Review and referral request engine
Happy clients get asked for a review at the exact moment they are happiest, and unhappy ones get routed to a human instead.
Reviews get requested at job completion, negatives get intercepted, and every public review gets a response within a day.
The problem
Local search ranking and conversion both hinge on review volume and recency, and both decay the moment somebody stops asking.
Job marked complete, or invoice paid.
The build
Request goes out within two hours of completion, when satisfaction is highest and the memory is specific.
A one tap rating first. Positive continues to the public platform, negative routes to the owner privately.
Direct deep link to the review form, not to the business page, because every extra tap halves completion.
Drafted responses to every new review, queued for approval, published within twenty four hours.
Any review under three stars alerts the owner immediately with the customer's job history attached.
Volume, average, response time, and platform mix against local competitors.
The guard rails
This is the part that separates an automation that runs for years from one that quietly corrupts your data for a month.
Honest limits
You are in a sector where reviews are regulated or restricted, such as parts of legal, medical, and financial services. Check before you build.
Related builds
Happy clients get asked for a review at the exact moment they are happiest, and unhappy ones get routed to a human instead.
One approved post fans out to every channel in the right format, on the right schedule, with the approval recorded.
Registration through to post event nurture runs itself, with attendance driving which follow up somebody gets.
Send the form and we come back within 24 hours with a fixed price, a scope, and a date.