Pricer24 vs Dealavo: Comparison of Price Analysis Services for E-Commerce

Looking for a service to compare prices and analyze the e-commerce market? This article will help you understand the key differences between two popular price analytics platforms — Dealavo and Pricer24.

We will compare them in detail based on the following criteria:

• Data completeness
• Matching accuracy
• Data visualization
• Customization capabilities
• Price analysis for Allegro and Ceneo 

All of this will help you make an informed decision based on the specific needs of your business.

Contents:

• Pricer24 vs Dealavo: Comparison Table
• Overview of Price Monitoring Services: Dealavo and Pricer24
• Comparison of Dealavo and Pricer24 based on Key Criteria
• Data Completeness
• Matching Accuracy
• Data Visualization
• Customization Capabilities
• Price Scraping from Allegro and Ceneo: Capabilities of Dealavo and Pricer24

Pricer24 vs. Dealavo: Comparison Table

Criteria	Pricer24	Dealavo*
Minimum contract term	3 months	1 year with 3 months’ notice for termination
Demo period	14 days	7 days
Data accuracy	99,5%	98%
Data sources	Online stores, price aggregators, marketplaces, mobile apps	Online stores, price aggregators, marketplaces
Solutions for online stores	– Competitor price analysis – Dynamic pricing – Assortment analysis – Market analysis – Supplier price analysis – Price analysis in mobile apps	– Price monitoring – Dynamic pricing
Solutions for brands and distributors	– MAP and MSRP monitoring – Product availability analysis on digital shelves – Analogue product analysis – Promotion monitoring	– MAP and MSRP monitoring – Price monitoring – Distribution monitoring – Offline price monitoring – Promotion monitoring
Dynamic pricing	+	+

* Information collected from public sources; data may be supplemented.

Overview of Price Monitoring Services: Dealavo and Pricer24

Dealavo

General Information

Dealavo is a Poland-based company specializing in e-commerce analytics and price monitoring. Operating since 2012, it has served clients in over 20 countries over the past five years. The platform is designed to meet the needs of both brands and retailers, offering solutions tailored for the global market.

Platform Capabilities

Dealavo positions itself as an all-in-one solution for competitor price tracking, price optimization, and online distribution management.

Core features include:

• Price monitoring across multiple sales channels
• Dynamic pricing with automated recommendations based on predefined rules
• MAP (Minimum Advertised Price) violation monitoring
• Distribution analytics for brands — checking product availability across partner stores

Additional services offered by Dealavo:

• Ready-made integrations with popular e-commerce platforms (including IdoSell, WooCommerce)
• API access for automated data exchange with clients’ internal systems (ERP, BI, etc.)
• Consulting and ongoing client support

Experience and Reputation

Dealavo collaborates with major international brands and online retailers. Its client portfolio includes global market players such as Samsung, MSI, TP-Link, Lenbrook, DeLonghi, Epson, and Philips.

The platform holds a 4.3 rating on G2. Users highlight its intuitive interface and the high quality of customer support.

Pricer24

General Information

Pricer24 is a Ukrainian pricing intelligence platform designed for strategic price and assortment management in e-commerce. The platform focuses on customized configurations tailored to individual business needs. Operating since 2020, Pricer24 serves clients across Ukraine, Poland, the Baltics, and other European markets.

Platform Capabilities

Pricer24 offers comprehensive price and assortment monitoring and analytics for online retailers, brands, and distributors.

Key features include:

• Competitor price and promotion analysis
• MAP (Minimum Advertised Price) monitoring
• Supplier price analysis
• Competitor/partner assortment analysis
• Online merchandising analytics for brands
• Analogue product analysis for brands
• Dynamic pricing

Additional capabilities:

• Price analytics in mobile applications
• API integration with internal systems
• Data collection from B2B supplier portals and messengers
• Personalized dashboards tailored to specific user tasks
• Customization options — flexible reporting, data collection, and processing workflows aligned with client business processes
• Dedicated support and consulting

Pricer24 supports multilingual interfaces and multi-currency operations.

