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What is Ibbaka?

Ibbaka is a Customer Value Management platform tailored for B2B SaaS teams, providing essential tools to secure larger contracts, enhance customer loyalty, and implement pricing strategies that genuinely reflect their product's value. At its core, the platform features the Value Model Generation Agent, which employs artificial intelligence to formulate and validate a personalized value model based on customer interviews, historical data, and synthetic benchmarks. This generated model works in tandem with pricing agents and expert analysis, establishing it as the ultimate resource for refining and testing pricing methodologies. In addition, Ibbaka compiles value and pricing data into engaging dashboards and persuasive "value stories," enabling sales teams to effectively demonstrate measurable ROI to prospective clients. Meanwhile, customer success teams leverage comprehensive, results-driven dashboards to reduce churn rates and boost renewal statistics. As a versatile and data-centric solution, Ibbaka ensures that all discussions are supported by solid evidence, that every pricing decision reflects customer value, and that each renewal process is seamless and straightforward. Ultimately, it enhances the overall customer engagement experience, leading to stronger relationships and fostering long-term growth. By integrating advanced analytics and user-friendly interfaces, Ibbaka not only streamlines operations but also empowers teams to make informed decisions that drive success.

What is DecisionLink ValueCloud?

ValueCloud® provides a comprehensive framework and repository that effectively stores and analyzes essential customer value data, converting it into actionable insights and valuable resources for various departments within the organization, such as product management, marketing, sales, value engineering, professional services, and customer success. Recognizing customer value is vital as it signifies an important evolution in Customer Relationship Management, where genuine connections with customers rely heavily on the value they perceive. Unfortunately, current CRM systems and other business applications often fall short of the capabilities required for efficient customer value management. We believe that any organization seeking to shift towards higher value and more profitable business models must regard customer value as a key strategic asset; doing so will not only enhance competitive edge but also enrich dialogues, foster trusted advisor relationships, and ultimately lead to better business results. In prioritizing customer value management, companies can more adeptly navigate the challenges and intricacies of today's competitive markets, ensuring sustained growth and customer satisfaction in the long run.

Media

Media

Integrations Supported

Indent
Microsoft Dynamics 365
Salesforce

Integrations Supported

Indent
Microsoft Dynamics 365
Salesforce

API Availability

Has API

API Availability

Has API

Pricing Information

$4,900 per year
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Ibbaka

Date Founded

2020

Company Location

Canada

Company Website

www.ibbaka.com

Company Facts

Organization Name

DecisionLink

Date Founded

1995

Company Location

United States

Company Website

www.decisionlink.com/products/

Categories and Features

Categories and Features

Customer Data Platforms (CDP)

Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling

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