We just published our annual report on The State Of Consumers And Technology: Benchmark 2013, US. This data-rich report is a graphical analysis of a range of topics about consumers and technology and serves as a benchmark for consumers’ level of technology adoption, usage and attitudes. Our annual benchmark report is based on Forrester's Technographics® online benchmark survey that we've been fielding since 1998. The report covers a wide range of topics, such as online activities, social media activities, retail behaviors and preferences, and device usage—for ‘traditional’ technologies like TVs and laptops—as well as more emerging technologies like smartphones, tablets and wearables.
We analyze our findings through a generational lens, including Gen Z, Gen Y, Gen X, Younger Boomers, Older Boomers, and the Golden Generation. While most Americans are already online, we are seeing major strides in mobile Internet access. In 2013, all generations are connected—81% of the US adult population goes online. But there are still generational differences in smartphone usage: Seven of ten Gen Zers and Gen Yers use a smartphone, but only 18% of the Golden Generation do.
Last week, I had the pleasure of attending the Insight Innovation Exchange conference in Philadelphia. There were many vendors that offered solutions to many common challenges that market researchers face. One common theme I noticed was the challenge for market researchers to make sense of big data. Yes, big data has become something of a buzzword, but consumers are creating a lot more data and market researchers can thrive if they embrace it.
For some time now, Forrester has been writing about the importance of incorporating behavioral tracking insights to marketer researchers’ research mix. Don’t get me wrong — survey research is and will continue to be incredibly important for companies to gain insights on consumers. A survey can capture a variety of consumer behaviors, sentiments, and attitudes. In one survey, marketers can assess their market share and find out the profile of their customers and what they want. And survey research can help provide insight into the “why” — the reasoning behind the choices that consumers make — something that is not possible with behavioral data. However, survey research cannot detail granular activities due to respondent recall. Enter big data, and with it many possibilities for behavioral tracking. Yes, this is nothing new for customer intelligence professionals, who analyze customer transactions, online web tracking, and other consumer behaviors. But by combining survey and behavioral data, marketers get the best of both worlds: They get consumer profiles and psychographics, brand health metrics, and a detailed record of the actions that those consumers actually do.
Last week, I ran into an infographic on Ad Age about The People of Walmart. It compares the demographics of Walmart, Kmart, Kohl’s, and Target shoppers: for example, age, sex, income, and region of the customers. It shows that more women than men shop at Walmart, and that their audience is quite equally spread across age as well as income. Recently, Forrester conducted a survey where we gained insights on customers of retailers like Walmart. We found that while it’s great to examine the demographics of shoppers, it’s much more powerful (and actionable) to look at other insights about these retailers’ customer base, like marketing preferences, spend levels, and brand consideration.
Below you'll find some of the results from this Forrester study. You'll see that the average US online adult who shops at Walmart spent about $848 on average in the past year, but that only about half are likely to recommend the retail giant to a friend or family member. When these results are compared to other retailers, and by demographic, you create real insights.
I’d love to hear from you: How do you target your customers? Are there any behavioral and attitudinal variables that have been very helpful in defining your target segments?