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Article / September 12, 2026

Review Velocity and Why 200 Old Reviews Stopped Helping You

A managing partner told us his firm was in great shape on reviews. Two hundred and eleven Google reviews, 4.8 average, more than any competitor within twenty miles. Then we sorted them by date. One hundred and eighty of them landed between 2019 and 2022, during a stretch when the office manager ran a review push every Friday. She left in early 2023. Since then the firm had collected nineteen reviews in three years, roughly one every eight weeks, and about half of those came from people who were angry enough to write without being asked.

The trophy number was still 211. The signal a prospect actually receives had collapsed years earlier.

This is the most common review problem we find in law firm audits, and it is almost invisible on a dashboard, because every dashboard reports the two numbers that hide it. Total count and average rating are both cumulative. They are the only two marketing metrics in a firm’s life that can never go down. That makes them comfortable and nearly useless for telling you whether the review program is alive today.

What Review Velocity Actually Means

Velocity is the arrival rate. New reviews per month, measured over a rolling window, on the profiles that matter. That is the whole definition. A firm with 40 reviews arriving at four a month is in a materially stronger position than a firm with 200 reviews arriving at one every two months, and the second firm looks better in every screenshot.

Two separate audiences respond to the arrival rate, and they respond for different reasons.

The first audience is the prospect. Someone comparing three personal injury firms on a Tuesday night is doing something more specific than counting stars. Pew Research Center’s work on how Americans use online reviews found that a large majority of U.S. adults read customer ratings before a first-time purchase, and that trust in reviews is not unconditional, people apply judgment about whether the reviews look genuine and current (Pew Research Center, Online Reviews). In practice, a reader scrolling your profile scans the timestamps. Reviews from four years ago describe a firm that may not exist anymore, different staff, different case handling, possibly different owners. A review from last week describes the firm they would actually hire.

The second audience is the ranking system. Google has never published a weighting for review recency, and any agency that tells you it has is selling you something. What we can say from repeated observation across local markets is narrower and more honest. Profiles with steady recent activity tend to hold their local pack positions more reliably through algorithm updates than profiles that went dormant, and dormant profiles are far more likely to lose ground when a newer competitor starts collecting consistently. That is a correlation we watch, not a lever we can promise to pull. The mechanics of pack placement, proximity, and category alignment are a separate discipline, covered in how law firms win the Google local pack.

Why the Big Total Stopped Working

There are three specific ways a large historic total quietly turns into a liability.

The freshness gap becomes visible. Google surfaces relative dates on the profile. When the top of your review list reads “7 months ago” and the firm two listings down reads “3 days ago,” you have handed the prospect a comparison you did not intend to enter.

Negative reviews stop being diluted. This is the part partners underestimate. When a firm collects six reviews a month, a single one star complaint sits below fresh positive reviews within a week and stops being the first thing anyone reads. When arrival rate drops to near zero, that same complaint stays at the top of the profile for months, because unhappy people write unprompted and happy people almost never do. A dormant profile does not simply stagnate, it drifts negative. Handling those responses without stepping over confidentiality lines is its own problem, and we go through it carefully in responding to negative reviews without breaching confidentiality.

The average gets sticky in the wrong direction. With 211 reviews on the board, a firm’s 4.8 average is mathematically frozen. Twelve new five star reviews will not move it. But six new one star reviews will not move it either, which sounds like protection until you realize the reader is not looking at the average, they are looking at the four most recent entries.

How to Measure Your Firm’s Velocity in About an Hour

You do not need a platform for this. You need the dates.

Pull the raw dates

For a firm with fewer than roughly 150 reviews per profile, the fastest reliable method is manual. Open the Google Business Profile review list, sort by newest, and log the month of each review into a spreadsheet until you reach twenty four months back. One column for month, one for star rating, one for the profile the review sits on. If your firm has multiple offices, each location gets its own tab, because a strong main office routinely masks two dead satellite profiles.

For larger volumes, an export saves the tedium. The Google Business Profile API returns reviews with timestamps, and most review management tools that firms already pay for, GatherUp, BirdEye, Podium, Whitespark’s tooling, will export a dated list on request. Do not skip the export because the tool shows you a pretty chart. You want the raw dates in your own spreadsheet, because the vendor chart usually starts at the date you signed up, which is exactly the window that flatters the vendor.

Do the arithmetic

Three numbers come out of the sheet.

  • Trailing 90 day velocity. Reviews received in the last three months divided by three. This is your current true rate. Everything else is history.
  • Trailing 12 month velocity. Same math over a year, which smooths out one good month and shows whether the program has structure or just had a lucky quarter.
  • The decay ratio. Trailing 90 day rate divided by trailing 12 month rate. Above 1.0 means you are accelerating. Between 0.7 and 1.0 is normal noise. Below 0.5 means the program is dying and nobody has noticed yet.

