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Archive for September, 2010



Sep
27
2010
0

Forever Young: Marketing to Emerging Adults (Part One)

Monday, September 27th, 2010

Keep an ear to the ground, marketers: A new demographic might be, well, emerging. Last week, New York Times posted an article about a new life development stage that’s being deemed ‘emerging adulthood’–the period between adolescence and adulthood. Coined by Jeffrey Jensen Arnett, psychology professor at Clark University, this term applies to all those 20-somethings who’ve graduated school but may be unemployed, living at home or otherwise dependent on others for getting by–yes, especially their parents. It also describes the increasing collective of young folk who feel no pressure to cohabitate, marry or begin families anytime soon–instead prolonging the period between their childhood freedom and the markers that are typically used to define mature adulthood.

Surprisingly, the term adolescence has only been recognized as its own life stage since the beginning of last century, notes the article’s author, Robin Marantz Henig. Changing youth labor laws and public school imperatives made it necessary to reconsider and redefine the processes of maturing–and acknowledge, for the first time, the gap between childhood and adulthood. Now, due to recent changes in our society, we may be looking at a similar wedge between life stages that will refuse to be ignored: emerging adulthood.

Today’s understanding of emerging adulthood is mostly based on observed and surveyed behavioral patterns from the start of this millennium. However, the life stage is accredited to factors that go as far back as the 1920s–the women’s right to vote–through the ‘70s and the prevalence of birth control, just for example. Advances in science, technology and politics have changed the shape of today’s families; in turn, life path flexibility is encouraging individuals to take more time to figure out what they want and when they want it. When major life goals change, so do their timelines, and this means that the process of arriving at–much less defining–life’s stages must also necessarily adapt.

Arnett’s information seems to be bolstered by a National Institute of Mental Health study that began in 1991 and recently concluded, proving that humans’ brains are not fully mature until about 25 years of age—though it was previously believed that they had matured by the end of the teenage years. Until the mind has finished going through its own primary developmental cycle, perhaps individuals cannot be bothered to make major, long-term and life-altering decisions—or should not be expected to.

This means that on top of external feedback–such as society’s increasing acceptance toward 20-somethings who have not yet secured their adult role in life–these older young adults are also enabled in their delayed commitments to responsibility by internal structures at the emotional, psychological, intellectual and even philosophical level. Arnett’s research shows that today’s emerging adults are likely to be more self-centered than in previous generations, but also more optimistic about their futures and forthcoming opportunities in life–and therefore less likely to settle down before they’re absolutely ready, regardless of traditional timetables.

Next week, look for Part Two, wherein we discuss how to market to emerging adults.



Sep
13
2010
0

Creating Baseline Audience Profiles

Monday, September 13th, 2010

So, we’ve already discussed a few reasons and ways to monitor audience responsiveness. But once you’ve got yourself set up in that regard, there’s a more advanced step that you should implement. And that’s creating a customer profile (or set of profiles) by which to base your next campaign strategies. This is just one way to analyze and then apply the information that you’re collecting in an organized and practical way.

 

This step comes into play once enough data is collected to start drawing parallels and noticing trend-based patterns (perhaps six months to one year after you start). What you’ll want to do is come up with one baseline model–or preferably, a few model types–based on how customers/clients/audiences are buying and using your products or services. Depending on your business and how divisions fall among those who interact with it, you can create very generic models–such as female/male–or create entire baseline characters, such as the buyer who is under 30 years of age but married with a household income of more than $100,000. Or individuals who shop before 5pm. Or some other kind of category that is unique to your business and exhibited in repeat behaviors.

 

This will also depend on what kind of information you can derive from the types of marketing you’re monitoring and analyzing. Using as many stats and demographics as you have access to can lead to more tedious but more beneficial profiling overall. Tracking should also take into account the beginning, middle and late stages of each model type’s interaction with your brand. You definitely want to acknowledge ways that behaviors change with time and figure out why. Then you can incorporate how you’d like to ideally see relationships develop–based on realistic, data-backed prospects.

 

For example, you may infer three main shopper types: A, B, C. If you’re noticing that the Type A persona is a mother who shops during workdays and often browses the kids’ wares, you may wish to add more products along these lines or incentives for those with families—such as a Back to School Sale running Monday-Friday. Type Bs may typically shop 45 minutes and spend $150 per visit. You may wish to set goals to bring up their spending to an average of $200 per visit or entice them to stay longer to explore more merchandise. However, you’ll need an entirely separate set of advertising agenda for Type C, which are quick-shopping nighttime male shoppers. Naturally, seeking ways for these targeted, goal-oriented marketing tactics to overlap is the best possible strategy for time and cost efficiency.The bottom line is to acknowledge that not all customers or behaviors are the same. Setting targeted goals and watching targeted groups over time can drastically improve business—as opposed to investing in very broad campaigns by assuming that your audience can be defined by one set of standards. By that same vein, you also won’t want to exclude potential new customers by basing decisions on how old ones acted, or by how one niche group acts. To keep from becoming stagnant, it’s vital to implement continued monitoring. Then you’ll want to compare expected results to the ways your profile-based marketing campaigns actually take hold with each model group. That way you can modify models and their respective campaigns until you discover what works best.