Online Reputation Management Research
Original research from ReputationStacker on how businesses collect online reviews, respond to customer feedback, use AI, and manage reputation across multiple locations.
Featured research report
State of Online Reputation Management & Customer Experience
Start with our flagship study, covering review requests, customer feedback, AI adoption, multi-location reputation management, and measuring reputation management ROI.
Explore specialized research
AI in Reputation Management
Research on AI-assisted review replies, human oversight, feedback analysis, and time savings.
Customer Feedback Analysis
How businesses recognize recurring customer complaints, use sentiment analysis, and measure improvements.
Multi-Location Reputation Management
How corporate and local teams compare locations, manage review responsibilities, and share improvements.
About ReputationStacker’s research
These reports analyze self-reported responses from business owners, managers, and others involved in reputation management and customer experience. Each report explains its own methodology and limitations. Findings reflect the businesses surveyed and should not be interpreted as representative of all businesses.
Explore ReputationStacker and its automated review requests, customer feedback analytics, and AI Review Insights.