Revsure Data Enrichment and Fields

Enrichment and Deanonymized Fields

This document provides a detailed view of the fields Revsure uses for enrichment and de-anonymization. The fields used for enrichment are displayed at the enrichment partner level, and for the deanonymized fields, we have shown them at the persona and account level.

Overview & Data Enrichment Sources

RevSure partners with trusted data enrichment providers to transform raw, anonymous signals into actionable buyer intelligence. By combining de-anonymization with third-party enrichment, RevSure ensures every website visit and engagement is backed by the most complete, accurate, and contextual information available. This partnership-driven approach enables marketing, sales, and revenue teams to connect with the right people, understand their backgrounds, and prioritize accounts with confidence.

Note: These are enrichment sources and fields over and above what our Customers might already be doing from their vendors and bringing into the CRM/MAP. We ingest that information directly from the CRM/MAP/source systems.

Further we are constantly monitoring and adding new data enrichment providers to help our customers get the best signals and data enrichment possible.

Data Enrichment Sources integrated with RevSure include:

MixRank: Provides rich signals across direct dials, emails, social profiles (GitHub, Twitter, LinkedIn), and detailed company attributes, including size, industry, employee count, technologies, and market rankings.
People Data Labs (PDL): Delivers comprehensive person- and company-level data, including contact details, work history, education, skills, social links, and verified company metadata.
Limadata: Specializes in LinkedIn-based enrichment, offering deep professional and organizational insights such as profile information, experiences, connections, company descriptions, and employee ranges.
BitScale: Supplies lightweight but essential firmographic and contact data, including work emails, phone numbers, LinkedIn profiles, and company domains.
5x5Coop: Helps turn anonymous website traffic into real people and companies. By stitching together identity signals, it becomes easier for RevSure to identify who’s actually engaging and attribute pipeline impact more clearly.
RB2B: Specializes in “de-anonymizing” hidden buyer activity. It transforms unknown web visits into identified prospects and accounts so that RevSure can connect marketing touchpoints to actual revenue outcomes.
6sense: Combines enrichment with intelligence. Not only does it fill in company and contact details, it also layers in intent signals and buying stage predictions, helping teams focus on accounts most likely to convert.
Apollo: Delivers rich contact and company-level enrichment. In addition to verified emails and phone numbers, it provides titles, departments, LinkedIn profiles, and firmographics—empowering teams with complete, actionable records to improve targeting, attribution, and conversion accuracy.
Autobound.ai: Goes beyond static data. It enriches accounts and contacts with context, like what kind of messaging resonates, their behavior patterns, and buying cues—making engagement more personal and effective.
Snitcher: Specializes in company-level website visitor identification using IP intelligence and firmographic enrichment. It transforms anonymous website traffic into identified accounts by providing company details, firmographics, location intelligence, funding data, industry classifications, and social profiles, helping RevSure improve account identification, ABM targeting, attribution, and pipeline analysis.

Together, these enrichment partners enable RevSure to unify fragmented signals into a single, verified source of truth for identifying, qualifying, and engaging high-intent buyers.

Signals Covered

The intent of RevSure’s Data Enrichment is to enhance RevSure’s Predictive AI & Agentic AI engines and Full Funnel Data Context with further contextual signals thru second and third party sources:

RevSure’s Data Enrichment covers the following signals and we are constantly adding further signals:

De-anon website visitors (company-level)
De-anon website visitors (person-level)
LinkedIn / Organic Social engagers (likes/comments and social listening)
Job postings
New hires in ICP
Technologies/Technographic Data
Strategic initiatives / keywords based on job posts
Funding Events
Financial Information
Company Operating signals (new leadership, new office, partnerships, etc.)
Geo Location information
Etc.

Types of Data Enrichment Flows

RevSure Enrichment Methodologies

RevSure offers a flexible and modular enrichment framework to meet diverse data quality needs across marketing, sales, and RevOps functions. These enrichment workflows ensure that your lead, contact, and account data is accurate, complete, and always up-to-date—enabling effective segmentation, scoring, and engagement. Below is a detailed overview of the available enrichment types:

1. Missing Enrichment

Definition: This method targets records that have incomplete data by enriching only those where specific fields are currently empty (i.e., null).

Use Case: Commonly used to fill gaps in essential fields such as Industry, Region, Company Size, or Revenue Band. It avoids overwriting existing, potentially validated information.

Benefit: Ensures data completeness without altering already enriched or verified values.

2. Delta Enrichment

Definition: Delta enrichment applies enrichment logic exclusively to newly ingested records typically after a sync with CRM, MAP, or external systems.

Use Case: Ideal for ensuring all incoming leads, contacts, or accounts are automatically enriched with relevant firmographic or demographic data upon creation.

Benefit: Enables real-time enrichment without reprocessing the entire dataset, thereby improving system performance and the freshness of data.

3. Bulk Enrichment

Definition: A one-time, large-scale enrichment operation applied to all records both historical and current, within the database.

Use Case: Typically executed during initial onboarding or a major data hygiene initiative to ensure that the entire lead/contact/account universe is enriched with complete and consistent data attributes.

