Factori Consumer Graph USA | Append 100+ Attributes from 300M+ Consumer Profiles

Category : People

/uploads/offer/medium/offer_355.png Factori Consumer Graph USA | Append 100+ Attributes from 300M+ Consumer Profiles

Description

Our consumer data is gathered and aggregated via surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points.

Our comprehensive data enrichment solution includes a variety of data sets that can help you in addressing gaps in your customer data, gain a deeper understanding of your customers, and power superior client experiences.
1. Geography - City, State, ZIP, County, CBSA, Census Tract, etc.
2. Demographics - Gender, Age Group, Marital Status, Language etc.
3. Financial - Income Range, Credit Rating Range, Credit Type, Net worth Range, etc
4. Persona - Consumer type, Communication preferences, Family type, etc
5. Interests - Content, Brands, Shopping, Hobbies, Lifestyle etc.
6. Household - Number of Children, Number of Adults, IP Address, etc.
7. Behaviours - Brand Affinity, App Usage, Web Browsing etc.
8. Firmographics - Industry, Company, Occupation, Revenue, etc
9. Retail Purchase - Store, Category, Brand, SKU, Quantity, Price etc.
10. Auto - Car Make, Model, Type, Year, etc.
11. Housing - Home type, Home value, Renter/Owner, Year Built etc.

Consumer Graph Schema & Reach:
Our data reach represents the total number of counts available within various categories and comprises attributes such as country location, MAU, DAU & Monthly Location Pings:

Use Cases:
360-Degree Customer View:
Get a comprehensive image of customers by the means of internal and external data aggregation.
Data Enrichment:
Leverage Online to offline consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment
Fraud Detection:
Use multiple digital (web and mobile) identities to verify real users and detect anomalies or fraudulent activity.
Advertising & Marketing:
Understand audience demographics, interests, lifestyle, hobbies, and behaviors to build targeted marketing campaigns.

Description

Our consumer data is gathered and aggregated via surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points.



Our comprehensive data enrichment solution includes a variety of data sets that can help you in addressing gaps in your customer data, gain a deeper understanding of your customers, and power superior client experiences.

1. Geography - City, State, ZIP, County, CBSA, Census Tract, etc.

2. Demographics - Gender, Age Group, Marital Status, Language etc.

3. Financial - Income Range, Credit Rating Range, Credit Type, Net worth Range, etc

4. Persona - Consumer type, Communication preferences, Family type, etc

5. Interests - Content, Brands, Shopping, Hobbies, Lifestyle etc.

6. Household - Number of Children, Number of Adults, IP Address, etc.

7. Behaviours - Brand Affinity, App Usage, Web Browsing etc.

8. Firmographics - Industry, Company, Occupation, Revenue, etc

9. Retail Purchase - Store, Category, Brand, SKU, Quantity, Price etc.

10. Auto - Car Make, Model, Type, Year, etc.

11. Housing - Home type, Home value, Renter/Owner, Year Built etc.



Consumer Graph Schema & Reach:

Our data reach represents the total number of counts available within various categories and comprises attributes such as country location, MAU, DAU & Monthly Location Pings:



Use Cases:

360-Degree Customer View:

Get a comprehensive image of customers by the means of internal and external data aggregation.

Data Enrichment:

Leverage Online to offline consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment

Fraud Detection:

Use multiple digital (web and mobile) identities to verify real users and detect anomalies or fraudulent activity.

Advertising & Marketing:

Understand audience demographics, interests, lifestyle, hobbies, and behaviors to build targeted marketing campaigns.

Data Products
Product Name Time Period Price Purchase View