
Purchase Intent Data | Contact Level Interest Data | 320M+ B2B & B2C Contacts | 21,000 Interest Categories | Daily Leads
# | ID |
CATEGORY |
SUB_CATEGORY |
TOPIC |
---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx |
2 | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx |
3 | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx |
4 | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx |
5 | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx |
6 | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx |
7 | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx |
8 | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx |
9 | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx |
10 | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx |
... | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx |
# | IntentTopic |
IntentStrength |
WhenEngaged |
BusinessEmail |
Company |
Title_Actual |
JobLevel |
JobDepartment |
Address |
City |
State |
Zip |
PhoneDirect |
LinkedInURL |
Employees |
Sales |
Industry |
SICCode |
NAICS |
Domain |
||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx |
2 | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx |
3 | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx |
4 | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx |
5 | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx |
6 | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx |
7 | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
8 | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx |
9 | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx |
10 | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx |
... | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
ID
|
Integer | 100001 | |
CATEGORY
|
String | Apparel˙&˙Accessories | |
SUB_CATEGORY
|
String | High˙End˙ | |
TOPIC
|
String | APC |
Attribute | Type | Example | Mapping |
---|---|---|---|
IntentTopic
|
String | Small Business Loans | |
IntentStrength
|
String | High | |
WhenEngaged
|
String | 1/5/2024 15:05 | |
String | Contact First Name | ||
String | Contact Last Name | ||
BusinessEmail
|
String | bterpstra@afconline.com | |
Company
|
String | Afc Materials Group Inc | |
Title_Actual
|
String | Principal Owner | |
JobLevel
|
String | Cxo | |
JobDepartment
|
String | Executive | |
Address
|
String | 14 Walter Ct | |
City
|
String | Lake In The Hills | |
State
|
String | IL | |
Zip
|
Integer | 60156 | |
Integer | Company Phone Number | ||
PhoneDirect
|
Integer | 4103872520 | |
Integer | Contact Mobile Phone Number | ||
LinkedInURL
|
String | linkedin.com/in/bud-terpstra-7077ba32 | |
Employees
|
String | 101 to 250 | |
Sales
|
String | 25 Million to 50 Million | |
Industry
|
|||
SICCode
|
String | 2099; 2296 | |
NAICS
|
String | 333922, 423840, 326220, 236116, 531312 | |
Domain
|
String | afconline.com |
Attribute | Type | Example | Mapping |
---|---|---|---|
IntentTopic
|
String | Small Business Loans | |
IntentStrength
|
String | High | |
WhenEngaged
|
DateTime | 3/1/2024 7:35am | |
String | Contact First Name | ||
String | Contact Last Name | ||
String | Company Email Address | ||
String | XYZ Company | Company Name | |
String | General Contractor | Contact Job Title | |
String | Manager | Job Level | |
String | Operations | Job Function | |
String | 123 Main Street | Company Address | |
String | New York | City Name | |
String | NY | State Abbreviation | |
String | 10018 | ZIP Code | |
String | Company Phone Number | ||
String | Contact Phone Number | ||
String | Contact Mobile Phone Number | ||
String | Contact LinkedIn | ||
String | 501 to 1000 | Company Employee Count | |
String | 50 Million to 100 Million | Company Annual Revenue | |
String | Construction | Company Industry | |
String | 1501; 1509 | Company SIC Code | |
String | 522110 522210 522120 621111 522291 | Company NAICS Code | |
String | xyz.com | Company Domain | |
String | Contact Age | ||
Income
|
String | $120,000-$180,000 | |
HomeOwner
|
Boolean | Y | |
NetWorth
|
String | $1 million - $2.5 million | |
Gender
|
String |
Description
Country Coverage
History
Volume
320 million | US Consumer Profiles |
120 million | US B2B Profiles |
21,000 | Intent Topics to Choose |
21,000 | Intent Topics to Choose |
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Purchase Intent Data Contact Level Interest Data 320M+ B2B & B2C Contacts 21,000 Interest Categories Daily Leads?
Contact-level buying intent data (not just domain level) 21,000+ topic taxonomy Custom topics available LLM scored topic to content evaluation The latest intent technology available Create arrays of intent feeds for clients
What is Purchase Intent Data Contact Level Interest Data 320M+ B2B & B2C Contacts 21,000 Interest Categories Daily Leads used for?
This product has 5 key use cases. Solution Publishing recommends using the data for Lead Generation, Programmatic Advertising, Digital Advertising, Intent Based Marketing, and B2B Lead Generation. Global businesses and organizations buy B2B Intent Data from Solution Publishing to fuel their analytics and enrichment.
Who can use Purchase Intent Data Contact Level Interest Data 320M+ B2B & B2C Contacts 21,000 Interest Categories Daily Leads?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for B2B Intent Data. Get in touch with Solution Publishing to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Purchase Intent Data Contact Level Interest Data 320M+ B2B & B2C Contacts 21,000 Interest Categories Daily Leads go?
This product has 6 months of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, yearly, and on-demand basis.
Which countries does Purchase Intent Data Contact Level Interest Data 320M+ B2B & B2C Contacts 21,000 Interest Categories Daily Leads cover?
This product includes data covering 1 country like USA. Solution Publishing is headquartered in United States of America.
How much does Purchase Intent Data Contact Level Interest Data 320M+ B2B & B2C Contacts 21,000 Interest Categories Daily Leads cost?
Pricing information for Purchase Intent Data Contact Level Interest Data 320M+ B2B & B2C Contacts 21,000 Interest Categories Daily Leads is available by getting in contact with Solution Publishing. Connect with Solution Publishing to get a quote and arrange custom pricing models based on your data requirements.
How can I get Purchase Intent Data Contact Level Interest Data 320M+ B2B & B2C Contacts 21,000 Interest Categories Daily Leads?
Businesses can buy B2B Intent Data from Solution Publishing and get the data via S3 Bucket, SFTP, UI Export, and Feed API. Depending on your data requirements and subscription budget, Solution Publishing can deliver this product in .csv and .xls format.
What is the data quality of Purchase Intent Data Contact Level Interest Data 320M+ B2B & B2C Contacts 21,000 Interest Categories Daily Leads?
Solution Publishing has reported that this product has the following quality and accuracy assurances: 100% LinkedIn Validated. You can compare and assess the data quality of Solution Publishing using Datarade’s data marketplace. Solution Publishing has received 2 reviews from clients.
What are similar products to Purchase Intent Data Contact Level Interest Data 320M+ B2B & B2C Contacts 21,000 Interest Categories Daily Leads?
This product has 3 related products. These alternatives include B2B Intent Data 21,000 Interest Categories I B2B Buyer Interest Data, Success.ai Purchase Intent Data 15,000+ Intent Topics – Best Price Guarantee, and Brand Data Intent Real-Time Brand Data Analytics and Insights US 4 Billion Records daily and 21,000 sun categories. You can compare the best B2B Intent Data providers and products via Datarade’s data marketplace and get the right data for your use case.