Use case
Review and reputation data
Every rating, every response time, every competitor.
Reputation problems are cheap to fix early and expensive to fix late. The difference is whether anybody saw the review the day it landed.
We monitor reviews across the platforms that matter in your sector, deliver new ones as they appear, and track the numbers that actually predict trouble: rating trend, response rate, and how long a reply takes.
Outcomes
What it is actually used for.
Each of these is a build we have scoped. They share the extraction and differ in what happens to the data afterwards.
- 01Alerts on new low-rating reviews, within the hour
- 02Rating trend per location, compared against last quarter
- 03Competitor benchmarking on score, volume, and response time
- 04Themes extracted from review text at scale
- 05Response-rate and response-time reporting per site or team
- 06Early warning when one location starts diverging from the group
Platforms
Sources that feed reviews.
Most builds combine two or three of these.
Deliverables
What you get.
- 01Unified review stream across platforms in one schema
- 02Webhook or Slack alert on threshold breach
- 03Rating and volume time series per location
- 04Competitor set tracked on the same schedule
- 05Response tracking including reply text and latency
- 06Optional theme and sentiment classification on review text
Questions
Asked before.
Which platforms can you monitor?
Google, Trustpilot, TripAdvisor, Yelp, and Facebook are the usual set. Which ones matter depends entirely on your sector and country.
Can it alert us immediately?
On a daily-plus schedule, a new low-rating review reaches Slack or your helpdesk within the hour.
Can it draft the response too?
Yes — that sits under automation. A draft grounded in your tone and policy, for a person to approve before it posts.
Next step
Put reviews data to work.
Tell us the outcome you are after and the market you operate in. We will come back with the sources, the fields, the schedule, and what it costs to run.