Price Monitoring Software : Track your competitors' prices in real time, without having to re-enter data

Manual price monitoring relies on data entered by hand, often into a spreadsheet: it covers a sample of SKUs, on a single channel, at irregular intervals. An automated price monitoring solution continuously collects prices across the entire monitored catalog, cross-references multiple sources (websites, apps, stores, panelists), matches each price to the correct product, and validates the data before using it.

The difference is most evident in how they are used. Manual data collection provides a snapshot that is difficult to track over time and is prone to data entry and reconciliation errors. Automated monitoring provides a complete historical record, alerts only for significant deviations, and data that directly feeds into price simulation and optimization.

A spreadsheet is still useful for getting started with a few dozen SKUs. Beyond that, its limitations quickly become apparent: see the limitations of a price tracking spreadsheet in Excel.

At a minimum, the price listed by each relevant competitor, associated with the correct product, along with the date it was recorded and the channel: e-commerce site, marketplace, app, or store.

To link the price to the correct product: EAN, product description, brand, supplier, photos, and specifications (volume, number of items).

To read the price correctly: current promotions, shipping costs, availability or out-of-stock status, customer reviews, and—for a chain of stores—the catchment area.

The scope is determined based on the products’ role. Loss leaders and image products—which your customers compare—require more frequent monitoring than the rest of the catalog. Panelist data provides additional insight into the market by revealing what the listed price does not show. To define this scope, identify which of your competitors’ products to monitor.

BOOPER collects competitors' prices online on a daily basis—and even more frequently for the products with the most price fluctuations.

The appropriate frequency for data collection depends on the volatility of each category, not on a one-size-fits-all setting for the entire catalog.

For loss leaders and product categories where prices change frequently, daily price tracking is essential.

For stable categories, a weekly report is sufficient. This prevents teams from being overwhelmed by insignificant fluctuations.

Real-time data is rarely useful in retail: a pricing decision involves a simulation and validation process, which don't happen in a matter of minutes.

With BOOPER, the collection frequency can be set by category, down to daily. Alerts are triggered only for significant deviations.

The reliability of competitor price data depends on a series of automated checks applied to each piece of collected data: anomaly detection, data cleansing, format standardization, and business validation. Pricing decisions are thus based on verified and audited data, rather than on raw data that may be inaccurate.

Anomaly detection identifies inconsistent values before they enter recommendation models (a price set to zero due to a competitor’s out-of-stock situation, a duplicate entry resulting from a product variant, or a sudden price discrepancy that indicates a matching error rather than a genuine competitive shift). Data cleansing and format harmonization then make it possible to compare data collected from diverse sources—e-commerce sites, marketplaces, in-store surveys, and panelists—each with its own units, packaging, or product descriptions.

Business validation serves as a final layer of control: beyond automated rules, teams can verify and resolve ambiguous cases, particularly regarding product matching—ensuring that a recorded price corresponds to the exact same product code tracked by the retailer, and not to a similar variant (such as size, color, or packaging) that would skew the comparison.

For a pricing department, this reliability directly determines the level of trust placed in the resulting recommendations: poorly cleaned competitive data can lead to unnecessary price alignment or a misjudged competitive gap, with a direct impact on margins and the brand’s perceived competitiveness.

Collecting prices that are publicly displayed on a web Competitor's website site is a common and lawful practice, provided that certain rules are followed.

A price or product listing is not personal data: the GDPR does not apply to prices themselves. It applies as soon as data collection involves individuals.

Two other legal frameworks are relevant: the terms of use for websites, and the rights of database creators (Articles L341-1 et seq. of the Intellectual Property Code).

In practice, effective price monitoring is limited to data that is useful for comparison, collected at a frequency that does not disrupt the websites being visited.

BOOPER collects only publicly available product and price data, with no personal information. In specific cases, the advice of a legal professional should be sought.

The cost of a Price Monitoring Software depends primarily on the scope of the monitoring, not on a list price.

Four factors influence this: the number of SKUs tracked, the number of competitors and websites crawled, the frequency of data collection, and the expected level of product matching.

Tracking a few hundred featured products each week isn't the same as tracking an entire catalog every day across multiple channels.

The integration of your store reports or panelist data is in addition to the data collected online.

The simplest approach is to start with your sensitive products and your actual competitors: we'll work with you to define the scope.

Paarly and Prisync specialize in tracking competitors' online prices. BOOPER integrates this monitoring into a pricing decision-making platform.

The difference comes into play after data collection. At BOOPER, each competitor's price is matched to the correct product and then fed into the simulation, positioning rules, and price validation.

BOOPER also integrates your in-store data and panelist data, in addition to prices collected online. BOOPER does not conduct in-store data collection itself.

The right choice therefore depends on your needs: tracking prices, or setting prices based on that tracking.

For more details: BOOPER vs. Paarly, BOOPER vs. Prisync, and our overview of price monitoring tools.

Yes. BOOPER, a French pricing software provider, brings together competitors' online and in-store prices in a single tool.

Online, BOOPER collects prices directly from competitors' websites, marketplaces, and apps—up to daily—for tens of thousands of products.

In-store, BOOPER integrates the data collected by your teams or service providers, as well as panelist data.

All of these sources go through the same product matching process, the same outlier check, and the same historical data review.

The analysis follows: price differences by competitor, price index by category, alerts. The market intelligence directly informs your pricing decisions instead of just being another file.

BOOPER continuously monitors your competitors' prices and alerts your team as soon as a significant price difference arises.

Alerts can be configured by category, competitor, or product: a price drop by a competitor, a price difference exceeding a threshold, a price that falls outside your rules, or a stockout at a competitor.

Each alert includes background information: price history, comparable products, and the estimated impact on your margin.

The goal is not to receive more alerts, but to receive only those that warrant a decision. The thresholds are set so that a team can actually handle them.

An alert may then lead to a price recommendation, which your team must approve before it is implemented.