Consumer lifestyle data measures attitudes, habits, hobbies, and interests of individuals, it is almost like a type of customer intelligence.
This data comes from national or private surveys, customs and tourism statistics, social media profiles, and various mobile and online data collections.
These online and mobile data sources provide information about mobile apps downloaded, the amount of time spent on them (passive app data), how many devices a user owns, and the location and movement patterns of the user.
Additionally, companies can enrich their consumer lifestyle datasets with transaction and purchase histories.
Ultimately it depends on what the data user wants to focus on, this data is most often organized into customer segments based on whichever segments the data user wants to target. Most often, these are age range, location, gender, income bracket, and employment status. However, additional demographic features, like marital status, hobbies, and political affiliation may appear. In fact, many data providers, such as the ones you can review on our site, allow for custom customer segmentation.
This data lends itself to marketing and customer care uses. Companies use this data to conduct market research and create targeted marketing campaigns. Then, once leads become customers, companies can focus on new product or service launches for their customers or reach out to individuals who have purchased from them in the past but no longer do so.
With the range of data sources and the number of devices tracked per customer, the most important aspect of a good consumer lifestyle dataset is identity validation. In short, try to focus on clean yet comprehensive data that accurately tracks each individual across all channels and devices.
StartUp Nation: Why Consumer Lifestyle Data is the Key to Successful Marketing
Core: Effects of Consumer Lifestyles on Purchasing Behavior on the Internet: A Conceptual Framework and Empirical Validation
“We see consumers experiencing and making lifestyle changes, driven by COVID-19, that suggests the arrival of a sustained shift in eating habits,” said Sean M. Connolly, president and chief executive officer, during an Oct. 1 conference call to discuss first-quarter results. “We also know from prior recessions that an economic downturn typically leads to a permanent increase in at-home eating, even when economic growth returns.”
Men are highly likely to consider sex and eating out as the main point of Valentine’s Day. Big surprise :’)
Transparent Data’s dataset – ‘PEP API Politicians Data | Global coverage from 8 largest world lists’ provides Company Data, Political Data and Consumer Lifestyle Data that can be used in Supplier Risk and
TRAK Data’s dataset – ‘TRAK Data – United States Political Data – Republicans, Democrats, Independents, Donors, Congressional Districts & More’ provides Demographic Data, Political Poll Data, Political Data, and Consumer Lifestyle Data that can be used in Targeted Marketing and