Social ROI: Dream or Reality

DrewCutThrulargeMy favorite part of being a social media professional is that it requires me to be social in the old-fashioned meaning of the word and in the process I get to meet and build relationships with really smart, interesting and talented people.  One of these individuals is Lakshmanan (Lux) Narayan the CEO of Unmetric, with whom I had the pleasure of meeting at our first “executive salon” called Social ROI: Dream or Reality.  Lux was kind enough to agree to be interviewed on the topic that hopefully will not end up being my Waterloo. I think you will find what Lux has to say about benchmarks, proxies and the elusive pursuit of direct ROI metrics quite enlightening.

Drew: What are the basic benchmarks, your company Unmetric proposes to big marketers to measure effectiveness of their social media activities?
The most fundamental measure, quite simply, is resonance. In an era where brands are publishers and markets are truly conversations (as the Cluetrain Manifesto proclaimed 14 years ago), every brand’s efforts on social media is really to resonate with the expectation of its existing and prospective customer base.

Various secondary metrics serve to qualify resonance – depending on the social network and the lens of purpose we’re looking through. For example, on Facebook, this could be qualified as resonance to a piece of micro-content a brand publishes on its Facebook page. In this case, engagement measured as a weighted function of likes, comments and shares would probably be the best surrogate for resonance.

In the Twitter ecosystem, and (say) through a customer service lens, this could be quantified as average reply time – towards resolving a customer question, or the number of times a brand needs to apologize. At Unmetric, we have a gamut of metrics for each platform – the metrics are idiosyncratic to the platform, and to the common marketing / customer service objectives it can address.

Drew: What sorts of brands are most likely to understand the nuances of social media and least likely to associate it with ROI?
I think brick and mortar and consumer brands that manage large mass media budgets would most likely ‘get it’ sooner than the rest. The reason is quite simple, really. These brands are used to a digital world where an online/mobile/digital sales transaction is rarely the final objective, simply because purchase for these brands is often in a retail store – quite distanced from the (possible) online experience that catalyzed it.

These brands have evolved from a world where attributing results to spends have always been a challenge (the classic “I know half my budget is working, but don’t know which half” comes to mind). Consumer brands are, with their mass media backgrounds, used to living with intermediate and indicative non dollar linked parameters being an objective.

For example, a TV campaign might have a stated objective of driving up unaided advertising awareness, and consequently, brand awareness and preference by a few points. Behind this objective is obviously some insight into a correlation model between awareness, preference and sales. To state the corollary – I’d expect brands that typically get or can aspire for an online transaction expect such transactions to be woven into an ROI model. These are brands that thrived in a Google Adwords defined transactional advertising world where dollar inputs are expected to translate into dollar (sales) outputs. E-commerce, services like airlines, travel and banking – all try and aspire for ROI rationale.

Drew: How would you describe your journey into the world of social and digital media metrics? 
I think it was an interesting mix of scratching ones itch, serendipity, and an evolution of sorts. I guess that begs for elaboration…

In the company I previously co-founded, a data backup software firm called Vembu, I was personally driving our sales and marketing initiatives. Like every other company at the time, we set up a Facebook page, a Twitter handle, and other social media outposts. And then…silence!

We ran out of things to say; after all, data backups were the tech equivalent of a root canal treatment, and how engaging can that be. I found myself poring through the social media efforts of other firms, most notably utilitarian technology product companies, to get a better sense of how they achieved resonance with their community. That experience was the initial seed for what became EyesAndFeet, a social media platform for small and local businesses. A year and some heartaches and a few serendipitous meetings later, we re-architected the platform to move from a small business focus to a focus on large businesses and brands. Those were the initial days of Unmetric.

On a related vein, I spend the better part of the 90s working at various media agencies in the Interpublic group. At the time my team would regularly publish Share of Voice / Spend competitive intelligence reports and try and garner insights from competitive activity on mass media. By the turn of the century, we were doing the same thing with brands’ websites as well. I see Unmetric’s role as akin to that – in social media, and therefore an evolution of sorts.

Drew: What is Unmetric’s greatest strength when providing social media insights to marketers?
That’s exactly it: insights! There is so much of data out there that it is quite easy to miss the forest for the trees. Unmetric’s role is in ferreting out those data nuggets that would otherwise have escaped a team’s attention – those needles in the haystack.

