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Average Ratings 0 Ratings

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ease
features
design
support

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Description

DataReclaimer is a powerful SaaS platform and Chrome extension that simplifies the process of extracting data from LinkedIn and LinkedIn Sales Navigator. It automates the collection of structured and valuable data such as contact details, job titles, company names, and other important information, helping users stay organized and save significant amounts of time. Designed for busy professionals in sales, recruitment, and business development, DataReclaimer makes it easier than ever to engage with key decision-makers and qualified prospects. With features that allow the extraction of detailed insights from LinkedIn profiles, users can build more effective sales pipelines, optimize their recruiting efforts, and enhance their outreach strategies. This tool is not just about data extraction; it’s about improving the quality of your interactions and fostering stronger relationships with your target audience. DataReclaimer allows for easy export to formats like CSV and Excel, making it highly adaptable and easy to incorporate into existing workflows and CRM systems.

Description

Sales teams in logistics and wholesale are experiencing significant growth due to the integration of decision intelligence and ERP automation. Sales managers at prominent B2B companies in the SME sector are turning to acto to streamline their operational processes. The B2B sales landscape is saturated with various sources of information and manual tasks stemming from ERP, CRM, BI, and Excel spreadsheets. In the absence of effective prioritization, a staggering 80% of valuable insights go unutilized, causing sales teams to miss out on vital opportunities, potential risks, and customer anomalies. This overwhelming influx of data leads to an incessant quest for accurate answers, leaving a large portion of crucial insights untapped. Additionally, the manual searches that sales teams engage in often result in repetitive tasks, such as drafting quotes, interacting with customers, and entering orders, which further compounds inefficiency. Consequently, the reliance on unused data and manual operations can diminish the time allocated to engage with key customers, ultimately costing businesses up to 15% in potential sales revenue. By leveraging AI-driven analyses and automating ERP processes, organizations can significantly boost their B2B sales efficiency. This transformation not only enhances productivity but also empowers sales teams to capitalize on the insights that truly matter.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

Screenshots View All

Integrations

Google Chrome
LinkedIn
LinkedIn Sales Navigator
Microsoft Excel

Integrations

Google Chrome
LinkedIn
LinkedIn Sales Navigator
Microsoft Excel

Pricing Details

$49/month
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

DataReclaimer

Founded

2025

Country

India

Website

www.datareclaimer.com

Vendor Details

Company Name

acto

Country

Germany

Website

www.heyacto.com

Product Features

Data Extraction

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

Lead Generation

Contact Discovery
Contact Import/Export
Lead Capture
Lead Database Integration
Lead Nurturing
Lead Scoring
Lead Segmentation
Pipeline Management
Prospecting Tools
Visitor Identification

Product Features

Decision Support

Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control

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