Then do the same three numbers for the two or three competitors who consistently appear above you in the pack for your money terms. Their review dates are public. This takes another thirty minutes and it converts an abstract worry into a specific gap, for example, “they are collecting 5.2 a month, we are collecting 0.6, and they passed our total fourteen months ago.”

Setting a Target You Can Hold

The right target is a function of your case volume, not of your ambition. Work backward from files closed.

Start with resolved matters per month, which for most single office firms is a number the case management system will tell you honestly. Then apply a realistic conversion rate for review requests. Across the law firm programs we have measured, a well built request sequence sent to the right client at the right moment converts somewhere between 15 and 30 percent to a posted Google review. Twelve percent is what a mediocre one email ask produces. Anything above 40 percent should make you suspicious that someone is filtering or incentivizing, which is a separate and much more expensive problem.

So a firm closing 40 matters a month at a 20 percent conversion should be collecting about eight reviews a month. A firm closing 12 matters a month at the same rate should be collecting two or three, and two or three consistently is a perfectly healthy program. The failure mode we see is not firms setting targets too low, it is firms setting a number they cannot sustain, hitting it for six weeks during the enthusiasm phase, and then dropping to zero, which produces exactly the spiky pattern that looks least natural and helps least.

Two constraints on the target. First, practice area caps it. Immigration, estate planning, and personal injury clients ask far more willingly than criminal defense or family law clients, where a public review can expose something the client wants buried. A criminal defense firm collecting one review a month is doing well, and a program that pushes those clients harder is a program that will eventually produce a complaint. Second, your state bar caps how you ask. Testimonial rules, endorsement disclosures, and anything resembling compensation for a review vary by jurisdiction and carry real consequences, which is why the request mechanics need to be built compliantly from the start rather than cleaned up after. That build is covered in detail in bar compliant review generation for law firms.

Recovering a Profile That Went Quiet for a Year

The instinct after seeing the decay ratio is to run a blast, email every client from the last three years, and collect thirty reviews in nine days. Do not. A dormant profile that suddenly receives thirty reviews in a week produces a pattern that both filtering systems and human readers treat as suspicious, and Google’s spam handling routinely removes chunks of exactly that shape. You will have spent your entire remaining goodwill with past clients to produce a spike that partially disappears.

The recovery that works is slower and duller.

The first thirty days

Fix the asking mechanism before you ask anyone. That means confirming the profile is verified and the short link works on mobile, deciding which single person owns the request and the follow up, and writing the ask so it takes the client under ninety seconds. Then restart with current clients only, the matters closing this month, because those are the people with the strongest memory and the highest conversion. Target roughly your sustainable monthly number, not more.

Months two through six

Now layer in the backlog, deliberately thinned. Take the closed files from the dormant period, sort by how well the outcome went and how warm the relationship was, and release them at a controlled rate, maybe four or five a month on top of your current client flow. Spread them across the month rather than sending on one Monday. Over six months this rebuilds a review page whose top twenty entries are all recent, which is the actual objective, while your arrival rate climbs on a curve rather than a cliff.

Expect attrition. Perhaps a third of the backlog will not respond at all, and older clients convert at maybe half the rate of current ones. That is fine. The point of the backlog is bridging until your live client flow carries the program on its own.

The Tradeoffs Nobody Mentions

Steady velocity costs staff attention every single week, permanently. It is not a campaign. The firms that sustain it are the ones where the request is a step in the file closing checklist, owned by a named person, and reviewed in a standing meeting. Every firm that treats it as a quarterly initiative ends up exactly where the 211 review firm ended up.

Higher velocity also surfaces more negative reviews, because you are asking a broader population rather than only the clients who volunteer. That is the correct trade. Ten genuine reviews containing one three star is a more credible profile than four flawless ones, and it forces the firm to see service problems it was previously insulated from.

And review velocity will not rescue weak fundamentals. If your categories are wrong, your service pages are thin, or your intake drops calls, a strong review rate makes a broken funnel slightly less broken. Reviews are a multiplier on visibility you already earn, not a substitute for it.

What to Put on the Partner Report

Replace total review count with four lines, tracked monthly per location. New reviews this month. Trailing 90 day monthly rate. Days since most recent review, which should almost never exceed 14. Percentage of reviews answered within 48 hours. Those four tell you whether the program is alive. The total tells you what happened during someone else’s tenure.

If your profile has gone quiet and you want to know how far behind your market you actually are before you commit staff time to fixing it, we will pull the dated review history for your firm and your top three competitors and show you the real arrival rates side by side. Talk to Rubiks and we will tell you what your monthly target should be and whether your current request process can hold it.

What should your firm do next?

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