The Data – Audiencelabhelp

Audience Builder
- Building Audiences 101
  - How to Use Pre-made Audiences
  - The Differencce Between B2B VS B2C Taxonomy
  - Using the Keyword Builder
  - Using Custom Models
  - B2B Builder
  - Enrichment
SuperPixel
- Installing and Using the SuperPixel
  - Installing the SuperPixel
  - Set-up the web-hook
  - Dealing with Duplicates
  - How to White Label the Pixel
  - Filtering By Cookie Vs IP Matches
Integrations
- AudienceLab Integrations
  - Facebook Sync
  - Facebook Shows Error Due to Custom Audience Policy - What Do I Do?
  - Facebook Says Audience Under 1,000 - How to Check Actual Size
  - Lookalikes Can Take Time to Show Full Size - How to Check Match Rate
- High Level
  - High Level Integration
- Using Boost Space
  - Using AudienceLab API Inside Boost.Space
  - Using JSON + HTTP to Process Data In Batches
The Data
- Inside AudienceLab Database
  - Online Primary Dataset
  - Offline Dataset
  - Scrape Traced Dataset
  - Core Data Set (Summary)
- Data Quality and Verification
  - Phone Numbers Quality Control
  - Email Verification
  - Adjusting Skiptrace ‘Match_by’ for better accuracy
Contact Data & Fields
- Different Fields to Use
  - Fields Guide
AudienceLab V3
- AudienceLab V3 Guide
  - Welcome to V3 (Getting Started)
  - Core Differences
  - Webhooks
  - Customer Data Platform
AudienceSync CDP
- Getting Started
  - How It Works
- Create a Source
  - Connect Your AudienceLab Account
- Choose a Destinations
  - Salesforce
  - Hubspot
  - MailChimp
  - HTTP End Point
  - Google Sheets
- Define a Model
  - Intro to Models
  - Using SQL for Advanced Models
  - SQL Templates
- Launch a Sync
  - Creating Syncs
  - Full Refresh Sync
  - Incremental Syncs
  - Cursor Fields

Inside AudienceLab Database

Online Primary Dataset

Offline Dataset

Scrape Traced Dataset

Core Data Set (Summary)

Data Quality and Verification

Phone Numbers Quality Control

Email Verification

Adjusting Skiptrace ‘Match_by’ for better accuracy