Benefit: Establishes a clean baseline for analytics, segmentation, and attribution by applying enrichment uniformly across the dataset.

4. Waterfall Enrichment

Definition: A layered enrichment strategy that cascades across multiple enrichment sources in a prioritized sequence. This model can be applied to any of the above enrichment types (Missing, Delta, Bulk).

Use Case: If the primary enrichment provider does not return data for a given field, the system automatically queries the next provider in the hierarchy until the field is populated or all sources are exhausted.

Benefit: Maximizes data coverage by combining multiple enrichment providers while preserving consistency and minimizing API credit waste.

5. Update Enrichment

Definition: This enrichment strategy targets records with outdated or incorrect data and either updates them with more recent information or flags discrepancies for review.

There are two subtypes:

Correction of outdated fields (e.g., a company’s name change or updated employee count).
Alerts on stale attributes, which allows teams to be notified when a previously enriched field (like revenue or industry) becomes outdated due to time-based triggers or external data changes.

Use Case: Useful in long sales cycles or when working with dynamic industries where company information can shift over time.

Benefit: Helps maintain high data accuracy, supports compliance, and ensures go-to-market teams are working with the most current intelligence.

Each of these enrichment approaches can be configured based on your business logic, data governance policies, and system architecture. RevSure’s Customer Success and Solutions Engineering teams will work closely with your stakeholders to define and implement the enrichment strategy that aligns best with your operational objectives.

Introduction to Denanonymized Fields

In a world where privacy rules are tightening and cookies are disappearing, it’s getting harder for B2B teams to know who’s visiting their website, and even harder to take action. That’s where RevSure comes in. With powerful de-anonymization and enrichment tools, RevSure helps you shine a light on anonymous traffic. It connects those unknown visitors to real companies and contacts, giving your marketing and sales teams the insights they need to engage the right people at the right time.

Person-Level Deanonymization

RevSure transforms anonymous visitor activity into identifiable individuals by capturing key person-level fields. This process is powered by our partnerships with RB2B and 5x5Coop, ensuring enriched and validated data for accurate targeting.

Field Name	Data Type
First Name	String
Last Name	String
Job Title	String
LinkedIn URL	String
Company Name	String
Email	String
Domain	String
Industry	String
Company Size Bucket	String
Annual Revenue Bucket	String
City	String
State	String
Zipcode	String
Visited URL	String
Visited Timestamp	Timestamp

Account Level Deanonymization

At the account level, RevSure identifies and enriches company records to transform anonymous activity into actionable firmographic insights. This capability is powered by Snitcher, People Data Labs and 5x5Coop, ensuring reliable and verified company-level intelligence.

Field Name	Data Type
Company Name	String
Description	String
Domain	String
Industry	String
Company Size Bucket	String
Annual Revenue Bucket	String
Country	String

