Tag Archives: Best Practices

Recap: The Future of Consumer Intelligence 2014

Imagine a line drawn in the sand that is filled with hot
burning coals. To the left of the burning line stands
a group of people. And to the right of the burning line stands another group of people. The
group of people on the left are all directly facing the burning line drawn in the
sand and are staring at the opposing group. The group on the right are also all facing
the burning line drawn in the sand, staring directly at the group on the left.
The burning line drawn in the sand represents trust. The
group of people on the left believe they are entitled to the right group’s
trust because they are trying to help them. The group on the right believes
trust is earned and will not easily give it to the group on the left. The tug of
war between the two groups over trust causes friction and creates the burning
line drawn in the sand that neither can cross without the right tools.
The above scenario is analogous to what was presented at the
recent 2014 Future of Consumer Intelligence conference (#FOCI14). The group to the left was Big Business, the group to the right was the Public and we as
attendees were willing and able to sit right on the burning line drawn in the sand and
discuss how to bridge the gap between groups.

BIG DATA VS. BIG PRIVACY

As marketers and researchers we love to collect lots of data
with the intention of using personal information to improve products, services,
and lives. But at what point is it considered invasion of privacy? Do consumers
really know how their data is being used, regardless of whatever they agreed
to? At FOCI14 it was made evident that as marketers and researchers, we teeter
on the brink of ‘Empowerment vs. Endagerment’. The path to maintaining the
balance and bridging the gap on the subject of data between Big Business and
the Public was made evident: provide clear, concise rules and guidelines for
how consumer data is used that moves past legality and into the territory of
morality.
MARKETING SCIENCE VS. PEOPLE
Clearly our industry is at a point of disruptive innovation as
new technologies and methodologies allow researchers to get a clearer picture
of consumer insights. But who are behind all of these insights? That’s right,
people. In our industry we label people as consumers, customers, shoppers,
respondents, target markets and more. But remember that behind all of our
studies are people. And sometimes we can act as a barricade between companies,
their brands, and their consumers in an attempt to remain unbiased and objective. So how do we
bridge the gap?
For starters, John Havens, Founder of The H(app)athon Project, suggests we
can begin by switching out the label ‘consumer’ with ‘customer’. Whereas Elizabeth
Merrick, Senior Customer Insights Manager of HSN suggests we consider research
as another touch point of the brand, ‘We should allow customers to contribute
to a brand, not just consume it.’
So it appears the segue between marketing science and people
is essentially personal treatment and recognizing that customers are more than
a data point within a spreadsheet.

From John Havens, The H(app)athon Project
TECHNOLOGY VS. HUMANIZATION OF DATA
The more I thought about it, FOCI14′s tagline of The Convergence of Technology, Marketing
Science & Humanization of Data seemed unintentionally (or perhaps intentionally) dichotomous where both Big Business and the Public were descending upon the line drawn in the sand. So
it goes with technology & humanization.
There is no doubt that technology improves lives at
blistering speeds. Ray Kurzweil, Director of Engineering for Google pointed
out that, ‘Information Technology expands exponentially across time, not
linearly.’ But as we become more technologically advanced, do we lose a piece
of our humanity and our identity?
As we discussed more and more about the subjects of technological advances, psychological
habits, triggers, and touch points at FOCI14, it seemed the key to closing the
gap between technology & humanization of data relied upon engagement. If new
technologies enable to us to engage with customers in a more meaningful way and
people are able to build stronger psychological connections with each other,
then the gap is bridged. If on the other
hand, the research community were to stand disengaged with customers and people, then technology & humanization in
the field will stand diametrically opposed on a bridge that is about to
collapse.
So the real question in all of this is, ‘Has your
organization bridged the line drawn in the sand’?

Tom Krause, VP of Client Services, Gongos Research
“It’s all about people”
Chris Ruby is an award-winning Marketing Research & Consumer Insights Executive with Fortune 500 consulting experience. His niche is the ability to turn complex data into compelling stories that induce a call for action among key decision-makers. His work has been featured by MRA, MRIA, IIR, Norstat Times, Chadwick Martin Bailey & the Optimization Group. Keep up with Chris Ruby by following him on Twitter @ChrisRubyMRX or by reading the Chris Ruby Market Research Blog.

The Best Time To Post On Social Media is…?

We’ve all been there before. We are about to post across Social Media (SM) and that foreboding question finally hits us. ‘When is the best time and day to post on SM’? I mean, we want as many relevant (maybe even irrelevant) people to see our postings and content, right?

