In one sentence: Review velocity is how fast new reviews arrive for a business, counted as reviews per week or per month rather than as one lifetime total.
As a worked example, say two shops in the same town both show eighty reviews. The first collected them steadily, a couple a month for years, and the newest one is from last week. The second collected all eighty in one push four years ago and nothing since.
Same total. Not the same business, as far as a buyer is concerned. The first is plainly still running and still doing the work people liked. The second might have sold, changed crews, or quietly gotten worse, and the record stops before any of that would show up.
The pattern matters in the other direction too. A pile of reviews arriving all at once after a long silence is the shape review systems watch for, because it is what buying reviews looks like. An uneven human trickle that roughly tracks how many jobs you close is the shape that raises no question at all.
That does not make every burst suspicious. A shop that finally starts asking after five quiet years will have a lumpy month, and an honest one. What systems and readers react to is the source, not the calendar: real customers describing real jobs read nothing like twenty near-identical sentences that all landed on the same afternoon.
Recency is doing real work in three places at once. A person scanning your profile reads the newest handful and treats them as the current state of the company. Local search results lean on fresh activity as one signal among many. And when an assistant summarizes what people say about a business, it is summarizing whatever text it can find, so a company whose newest written feedback is years old gets described in years-old terms, sometimes including services it no longer sells.
The fix is not a campaign. It is a habit attached to the job, because the ask has to happen while the customer is still standing in the finished bathroom, which means it has to take one tap on a phone the tech is already holding. We built a one-tap review-request tool for a New Jersey glass and mirror shop for exactly that reason.
If the asking keeps falling off the end of the day, that is the actual problem to solve, and it is the center of our reputation management work.
Chasing velocity directly is where owners get into trouble. Paying for reviews, trading a discount for one, or running everybody through a screen first are all ways to make the chart climb while making the record worth less. All three run against the rules of the major review platforms, and the third has an entry of its own: review gating.
Treat the pace as a gauge on the dashboard instead. When it drops, the question is rarely how to get more reviews. It is who stopped asking, and why, and the answer is usually that asking was never built into how a job gets closed out. A quiet stretch in your slow season is not a crisis. A quiet stretch through your busy season is. The number it all rolls up into is the star rating, and where the pace shows up first is the local pack.
There is no honest universal number, and anybody quoting one is guessing about your trade. The useful test is proportion: the pace should roughly track the jobs you close. As a worked example, a two-truck crew closing ten jobs a week and adding two or three reviews a month looks like a working business, while the same crew adding thirty over one weekend does not.
They do not disappear, and they still feed your total and your average. They just stop being evidence about today. Somebody deciding this afternoon weighs the last few months far more heavily than a stack of five stars from four years ago.
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