MixRank Enrichment Fields

Name	Input	Display Name	Data Type
mr_emails	Yes	Mix Rank Emails	STRING
mr_github_followings	Yes	Mix Rank Github Followings	NUMERIC
mr_github_public_repos	Yes	Mix Rank Github Public Repos	NUMERIC
mr_github_modified_at	No	Mix Rank Github Modified At	DATE
mr_github_url	Yes	Mix Rank Github Url	STRING
mr_github_added_at	No	Mix Rank Github Added At	DATE
mr_github_updated_at	No	Mix Rank Github Updated At	DATE
mr_github_followers	Yes	Mix Rank Github Followers	NUMERIC
mr_github_public_gists	Yes	Mix Rank Github Public Gists	NUMERIC
mr_github_site_admin	Yes	Mix Rank Github Site Admin	STRING
mr_github_login	Yes	Mix Rank Github Login	STRING
mr_github_user_id	Yes	Mix Rank Github User ID	STRING
mr_github_avatar_url	Yes	Mix Rank Github Avatar Url	STRING
mr_github_name_suffix	Yes	Mix Rank Github Name Suffix	STRING
mr_github_name_nickname	Yes	Mix Rank Github Name Nickname	STRING
mr_github_name_full	Yes	Mix Rank Github Name Full	STRING
mr_github_name_last	Yes	Mix Rank Github Name Last	STRING
mr_github_name_middle	Yes	Mix Rank Github Name Middle	STRING
mr_github_name_title	Yes	Mix Rank Github Name Title	STRING
mr_github_name_first	Yes	Mix Rank Github Name First	STRING
mr_github_id	Yes	Mix Rank Github ID	STRING
mr_twitter_follower_count	Yes	Mix Rank Twitter Follower Count	NUMERIC
mr_twitter_name_suffix	Yes	Mix Rank Twitter Name Suffix	STRING
mr_twitter_name_nickname	Yes	Mix Rank Twitter Name Nickname	STRING
mr_twitter_name_full	Yes	Mix Rank Twitter Name Full	STRING
mr_twitter_name_last	Yes	Mix Rank Twitter Name Last	STRING
mr_twitter_name_middle	Yes	Mix Rank Twitter Name Middle	STRING
mr_twitter_name_title	Yes	Mix Rank Twitter Name Title	STRING
mr_twitter_name_first	Yes	Mix Rank Twitter Name First	STRING
mr_twitter_signup_at	Yes	Mix Rank Twitter Signup At	STRING
mr_twitter_slug	Yes	Mix Rank Twitter Slug	STRING
mr_twitter_url	Yes	Mix Rank Twitter Url	STRING
mr_twitter_id	Yes	Mix Rank Twitter ID	STRING
mr_directdials	Yes	Mix Rank Directdials	STRING
mr_company_naics	Yes	Mix Rank Company Naics	STRING
mr_company_appstore_sdk_count	Yes	Mix Rank Company Appstore Sdk Count	NUMERIC
mr_company_appstore_app_count	Yes	Mix Rank Company Appstore App Count	NUMERIC
mr_company_sic	Yes	Mix Rank Company Sic	STRING
mr_company_linkedin_logo_url	Yes	Mix Rank Company Linkedin Logo Url	STRING
mr_company_linkedin_follower_count	Yes	Mix Rank Company LinkedIn Follower Count	NUMERIC
mr_company_linkedin_specialties	Yes	Mix Rank Company LinkedIn Specialties	STRING
mr_company_linkedin_type	Yes	Mix Rank Company LinkedIn Type	STRING
mr_company_linkedin_country	Yes	Mix Rank Company LinkedIn Country	STRING
mr_company_linkedin_founded	Yes	Mix Rank Company LinkedIn Founded	STRING
mr_company_linkedin_description	Yes	Mix Rank Company LinkedIn Description	STRING
mr_company_linkedin_website	Yes	Mix Rank Company LinkedIn Website	STRING
mr_company_linkedin_name	Yes	Mix Rank Company LinkedIn Name	STRING
mr_company_linkedin_locations	Yes	Mix Rank Company LinkedIn Locations	STRING
mr_company_linkedin_employee_count	Yes	Mix Rank Company LinkedIn Employee Count	NUMERIC
mr_company_linkedin_size	Yes	Mix Rank Company LinkedIn Size	STRING
mr_company_linkedin_url	Yes	Mix Rank Company LinkedIn URL	STRING
mr_company_linkedin_id	Yes	Mix Rank Company LinkedIn ID	STRING
mr_company_industries	Yes	Mix Rank Company Industries	STRING
mr_company_address_country	Yes	Mix Rank Company Address Country	STRING
mr_company_address_postal_code	Yes	Mix Rank Company Address Postal Code	STRING
mr_company_address_region	Yes	Mix Rank Company Address Region	STRING
mr_company_address_city	Yes	Mix Rank Company Address City	STRING
mr_company_address_street_address	Yes	Mix Rank Company Address Street Address	STRING
mr_company_rank_incmagazine	Yes	Mix Rank Company Rank Incmagazine	STRING
mr_company_rank_internetretailer	Yes	Mix Rank Company Rank Internetretailer	STRING
mr_company_web_tag_count	Yes	Mix Rank Company Web Tag Count	NUMERIC
mr_company_web_site_count	Yes	Mix Rank Company Website Count	NUMERIC
mr_company_rank_fortune	Yes	Mix Rank Company Rank Fortune	STRING
mr_company_playstore_sdk_count	Yes	Mix Rank Company Playstore Sdk Count	NUMERIC
mr_company_playstore_app_count	Yes	Mix Rank Company Playstore App Count	NUMERIC
mr_company_employees	No	Mix Rank Company Employees	NUMERIC
mr_company_name	Yes	Mix Rank Company Name	STRING
mr_company_score	Yes	Mix Rank Company Score	STRING
mr_company_rank	Yes	Mix Rank Company Rank	STRING
mr_company_slug	Yes	Mix Rank Company Slug	STRING
mr_company_id	Yes	Mix Rank Company ID	STRING
mr_match	Yes	Mix Rank Match	STRING
mr_linkedin	Yes	Mix Rank LinkedIn	STRING
mr_name_suffix	Yes	Mix Rank Name Suffix	STRING
mr_name_nickname	Yes	Mix Rank Name Nickname	STRING
mr_name_full	Yes	Mix Rank Name Full	STRING
mr_name_last	Yes	Mix Rank Name Last	STRING
mr_name_middle	Yes	Mix Rank Name Middle	STRING
mr_name_title	Yes	Mix Rank Name Title	STRING
mr_name_first	Yes	Mix Rank Name First	STRING
mr_id	Yes	Mix Rank ID	STRING

