network'...which is good because that's what social media is all about: a network of niche dynamic networks where relevance is key.
    I'm really interested into your model. I don't know if you're willing to share more. I think targeting the right voices in the network of networks is critical and should lead to greater return if done well. For example a beauty brand with a new line of skin care products should find the beauty blogs that are talking often about skin care and work with those first.
  • RajeevTalwar
    Thanks Laurent - targeting the right networks and voices seems obvious doesn't it ? :) We are in the process of defining and testing our model. Watch this space
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