How Companies Use Data Enrichment

Data enrichment is a crucial process for businesses looking to gain a more comprehensive and accurate view of their datasets, allowing for deeper insights and more informed decision making. This involves adding additional data points or attributes to the existing data set using various techniques, such as merging, appending, or cross-referencing datasets, or using machine learning algorithms. Let’s explore what data enrichment is and how it works, as well as the data enrichment tools offered by EnformionGO.

Data enrichment is the process of enhancing or expanding the information contained in a dataset by adding additional data points or attributes. This can be done using a variety of techniques such as merging, appending, or cross-referencing datasets, or using machine learning algorithms to extract insights from unstructured data.

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The goal of data enrichment is to create a more comprehensive and accurate view of a particular dataset, allowing for deeper insights and more informed decision making. For example, a company may use data enrichment to supplement customer data with demographic information, purchase history, or social media activity in order to create more targeted marketing campaigns.

The process of data enrichment typically starts when data is collected from a variety of sources, including public data sets, social media platforms, and third-party vendors. Next, the data is cleaned and standardized to ensure consistency across different data sets. Finally, the data is merged or appended to the original data set, and any missing or incomplete data points are filled in using machine learning or other techniques.

EnformionGO offers a variety of tools to help with data enrichment, such as contact enrichment, callerID, AddressID, EmailID. These tools can help with data enrichment by adding more information to existing data.

Contact Enrichment API can be used to add additional information to contact records, such as social media profiles, employment information, and more. This can help businesses better understand their customers and target their marketing and communication efforts more effectively. By integrating with the Contact Enrichment API, businesses can ensure that their contact data is always up-to-date and accurate.

CallerID can be used to identify the owner of a phone number and provide additional information about them, such as their name, address, and social media profiles. This can be useful for businesses that rely on phone communication to reach their customers, as it can help them better understand who they are talking to and tailor their communication accordingly.

AddressID can be used to verify and enrich address data by adding missing information, such as geolocation data or building information. This can help ensure that address data is accurate and up-to-date, which is important for businesses that rely on accurate address data for shipping, logistics, and customer communication.

EmailID can be used to identify the owner of an email address and provide additional information about them, such as their social media profiles and job title. This can be useful for businesses that use email communication to reach their customers, as it can help them tailor their communication to the recipient’s interests and needs.

Starter

AddressID

Find someone’s name and contact info just from an address

Starter

CallerID

Find someone’s name and contact info just from a number

Starter

Contact Enrichment

Enrich your contacts with additional contact info

Starter

Email ID

Find someone’s name and contact info just from an email

Depending on your companies needs, you can find the right tools for your data enrichment solutions on our Developer API page, where you can browse a full list of EnformionGO API products.

“Using Batch append helped connect customer data with the appropriate related contact information. This give our clients access to reach out to their customers who may have had incomplete or outdated records and maintain engagement with existing customers through right party personal contact information.”

from a Scaling Health Care Client Services Company

“Our new found property data helped us make key decisions for our marketing team to successfully target customers who were in a position to benefit the most from solar energy, creating many new high-value leads.”

from a Solar Energy Provider

“By using EnformionGO’s Contact Enrich API, we were able to create a sign up form with less required fields, but still able to get a large range of contact info on potential leads (and verify them at the same time). This was a game changer for our clients.”

Top marketing agency

Data enrichment is a powerful tool that can help businesses gain a deeper understanding of their customers and make more informed decisions. With the help of EnformionGO’s data enrichment tools businesses can supplement their existing datasets with additional information to create a more comprehensive view of their customers. These tools can also help businesses save time and resources by automating the process of data cleaning, merging, and appending. By leveraging the power of data enrichment, businesses can stay ahead of the competition and make smarter decisions based on more accurate and complete information.

Graphic depicting a marketer reviewing contact enrichment API
Enformiongo api documentation readme

Getting familiar with how to use EnformionGO’s search and API products is very helpful in deciding what products you’ll want to use. We’ve created this quick start guide to walk new users through how to use EnformionGO. Happy searching!

Pro License Data

Filter Pro License Data using the fields below.

  • License Status
    • Multi select
      Description: Select the license status(es) you want to target. You can select more than one


  • License Issuing State
    • Multi select
      Description: Select the license issuing state(s) you want to target. You can select more than one.


  • License Issuing Date Range
    • Select the date range for when the target matches had their license issued.
  • License Expiration Date Range
    • Select the date range for when the target matches had their license expire.

Workplace & Corporation Data

Filter Workplace Data using the fields below.

  • Years at Company
    • Field type: input
    • Description: Enter the number of years at a company for your target matches.
  • Job Title Level
    • Multi select
      Description: Select the job title level(s) you want to target. You can select more than one.
  • Department
    • Multi select
      Description: Select the department(s) you want to target. You can select more than one.
  • Company Revenue Range
    • Field type: range – min/max ($0 – $100,000,000)
    • Description: Set the company revenue range for your matches
  • Company Size
    • Field type: range – min/max (0 – 10,000)
    • Description: Set the company size range for your matches
  • Office Location City
    • Field type: input
    • Description: Enter the office location city name you want to target
 
  • Office Location County
    • Field type: input
    • Description: Enter the office location county name you want to target
  • Office Location State
    • Field type: Multi-select
    • Description: Select the office location state(s) you want to target. You can select more than one.
  • Office Location Zip
    • Field type: input
    • Description: Enter the office location zip code you want to target

Property Data

Filter Property Data using the fields below.

