Marketing & Growth Systems
Reputation and review automation: every review is about a job
Events and what they trigger
What a review record carries
Matched
- Review
- ★★★★★ · Oct 15 · a maps listing
- Matched to
- C-0731 · job J-512 · Riverside · T14
- How
- name, a job two days earlier, the service mentioned
- Reply
- drafted with the job's context, approved by the office manager
- Next step
- referral invite, the first this year
- Counts toward
- Riverside, water heaters, T14
Can't match
- Review
- ★★★★ · Oct 16 · a review site
- Matched to
- no one: two customers fit
- How
- an initial only, no service mentioned
- Reply
- general thank-you, approved by the office manager
- Next step
- none
- Counts toward
- the business total only
Low rating
- Review
- ★★ · Oct 14 · a local directory
- Matched to
- C-0655 · job J-503 · Northside · T9
- How
- name, a job the day before, the price mentioned
- Reply
- held until the service lead has spoken to the customer
- Next step
- service lead calls within one business day
- Counts toward
- Northside, estimates, T9
What's never automated
01
Paying for reviews
No discounts, no prize draws
Nothing is offered in exchange for a review, good or bad.
02
Choosing who's asked
The same request for everyone
Requests depend on the job's state, never on whether the customer seems happy.
03
Hiding bad reviews
Every review stays up
A low rating gets a person and a reply, not a removal request.
04
Writing reviews
Only customers write them
No reviews by staff, friends or AI, and no suggested wording sent to customers.
05
Private details in replies
Public replies stay general
No prices, addresses or job details in a public reply. Specifics go to the customer directly.
What review automation hands off
In
Out
Worth building when reviews come from several places
Good fit
- You get reviews on more than one site.
- You want to see reviews by location or technician.
- Replies are slow, or depend on one person remembering.
Not the right fit
- A handful of reviews a year. Answer them yourself.
- Jobs aren't recorded with a customer and a date, so nothing can be matched.
Questions about review automation
Can it reply to reviews automatically?
It drafts replies and a person approves them. A low rating gets a call from a person before any reply is posted.
How does it know which job a review is about?
From the reviewer's name, the date and what they mention, matched to recent jobs. When more than one job fits, it doesn't guess.
Can we ask only happy customers?
No. Everyone eligible is asked the same way. Reviews you filtered for are worth less to the next customer reading them.
What about fake or unfair reviews?
Reply calmly and factually, and use the site's own reporting process if a review breaks its rules. Reviews that match no customer at all are flagged for a person to look at.