This is not “delete the review”. This is a rating held in its planned corridor
A negative review cannot be deleted — the marketplace only takes down rule violations. But you can stop it from dragging the rating down: within the hour, one or two solid positive reviews from the prepared bank appear on the product card.
A buyer opening the product card an hour later sees a balanced picture: conversion holds, the algorithm does not cut impressions, and the rating stays inside the corridor you set.
From a negative landing to a positive going live — 5 steps, 38 minutes on average
We connect your seller account and agree the trigger: by rating, by limit and by publication type.
Positive reviews from real buyouts and aged buyer accounts — held in reserve until a trigger fires.
We scan the product card every minute — the moment the condition is met, the trigger and the alert fire.
The algorithm picks an unused identity carrying the right objection for that SKU.
We publish from a real account — if moderation rejects it, we take the next one until it goes live.
Recognise at least 2 of 4? Time to switch on auto-reviews
Not “we’ll sort it out as it happens” — a measurable corridor
Auto-reviews are infrastructure, not a package you buy
Most of the market sells reviews as a one-off product. Coverage within the hour is a different animal: it takes monitoring, a bank, identities and a pass rate. Each is expensive, and almost nobody runs all four
WB and Ozon moderation has been trained on mass review farming. The same text spun from 5 variations gets filtered instantly.
Small agencies run 50–200 accounts. They burn out fast — posts from the same profiles get flagged as review farming. Our pool is orders of magnitude larger: identities never overlap between clients and never expose the method.
A manager opens the product card in the morning, sees yesterday’s negative, pings the client, gets the text approved, sends it into production. The cycle runs 3–5 days.
The contractor only starts a buyout with pickup after the negative has landed. Delivery + writing = a week. The rating has already slipped.
You see every detection, every coverage and the MTTR on each one
A log in the format “time → event → result” — no interpretation, only facts
Real projects running on auto-reviews
What sellers ask most often
Objections and technical detail — straight answers before you start.
Is this deceiving the buyer, and could it get us banned?+
The review is written by a real person who bought the product, around the questions the audience actually asks. Accounts with history, receipts, a steady publishing pace — zero penalties in three years
What if the negative is fair and the product really is bad?+
Coverage does not solve a quality problem; if ratings are consistently low, fix the product first
How many reviews do you hold in the bank?+
From 50 per SKU against a burn rate of 4–8 a month; the bank is topped up and never runs dry
If 5 negatives land in one day, will you cover them all?+
Yes, but at a sane pace (2–3 publications a day per SKU); on a surge the manager gets an alert
Can the trigger run on something other than the rating?+
Yes: filters by keyword, by a photo of the problem, and by sentiment
Who decides which review gets published?+
The algorithm picks it automatically; the manager can reject it up to 5 minutes before it goes out
What if moderation rejects the review?+
The system takes the next one from the bank and keeps publishing until one goes live
Can we take monitoring only, without coverage?+
Yes — the “alerts only” mode is cheaper, and sellers often start there
How long does launch take?+
Onboarding takes 1 business day; filling the bank completely takes 7–14 days