Review Machine customer stories
How businesses use Review Machine
Each video shows one real situation: a list of past customers nobody asked, regulars who mean to review and forget, patients who speak Spanish, a business with more than one location. Every scenario follows Google's rules: we ask everyone, the customer writes and posts the review, and nobody gets a reward for it.
Eight short stories
Each one has its own page with the video, the steps and the questions owners ask about it.
From "I'll do it later" to a posted review in a minute
Most happy customers don't refuse to leave a review. They just never get to it.
Watch the story (1:12) →
How to get reviews from past customers without a spike
Eight hundred people have trained at Maya's gym, and the listing shows forty reviews. This is how she asks every one of them without a spike.
Watch the story (1:30) →
Ask for a review after the visit, without remembering to
The best time to ask for a review is right after the visit. The worst person to remember is you.
Watch the story (1:25) →
Two minutes every morning
Is it working? Two minutes, one screen.
Watch the story (1:12) →
When a customer is unhappy, you hear it first
An unhappy patient will tell someone. Make sure you hear it too.
Watch the story (1:20) →
See what your customers already say
Nina runs Olive & Ember and, like most owners, never has time to read all her reviews. So before we send a single invitation, we run a review scan of her Google listing for her.
Watch the story (1:28) →
Review requests in your customer's language
Half your patients speak Spanish, and your review request goes out in English only.
Watch the story (1:24) →
Google reviews for multiple locations
Two locations, one member list. So which Google listing does each review land on?
Watch the story (1:20) →
People and places in these videos are generated by AI. Every Review Machine screen is real, on a demo account with invented customers.