People Data Labs Enrichment Fields

Name	Display Name	Data Type
people_data_labs_id	People Data Labs ID	STRING
people_data_labs_full_name	People Data Labs Full Name	STRING
people_data_labs_first_name	People Data Labs First Name	STRING
people_data_labs_middle_initial	People Data Labs Middle Initial	STRING
people_data_labs_middle_name	People Data Labs Middle Name	STRING
people_data_labs_last_initial	People Data Labs Last Initial	STRING
people_data_labs_last_name	People Data Labs Last Name	STRING
people_data_labs_sex	People Data Labs Sex	STRING
people_data_labs_birth_year	People Data Labs Birth Year	NUMERIC
people_data_labs_birth_date	People Data Labs Birth Date	DATE
people_data_labs_linkedin_url	People Data Labs LinkedIn URL	STRING
people_data_labs_linkedin_username	People Data Labs LinkedIn Username	STRING
people_data_labs_linkedin_id	People Data Labs LinkedIn ID	STRING
people_data_labs_facebook_url	People Data Labs Facebook URL	STRING
people_data_labs_facebook_username	People Data Labs Facebook Username	STRING
people_data_labs_facebook_id	People Data Labs Facebook ID	STRING
people_data_labs_twitter_url	People Data Labs Twitter URL	STRING
people_data_labs_twitter_username	People Data Labs Twitter Username	STRING
people_data_labs_github_url	People Data Labs GitHub URL	STRING
people_data_labs_github_username	People Data Labs GitHub Username	STRING
people_data_labs_work_email	People Data Labs Work Email	STRING
people_data_labs_personal_emails	People Data Labs Personal Emails	ARRAY<STRING>
people_data_labs_recommended_personal_email	People Data Labs Recommended Personal Email	STRING
people_data_labs_mobile_phone	People Data Labs Mobile Phone	STRING
people_data_labs_industry	People Data Labs Industry	STRING
people_data_labs_job_title	People Data Labs Job Title	STRING
people_data_labs_job_title_role	People Data Labs Job Title Role	STRING
people_data_labs_job_title_sub_role	People Data Labs Job Title Sub Role	STRING
people_data_labs_job_title_class	People Data Labs Job Title Class	STRING
people_data_labs_job_title_levels	People Data Labs Job Title Levels	ARRAY<STRING>
people_data_labs_job_company_id	People Data Labs Job Company ID	STRING
people_data_labs_job_company_name	People Data Labs Job Company Name	STRING
people_data_labs_job_company_website	People Data Labs Job Company Website	STRING
people_data_labs_job_company_size	People Data Labs Job Company Size	STRING
people_data_labs_job_company_founded	People Data Labs Job Company Founded	NUMERIC
people_data_labs_job_company_industry	People Data Labs Job Company Industry	STRING
people_data_labs_job_company_linkedin_url	People Data Labs Job Company LinkedIn Url	STRING
people_data_labs_job_company_linkedin_id	People Data Labs Job Company LinkedIn Id	STRING
people_data_labs_job_company_facebook_url	People Data Labs Job Company Facebook Url	STRING
people_data_labs_job_company_twitter_url	People Data Labs Job Company Twitter Url	STRING
people_data_labs_job_company_location_name	People Data Labs Job Company Location Name	STRING
people_data_labs_job_company_location_locality	People Data Labs Job Company Location Locality	STRING
people_data_labs_job_company_location_metro	People Data Labs Job Company Location Metro	STRING
people_data_labs_job_company_location_region	People Data Labs Job Company Location Region	STRING
people_data_labs_job_company_location_geo	People Data Labs Job Company Location Geo	STRING
people_data_labs_job_company_location_street_address	People Data Labs Job Company Location Street Address	STRING
people_data_labs_job_company_location_address_line_2	People Data Labs Job Company Location Address Line 2	STRING
people_data_labs_job_company_location_postal_code	People Data Labs Job Company Location Postal Code	STRING
people_data_labs_job_company_location_country	People Data Labs Job Company Location Country	STRING
people_data_labs_job_company_location_continent	People Data Labs Job Company Location Continent	STRING
people_data_labs_job_last_changed	People Data Labs Job Last Changed	DATE
people_data_labs_job_last_verified	People Data Labs Job Last Verified	DATE
people_data_labs_job_start_date	People Data Labs Job Start Date	STRING
people_data_labs_location_name	People Data Labs Location Name	STRING
people_data_labs_location_locality	People Data Labs Location Locality	STRING
people_data_labs_location_metro	People Data Labs Location Metro	STRING
people_data_labs_location_region	People Data Labs Location Region	STRING
people_data_labs_location_country	People Data Labs Location Country	STRING
people_data_labs_location_continent	People Data Labs Location Continent	STRING
people_data_labs_location_street_address	People Data Labs Location Street Address	STRING
people_data_labs_location_address_line_2	People Data Labs Location Address Line 2	STRING
people_data_labs_location_postal_code	People Data Labs Location Postal Code	STRING
people_data_labs_location_geo	People Data Labs Location Geo	STRING
people_data_labs_location_last_updated	People Data Labs Location Last Updated	DATE
people_data_labs_phone_numbers	People Data Labs Phone Numbers	ARRAY<STRING>
people_data_labs_emails	People Data Labs Emails	STRING
people_data_labs_interests	People Data Labs Interests	ARRAY<STRING>
people_data_labs_skills	People Data Labs Skills	ARRAY<STRING>
people_data_labs_location_names	People Data Labs Location Names	ARRAY<STRING>
people_data_labs_regions	People Data Labs Regions	ARRAY<STRING>
people_data_labs_countries	People Data Labs Countries	ARRAY<STRING>
people_data_labs_street_addresses	People Data Labs Street Addresses	STRING
people_data_labs_experience	People Data Labs Experience	STRING
people_data_labs_education	People Data Labs Education	STRING
people_data_labs_profiles	People Data Labs Profiles	STRING
people_data_labs_dataset_version	People Data Labs Dataset Version	STRING

