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What is Mainstay Advisor Value Platform?

Mainstay's all-encompassing Advisor Value Platform offers a unified suite of solutions for marketing, sales, and customer success, designed to measure and communicate the worth of your products throughout the entire customer journey. The Marketing Value Advisor includes a self-service ROI assessment tool that integrates effortlessly with marketing automation platforms, providing a customizable user interface that encourages the creation of high-quality leads via interactive calculators. The Sales Value Advisor utilizes extensive experience in value engineering by moving to a cloud-based system, which simplifies the process of value selling and supports both direct and channel teams globally by automating tailored business impact assessments. In addition, the Customer Success Value Advisor improves and automates quarterly business reviews with focused reports on value realization, effectively gauging and articulating the tangible benefits to enhance customer adoption, satisfaction, and retention. This comprehensive strategy guarantees that every stage of the customer lifecycle is equipped with accurate tools aimed at producing quantifiable results, ultimately fostering a stronger relationship between the customer and the offerings. By integrating these various components, Mainstay creates a seamless experience that empowers users to fully understand and leverage the value of their investments.

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

Pricing not provided.
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

Mainstay

Date Founded

2001

Company Location

United States

Company Website

mainstaycompany.com/advisor-value-platform/

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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