Improve customer reviews
Most review problems are asking problems.
Satisfied customers rarely review you unprompted. Dissatisfied ones frequently do. Left alone, that asymmetry produces a rating that is worse than your actual service.
Your rating is lower than your work deserves, the most recent review is from last year, and nobody has replied to the bad ones.
How do you get more customer reviews?
Ask every customer, automatically, at the moment the work finishes — triggered by the system that records completion rather than by someone remembering. Follow up once. Catch unhappy customers before they post by giving them somewhere direct to complain. Reply to every negative review quickly and without arguing, because the audience is the next customer, not the reviewer.
What is usually actually wrong
- Asking depends on a person remembering, so it happens only when they are not busy.
- The request goes out days later, when the customer has moved on.
- Unhappy customers have no direct route to complain, so they use a public one.
- Negative reviews sit unanswered, which reads worse than the review itself.
How we approach it
- 01Trigger the request from real completion data.
- 02Get the timing right and follow up once — most reviews come from the second message.
- 03Give unhappy customers a direct route before they take a public one.
- 04Establish a response process with an owner and a target response time.
What changes
Reviews arriving continuously instead of in occasional pushes.
Problems reaching you before they reach a public profile.
Negative reviews answered in a way that helps the next customer decide.
Questions
The ones that come up every time.
Can we offer a discount for reviews?
No. Incentivized reviews violate the major platforms’ policies and put the profile at risk. The legitimate version works well enough that the shortcut is not worth it.
What if we get a bad review we do not deserve?
Reply factually, briefly and without arguing. Readers are good at recognizing an unreasonable review answered calmly — it frequently does more good than the review did harm.
How many reviews do we need?
Enough that the most recent ones are recent, and enough that one bad experience does not move the average. Recency does more work than total volume past a certain point.
What this involves
The work behind it.
Service
Review automation
Reviews arrive because somebody asked. Automate the asking.
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RevuNow
Review generation and reputation workflow, triggered by the work itself.
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