Besides this intelligent outlier analysis and insight mining, we also pride ourselves on two unique things that we do: one is in the area of campaign tracking whereby we recognize the multi-platform social media campaign as being the evolution of the classic multi-media mass media campaign, and try and capture this multi-platform dimension of competitive activity. The other very unique thing about us is the way we offer content intelligence – in a way that allows brands to hone their own content strategies and publishing calendars.

Drew: How easy or difficult is measuring “Social Media ROI” in today’s competitive landscape where every brand is social?
Crazily enough, quantifying ROI typically becomes less of a demand in a crowded and competitive scenario. Television advertising is a great example of this…

Most brands in crowded sectors are plugging in far more spots and spending a lot more than ROI and optimization would dictate. The reason is simple: competitive pressure. Brands are understandably uncomfortable with simply achieving their reach and effective frequency objectives in a scenario where a competitor is hugely out-shouting them. As a consequence, the conversation shifts from ROI to Share of Voice and attention, and benchmarking ones activity levels and efficacy against a brand’s peers. Exactly the same thing will happen, and is, in some ways, happening in social media.

Making the Most of Your Facebook Database

Jeff French, Founder and Chairman of Louddoor spoke at MediaPost’s recent Social Media Insider Summit way up in beautiful Lake Tahoe.  I thought he had a lot of really interesting things to say about social media data mining so I followed up with this interview.  Louddoor’s secret sauce is that they have a 50 million strong Facebook user database that gives them terrific insights into user behavior that marketers can then leverage–I think you’ll find what Jeff has to say quite enlightening.

DN: Give me the 10,000 foot view on Louddoor?
Louddoor is the leading market research and audience targeting Platform for brands and agencies on Facebook.

DN: Tell me a bit about your Facebook user database?
Our database is 100% opt-in and represents data shared by participants in our various market research studies.

DN: Have you all been able to calculate “value per like” and if so, how?
Yes. Value per Like is different for every Page on Facebook. To calculate what a fan is worth you have to establish a control group of similarly situated customers that are not fans and compare their behavior and spending habits to a statistically relevant sample of fans. It’s important to gather a full census of your fans. If you post in the newsfeed to recruit your panel you might as well throw the results in the trash can. Everyone knows that being a Fan on Facebook correlates to higher customer value but our goal is to isolate the causative effects of being a fan and that takes a well executed double blind study. This is the data marketers need to make more informed decisions. It’s not easy to get but it can be done if you have the right partner.

DN: Why is value per like such an important metric?
Its one of many important metrics but having a Value Per Like benchmark can help a brand marketer spend on Facebook with more confidence. When you know what a fan is worth you can make better decisions all around. We’re also in the nascent stages of constructing regression analysis to better understand long term fan value. Everyday we learn something new that gives brand marketers and their agencies more confidence in Facebook Advertising.

DN: You did some interesting user modeling for Hornitos uncovering “mudders” as a passion—tell me about that process?
We conducted a detailed market research study where we surveyed over 25,000 Facebook users about their tequila consumption habits. We found an incredibly strong correlation between users who frequently drink tequila straight (shots, neat, rocks) and the various “mud race” events like Spartan Race and Tough Mudder. We used these findings to target the “mud race” audience for future activations and were able to deliver outstanding results for the client.

DN: How do you allay Facebook user concerns about privacy given all the data you’ve gathered?
First, we never share any personally identifiable user data with anyone (including our clients). We clearly disclose to our users that the data provided on our Platform will be used on an anonymous basis to construct better ad targeting and analytics algoritms for use on Facebook. Users understand that ads keep Facebook free and when you get right down to it they want these ads to be more relevant to them. Mark Zuckerberg himself puts the user experience on Facebook in front of everything else. We believe strongly that our research is improving the Facebook user experience for brands and consumers by creating more relevant ads. It’s a true win-win and we’ve never had a single user complaint regarding a privacy issue.

DN: Can you share another example of how you’ve helped marketers by analyzing Facebook data?
Audience Segmentation is a hot topic right now for our clients. Facebook recently released new functionality to let brands better target posts in their fans’ newsfeed but we are going far beyond these capabilities and using Facebook Sponsored Stories to deliver the right message to the right fan at the right time with laser precision. For example, most brands have customers that respond for different reasons. Some may be more influenced by product quality while others are discount motivated. We are able to slice a client’s fan base with this level of granularity and when we deliver relevant sponsored stories powered by this data the results are simply incredible. We are literally seeing engagement results 5-10X greater than un-targeted sponsor story units. You can’t spend engagement but it’s the first step towards driving sales and measurable results.