Competitor price monitoring, product by product
Knowing at what price, and from which seller, your product is being listed on marketplaces today is a job nobody can sustain by hand for more than two weeks in a row. There are many listings, they change without warning, and whoever does the research rarely writes down who was selling.
RevScan is the Revema Tech tool that does this reading in place of manual research: you register the product, the channels and the frequency, and you receive a table with the seller, price, link and date of each listing. This page explains how it works, who it is worth it for and, above all, what the collection cannot see.
What competitor price monitoring is
It means reading, at the same cadence, the listed price of a product in every channel where it is sold — and keeping that reading so you can compare later.
The price research almost every company already does is a snapshot: someone opens the competitor's website the day before the meeting, jots down a few values and brings the list. Monitoring is the same reading repeated with a date, which changes two things — you can see the movement instead of an isolated number, and nobody has to remember to do it.
The unit of monitoring is not the competitor, but the pair formed by a product and a channel. That is why the same reference can be read every day in a channel where competition is fierce and once a month where it does not change: the pace is set by the volatility of that storefront, not by the size of the catalog.
Each reading returns four things about a listing: who is selling, for how much, at what address and on what day it was seen. The first two answer the question asked in the meeting; the last two are what make the answer verifiable months later, when someone disputes the number.
Today the reading covers the channels where consumers compare prices before buying — Mercado Livre, Amazon, Magalu and Buscapé — as well as a sector's specialized stores, from those that sell auto parts to those that sell bulk food. A new channel comes in the same way: someone has to write down how to read that storefront.
Who needs to know the competitor's price
Four operations that look at the same data for different reasons — and it is the reason, not the data, that decides how often to read it.
- Manufacturers that sell through resellers
- The factory does not sell to consumers, but its name is what appears in the listing. When a reseller drops the price below what the channel policy agreed, the brand is the one that loses positioning — and the other resellers notice before the manufacturer does, because it is their prices that stop selling.
- Distributors that serve resellers and consumers
- The same item goes out at one price in a sale to a reseller and shows up at another in the digital channel's storefront. Knowing at what price your own merchandise is listed by third parties is what avoids the conversation in which the customer shows, on a phone screen, a number lower than the price list they just received.
- Retailers competing for the same basket
- In a basket of comparable items, half a dozen references decide the price perception of the whole catalog. Tracking those references week by week costs little and answers the question the pricing meeting always asks without any data in hand: on which items are we out of line, and by how much.
- Sellers inside the marketplace
- In the channel, the same product usually has several listings from different sellers, and each one's position changes throughout the day. What decides the outcome is not the lowest price in the entire market: it is that of the few listings competing for the same search as yours — and they change names often.
How the collection works
Three steps, and none of them hides what the machine is not sure it understood.
The product goes in with a term, a channel and a frequency
Each tracked item is registered with the terms people use to search for it in the channel, the channels where it makes sense to search and how often the search repeats. When the competitor's listing is already known, its URL goes in directly and is followed as is, without depending on any search.
The search finds, and AI points out which listings are your product
In each channel, the collection opens the results for the term and extracts seller, title, price and address of each listing. It then compares what is written in each one with the registered product and gives it a Match score from 0 to 100 — accessories for the item, such as cases, cables, screen protectors or stands, are penalized, and so is a price far from yours.
The table arrives ready to compare
What is left is one row per listing, with seller, title, price, link and the date it was read. The decision comes from it: chosen offers go to Excel or CSV, travel by API to the ERP or the BI tool, or go straight into price analysis inside the platform.
The Match score is the number that holds up the rest. Searching by term in a marketplace returns, along with your product, its case, its cable, last year's version and a three-unit bundle — which is why the score compares the listing's text with that of the registered product and penalizes both the accessory and the price out of proportion. Nothing is discarded silently: the list arrives with the score in plain view, and whoever knows the catalog decides what goes into the comparison.
Manual research and automatic reading
Six criteria about routine, not about features. Read each row thinking about who does this in your operation today and how much time they had left for it last week.
| What is measured | Someone doing research | Automatic reading |
|---|---|---|
| Reach of one round | What fits in a morning's work: a few dozen listings, almost always from the same two channels and the usual competitors. | Every product and channel pair that was registered, in the same round, without anyone having to choose where to start. |
| Pace | Whatever is left between other tasks. In practice, the research happens when someone suspects the price has changed — after it has already changed. | What was defined item by item: daily, weekly or monthly, and hourly, on request, for the handful of items that justify it. |
| Who is selling | The store's name, when whoever is researching remembers to note it next to the price — and it is the part most often lost in note-taking. | The seller arrives with the price, on every row. It is what separates the authorized reseller from the one who is not, and channel policy depends on that separation. |
| History | A folder of screenshots and a tab per month, for as long as the routine lasts. It usually lasts until the first week full of surprises. | Each reading is stored with the date it was taken, and an item's series is available by period — including that of sellers who have since gone offline. |
| When the channel changes the page | Nothing happens: the researcher is a person, and recognizes the new page without anyone needing to adjust anything. | Reading from that channel stops until it is adjusted. The health dashboard flags the stoppage the same day, and the fix applies at once to every product that depended on it. |
| What is left for deciding | The time the research did not consume — and the pricing conversation starts by arguing about whether the data still holds up. | The entire round. The table arrives already comparable with your price, and the discussion starts at the decision instead of at the data. |
What the reading does not do
Five limits that no vendor in the category solves, and that are better known before you build a routine on top of them.
