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What is Clientbook?

Many retailers have significantly improved their sales conversion rates and increased average transaction sizes by utilizing Clientbook. This mobile-focused platform customizes the shopping experience, strengthening the bond between customers and retailers. Studies reveal that customers who establish a personalized connection with their sales associates tend to spend 3.5 to 4 times more annually and are 33% more likely to return. Clientbook was specifically created to empower sales associates to build these important relationships. Imagine a customer walking into your store while you instantly have access to their identity, product preferences, and follow-up contact details. With Clientbook, sales associates obtain a holistic view of their customers, enabling them to interact effectively and close sales at the opportune moment. Furthermore, potential buys can be easily saved and shared via text or email with just a click, simplifying communication and improving customer satisfaction. Not only does Clientbook streamline the sales process, but it also fosters enduring customer loyalty. In today's competitive market, leveraging such innovative tools is essential for retailers aiming to thrive and maintain strong customer relationships.

What is 20:20 RDI Predictive Analytics?

Our team is comprised of talented data scientists and software engineers who work in close collaboration with professionals from the Consumer Packaged Goods (CPG) industry. Rather than simply being generalists, we have a thorough understanding of the intricate challenges that brands encounter in their dealings with retailers, which is reflected in the innovative solutions we deliver. Our insights are not only beneficial but also actionable across a range of business areas, such as field sales teams, key account managers, and customer marketing specialists. Acknowledging that selecting a solution provider is a crucial decision for any organization, we implement a concise 'Proof of Concept' phase that allows you to establish a strong business rationale for engaging with our experts. This initial phase is designed to be efficient, economical, and easy to implement, ensuring a smooth start to our collaboration. Within a few weeks, you will acquire a clearer understanding of the advantages that improved retail execution can provide, aiding in your planning and budgeting strategies. Furthermore, our dedication to harnessing big data and performing swift analyses guarantees that resources are allocated effectively, leading to substantial results for your business. With our expertise at your side, you will be well-equipped to navigate the complexities of the retail environment and make informed decisions that drive growth.

Media

Media

Integrations Supported

Music Shop 360

Integrations Supported

Music Shop 360

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

Clientbook

Date Founded

2018

Company Location

United States

Company Website

www.clientbook.com

Company Facts

Organization Name

20:20 Retail Data Insight

Date Founded

2000

Company Location

United States

Company Website

www.2020rdi.com/solutions/

Categories and Features

CRM

Calendar/Reminder System
Call Logging
Document Storage
Email Marketing
Internal Chat Integration
Lead Scoring
Marketing Automation Integration
Mobile Access
Quotes / Proposals
Segmentation
Social Media Integration
Task Management
Territory Management

Categories and Features

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

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