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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Data and analytics serve as the foundation for solutions powered by Earnix. We utilize top-tier data science, advanced analytical modeling tools, optimization techniques, and machine learning to provide the most competitively priced and personalized financial products to each customer consistently. Our approach facilitates the creation and integration of both traditional GLM/GAM and machine learning models, ensuring these models are effectively utilized for pricing, rating, and personalization strategies. To achieve this, we have crafted a Hybrid Model that combines the predictive strengths of machine learning with the causal insights offered by classical statistical approaches. The Earnix platform features a comprehensive range of optimization algorithms designed to accommodate diverse pricing and rating structures, regulatory and business needs, as well as varying market conditions. These algorithms are capable of addressing intricate challenges, including portfolio optimization, lifetime value analysis, multi-product strategies, ranking, and customer-centric optimization dilemmas, providing a robust solution for financial institutions aiming to enhance their services.

Description

Ibbaka serves as a Customer Value Management platform designed to equip B2B SaaS teams with the tools needed to secure larger deals, improve customer retention, and establish pricing that accurately represents the value of their products. Central to its functionality is the Value Model Generation Agent, which harnesses AI to create and verify a custom value model derived from customer interviews, existing datasets, and synthetic benchmarks. This model collaborates with pricing agents and expert insights to become the definitive reference for testing and enhancing pricing strategies. Subsequently, Ibbaka consolidates value and pricing information into interactive dashboards and compelling “value stories” that empower sales teams to showcase measurable ROI to potential clients, while customer success teams utilize robust, results-oriented dashboards to minimize churn and elevate renewal rates. As a flexible, data-driven solution, Ibbaka guarantees that every discussion is backed by concrete evidence, each pricing decision mirrors customer value, and every renewal feels effortless. In this way, it streamlines the entire customer engagement process, fostering stronger relationships and driving sustainable growth.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$4,900 per year
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

Earnix

Country

United States

Website

earnix.com/analytics/in-action/

Vendor Details

Company Name

Ibbaka

Founded

2020

Country

Canada

Website

www.ibbaka.com

Product Features

Insurance Underwriting and Rating

Broker / Agent Portal
Carrier Upload
Commercial Lines
Comparative Insurance Rating
Customer Portal
For Casualty Insurance
For Health / Medical Insurance
For Life Insurance
For Personal Insurance
Multi-State
Multiple Line Rating

Mortgage and Loans

Amortization Schedule
Client Database
Closing Documents
Commercial Mortgages
Contact Management
Credit Reporting
Customer Statements
Document Management
Electronic Applications
Government Loans
Loan Origination
Loan Servicing
Pipeline Management
Pre-Qualification
Refinance Management
Residential Mortgages

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