Limadata Enrichment Fields

Name	Display Name	Data Type
limadata_email	Limadata Email	STRING
limadata_linkedin_url	Limadata LinkedIn URL	STRING
limadata_work_email	Limadata Work Email	STRING
limadata_complete_success	Limadata Complete Success	BOOLEAN
limadata_processing_time	Limadata Processing Time	NUMERIC
limadata_person_full_name	Limadata Person Full Name	STRING
limadata_person_profile_url	Limadata Person Profile URL	STRING
limadata_person_urn	Limadata Person URN	STRING
limadata_person_website	Limadata Person Website	STRING
limadata_person_connections	Limadata Person Connections	INTEGER
limadata_person_followers	Limadata Person Followers	INTEGER
limadata_person_headline	Limadata Person Headline	STRING
limadata_person_about	Limadata Person About	STRING
limadata_person_location	Limadata Person Location	STRING
limadata_person_profile_image_url	Limadata Person Profile Image URL	STRING
limadata_person_cover_image_url	Limadata Person Cover Image URL	STRING
limadata_person_experiences	Limadata Person Experiences	STRING
limadata_person_educations	Limadata Person Educations	STRING
limadata_person_skills	Limadata Person Skills	STRING
limadata_person_languages	Limadata Person Languages	STRING
limadata_person_recommendations	Limadata Person Recommendations	STRING
limadata_person_all_images	Limadata Person All Images	STRING
limadata_company_id	Limadata Company Id	STRING
limadata_company_name	Limadata Company Name	STRING
limadata_company_profile_url	Limadata Company Profile URL	STRING
limadata_company_website	Limadata Company Website	STRING
limadata_company_industries	Limadata Company Industries	STRING
limadata_company_tagline	Limadata Company Tagline	STRING
limadata_company_description	Limadata Company Description	STRING
limadata_company_employee_count	Limadata Company Employee Count	INTEGER
limadata_company_employee_count_range	Limadata Company Employee Count Range	STRING
limadata_company_follower_count	Limadata Company Follower Count	INTEGER
limadata_company_founded_year	Limadata Company Founded Year	STRING
limadata_company_headquarters	Limadata Company Headquarters	STRING
limadata_company_profile_image_url	Limadata Company Profile Image URL	STRING
limadata_company_cover_image_url	Limadata Company Cover Image URL	STRING
limadata_company_specialities	Limadata Company Specialities	STRING

