14 July, 2024
The Neighborhood App Gold Mine
I had 200 five-star reviews and my phone wasn't ringing. My competitor had 50 four-star reviews from last month and was booked solid. That pissed me off enough to figure out why. Turns out, Google treats old reviews like expired milk—they might look fine, but nobody's buying.
Old reviews are dead weight. Speed beats stars. Let me prove it.
The 90-Day Cliff Nobody Talks About
Here's what I discovered tracking review performance for three years: Reviews older than 90 days are basically worthless for driving new business.
The data that opened my eyes:
0-30 day old reviews: 73% of viewers contact
31-60 day old reviews: 31% contact rate
61-90 day old reviews: 14% contact rate
90+ day old reviews: 4% contact rate
My 200 five-star reviews? Average age was 18 months. Might as well have been invisible.
My Velocity Formula That Works
Fresh reviews equal fresh revenue. Here's the minimum velocity you need:
1 review per 10 completed jobs
Sounds simple? Most contractors get 1 per 100 jobs. That's why they're broke.
My system:
Complete job on Tuesday
Send review request Thursday 2 PM
Follow up Tuesday next week
Get review or find out why
This ain't complicated. But it takes discipline most don't have.
The $19/Month Tool That Changed Everything
Look, I'm cheap. But this $19 automated review tool paid for itself first day.
What it does:
Texts customers 48 hours after service
Sends email if no text response
Tracks who opened but didn't review
Follows up automatically once
Shows me who to call personally
I went from chasing reviews to reviews chasing me. 12 reviews monthly to 47. Same number of jobs.
Timing Data From 3 Years of Testing
I tested everything. Here's when customers actually leave reviews:
Best Days:
Tuesday 2-4 PM: 34% response rate
Thursday 1-3 PM: 31% response rate
Saturday 10 AM-12 PM: 27% response rate
Worst Days:
Monday morning: 7% (everyone's pissed)
Friday evening: 9% (nobody cares)
Sunday afternoon: 11% (family time)
The Tuesday/Thursday rule alone doubled my review velocity.
Why My 4.3 Beats His 4.9
True story that still makes me smile: Lost a bid to a competitor with 4.9 stars. Customer called me three months later. "We made a mistake. His reviews were all old. Yours kept coming. Figured you were busier for a reason."
The math:
Him: 4.9 stars, 300 reviews, newest 6 months old
Me: 4.3 stars, 180 reviews, 50 from last month
Result: I'm booked, he's advertising
Speed beats stars. Every time.
The Simple System Anyone Can Copy
Stop overcomplicating this. Here's my exact process:
Job Completion Checklist:
Take 3 photos of finished work
Get customer to confirm satisfaction
Mark for review request in system
Note any special details to mention
Review Request Script: "Hey [Name], just checking that your lawn still looks great from Tuesday's service. If you have 30 seconds, we'd love a quick review about your experience. Here's the link: [link]"
Follow-Up Script: "Hi [Name], know you're busy but wanted to make sure everything's still perfect with your lawn. If you had any issues, call me directly. If not, that quick review really helps us out: [link]"
67% success rate. Not perfect, but consistent.
Velocity Benchmarks By Business Size
Based on tracking my growth and helping others:
Solo operator: 3-5 reviews monthly minimum 2-3 crews: 8-12 reviews monthly minimum 4-7 crews: 15-25 reviews monthly minimum 8+ crews: 30+ reviews monthly minimum
Below these numbers? You're dying slowly.
Real Revenue Impact
I love keeping receipts. Here's what velocity did for revenue:
Low Velocity Era (1-2 reviews/month):
12 calls weekly
Close rate: 31%
Average job: $127
Weekly revenue: $470
High Velocity Era (10-12 reviews/month):
47 calls weekly
Close rate: 43%
Average job: $147
Weekly revenue: $2,973
Same service. Same prices (actually higher). Just fresh reviews coming in constantly.
The Notebook Where I Track Patterns
My wife says I'm obsessed. She's right. But this notebook made me rich:
What I track:
Review date/time submitted
Customer type (residential/commercial)
Job value vs review likelihood
Word count patterns
Which requests get responses
Platform performance
Patterns I've found:
$200-400 jobs review most often
Women review 2x more than men
Commercial almost never reviews
Mention employee name = 3x response
Photos increase response 240%
Competitor Velocity Tracking
This is where it gets fun. I track every local competitor's review velocity. Most have no idea I'm watching.
My spreadsheet shows:
Mike's Mowing: 8 reviews/month (declining)
GreenThumb: 3 reviews/month (steady)
TruGreen: 11 reviews/month (but generic)
New kid: 14 reviews/month (watch out)
When velocity drops, they're struggling. When it spikes, they figured something out. Either way, I know before they do.
The Bottom Line on Velocity
Reviews are like bread. Fresh sells. Stale sits on shelves. Speed beats quality every single time.
You can have perfect 5-star reviews from 2019. I'll take messy 4-star reviews from last week. Guess who's getting the calls?
Start tracking velocity today. Not tomorrow. Not next week. Today. Because while you're reading this, your competitor just got another fresh review.
And that customer who's searching tonight? They're going to call whoever looks busy. That's what fresh reviews signal—a business that's working, not dying.
Fresh reviews equal fresh revenue. Old reviews equal old news.
Which one are you?
Sources:
BrightLocal Review Recency Study - https://www.brightlocal.com/research/local-consumer-review-survey/#review-recency
Uberall Review Velocity Report - https://uberall.com/en-us/resources/blog/importance-review-velocity
Nextdoor Business Recommendations - https://business.nextdoor.com/local/recommendations
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