Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
LayerFive employs innovative AI technology that is currently patent-pending to identify consumer identities across a wide range of enterprise data sources, both online, such as websites and mobile applications, and offline, including CRM systems, loyalty programs, and order management systems, thereby creating a cohesive consumer profile. This foundational platform enhances marketing return on investment by more than double through its omni-channel attribution and consumer journey analytics capabilities, which are integral to the 360 Marketing Analytics product. Furthermore, LayerFive aids businesses in adhering to data privacy laws like GDPR and CCPA by providing consumers with direct access to their profiles for self-managed privacy compliance, resulting in significant cost savings and minimizing the risk of regulatory breaches. The technology utilizes both deterministic and patent-pending probabilistic methods to integrate consumer data from all enterprise sources seamlessly. Additionally, LayerFive's first-party tagging system captures high-quality data from enterprise websites without compromising data integrity due to the decline of third-party cookies, ensuring that businesses can still derive valuable insights from their data assets. Ultimately, this approach not only maximizes marketing effectiveness but also fosters trust with consumers by prioritizing their privacy and data security.
Description
NetOwl EntityMatcher offers a reliable, swift, and expandable solution for identity resolution, taking into account not just the similarities in entity names but also critical attributes like date of birth, place of birth, address, and nationality. Additionally, it allows for identity resolution using social network details, including information about an individual's employer, spouse, or associates. Utilizing its proprietary search and indexing engine, NetOwl can combine evidence from various entity record attributes, providing a highly effective, scalable, and user-friendly approach to matching. Users can define application-specific business rules that dictate which combinations of record attributes need to be matched and establish the importance of each attribute. Furthermore, by incorporating our machine learning-driven multicultural and multilingual name matching solution, NetOwl NameMatcher, the system enhances the sophistication of name matching across different types of entities. This integration ensures that identity resolution maintains a high level of accuracy and adaptability in diverse scenarios.
API Access
Has API
No
API Access
Has API
Yes
Integrations
ArcGIS
No
Elasticsearch
No
Google Maps
No
IBM Cloud
No
Kibana
No
Magento
Yes
MarkLogic
No
Palantir Apollo
No
Shopify
Yes
SolrCommerce
No
Integrations
ArcGIS
Yes
Elasticsearch
Yes
Google Maps
Yes
IBM Cloud
Yes
Kibana
Yes
Magento
No
MarkLogic
Yes
Palantir Apollo
Yes
Shopify
No
SolrCommerce
Yes
Pricing Details
$499 per month
Free Trial
Yes
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
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
LayerFive
Founded
2019
Country
United States
Website
www.layerfive.com
Vendor Details
Company Name
NetOwl
Founded
1996
Country
United States
Website
www.netowl.com/identity-resolution
Product Features
Customer Data Platforms (CDP)
Behavioral Analytics
No
Campaign Management
No
Customer Profiles
No
Customer Segmentation
No
Data Integration
No
Data Matching
No
GDPR Compliance
No
Personalization
No
Predictive Modeling
No