Identity Graph Features
Here's a comprehensive list of features that a US consumer and US business identity graph could contain:
1. Consumer Features:
a. Name (First Name, Last Name)
b. Gender
c. Age or Date of Birth
d. Contact Information (Phone Number, Email Address, Mailing Address)
e. Social Media Profiles (LinkedIn, Twitter, Facebook, etc.)
f. Demographic Information (Ethnicity, Marital Status, Household Income, Education Level)
g. Interests and Hobbies
h. Purchase History and Behavior
i. Online Behavior (Browsing history, Clickstream data)
j. Device IDs (Mobile, Tablet, Desktop)
k. Location Data (Geographic Information, IP Address)
l. Affiliations (Memberships, Organizations)
m. Social Influence or Klout Score
n. Customer Segmentation or Classification
2. Business Features:
a. Business Name
b. Business Type or Industry
c. Contact Information (Phone Number, Email Address, Mailing Address)
d. Website URL
e. Social Media Profiles (LinkedIn, Twitter, Facebook, etc.)
f. Business Size (Employee Count, Annual Revenue)
g. Geographic Location (Headquarters, Branches)
h. Business Ownership Type (Sole Proprietorship, Partnership, Corporation)
i. Business Registration Information (EIN, Tax ID)
j. Business Affiliations or Partnerships
k. Business Credit History and Score
l. Business Contacts and Decision-Makers
m. Company Hierarchy or Parent-Subsidiary Relationships
n. Industry-specific Data (e.g., SIC/NAICS codes for classification)
Here's a comprehensive list of features that a US business identity graph could contain, specifically focusing on their tech stack and ad spend:
1. Tech Stack Features:
a. Website Domain(s)
b. Content Management System (CMS) Used
c. E-commerce Platform (if applicable)
d. Customer Relationship Management (CRM) Platform
e. Marketing Automation Tools
f. Email Service Provider (ESP)
g. Data Analytics and Reporting Tools
h. Customer Support and Helpdesk Software
i. Ad Serving and Display Advertising Platforms
j. Social Media Management Tools
k. Search Engine Optimization (SEO) Tools
l. Content Marketing Platforms
m. Customer Data Platform (CDP) or Data Management Platform (DMP)
n. Retargeting or Remarketing Platforms
o. Data Integration and ETL (Extract, Transform, Load) Tools
p. Web Analytics Platform (e.g., Google Analytics)
q. A/B Testing and Conversion Optimization Tools
r. Payment Processors or Gateways
s. Mobile App Development Frameworks (if applicable)
t. API Integrations and Web Services
2. Ad Spend Features:
a. Advertising Budget (Overall or by Channels)
b. Channels of Ad Spend (e.g., Search, Display, Social, Video)
c. Ad Network or Demand-Side Platform (DSP) Usage
d. Ad Campaign Metrics (Impressions, Clicks, Conversions)
e. Cost per Click (CPC) or Cost per Acquisition (CPA) Data
f. Ad Creative Versions and Variations
g. Targeting Parameters (Demographics, Geographics, Interests, etc.)
h. Ad Placements (Websites, Apps, Publishers)
i. Ad Scheduling and Frequency Capping
j. Performance Metrics (ROAS, ROI, CTR, Conversion Rate)
k. Ad Testing and Optimization Strategies
l. Ad Spend Allocation by Device (Desktop, Mobile, Tablet)
m. Ad Spend Allocation by Campaign Objective (Awareness, Consideration, Conversion)
n. Attribution Model and Tracking Methodologies
o. Ad Fraud Detection and Prevention Measures
p. Ad Spend Trends and Historical Data
q. Competitor Ad Spend Analysis (if available)
r. Ad Spend Efficiency and Performance Benchmarks
These features can provide insights into a business's technology infrastructure, marketing capabilities, and advertising expenditures. They enable a comprehensive understanding of the tools and platforms used, as well as the effectiveness of their ad spend strategies. It's important to note that the actual features may vary based on the specific business's tech stack and advertising practices.
3. Identity Graph Features:
a. Unique Identifier for Consumer and Business Records
b. Data Linkages and Associations between Consumer and Business Profiles
c. Data Sources and Integration Points
d. Data Confidence or Quality Scores
e. Identity Resolution Rates or Probabilities
f. Timestamps or Last Updated Dates for Data Entries
g. Privacy and Consent Management Information
h. Data Governance and Compliance Features (GDPR, CCPA, etc.)
i. Integration with Third-Party Data Providers for Enrichment
j. Cross-Device Tracking and Linkage
These features provide a foundation for building a comprehensive US consumer and US business identity graph, allowing for effective data management, analysis, and targeted marketing efforts. It's important to note that the actual implementation and features may vary based on the specific data sources, integration methods, and business requirements.