RM · Review monitoring

A bad review costs more than the tool that finds it.

We watch your selling accounts around the clock and flag every new review the moment it appears.

One source free forever · No card · Cancel monthly

The review inbox with platform, stars and review text

Every source in one inbox - chronological, with status and owner.

The highlights

See it working

The review inbox with platform, stars and review text

Every source in one inbox - chronological, with status and owner.

The inbox filter bar: status, platform, sources, ratings

Status, platform, source, stars - the answer is a filter, not an export.

Sound familiar?

Reviews decide purchases you never get to see. The problem is rarely the review itself - it is how late you find out about it.

The bad review has been up for eleven days.

In eleven days hundreds of prospects have read it. The complaint behind it was fixable on day two - by day eleven it is a public verdict.

Our answerWe check your accounts around the clock and flag every new review the moment it appears. You set the trigger: all of them, or only those under three stars.

Five portals, five logins, no overview.

So nobody checks regularly. Whoever looks after Google has no idea what is on Amazon - and the boss hears about it from a customer on the phone.

Our answerEvery source runs into one inbox. Chronological, filterable by rating and platform, with an owner and a history on each review.

A review is obviously fake - and it stays up anyway.

The reporting path is slow, the case has to be argued, and after the first rejection people give up. The review keeps dragging the average down.

Our answerWe prepare the report, argue it and follow up. You pay only if the platform actually removes it.

A bad review costs more than the tool that finds it.

In depth

14 features.

Every one with its own page in the handbook - and here, chapter by chapter, shown and explained.

01Vigilance

You sleep. The watch does not.

A review appears whenever it wants: Saturday night, during your holiday, in the middle of stocktake. A person told to keep an eye on every portal loses that race every week. A machine never does. Per source you decide when you want to know: every new review, or only those under three stars.

24/7

your accounts are checked. Not on weekdays. Always.

The inbox filter bar: status, platform, sources, ratings

Status, platform, source, stars - the answer is a filter, not an export.

  • Connect sources - Trustpilot, Google, Amazon, Capterra
  • One inbox across every source, chronological
  • Filter by rating, platform, status and owner
  • Threshold per source: everything, or only under three stars

02Acting

Five portals. One inbox.

Scattered across five logins, every review is a discovery. In one inbox it is a case: chronological, filterable by rating and platform, with an owner and a history. The colleague who replies sees what happened before her. The boss sees that a reply went out.

1

inbox for everything written about you.

The review inbox with platform, stars and review text

Every source in one inbox - chronological, with status and owner.

  • Assign to a colleague, with status and history
  • Internal notes on the review, not in a chat beside it
  • Escalation rules when something is left sitting
  • Automation rules for recurring cases

03Fake reviews

Obviously fake? Then we fight it.

Platform reporting paths are slow, the case has to be argued, and after the first rejection most people give up. We do not: we prepare the report, argue it and follow up until there is a decision. And the risk sits with us.

€0

if the review stays up. You pay for the removal only.

Prepared, not just submitted

A report with reasoning and evidence has a different success rate than an angry click on the report button.

Followed up to a decision

The first rejection is the start of the process, not its end. We stay on it, you get the outcome.

Paid on success

If the platform removes the review, it costs something. If it stays, it costs nothing. Incentives do not get simpler.

04Asking and measuring

Good reviews do not come on their own.

Happy customers rarely write, angry ones always do. Watching alone therefore shows a picture more crooked than you deserve. So you ask after the purchase, with templates per occasion and language, and one link per platform so nobody has to hunt. What comes back, you measure: average and trend per source, CSAT surveys with your own questions, every response readable on its own.

1 link

per platform. The customer clicks instead of hunting.

  • Send review requests after a purchase
  • Email templates per occasion and language
  • One link per platform so the customer does not hunt

05Measuring

The score is a start. The trend is the truth.

An average tells you where you stand; only the trend tells you whether it is improving. Average and trend per source, CSAT surveys with your own questions, and every response readable on its own - because the twenty sentences behind a 3.8 say what to do.

  • Average rating and trend per source
  • CSAT surveys with your own questions
  • Responses readable one by one, not only as a number

Why it pays off

Every source, one inbox

All watched accounts in a single view - chronological, filterable by rating, with history per product.

Now, not in the monthly report

You set the trigger: every new review, or only those under three stars.

Reply without switching portals

Act straight from the alert instead of signing into five back-ends.

How it works

  1. 1

    Connect a source

    Link the account. Done.

  2. 2

    Set the threshold

    When do you want to know?

  3. 3

    Act

    We tell you when something happens.

Open: no dedicated handbook area for reviews yet - the content sits scattered under crm and marketplace.

What it costs

A plan per size.

You pay per watched source. Whether one person looks at it or twelve changes nothing.

Free

€0

one source, for good

One source, one inbox, every review seen.

  • Connect sources - Trustpilot, Google, Amazon, Capterra
  • One inbox across every source, chronological
  • Filter by rating, platform, status and owner
  • Threshold per source: everything, or only under three stars
Start free
Recommended

Team

€9.90

per source / month

€8.25

per source / month · €99 per source / year

Everything in Free, plus assignment and history.

  • Assign to a colleague, with status and history
  • Internal notes on the review, not in a chat beside it
  • Average rating and trend per source
Start Team

Professional

€13.90

per source / month

€11.58

per source / month · €139 per source / year

Everything in Team, plus asking and automation.

  • Send review requests after a purchase
  • Email templates per occasion and language
  • One link per platform so the customer does not hunt
  • Automation rules for recurring cases
  • Escalation rules when something is left sitting
Start Professional

Enterprise

€17.90

per source / month

€14.92

per source / month · €179 per source / year

Everything in Professional, plus measuring with your own questions.

  • CSAT surveys with your own questions
  • Responses readable one by one, not only as a number
Start Enterprise

Prices net. Monthly billing: cancel any time. Yearly billing: twelve months for the price of ten, up front.

A bad review costs more than the tool

We watch your selling accounts around the clock and flag every new review the moment it appears.

Start monitoring free

No card. Cancel monthly.