How TLG Marketing Uses AI-Driven Analytics to Enhance Customer Feedback Response and Satisfaction in Retail

By: GoBeyond Team

July 27, 2025

3 min read

TLG Marketing AI customer feedback analytics interface

Quick Overview

TLG Marketing implemented AI-driven analytics for a retail client to unify feedback from various sources, reducing response time to inquiries by 40% and significantly boosting customer satisfaction scores through actionable insights and prioritization.

TLG Marketing

Company Size

Not publicly disclosed

Revenue Range

Not publicly disclosed

Primary Challenge

Improving response times and customer satisfaction by efficiently analyzing multi-source feedback

Key Metrics

- 40% faster response time
- Higher customer satisfaction
- Actionable insights for operational improvements

The Problem

Fragmented feedback caused slow responses and inconsistent customer service

The Solution

AI analytics platform integrated feedback streams and prioritized issues for faster resolution

Results

- Faster customer support
- Improved satisfaction scores
- Data-driven service enhancements

Details

Industry

Marketing & Advertising

Departments

Marketing & Content

Customer Support & Service

Use Cases

Customer Feedback Analysis

More Case Studies

See All

How Eleken Redesigned Populate to Streamline Clinician Documentation and Improve Patient Care

Healthcare & Medical

How Baleària Uses Zendesk AI Chatbots to Deflect Tickets and Achieve a 96% CSAT Score in Travel Support

Hospitality & Tourism

How Oxford VR Combines AI and Virtual Reality to Improve PTSD Treatment

Mental Health

How World Wildlife Fund Uses AI to Track Endangered Species and Combat Poaching

Nonprofit & NGO

How Uber Uses Advanced Data Visualization to Clarify Pricing and Support Decision-Making

Technology & SaaS

How Obayashi Corporation’s AiCorb Uses AI to Rapidly Generate Building Facade Designs and Streamline Architectural Workflows

Construction