Social Media and Social Eating

Somewhere in the middle of a Dim Sum eating frenzy last Sunday at Rol San in Chinatown, my friend Elliot pointed out that five of our group of seven sitting around the table worked in marketing. Despite the fact that marketers can be creative and some in our group of seven are rather artistic, we’re nothing at all like Canada’s renowned Group of Seven painters. After our efforts last Sunday though, I’d say we are a group of seven skilled in the art of social eating.

Elliot’s comments came during a discussion about how a certain academic institution appeared to be measuring the success of a controversial event they had publicized through their website and social media.  In response to criticism of this event, they pointed to their number of subscribers, as if that somehow indicated a level of support for their controversial point of view.

Of course, just being a subscriber doesn’t automatically imply agreement with every point of view expressed. In this case, the number of subscribers was irrelevant. It would be more relevant to know the ratio of subscribers for vs. against the event taking place, and/or the point of view being presented.

Around the table we began discussing how to measure social media and quickly agreed that volume or Activity metrics aren’t as relevant as metrics that track customer Engagement. Even more important to track is a third group called Conversion metrics. To illustrate, let’s look at these three types of metrics in the context of measuring social media and also our customer experience at Rol San.

Activity Metrics

  • Social Media: Examples include number of subscribers, followers, followers/following ratio, tweets, fans, and links clicked. You can get a sense of what people are doing, but less about why or how they’re feeling.
  • Dim Sum Customer Experience: Examples include the total plates ordered, the average items eaten per person, and the average revenue per person. These metrics would tell Rol San how much we ate, but they wouldn’t know whether we were satisfied customers.

It is generally more relevant to look at:

Engagement Metrics

  • Social Media: Examples include forwards, mentions, likes, comments, retweets and the sentiment of comments, tweets and blog posts. These types of metrics can provide more insights into what your customers are thinking and feeling about your brands and marketing programs.
  • Dim Sum Customer Experience: Rol San might want to know if that second order we placed repeated any items from our first order. (It was hard to tell amidst the flurry of plates and chopsticks.) Did anyone tweet or blog about our meal, or post a review somewhere? Were the comments or reviews positive or negative? Are the people who posted comments influential with the right audience?

It can be hard to tell what customers think and whether they are truly satisfied. That’s why so many eating establishments include a customer satisfaction survey with your bill. Many of these direct you to a website to give your feedback, which can then be linked to your transaction (what you ordered, your server’s name, etc.) to help round out the customer experience picture.

Still, engagement metrics and customer satisfaction scores have their limits. What customers say can often be different from what they actually do. Attitudes and opinions can help to predict behaviour, but all that investors, shareholders and bankers really care about is profitable customer behaviour, and how that behaviour converts into value for the business.

Conversion Metrics

  • Social Media: The greatest Conversion metrics of all are revenue and profit. Other examples include qualified leads generated, content downloads, registrations, reservations and orders; basically anything that might track key steps in acquiring, keeping and cultivating profitable customers.
  • Dim Sum Customer Experience: Rol San should care about whether we come back as a group, or individually with more friends, and whether we recommend to others to dine there. In a retail business, these metrics can be hard to track, which is one of the reasons loyalty and viral marketing programs exist, to both incent and track profitable customer behaviour. It’s also why hosts or greeters sometimes ask “Is this your first time here?” or “How did you hear about us?”

I can’t speak for the others in our Group of Seven Social Eaters (G7SE?), but I think I will probably return to Rol San someday.  How’s that for mildly positive sentiment and uncertain repurchase intent? Rol San could invest a lot of money trying to predict my behaviour, but even I can’t predict what I’m going to do. They’d be better off tracking what I actually end up doing.

Conversion metrics are the most important metrics to track and they should be more heavily weighted on your scorecard. At the same time, don’t ignore Activity and Engagement metrics, as they are predictors of conversion. They can help you to identify where programs are succeeding and failing in creating the customer behaviour that leads to profits.

Why am I hungry?

