Cheers

For businesses with frontline teams, understanding brand reputation is critical but incomplete. Most tools provide anonymous, aggregated reports, leaving you to guess what's working and who your top performers are.

Cheers solves this with a powerful AI engine that creates the first real-time, employee-attributed dataset for your brand. Our platform automatically ingests and analyzes customer signals from dozens of sources—including online reviews, social media mentions, NPS surveys, and loyalty sign-ups—and links each piece of feedback directly to the individual employee involved.

Instead of vague reports, managers get a clear dashboard with specific, actionable insights: who to coach, who to recognize, and which actions genuinely improve customer experience. Companies like Vivint use Cheers to identify top talent and generate tens of thousands of new 5-star reviews. It's the system of record for frontline performance tied to reputation and revenue.

## How to Use

Connect Your Data: Easily integrate your customer feedback sources, such as Google Reviews, social media platforms, and NPS/CSAT survey tools.

View AI-Powered Insights: Our platform automatically analyzes and attributes every customer signal to the specific frontline employee involved, presenting the data on a clear, actionable dashboard.

Improve Performance: Use the insights to identify your top performers for recognition, pinpoint exact coaching opportunities for staff, and track brand reputation trends across all your locations.

## Key Features

- Reputation Management - Employee Recognition - Online Reviews - LLM Optimization - Frontline Management - Experience Management - Frontline Experience Management - AI-Powered Employee Attribution: Our core technology automatically links customer feedback from any source to individual employees. - Multi-Signal Aggregation: Unifies reviews, social mentions, NPS, CSAT, and loyalty data into a single source of truth. - Real-Time Performance Dashboard: Monitors brand health and employee impact at a glance, across all locations. - Actionable Coaching & Recognition Insights: Identifies specific customer interactions to inform effective staff coaching and rewards. - Cross-Location Analytics: Compares frontline performance and customer experience metrics across different branches, regions, or franchises. - Reputation & Revenue Correlation: Provides analytics that connect frontline performance trends to ratings, reviews, and revenue impact.

## Use Cases

- LLM Optimization - Boosting Online Ratings: For Marketing VPs looking to improve their online reputation and local SEO by activating their frontline team. - Standardizing Customer Experience: For Operations Directors managing multiple locations who need to ensure consistent, high-quality service. - Reducing Employee Turnover: For HR leaders aiming to improve frontline morale through fair, data-driven recognition and targeted coaching. - Identifying Top Talent: For District Managers who want to objectively identify their best-performing employees for promotion and raises.