review tracking
Review Management
Knowing your current star average tells you where you are today. Tracking it over time tells you whether what you are doing is working. Deploy this automation and rating trends across every platform are tracked continuously, with alerts when the trajectory changes.
About this automation
Type
Review Management
Industry
Free to use
✓ Yes
Deploy time
Under 5 min
Triggers
New Review
Delivers via
Dashboard, Email
What your dashboard shows
Weekly rating change by platform
Tracked continuously, not just a static current average
Alert on trend break
Fires when a rating trajectory moves beyond your defined threshold
Location and service-type breakdown
See whether a decline is concentrated in one location or one service line
Before-and-after evidence
See whether an operational change actually moved satisfaction, and by how much
Alert delivery
Sent to the team responsible with the specific reviews that drove the trend change attached
The automation
New review posts, feeding the rating trend
Fires the instant a new review posts, feeding the weekly trend calculation.
New Review
Weekly trend calculated
Rating change tracked by platform, location, and service type.
Alert on trend break
Fires when the trajectory moves beyond your defined threshold:
Positive sentiment
Steady or improving trends logged.
Needs attention
Declining trends alert the owning team with the driving reviews attached.
Dashboard: before-and-after evidence
See whether an operational change actually moved the needle.
Why this automation matters
Star averages are snapshots. A 4.2 on Google today tells you how customers have rated you historically. It does not tell you whether that 4.2 is trending up, trending down, or holding steady. It does not tell you whether a product line is performing well or a specific location is pulling the average down. A single number is a starting point, not an insight. Deploy FeedbackRobot's review tracking automation and the trend data runs continuously across every platform you monitor. Weekly rating changes are tracked by platform, by location, and by service type. When a trend line moves beyond your defined threshold, an alert fires to the team responsible, with the specific review data that drove the change attached. The tracking also builds the before-and-after evidence that makes operational improvement measurable. When a restaurant changes its kitchen process, when a hotel refreshes its housekeeping protocol, when a software company ships a major update, the review tracking data shows whether the change moved the needle on customer satisfaction and at what rate. You stop guessing whether improvements are working and start seeing evidence of it in the data as it accumulates.
Expected outcome
Connects to the platforms that matter
Triggers
New Review
Channels
Dashboard, Email
Common questions
How is this different from just checking my star rating?
A star average is a snapshot, it doesn't tell you whether it's trending up, down, or holding steady, this tracks the trajectory continuously so a decline is visible weeks before it would otherwise stand out.
What counts as a threshold worth alerting on?
That's configurable, most businesses set it around a meaningful weekly or monthly rating movement rather than any single review swaying the trend.
Can this actually prove an operational change worked?
Yes, that's one of its main uses, the before-and-after trend data shows whether a process change moved customer satisfaction and at what rate, rather than relying on anecdotal impression.
Does this work across multiple locations or service types?
Yes, trend data can be broken out by location and service type, surfacing which specific area is driving an overall change.