Track the impact of proactive review requests on review volume and average rating over time.
Proactive review requests should increase review volume and, over time, improve average rating. By tracking these metrics before and after implementing the review request process, you quantify the impact and demonstrate ROI to leadership — connecting proactive reputation building to local SEO and trust-signal goals.
This guide walks you through establishing a baseline, monitoring post-implementation metrics, and documenting the change in a format that ties reputation gains to measurable business outcomes.
Review team responses to ensure quality and consistency with brand guidelines.
Summarise review volume, average rating, and sentiment trends as a reputation health report for leadership.
Set up automated review requests at natural customer journey trigger points to increase review volume.
Record the baseline review volume and average rating for the quarter before implementing proactive review requests.
Implement the proactive review request process with a clear trigger point.
Monitor review volume and average rating monthly over the next quarter.
After the quarter, compare the new metrics against the baseline.
Document the impact and include it in the quarterly reputation health report to leadership.
Baseline (quarter before implementation): - Review volume: [baseline volume] reviews - Average rating: [baseline rating] stars Post-implementation (quarter after proactive requests): - Review volume: [post-implementation volume] reviews - Average rating: [post-implementation rating] stars Impact: - Review volume increased by [volume change] reviews ([percentage change]%) - Average rating changed by [rating change] stars ([percentage change]%) - [Company name] now has [description of change in review profile] - Trust signals: [description of changes in recency, volume, or sentiment]
Compare review volume and average rating for the 3 months before and after implementing proactive review requests. Quantify the increase in review volume and any change in average rating, and connect to local SEO and trust-signal goals.
Measure the impact of operational improvements on review sentiment and ratings.
Analyse low-rated reviews to identify recurring complaints and operational issues.