BitScale Enrichment Fields

Name	Display Name	Data Type
bitscale_linkedin_url	Bitscale LinkedIn URL	STRING
bitscale_name	Bitscale Name	STRING
bitscale_company_domain	Bitscale Company Domain	STRING
bitscale_work_email	Bitscale Work Email	STRING
bitscale_phone_number	Bitscale Phone Number	STRING
bitscale_linkedin_url	Bitscale LinkedIn URL	STRING
bitscale_name	Bitscale Name	STRING
bitscale_company_domain	Bitscale Company Domain	STRING
bitscale_work_email	Bitscale Work Email	STRING
bitscale_phone_number	Bitscale Phone Number	STRING
bitscale_id	Bitscale ID	INTEGER
bitscale_status	Bitscale Status	STRING
bitscale_profile_pic	Bitscale Profile Pic	STRING
bitscale_links	Bitscale Links	STRING
bitscale_location	Bitscale Location	STRING
bitscale_current_title	Bitscale Current Title	STRING
bitscale_current_employer	Bitscale Current Employer	STRING
bitscale_current_employer_id	Bitscale Current Employer ID	INTEGER
bitscale_current_employer_domain	Bitscale Current Employer Domain	STRING
bitscale_current_employer_website	Bitscale Current Employer Website	STRING
bitscale_current_employer_linkedin_url	Bitscale Current Employer LinkedIn URL	STRING
bitscale_skills	Bitscale Skills	STRING
bitscale_birth_year	Bitscale Birth Year	INTEGER
bitscale_region_latitude	Bitscale Region Latitude	DOUBLE
bitscale_region_longitude	Bitscale Region Longitude	DOUBLE
bitscale_city	Bitscale City	STRING
bitscale_region	Bitscale Region	STRING
bitscale_country	Bitscale Country	STRING
bitscale_country_code	Bitscale Country Code	STRING
bitscale_npi_data	Bitscale Npi Data	STRING
bitscale_npi_number	Bitscale Npi Number	STRING
bitscale_credentials	Bitscale Credentials	STRING
bitscale_license_number	Bitscale License Number	STRING
bitscale_specialization	Bitscale Specialization	STRING
bitscale_tags	Bitscale Tags	STRING
bitscale_recommended_email	Bitscale Recommended Email	STRING
bitscale_recommended_personal_email	Bitscale Recommended Personal Email	STRING
bitscale_recommended_professional_email	Bitscale Recommended Professional Email	STRING
bitscale_current_work_email	Bitscale Current Work Email	STRING
bitscale_current_personal_email	Bitscale Current Personal Email	STRING
bitscale_email	Bitscale Email	STRING
bitscale_smtp_valid	Bitscale Smtp Valid	STRING
bitscale_email_type	Bitscale Email Type	STRING
bitscale_last_validation_check	Bitscale Last Validation Check	STRING
bitscale_grade	Bitscale Grade	STRING
bitscale_phone_type	Bitscale Phone Type	STRING
bitscale_phone_validity	Bitscale Phone Validity	STRING
bitscale_phone_recommended	Bitscale Phone Recommended	BOOLEAN
bitscale_phone_premium	Bitscale Phone Premium	BOOLEAN
bitscale_phone_last_checked	Bitscale Phone Last Checked	DATETIME
bitscale_id	Bitscale Id	INTEGER
bitscale_status	Bitscale Status	STRING
bitscale_profile_pic	Bitscale Profile Pic	STRING
bitscale_links	Bitscale Links	STRING
bitscale_location	Bitscale Location	STRING
bitscale_current_title	Bitscale Current Title	STRING
bitscale_current_employer	Bitscale Current Employer	STRING
bitscale_current_employer_id	Bitscale Current Employer ID	INTEGER
bitscale_current_employer_domain	Bitscale Current Employer Domain	STRING
bitscale_current_employer_website	Bitscale Current Employer Website	STRING
bitscale_current_employer_linkedin_url	Bitscale Current Employer LinkedIn URL	STRING
bitscale_skills	Bitscale Skills	STRING
bitscale_birth_year	Bitscale Birth Year	INTEGER
bitscale_region_latitude	Bitscale Region Latitude	DOUBLE
bitscale_region_longitude	Bitscale Region Longitude	DOUBLE
bitscale_city	Bitscale City	STRING
bitscale_region	Bitscale Region	STRING
bitscale_country	Bitscale Country	STRING
bitscale_country_code	Bitscale Country Code	STRING
bitscale_npi_data	Bitscale Npi Data	STRING
bitscale_npi_number	Bitscale Npi Number	STRING
bitscale_credentials	Bitscale Credentials	STRING
bitscale_license_number	Bitscale License Number	STRING
bitscale_specialization	Bitscale Specialization	STRING
bitscale_tags	Bitscale Tags	STRING
bitscale_recommended_email	Bitscale Recommended Email	STRING
bitscale_recommended_personal_email	Bitscale Recommended Personal Email	STRING
bitscale_recommended_professional_email	Bitscale Recommended Professional Email	STRING
bitscale_current_work_email	Bitscale Current Work Email	STRING
bitscale_current_personal_email	Bitscale Current Personal Email	STRING
bitscale_email	Bitscale Email	STRING
bitscale_smtp_valid	Bitscale Smtp Valid	STRING
bitscale_email_type	Bitscale Email Type	STRING
bitscale_last_validation_check	Bitscale Last Validation Check	STRING
bitscale_grade	Bitscale Grade	STRING
bitscale_phone_type	Bitscale Phone Type	STRING
bitscale_phone_validity	Bitscale Phone Validity	STRING
bitscale_phone_recommended	Bitscale Phone Recommended	BOOLEAN
bitscale_phone_premium	Bitscale Phone Premium	BOOLEAN
bitscale_phone_last_checked	Bitscale Phone Last Checked	DATETIME

6sense Enrichment Fields

We partner with 6sense to bring you enrichment across two levels: Person Level Enrichment and Account Level Enrichment

1. Person Level Enrichment Fields

Field	Display Name	Data Type
enr_ss_id	6Sense Person Id	STRING
enr_ss_email	6Sense Person Email	STRING
enr_ss_email_confidence	6Sense Person Email Confidence	STRING
enr_ss_full_name	6Sense Person Full Name	STRING
enr_ss_first_name	6Sense Person First Name	STRING
enr_ss_last_name	6Sense Person Last Name	STRING
enr_ss_education	6Sense Person Education	STRING
enr_ss_skills	6Sense Person Skills	STRING
enr_ss_city	6Sense Person City	STRING
enr_ss_state	6Sense Person State	STRING
enr_ss_country	6Sense Person Country	STRING
enr_ss_postal_code	6Sense Person Postal Code	STRING
enr_ss_function	6Sense Person Function	STRING
enr_ss_level	6Sense Person Job Level	STRING
enr_ss_division	6Sense Person Division	STRING
enr_ss_title	6Sense Person Title	STRING
enr_ss_linkedin_url	6Sense Person LinkedIn URL	STRING
enr_ss_twitter_url	6Sense Person Twitter URL	STRING
enr_ss_facebook_url	6Sense Person Facebook URL	STRING
enr_ss_phone	6Sense Person Phone	STRING