  • Number of Property Owners
    • Field type: range – min/max (0 – 50)
    • Description: Set the range of the number of owners for one of the properties linked to each match you want to target
  • Land Use Code
    • Field type: input
    • Description: Enter the land use code (number only) for one of the properties linked to each match you want to target. For example, for “1100: Single-Family Home” you would enter “1100”
  • Total Square Footage
    • Field type: input
    • Description: Enter the total square footage (number only) for one of the properties linked to each match you want to target

  • Property Value
    • Field type: range – min/max (0 – 10 million)
    • Description: Set the range of the property value for one of the properties linked to each match you want to target
  • Mortgage Amount
    • Field type: input
    • Description: Enter the mortgage amount (number only) for one of the properties linked to each match you want to target
  • Purchase Date
    • Field type: input
    • Description: Enter the purchase date (number only) for one of the properties linked to each match you want to target
  • Property Type
    • Multi select
      Description: Select the property type(s) you want to target. You can select more than one.
  • Owner Type
    • Multi select
      Description: Select the owner type(s) you want to target. You can select more than one.
  • Owner Status
    • Multi select
      Description: Select the owner status(es) you want to target. You can select more than one.
  • Owner Occupied
    • Field type: Boolean
    • Description: Select if you require for one of the properties to be owner-occupied

Consumer Insights Data

Filter Consumer Insights Data using the fields below.

  • Presence of Children
    • Field type: Boolean
    • Description: Select if you require matches with children present in the household
    •  
  • Credit Card Holder
    • Field type: Boolean
    • Description: Select if you require matches to be a credit card holder
  • Interest in Travel
    • Field type: Boolean
    • Description: Select if you require matches to be interested in travel
  • Interest in Cooking
    • Field type: Boolean
    • Description: Select if you require matches to be interested in cooking
  • Interest in Reading
    • Field type: Boolean
    • Description: Select if you require matches to be interested in reading


  • Smoker
    • Field type: Boolean
    • Description: Select if you require matches to be a smoker
  • Exercise Enthusiast
    • Field type: Boolean
    • Description: Select if you require matches to be an exercise enthusiast
  • Exercise with Running
    • Field type: Boolean
    • Description: Select if you require matches who run for exercise
  • Exercise with Walking
    • Field type: Boolean
    • Description: Select if you require matches who walk for exercise
  • Does Aerobic Exercise
    • Field type: Boolean
    • Description: Select if you require matches who do aerobic exercise
  • Into Camping / Hiking
    • Field type: Boolean
    • Description: Select if you require matches who are interested in camping / hiking 
  • Into Natural Foods
    • Field type: Boolean
    • Description: Select if you require matches who are interested in natural foods
  • Into Beauty Health
    • Field type: Boolean
    • Description: Select if you require matches who are interested in health / beauty
  • Into Medical Health
    • Field type: Boolean
    • Description: Select if you require matches who are interested in health / medicine
  • Into the Outdoors
    • Field type: Boolean
    • Description: Select if you require matches who are interested in the outdoors
  • Into Sporty Living
    • Field type: Boolean
    • Description: Select if you require matches who are interested in the outdoors

Location Data

Filter Location Data using the fields below.

  • City
    • Field type: input
    • Description: Enter the city name you want to target
  • County
    • Field type: input
    • Description: Enter the county name you want to target
  • State
    • Field type: Multi-select
    • Description: Select the state(s) you want to target. You can select more than one.
  • Zip
    • Field type: input
    • Description: Enter the zip code you want to target
  • Population Designation
    • Field type: Multi-select
    • Description: Select the population type(s) you want to target. You can select more than one.

Person Data

Filter Person Data using the fields below.

  • Age
    • Field type: range – min/max (18 – 120)
    • Description: Set the age range for your matches
  • Education Level
    • Multi select
      Description: Select the education level(s) you want to target. You can select more than one.
  • Credit Score
    • Field type: range – min/max (0 – 850)
    • Description: Set the credit score range for your matches
  • Estimated Income
    • Field type: range – min/max ($0 – $250,000)
    • Description: Set the income range for your matches. Max setting is $250,000+.
  • Number of Properties Owned
    • Field type: range – min/max (0 – 50)
    • Description: Set the owned properties range for your matches
  • Occupation Level
    • Multi select
      Description: Select the occupation level(s) you want to target. You can select more than one.
  • Marital Status
    • Multi select
      Description: Select the marital status(es) you want to target. You can select more than one.
  • Gender
    • Multi select
      Description: Select the gender(s) you want to target. You can select more than one. Default is all.