Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Enrich Layer serves as a B2B data enrichment platform featuring a unified API designed to equip developers and technical teams with thorough, current intelligence on individuals, organizations, job listings, and online signals, enabling applications and internal systems to enhance user and prospect information without the hassle of managing several vendors. It consolidates and standardizes public and structured data into a reliable RESTful JSON API, allowing users to retrieve in-depth professional profiles that include work history, educational background, skill sets, contact information, firmographics like revenue and industry, as well as dynamic market indicators such as active job openings and SEO trends. This functionality supports various applications such as CRM enrichment, lead scoring, recruitment tools, sales intelligence, and analytical products. Moreover, Enrich Layer amalgamates multiple curated data sources into a singular layer that scales efficiently with usage, while also offering robust query capabilities across people, company, and job datasets through bulk endpoints and webhooks. With these features, teams can significantly automate and streamline their data enrichment workflows, enhancing overall operational efficiency.
Description
Access data from any location, even within a vast array of diverse environments. The most effective method to boost acquisition and retention is through the enrichment of data and models. By leveraging machine learning, new insights can be uncovered by integrating proprietary models, such as propensity models, with data in a secure manner, which enhances customer profiles and models while allowing for rapid scalability. Enriching data alone is insufficient; your team needs to transition smoothly from insights to actionable strategies. Automate the segmentation of audiences and deploy your campaigns instantly across various channels. Make informed targeting decisions to optimize budget utilization and reduce churn rates. Understand the optimal timing and locations for targeting efforts. Equip yourself with the necessary tools to act on data in real-time. Tracking the complete customer journey, along with the various data types involved, has always posed significant difficulties. With the increasing stringency of privacy regulations and the growing distribution of data, it is now more crucial than ever to ensure secure and straightforward access to those intent signals for effective decision-making, which will ultimately enhance overall operational efficiency.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
No
Databricks
No
Facebook
No
Google
No
JSON
Yes
Jupyter Notebook
No
LiveRamp Clean Room
No
Microsoft Azure
No
Tadata
Yes
Integrations
Amazon Web Services (AWS)
Yes
Databricks
Yes
Facebook
Yes
Google
Yes
JSON
No
Jupyter Notebook
Yes
LiveRamp Clean Room
Yes
Microsoft Azure
Yes
Tadata
No
Pricing Details
$588 per year
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Enrich Layer
Country
United States
Website
enrichlayer.com
Vendor Details
Company Name
Habu
Country
United States
Website
habu.com
Product Features
B2B Data
B2B Contact Data
No
B2B Intent Data
No
B2B Leads Data
No
B2B Marketing Data
No
Business Ownership Data
No
Company Data
No
Employee Data
No
Firmographic Data
No
Job Posting Data
No
Salary Data
No
Technographic Data
No
Product Features
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No