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What is Habu?

Retrieve information from any setting, even amidst a wide range of different environments. To effectively enhance acquisition and retention, it is essential to enrich both data and models. By utilizing machine learning, valuable insights can be discovered by securely integrating proprietary models, such as propensity models, with data, thereby improving customer profiles and models while facilitating rapid scalability. However, merely enriching data is not enough; your team must effectively transition from insights to actionable plans. Streamline the audience segmentation process and launch your campaigns immediately across multiple channels. Make well-informed targeting decisions to maximize budget efficiency and minimize churn rates. It is vital to recognize the best timing and locations for your targeting efforts. Equip yourself with the essential tools to respond to data in real-time. Navigating the entire customer journey, alongside the diverse data types involved, has consistently been a challenge. With the rising demands of privacy regulations and the expanding distribution of data, ensuring secure and straightforward access to intent signals for effective decision-making is now more important than ever, which ultimately leads to improved operational efficiency. Additionally, a comprehensive understanding of these elements can empower organizations to adapt swiftly to changing market dynamics and consumer preferences.

What is Enrich Layer?

Enrich Layer operates as a comprehensive B2B data enrichment platform, providing a unified API that empowers developers and technical teams with extensive and up-to-date insights on individuals, organizations, job postings, and online activity, thus allowing applications and internal systems to improve user and prospect data without the complications of managing multiple vendors. By integrating and standardizing both public and structured data into a dependable RESTful JSON API, it enables users to access detailed professional profiles that encompass work experience, educational credentials, skill sets, contact details, firmographics like revenue and industry, along with real-time market indicators such as active job openings and SEO trends. This versatile functionality is beneficial for a range of applications including CRM enrichment, lead scoring, recruitment tools, sales intelligence, and analytical solutions. Furthermore, Enrich Layer combines various curated data sources into a single, scalable layer that adapts efficiently to usage, while providing powerful query options across datasets pertaining to people, companies, and job opportunities through bulk endpoints and webhooks. By utilizing these capabilities, teams can greatly automate and optimize their data enrichment processes, thereby improving overall operational efficiency and maximizing productivity in their workflows. This innovative approach ensures that businesses remain competitive by leveraging accurate and timely data to inform their strategies.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Databricks Data Intelligence Platform
Facebook
Google
JSON
Jupyter Notebook
LiveRamp Clean Room
Microsoft Azure

Integrations Supported

Amazon Web Services (AWS)
Databricks Data Intelligence Platform
Facebook
Google
JSON
Jupyter Notebook
LiveRamp Clean Room
Microsoft Azure

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$588 per year
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Habu

Company Location

United States

Company Website

habu.com

Company Facts

Organization Name

Enrich Layer

Company Location

United States

Company Website

enrichlayer.com

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Categories and Features

B2B Data

B2B Contact Data
B2B Intent Data
B2B Leads Data
B2B Marketing Data
Business Ownership Data
Company Data
Employee Data
Firmographic Data
Job Posting Data
Salary Data
Technographic Data

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