The listed price is not the checkout price
A coupon applied at checkout, free shipping above a certain amount, a discount for paying upfront and interest-free installments change what the customer pays without changing the number in the storefront. What the collection reads is the storefront — which is also what your customer sees before deciding whether to keep comparing.
In some channels, the featured offer has an address
Where several sellers compete for the same listing, the one that appears featured can change depending on the delivery area — and the price on the row is that of whoever is featured. What changes with the area is the seller, not the price the same seller charges. The reading always declares the same area, and it is recorded alongside the data, so that variation in the series is variation in price and not in address.
The matching makes mistakes, which is why it is shown
No automatic title comparison is right every time: a three-unit pack, a version from another year and a refurbished item look too much like the right product. That is why each listing arrives with its Match score up front, instead of entering or leaving the list silently — the one who checks is the one who knows the product.
A channel can block the collection
Marketplaces limit automated access, and now and then a reading comes back empty because of it. The system tries again and the health dashboard shows what remained pending; even so, a cycle may close with no result for an item. Anyone promising uninterrupted reading is promising what no collector delivers.
Monitoring is not pricing
The table says at what price the competitor is listing. It does not say what yours should be: that depends on replacement cost, the item's tax, the channel's expenses and the margin the company has decided to defend. Copying the neighbor's price is the fastest way to import another operation's cost error into your own.
The last point is what sets this page apart from the others on the site. Knowing the neighbor's price is an input to a decision, not the decision: what answers for it is the written margin rule and the cost the invoice really charges, which is the subject of what pricing software does. And reacting to market movement with a rule, instead of reacting in a panic, has a name and known limits — it is dynamic pricing, which the glossary defines without euphemism.
RevScan, which does this reading
RevScan is the Revema Tech application that carries out what this page describes: product registration with terms and channels, cadence defined item by item, matching with the score in plain view and a table with seller, price, link and date. Export is available in Excel or CSV, and the same data goes by API to the ERP or BI tool of those who already concentrate their indicators elsewhere.
It runs at its own address, and access remains there. What this page changes is the path to it: whoever arrives by searching the term finds the explanation first, and only afterwards the screen meant for those who are already customers.
The step after collecting the price is deciding yours, and that calculation is not done by looking at the neighbor's storefront: it depends on replacement cost, the item's tax and the margin the company has decided to defend. That is what RevPrice handles.
Questions about price monitoring
The questions that come up before the first commercial conversation — including the one whose only answer is negative.
Is tracking the price a competitor lists allowed?
What the collection reads is the listing's public page: the same price, the same seller and the same title that any visitor to the channel sees when opening that address. No third-party login, restricted area or customer data is involved at any point. It is the same lookup your team would do in a browser, done at a frequency nobody can sustain by hand.
How often are prices read?
The frequency is chosen product by product — daily, weekly or monthly —, because it is a business decision and not a system setting: a high-turnover item in a contested channel changes price every week, and a long-tail item does not change in six months. For the few references that justify hourly tracking, hourly cadence is available on request.
How does the system know a listing is for my product?
Each listing found receives a Match score from 0 to 100, calculated from what is written in it compared with the registered product. Accessories for the item — cases, cables, screen protectors, stands — are penalized, and so is a price far from yours, because both are the most common mistake of a search by term. The score is visible on every row, and the final word belongs to whoever knows the catalog.
Can I follow a specific listing from a competitor?
Yes, and it is the most precise path when the listing is already known. Instead of registering search terms, you paste that listing's URL, and it is read at the defined frequency, without depending on the item appearing in the channel's results that day. The two modes coexist on the same product: search by term finds whoever is new, and the fixed URL tracks whoever is already known.
How does the data leave the system?
In three formats, depending on what will be done with it. Excel or CSV, as a snapshot of the moment or as the complete history of a period, for those who will analyze it in a spreadsheet. By API, to the ERP, BI tool or internal system that already concentrates the operation's indicators. Or straight into price analysis inside the Revema platform, when the decision happens right there.
Does this replace price research in physical stores?
No. What the collection covers is the price listed in digital channels, and it is a good mirror of the market price precisely in the categories where consumers compare before buying. The tag in the corner shop still requires a visit, and there are sectors where the price that decides the sale is negotiated by phone — neither of the two appears in a storefront to be read.
Further reading
The blog covers what to do with the price once you know it: when to react to a competitor's move, what your margin can take and where it usually leaks.
Want to see the price of your items in the channels where they are sold?
A short conversation is enough to put together the first list of products and channels — and to say which of them the reading cannot yet reach.