2. Account Level Enrichment Fields

Field	Display Name	Data Type
enr_ss_domain	6Sense Account Domain	STRING
enr_ss_name	6Sense Account Name	STRING
enr_ss_region	6Sense Account Region	STRING
enr_ss_country	6Sense Account Country	STRING
enr_ss_country_iso_code	6Sense Account Country ISO Code	STRING
enr_ss_state	6Sense Account State	STRING
enr_ss_city	6Sense Account City	STRING
enr_ss_industry	6Sense Account Industry	STRING
enr_ss_employee_range	6Sense Account Employee Range	STRING
enr_ss_revenue_range	6Sense Account Revenue Range	STRING
enr_ss_scores	6Sense Account Scores	STRING
enr_ss_phone	6Sense Account Phone	STRING
enr_ss_sic	6Sense Account SIC code	STRING
enr_ss_naics	6Sense Account NAICS code	STRING
enr_ss_sic_description	6Sense Account SIC Description	STRING
enr_ss_naics_description	6Sense Account NAICS Description	STRING

Apollo Enrichment Fields

We partner with Apollo to bring you enrichment across two levels: Person Level Enrichment and Account Level Enrichment

1. Person Level Enrichment Fields

Field	Display Name	Data Type
enr_email	Apollo Person Email	STRING
enr_first_name	Apollo Person First Name	STRING
enr_last_name	Apollo Person Last Name	STRING
enr_name	Apollo Person Name	STRING
enr_photo_url	Apollo Person Photo Url	STRING
enr_twitter_url	Apollo Person Twitter Url	STRING
enr_github_url	Apollo Person Github Url	STRING
enr_linkedin_url	Apollo Person Linkedin Url	STRING
enr_facebook_url	Apollo Person Facebook Url	STRING
enr_headline	Apollo Person Headline	STRING
enr_state	Apollo Person State	STRING
enr_city	Apollo Person City	STRING
enr_country	Apollo Person Country	STRING
enr_phone_number	Apollo Person Phone Number	STRING
enr_apollo_id	Apollo Person Apollo Id	STRING
enr_apollo_organization_id	Apollo Person Apollo Organization Id	STRING

2. Account Level Enrichment Fields

Field	Display Name	Data Type
enr_domain	Apollo Account Domain	STRING
enr_name	Apollo Account Name	STRING
enr_website_url	Apollo Account Website Url	STRING
enr_blog_url	Apollo Account Blog Url	STRING
enr_linkedin_url	Apollo Account Linkedin Url	STRING
enr_twitter_url	Apollo Account Twitter Url	STRING
enr_facebook_url	Apollo Account Facebook Url	STRING
enr_angellist_url	Apollo Account Angel List Url	STRING
enr_alexa_ranking	Apollo Account Alexa Ranking	NUMERIC
enr_phone	Apollo Account Phone	STRING
enr_linkedin_uid	Apollo Account Linkedin Uid	STRING
enr_founded_year	Apollo Account Founded Year	NUMERIC
enr_publicly_traded_symbol	Apollo Account Publicly Traded Symbol	STRING
enr_publicly_traded_exchange	Apollo Account Publicly Traded Exchange	STRING
enr_logo_url	Apollo Account Logo Url	STRING
enr_crunchbase_url	Apollo Account Crunchbase Url	STRING
enr_industry	Apollo Account Industry	STRING
enr_keywords	Apollo Account Keywords	STRING
enr_estimated_num_employees	Apollo Account Estimated Num Employees	NUMERIC
enr_employee_range	Apollo Account Employee Range	STRING
enr_retail_location_count	Apollo Account Retail Location Count	STRING
enr_raw_address	Apollo Account Raw Address	STRING
enr_street_address	Apollo Account Street Address	STRING
enr_city	Apollo Account City	STRING
enr_state	Apollo Account State	STRING
enr_postal_code	Apollo Account Postal Code	STRING
enr_country	Apollo Account Country	STRING
enr_owned_by_organization_id	Apollo Account Owned By Organization Id	STRING
enr_num_suborganizations	Apollo Account Num Suborganization	NUMERIC
enr_seo_description	Apollo Account Seo Description	STRING
enr_short_description	Apollo Account Short Description	STRING
enr_annual_revenue_printed	Apollo Account Annual Revenue Printed	STRING
enr_annual_revenue	Apollo Account Annual Revenue	NUMERIC
enr_total_funding	Apollo Account Total Funding	NUMERIC
enr_total_funding_printed	Apollo Account Total Funding Printed	STRING
enr_latest_funding_round_date	Apollo Account Latest Funding Round Date	STRING
enr_latest_funding_stage	Apollo Account Latest Funding Stage	STRING
enr_technology_names	Apollo Account Technology Names	STRING
enr_current_technologies	Apollo Account Current Technologies	STRING
enr_departmental_head_count	Apollo Account Departmental Head Count	STRING

Autobound Insights

We partner with Autobound to deliver access to over 350 unique insights, enabling you to gain a significant competitive advantage. In addition, Autobound enhances your outreach by enriching emails with hyper-personalized content that resonates with your prospects.

