Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The Lead to Account Matcher (L2A) is a specialized application for Salesforce designed to support teams implementing an Account-Based Marketing (ABM) approach, optimizing the connection between leads and facilitating the conversion of those leads into already established accounts within your database. This tool is available for a one-time payment, eliminating the need for any ongoing subscription fees. If leads enter your Salesforce organization for companies that are already listed as accounts, our advanced fuzzy logic matching feature can identify these accounts even if there are discrepancies in the naming. During the lead conversion process, the matcher also identifies associated leads for that company, giving you the option to transfer them all or none with just a single click. Furthermore, our Lead to Account Matcher is customizable through user settings, allowing you to adjust matching thresholds, exclude certain terms from the algorithm, and modify the fields shown in the matching interface—all without requiring any coding skills. This level of flexibility ensures that the tool can be tailored to meet specific business needs effectively.
Description
NetOwl NameMatcher, recognized for its excellence in the MITRE Multicultural Name Matching Challenge, delivers unparalleled accuracy, speed, and scalability in name matching solutions. By employing an innovative machine learning framework, NetOwl effectively tackles the intricate challenges of fuzzy name matching. Conventional methods like Soundex, edit distance, and rule-based systems often face significant issues with precision, leading to false positives, and recall, resulting in false negatives, when confronting the diverse fuzzy name matching scenarios outlined previously. In contrast, NetOwl leverages a data-driven, machine learning-based probabilistic strategy to address these name matching difficulties. It automatically generates sophisticated, probabilistic name matching rules from extensive, real-world multi-ethnic name variant datasets. Furthermore, NetOwl employs distinct matching models tailored to various entity types, such as individuals, organizations, and locations. To add to its capabilities, NetOwl also integrates automatic detection of name ethnicity, enhancing its adaptability to the complexities of multicultural name matching. This comprehensive approach ensures a higher level of accuracy and reliability in diverse applications.
API Access
Has API
API Access
Has API
Integrations
ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Palantir Apollo
Salesforce
SolrCommerce
Tableau
Integrations
ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Palantir Apollo
Salesforce
SolrCommerce
Tableau
Pricing Details
No price information available.
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
Eustace Consulting
Country
United States
Website
www.eustaceconsulting.com/lead-account-matcher/
Vendor Details
Company Name
NetOwl
Founded
1996
Country
United States
Website
www.netowl.com/name-matching-software
Product Features
Product Features
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management