This ever evolving digital social process is called ‘The Science of Timing’ (SOT).  If we get it right, everyone lives happily ever after.  If we get it wrong, no one gives us a second thought.

The “Science of Timing” predicts the optimal time to post on Social Media

SOT (a.k.a. the optimal time to post) revolves around 5 different paradigms and approaches otherwise known as: The Common Sense Approach, The Segmentation Approach, The Best Practices Approach, The Auto Scheduling Approach, and the Contracompetitive Timing Approach.

Huh?  Keep reading.

The Common Sense Approach is based on an intuitive sense of when people would or would not be on SM. For example, when people are asleep, at work, or at school, they are probably less likely to interact with SM. Whereas, if people are awake and the timing is before, after, or outside of work or school, their likelihood to use SM increases on average.

The Segmentation Approach involves timing based on the SM habits of your targeted audience, which coincidentally, you’ve collected over time. For example, if you and your organization are targeting teenage gamers during the upcoming summer, you’ve likely monitored their SM patterns over time, and will run a campaign based on the SM idiosyncrasies they’ve displayed. In all likelihood, their SM behavior will be different when compared to the entire online population as a whole.  Hence, the Segmentation Approach.

In contrast, The Best Practices Approach is based on how the entire SM audience acts as a whole and provides optimal timings based on aggregate online behavior.  You can think of it in terms of talking at a cocktail party, where there is a lot of chatter at its peak attendance point.

The optimal time to post on Twitter is late in the weekday, between 2pm ‘ 5pm EST

Dan Zarella, SM Scientist for Hubspot, recently addressed the SOT Best Practices Approach for both Twitter and Facebook.  ‘The optimal time to post on Twitter is late in the weekday, between 2pm ‘ 5pm EST, as this maximizes ReTweets. Coincidentally, we’ve found there is no significant difference in clickthrough rates according to the time of day or the day of the week, so it’s okay to experiment with your Tweets on the weekends and during late hours.’

Zarella further explains, ‘We’ve discovered clickthrough rates dramatically reduce, the more you post within an hour.  The clickthrough rate for a second post drops to 50%. The clickthrough rate for a 3rd post within an hour is almost nil.’  Zarella is not suggesting to Tweet less as he points to a strong relationship between the number of tweets per day and total followers.  Instead, he suggests not to ‘crowd out’ your tweets per hour.

Zarella also suggests three key timing points for Facebook: (1) post every other day as  mainstream pages that did this displayed the most likes, (2) post content on the weekends since it elicits the most amount of shares and (3) post content in the morning as shares tend to do marginally better than those published at other times.

Don’t “crowd out” your Tweets per hour

But if everyone uses The Best Practices Approach, wouldn’t the SM landscape become overcrowded during those specific times and diminish the likelihood of anyone hearing your message?

Great question.  Keep reading.

The three previous methods require someone from within to personally determine optimal timing.  Whereas with The Autoscheduling Approach, 3rd parties determine optimal posting times.  But what are these 3rd parties’ optimization practices you say?  And how do they measure up to yours?

After investigating Autoscheduling practices, two unique terms surfaced: static vs. dynamic. A static Autoscheduling system optimizes timing based on The Best Practices Approach, not on individual behavior. While a dynamic system optimizes timing through individual / follower behavior, and gets better over time. So which method would you prefer? Find out which method your provider utilizes.

Last but not least, there is The Contracompetitive Timing Approach. This approach is actually the opposite of The Best Practices Approach and circumvents its downside.  This territory lies at the beginning and tail-end of the cocktail party, where crowds are smaller in number, thereby improving the odds of individual engagement.  By utilizing Contracompetitive Timing, smaller crowds are more likely to hear your voice that would otherwise be lost in the chatter of a full-swing cocktail party.

So which SOT approach is the best? The Common Sense Approach of when people are online? The Segmentation Approach that profiles your specific target audience?  The mega-blast to a crowded room, Best Practice Approach?  Perhaps the best is The Autoscheduling Approach which leaves it in the hands of the experts? Or maybe the Contracompetitive Timing Approach seems like a valid alternative, so your messages aren’t lost in the masses? Perchance it is a combination of all the above? 

In your personal experience, the best SOT approach is _________. (Please comment below)

Chris Ruby is an award-winning Marketing Research & Consumer Insights Executive with Fortune 500 consulting experience. His niche is the ability to turn complex data into compelling stories that induce a call for action among key decision-makers. His work has been featured by MRA, MRIA, IIR, Norstat Times, Chadwick Martin Bailey & the Optimization Group. Keep up with Chris Ruby by following him on Twitter @ChrisRubyMRX or by reading the Chris Ruby Market Research Blog.