Don't Let Young Adults Go Under-represented in Your Consumer Surveys

Posted by MFour on Apr 2, 2019 6:00:00 AM

All market research consumer panels are not created equal. Only those that reliably represent the segments most relevant to a brand’s success are worth using. 

Less understood is the decisive role research technology and survey methodology play in determining whether a given study will include enough of the right respondents to reflect consumer reality.

Here’s a brief summary of recently published results from an online market research study that illustrates how online methodology is falling short when it comes to demographic representation of key Millennial and Gen Z consumers.

Project: A trade association that represents producers of a food that’s a staple of grocery stores’ fresh-produce departments sought data on U.S. consumers' attitudes, purchase frequency and purchase-drivers for the fresh-food item.

Methodology: A quantitative, nationwide survey that collected about 2,000 completes over the course of about two weeks, obtained from an online panel. Qualifiers were consumers who stated that they play a role in shopping for their household’s groceries.

Segmentation: Using screening questions, the study identified respondents by a variety of demographic categories, including age, sex, race/ethnicity, household income and education.

Shortfall: Only 2% of respondents in the produce-shopping study were ages 18-24. The U.S. Census Bureau estimates that 9.4% of Americans are ages 18 to 24 – nearly five times as many as were represented in the survey.

Meanwhile, 40% of the study's respondents were 55 and older, when they actually make up 29% of the U.S. adult population. 

The numbers don't align with reality because online research approach is increasingly incapable of fully including the key younger age groups. Pew Research Center reports that 94% of Americans ages 18 to 29 own smartphones, and 28% in that group are “smartphone dependent,” the term for consumers who rely solely on their phones to access the internet. That means more than a quarter of younger Millennials and Gen Z consumers in their late teens and early 20s are off the radar for online studies.

In-app mobile research is much more efficient and capable of representing younger consumers. Here's why:

  • Mobile-app surveys are  congruent with their lifestyles: smartphones and mobile apps are Millennials' and Gen Z's preferred portals for receiving information and expressing ideas and opinions.
  • They are naturally more inclined to take surveys on their phones, as long as the experience is technologically smooth and problem-free.
  • Mobile-app methodology also is a gateway to GPS location-tracking of consumers who give informed consent to have their movements observed from store to store.
  • These known, first-party consumers can then be surveyed inside the store or just after they've left. The researcher gets firm validation that they are actually shopping for groceries, and the ultimate payoff is the rich, reliable data captured at the Point Of Emotion® where buying decisions are made and recall is most reliable.

The key advantage of advanced, in-app mobile research is its ability to combine always-on observational data with survey data to give researchers a rich understanding of validated, first-party consumers. It's the only way to reach them in their natural, mobile-app environment for peak engagement and top-quality survey data.

For an example of in-app mobile's ability to reach younger adults, read about MFour’s 2016 Millennials project, which documented that generation’s opinions about entertainment, money and technology. It demonstrates  the ease and speed with which in-app mobile research can access representative numbers of adults in their mid-thirties and younger.

Another project, on validated shoppers’ experiences on Black Friday, 2018, illustrates the benefits of mobile GeoLocation studies. In that case, consumers were located inside one of five top retailers on Black Friday, then received a survey via their Surveys On The Go® app as soon as they were observed leaving the store. Click here for an infographic on the Black Friday findings.

To sum up: researchers seeking insights from grocery shoppers or consumers who are shopping in-store for any other product category can now use mobile location-journey data to find validated, first-party research participants who meet their demographic criteria, with young adults well within reach. There's no need to settle for a non-representative fraction of the young consumers whose preferences are already shaping the product and retail landscape and will continue to dominate for decades to come.

Topics: in-app Mobile surveys, mobile consumer panel, always-on data, observational data, retail research, mobile geolocation

Major Retailers Will Shutter 3,500 Stores in 2019. Here's How Retail Research Can Understand What Comes Next.

Posted by MFour on Mar 19, 2019 6:00:00 AM

“Where Do Broken Hearts Go?” was a hit ballad for Whitney Houston. “Where do disenfranchised shoppers go?” is an increasingly important question for retail-sector market research as store closures continue to disrupt consumers’ familiar purchase paths. Each round of closures is an inflection point that puts displaced shoppers’ spending and brand loyalty up for grabs.

To win the battle to retain or pry away disenfranchised shoppers after a location closes, brands need fast, reliable data and insights into exactly who has been displaced, where they’re going now, and why they’ve taken that path. The stakes are high, with 3,500 store closings expected this year, according to RetailTouchPoints.

To find, connect with and understand these displaced customers, your best way forward is to combine observational mobile location-visitation data and mobile survey data.

Start with a validated, first-party market research panel that’s large and diverse enough to represent relevant populations of the disenfranchised. Once you’ve taken that crucial step, here are tips on how to proceed.

First challenge: Identify the displaced consumers.

  • Solution: Always-on mobile location tracking records and archives 500,000 daily visits by opted-in consumers to the top 1,000 U.S. retailers, plus an additional 250,000 daily visits to other commercially-significant locations such as entertainment venues and transportation hubs.
  • Result: Researchers quickly identify consumers who have made past visits to now-closed stores and can continue to observe their movements for changes in path-to-purchase patterns. 

Second challenge: Understand where displaced consumers are landing.

  • Solution: Continue always-on tracking of validated disenfranchised shoppers in the weeks or months after a store closure, closely observing for any changes in their brick-and-mortar store-visitation patterns.
  • Result: Obtain location insights into what they do next. 
  • Insights Opportunities:
    • Who remains loyal by switching to another store in the same retail chain?
    • See who’s in play by comparing pre-closure and post-closure visitation patterns. Those who are shopping around are important targets for further inquiry into how they can be influenced.
    • Identify shoppers who have switched loyalties as a result of a store closure and are now shopping mainly or exclusively at a competing store that’s a short distance from the one that closed.
    • See which displaced shoppers have stopped visiting any store in the category. Are they shopping online instead? And at whose eCommerce site?
Third challenge: What’s the “why” behind affected consumers’ observed post-closure visitation patterns? 
  • Solution: Mobile surveys targeted specifically to validated consumers in each behavioral segment - new store, same retailer/switched to a competitor's store after closure/trying different stores/stopped shopping at brick-and-mortar stores in the category. 
  • Result: Useful consumer understanding that helps drive actions and decisions on a number of fronts.
  • Insights Opportunities:
    • The data and insights could inform a variety of marketing efforts, including advertising, discount offers, upgrades of retailers’ apps and online-stores’ attractiveness and functionality to capture dropouts from brick-and-mortar stores.
    • Retailers also can inquire and gain insights into which products and product categories are most important to disenfranchised shoppers as they decide where to go now.

Many other retail problems and opportunities that require fast, trustworthy data will benefit from advanced mobile research solutions. The key inputs that power all these research situations are a large, top-quality, first-party consumer panel that’s engaged and willingly opted in for behavioral tracking as well as surveys.

By coloring observed location data with surveys, and validating the surveys with location data, researchers can gain insights they need to help their brands and clients succeed amid the disruptive changes impacting the retail industry.

Topics: mobile tracking, mobile data, survey data, market research panel, purchase path, always-on data, observational data, retail research

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