Outlined below is a selection of the insights provided through Autobound

Insights	Insight Category
Company business model	Business Model
Employee breakdown and growth (by dept & over time)	Business Model
Market trends	Business Model
Prospect location	Work Experience
Recent job change	Work Experience
Upcoming work anniversary	Work Experience
Job description	Social Media
Personalize based on LinkedIn (about, current job)	Social Media
Prospect mentioned in the podcast	Social Media
Prospect's recent LinkedIn posts with comments (beta)	Social Media
Prospect a colleague's previous employee is your customer	Shared Experiences
Prospect's previous company is a customer	Shared Experiences
Shared customer	Shared Experiences
Shared past employer user colleague	Shared Experiences
Company hires new leadership	Prospect Competitor News
Company makes an investment	Prospect Competitor News
Decreases headcount	Prospect Competitor News
Developing a new offering	Prospect Competitor News
Email history with prospect & colleagues	Previous Interactions
Previous meetings with the prospect & colleagues	Previous Interactions
Launches new offering	News
Merger	News
New customer	News
New or existing competitor	News
Hiring customer service roles	Hiring Trends
Hiring engineering roles	Hiring Trends
Hiring facilities management roles	Hiring Trends
Hiring finance roles	Hiring Trends
Hiring hiring velocity	Hiring Trends
Company is earning less and profits are shrinking	Financial
Company's earnings and operational efficiency are too low	Financial
Company's earnings are dwindling, not making efficient profit from revenue	Financial
Company's high spending hints at fast growth, potential security risks	Financial
School mascot	Education
Competitor's earnings call	Competitive Intel
Names of prospect's competitors	Competitive Intel
Prospect's competitor is your customer	Competitive Intel
Prospect's case study	Company highlight
Prospect's customers	Company highlight
Prospect's investors	Company highlight
Company business model	Business Model
Employee breakdown and growth (by dept & over time)	Business Model
Market trends	Business Model
Behavioral profile: personality type	Behavioral
Investing in hr productivity	10-K: HR & People Management
Launched a major D&I program	10-K: HR & People Management
Low employee engagement scores	10-K: HR & People Management
Significant change in engineering expenses from last year	10-K: Financial Performance
Significant change in legal expenses from last year	10-K: Financial Performance
Significant change in marketing expenses from last year	10-K: Financial Performance
Significant change in operational expenses from last year	10-K: Financial Performance
Inadequate data analytics capabilities	10-K: Digital Transformation & Technology
Inadequate mobile app performance	10-K: Digital Transformation & Technology
Investing in it productivity	10-K: Digital Transformation & Technology
Inadequate disaster recovery plans	10-K: Cybersecurity & Risk Management
Inadequate protection against counterfeiting	10-K: Cybersecurity & Risk Management
Inadequate risk management practices	10-K: Cybersecurity & Risk Management
Inadequate customer feedback mechanisms	10-K: Customer Relations
Inconsistent customer experience across channels	10-K: Customer Relations
Increasing customer churn rate	10-K: Customer Relations
Inefficient customer success processes	10-K: Customer Relations
Inefficient customer support processes	10-K: Customer Relations

Snitcher Enrichment Fields

Field Name	Display Name	Data Type
location_locality	Visitor City (GeoIP)	STRING
location_region	Visitor State/Region (GeoIP)	STRING
location_country	Visitor Country (GeoIP)	STRING
company_confidence	Company Match Confidence	STRING
company_name	Company Name	STRING
company_display_name	Name	STRING
company_website	Domain	STRING
company_industry	Industry	STRING
company_size	Company Size Range	STRING
company_employee_count	Num Employees	STRING
company_inferred_revenue	Annual Revenue Bucket	STRING
company_description	Company Description	STRING
company_phone	Company Phone Number	STRING
company_founded_year	Company Founded Year	INTEGER
company_total_funding	Company Total Funding	NUMERIC
company_social_profiles	Company Social Profiles	STRING (JSON)
company_location_name	Company Location Name	STRING
company_location_locality	Company City	STRING
company_location_region	Company State/Region	STRING
company_location_country	Country	STRING
company_location_street_address	Company Street Address	STRING
company_location_postal_code	Company Postal Code	STRING
company_tags	Tags	STRING

5x5Coop Enrichment Field

Field Name	Display Name	Data Type
company_name	Company Name	STRING
company_domain	Company Domain	STRING
company_description	Company Description	STRING
company_linkedin_url	LinkedIn URL	STRING
related_domains	Related Domains	STRING
company_revenue	Annual Revenue	STRING
company_employee_count	Employee Count	INTEGER
primary_industry	Primary Industry	STRING
company_sic	SIC Code	STRING
company_naics	NAICS Code	STRING
company_address	Company Address (Line 1)	STRING
company_address_2	Company Address (Line 2)	STRING
company_city	City	STRING
company_state	State / Region	STRING
company_zip	Postal Code	STRING
company_phone	Company Phone Number	STRING
cc_id	Company Internal ID	STRING