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What is Improver?

We have combined insights from Jan Tegze's independent study with data on the pricing of similar products. The resulting analysis shows that Improver is currently the leading tool for discovering personal email addresses. Selecting the right tool is essential for both recruiters and sales professionals in their respective fields. The faster you can pinpoint the necessary contacts, the quicker you can either fill a vacancy or secure a sale. When choosing an email finder, we expect it will reduce the need for additional resources to gather someone's contact details. With just one click, you gain access to personal contacts for almost anyone you may need. Our information is meticulously double-verified and continually refreshed to maintain its accuracy. This unwavering dedication to quality ensures that users can depend on the information for their important tasks. In a landscape where time is of the essence, having immediate access to reliable contact information can significantly enhance productivity.

What is DaData?

Thorough data on addresses and businesses is essential, offering in-depth insights into clients and counterparties. Such information underpins a variety of operations including sales, marketing, logistics, distribution, scoring, and analytics. The system not only automates the verification, correction, and geocoding of addresses but also provides comprehensive details about companies, entrepreneurs, and financial institutions. Furthermore, it extracts full names from text and cross-references passport information with the Ministry of Internal Affairs' database. It also validates phone numbers against Rossvyaz to determine the operator and filters out disposable email addresses. In the Russian context, it identifies cities using postal codes linked to IP addresses and can conduct bulk checks and corrections of contact information via files or APIs. This tool enables the prompt and precise entry of critical data, encompassing addresses, company and bank information, full names, and emails. It also recognizes duplicate and similar clients, addresses, phone numbers, or retail sites while uncovering overlaps among various target demographics for marketers. By optimizing data collection and validation workflows, it significantly boosts marketing strategies and enhances overall operational effectiveness, ensuring that businesses can make informed decisions rapidly. Such advancements in data management are vital for maintaining a competitive edge in today’s fast-paced market environment.

Media

Media

Integrations Supported

CS-Cart Free
Google Chrome
LinkedIn
Pipedream
SourceWhale

Integrations Supported

CS-Cart Free
Google Chrome
LinkedIn
Pipedream
SourceWhale

API Availability

Has API

API Availability

Has API

Pricing Information

$15 per month
Free Trial Offered?
Free Version

Pricing Information

$65 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

Improver

Company Website

improver.io

Company Facts

Organization Name

DaData.ru

Date Founded

2012

Company Location

Russia

Company Website

dadata.ru/

Categories and Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

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

Categories and Features

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

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