Search
Profile

Ask your question

Close

Individual Data

What Is Individual Data?

Individual data is information about individual customers or site users. This includes their transactions and behavior (online and offline) across all their devices and platforms. In short, this data is the sum of consumer transaction, identity, marketing attribution, and online/mobile data.

Where Does Individual Data Come From?

Most individual data comes from online sources. Companies and third-party data vendors collect information from email or SMS registrations, app use, ad exposure data, mobile use and location data of “smart” devices, and more.

Other sources of this data include reports from company CSR or sales teams, loyalty program users, and historical marketing campaign data.

New laws and regulations have reduced the amount of data that organizations can collect without getting explicit approval from individuals. However, when companies request approval from site or app users to gather their data, they increase the likelihood that people will provide their information.

What Types of Columns/Attributes Should I Expect When Working with This Data?

Common attributes of individual data fall into two main categories: explicit and implicit. Also referred to as active data, explicit data is anything that you have to specifically request that a person give you. In other words, their name, phone number, email address, and similar information.

Implicit—aka passive—data, on the other hand, is any information that can be gathered without asking. Examples include time spent on an app, locations where the customer has visited or spent time in, amount of time spent exercising outdoors or socializing.

What Is This Data Used For?

This individual data provides demographic, geospatial, behavioral, interest, intent, and transactional information that people in all kinds of industries use. Businesses use the information to market to customers, forecast price changes, improve brand affiliation, track social media performance, and improve customer satisfaction. Businesses also use this information to detect fraudulent transactions to keep them and their customers safe.

There are sometimes surprising uses of individual data. Dartmouth College, for example, reports that passive mobile data indicate clinically significant anxiety levels, suggesting brain connectivity problems that can then be shown with MRI images.

How Should I Test the Quality of Individual Data?

The best test of the quality of individual data is the update frequency and consistency of data within the dataset. This data category is one of the fastest-moving fields in the universe of big data, with updates appearing daily—at least.

It is also good to collect a set of historical data and test that against newer data or against the rate of conversions.

What Are the Most Important Factors I Should Vet when Selecting This Data?

Aside from update frequency, the most important factors to consider when selecting an identity data set is the experience and methodology of the vendor. Does the vendor use a mix of offline and online data? Do they rely more on probabilistic or deterministic data? What is their match rate percentage? Do they have historical data to compare to past data?

Interesting Case Studies and Blogs to Look Into

Acxiom: Retailer seems 112% increase in ROI in 3 months
Truyo: Advantages of compliance

Tangible Examples of Impact

Heathrow welcomes 206,800 visitors daily. Each person has different needs and little time to spend shopping or looking for a lounge that will suit them. Each business within the airport also has its own goals and challenges. However, with individual data—especially mobile data—Heathrow is able to market to each one of its 206,800 harried visitors effectively.

Acxiom: Inside Heathrow’s Incredible Customer Experience Operation

Relevant datasets

Logz Data Platform

by logz_logo

The Logz Data Platform enables any data engineer to manage any project, no matter the subject or scale. Their data management tools include cloud security, compliance, log tracing, and even developer analytics and visualizations.

0 (0)   Reviews (0)

LinkedIn Company Data

by linkedin_logo

LinkedIn Company Data includes not only data about for-profit and non-profit companies of all sizes, but also the people who work in them, from CEOs to interns. LinkedIn also tracks data on certifications, credentials, and events; they even offer professional training and host events themselves. 

In all, this information improves social and professional networking while providing opportunities for employee recruitment and B2B sales.

0 (0)   Reviews (0)

Catalist Data Visualization and Reporting

by Catalist

Catalist Data Visualization and Reporting provides a variety of historical data dashboards and custom data research projects

0 (0)   Reviews (0)

Similar Data Providers

  • The Arabesque GroupThe Arabesque Group
    5 (1)
    Reviews ()
    Data sets (4)
    Established in 2013, the Arabesque Group is a leading global financial technology company that combines AI with environmental, social and governance (ESG) data to assess the performance and sustainability of corporations worldwide. In addition to their Asset Management consultation service, the groups offers Arabesque S-Ray GmbH and Arabesque AI Ltd. datasets.
  • Black Box Intelligence Consumer IntelligenceBlack Box Intelligence Consumer Intelligence
    5 (1)
    Reviews ()
    Data sets (0)
    Black Box Intelligence Consumer Intelligence is designed to provide detailed analysis on individual competitor sales and performance data.
  • Home by VendigiHome by Vendigi
    4.3 (3)
    Reviews (1)
    Data sets (1)
    Home by Vendigi provides audience data for all things home buyers, remodelers, and sellers. Their data comes from first-party sources like top multiple listing systems (MLSs) major brokers like RE/MAX, Coldwell Banker, Century 21, and Sotheby's. Users of Vendigi's Home data range from home and garden retailers to insurance institutions to telecom companies.