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Description
Datazapp specializes in providing powerful data append and enrichment services that help businesses improve their customer targeting and email marketing strategies. With solutions such as email, phone, demographic appends, and reverse email/IP appends, Datazapp ensures that companies can refresh and validate their contact lists, ensuring greater accuracy and engagement in marketing campaigns. Their platform allows businesses to quickly upload, map, and append data, offering real-time verification and a fast turnaround time, which helps save time and resources. The self-serve nature of the platform empowers companies to manage their data updates without relying on third-party assistance. Datazapp's tools go beyond simple data updating; they include advanced services like reverse email and phone matching, allowing companies to gain deeper insights into their contacts. The platform is designed to help businesses of all sizes enhance audience segmentation, improve conversion rates, and reduce bounce rates, all while maintaining a focus on compliance with data security standards. With its easy-to-use interface and high-quality data offerings, Datazapp provides businesses with an essential tool for refining their marketing outreach and optimizing customer acquisition.
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
API Access
Has API
Integrations
Amazon Web Services (AWS)
Databricks
Facebook
Google
Jupyter Notebook
LiveRamp Clean Room
Microsoft Azure
Integrations
Amazon Web Services (AWS)
Databricks
Facebook
Google
Jupyter Notebook
LiveRamp Clean Room
Microsoft Azure
Pricing Details
$0.03 per data append
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Datazapp
Founded
2010
Country
United States
Website
www.datazapp.com
Vendor Details
Company Name
Habu
Country
United States
Website
habu.com
Product 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
Sales Intelligence
CRM Integration
Data Cleaning
Data Enrichment
Data Import/Export
Data Mining
Data Verification
Email Integration
Lead Scoring
List Building
Performance Management
Pipeline Management
Predictive Modeling/Analytics
Prospecting Tools
Reporting/Analytics
Sales Forecasting
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics