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Average Ratings 0 Ratings
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
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Google Chrome
Yes
LinkedIn
Yes
LinkedIn Sales Navigator
Yes
Microsoft Excel
No
Integrations
Google Chrome
No
LinkedIn
No
LinkedIn Sales Navigator
No
Microsoft Excel
Yes
Pricing Details
$49/month
Free Trial
No
Free Version
Yes
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)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
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
No
Document Extraction
No
Email Address Extraction
No
IP Address Extraction
No
Image Extraction
No
Phone Number Extraction
No
Pricing Extraction
No
Web Data Extraction
No
Lead Generation
Contact Discovery
No
Contact Import/Export
No
Lead Capture
No
Lead Database Integration
No
Lead Nurturing
No
Lead Scoring
No
Lead Segmentation
No
Pipeline Management
No
Prospecting Tools
No
Visitor Identification
No
Product Features
Decision Support
Application Development
No
Budgeting & Forecasting
No
Data Analysis
No
Decision Tree Analysis
No
Monte Carlo Simulation
No
Performance Metrics
No
Rules-Based Workflow
No
Sensitivity Analysis
No
Thematic Mapping
No
Version Control
No