Return On Corona

My friend Dan was in town recently.  Our friendship goes back to our university days at McGill, which is another way of saying we’ve known each other for a very long time.  Of course, we’ve both aged quite gracefully.  We get together when we can, and when Dan had to be in town for meetings a couple of weeks ago, we made plans for Saturday night.

Dan and I decided to get caught up while watching a rare live performance of their Paul McCartney tribute called ‘Getting Better’ by my musician friends, The Weber Brothers.  The guys delivered a great performance, as always, with a set list that included ‘Yesterday’, ‘Let It Be’ and ‘Maybe I’m Amazed‘.  I was also thankful that Ryan and Sam Weber chose not to perform ‘Silly Love Songs’.

Whenever we get together, Dan and I usually pass some of our time updating each other on our business endeavours.  I always enjoy hearing Dan’s perspective and he usually asks great questions that help me to focus on the right issues.

As we discussed my marketing measurement work, Dan questioned whether I measure Return On Investment (ROI), which is a natural question and one I’m commonly asked.  My answer went something like this.

As we sat at the bar, I looked down at the clear glass bottle in my right hand.  I said, “Let’s use my Corona as an example.  I don’t remember what marketing program caused me to try it years ago for the first time, I can’t tell you why it’s among the half dozen or so brands that I tend to order, and I don’t know what caused me to order it tonight.”

Corona

Let’s suppose Molson-Coors made $0.50 profit on the sale of my one bottle.  To calculate the ROI on their marketing for this transaction, they’d have to understand which marketing investments influenced my buying decision, and by how much.  Here are some thoughts on their marketing programs that I can recall:

  • I know I like watching their commercials
  • I’m sure I’ve seen several print ads, and the image of their clear glass bottle sparkling in the sun and a wedge of lime lingers in my mind
  • Not too long ago, I noticed a contest to win a bar fridge
  • I remember a great poolside bar promotion while vacationing at an all-inclusive a few years back that likely still influences my purchases.

Those are the ones I can recall, but I’m sure there are others I don’t remember that have influenced me.  Here’s where calculating ROI gets more complicated.

  • I have no idea which of these marketing investments influenced me most, or least, nor how much of the $0.50 profit to attribute to each.
  • I can’t begin to consider how to account for the combined impact of all those marketing investments that somehow accumulate within me over the years to influence my buying decisions.

The key point is, if I can’t do the profit allocation for my own buying decision, even if Molson-Coors could somehow get inside my head and have a good look around (it wouldn’t take long…) they wouldn’t figure it out either. To further complicate things, all their other customers each have their own influences and reasons for buying.

We humans each make our own very complex buying decisions, often influenced by factors outside the marketers’ control, in ways we may not consciously understand.  It’s extremely difficult and costly to isolate all the variables involved to truly and accurately measure financial return on investment of marketing spending. We end up having to make too many assumptions, or guesses at allocations.

However, this doesn’t mean we shouldn’t measure something.  Instead of ROI, I focus on measuring how effective marketing is at meeting objectives, using metrics that involve as few assumptions as possible.  Here are a few thoughts on metrics:

  • Rather than trying to focus on one killer metric, like ROI, select a group of metrics that together give you a balanced view of whether a specific marketing program drove value in your business.
  • Assemble your various metrics in a scorecard that allows you to evaluate each metric against its objectives.
  • Decide which metrics you want to use before you launch your marketing program in case you need to gather data while the program is in market.
  • Just because I’m letting you off the hook on measuring ROI, it doesn’t mean you should ignore financial metrics.  Your scorecard should definitely include financial metrics, such as revenue, and average transaction value, which tends to be a good indicator of profit.

I’m not comfortable making decisions or recommendations supported by numbers that are based on a lot of assumptions or guesses.  Build your marketing measurement process on as many facts and clean data as you can find.

Oh, and one more thought.  My Return On Corona (ROC) a couple of Saturdays ago was exceptional, given my objectives to hang out with a great friend and to be entertained by talented musicians!