Pitch the poorly rated with their own reviews
A low rating is a named problem and an open budget. The review text is your first line.
Why this is hard today.
A 3.6-star business knows it has a problem, but generic outreach gives it no reason to believe you know which one.
The evidence is public: the reviews name the exact complaint. No database carries it, because review text is not a field.
How Freelvy does it.
Freelvy sorts the category by rating, reads the review text, and attaches the dominant complaint to each row, so the first line quotes the problem, not a pitch.
The recipe.
The prompt
>Restaurants in Bordeaux rated under 4 stars whose recent reviews mention slow service, with the owner's contact.
What you fill in
- Category & city
- Restaurants, Bordeaux
- Rating ceiling
- Under 4 stars
- Complaint theme
- Slow service
What comes back
| Business | Category | Rating | Signal | Contact |
|---|---|---|---|---|
| Atelier Fontaine | Plumbing | 4.8 (214) | No website listed | Owner, verified |
| Delta Clima | HVAC | 4.6 (89) | Hiring 2 installers | Owner, verified |
| Verdi Jardins | Landscaping | 4.9 (156) | Reviews up 3x this quarter | Owner, verified |
| Miroir Propre | Cleaning | 3.7 (41) | Reviews mention scheduling | Manager, verified |
Illustrative rows. Your table carries the columns you asked for, plus the evidence behind each match.
How it works
Name the category, the city and the rating ceiling.
Freelvy reads the listings and what the reviews actually say.
Open with their own customers' words.
What you get.
Struggling operators, the complaint that proves the pain, and the owner to write to.
Run this playbookFree 7-day trial, no credit card
Start with one prompt.
Describe the customer you want. Freelvy searches the live web, verifies every contact and writes the sequence, you approve the angle, then it sends on autopilot or waits for your go on each message.