Experience and Reputation

Pricer24 works with mid-sized and large businesses. Its client base includes local offices of global brands (Asus, Philips, MSI, Tefal, TP-Link), top-3 Ukrainian e-commerce retailers (Epicentr, Rozetka, Comfy), and distributors (ELKO, ERC, DC Link).

The platform boasts an exceptional rating of 5.0/5.0 on Software Advice, G2 Crowd, and Capterra. Clients praise its user-friendly interface, customization flexibility, and high-quality support.

Comparison of Dealavo and Pricer24 by Key Criteria

1: Data Completeness

Data completeness in pricing analytics depends on how effectively the platform identifies competitor products that match your own. Let’s look at how each platform approaches this.

Dealavo

Dealavo has extensive market experience and relies on a classic approach to product matching — primarily using EAN codes or other manufacturer-specific unique identifiers. If necessary, product names and attributes can also be taken into account.

This method is considered the industry standard — relatively simple, cost-effective, and highly accurate if all product listings (both yours and your competitors’):

a) include valid product codes;

b) contain no errors in the codes or naming.

Pricer24

Pricer24 was designed to handle pricing intelligence tasks that go beyond standard scenarios. Thanks to its advanced product-matching approach, the platform achieves a 98% match rate — even in complex cases, such as when:

• competitor products lack EAN or other unique identifiers (or those fields are filled in incorrectly), which is common in certain product categories;
• product names vary significantly across different websites due to different naming conventions;
• products come in multiple packaging options, sizes/volumes, colors, or other options.

The product-matching process works as follows:

1. Starting point — comparison with the client’s catalog: The platform searches for equivalent products on competitor websites within the categories defined in the client’s brief.
2. Search parameters setup: The matching criteria are configured at the beginning of the collaboration, depending on the client’s business context, product categories, and target websites. Pricer24 builds a multi-step search and validation process tailored to each client. Each product match is based on multiple attributes simultaneously — e.g., product name, code, EAN, volume, packaging type, color, number of items per set, and more.
3. Semantic analysis of product names: Pricer24 uses semantic (meaning-based) search to identify equivalent products even when the naming differs significantly between the client and competitors.
4. Pairing: Based on the combined attributes, the system identifies potential product matches.
5. Validation and mapping: The system automatically suggests the most relevant matches and flags uncertain ones for manual review.

2: Matching Accuracy

Another critical process — and the foundation of any price intelligence service — is accurate product matching. Errors in matching can significantly distort in analytics: incorrect competitor pricing (when the wrong product is matched and compared) →  flawed conclusions → poor pricing decisions.

The challenge is further amplified by the dynamic nature of e-commerce. Competitors can introduce new products at any time — often with inconsistent naming or missing/incorrect EAN codes. In such cases, maintaining high matching accuracy becomes difficult, especially if the system relies solely on previously saved pairs of products.

Dealavo

Dealavo uses a two-step matching process. After collecting data from relevant sources, products are matched using machine learning algorithms and then manually reviewed by a quality assurance team.

This approach works well for predefined product pairs. However, it may be less effective when competitors list new or atypically formatted products — especially those not previously seen in the system.

Pricer24

Pricer24 employs a combination of multiple algorithms that analyze products across a range of attributes — including name, code, EAN, volume, features, and pricing position. All matches are passed through a confidence scoring system, and any low-confidence matches are flagged for manual verification. The algorithms continuously learn from mismatches, increasing matching accuracy with every iteration.

A key feature of Pricer24 is its daily analysis of all products on competitor websites across all relevant categories. Each newly discovered product is automatically evaluated and matched against the client’s catalog. This ensures that even products that were absent yesterday — but appear today — are quickly detected and linked.

By continuously tracking changes in both the client’s catalog and competitor listings, Pricer24 maintains highly up-to-date data and delivers market-leading product matching accuracy — 99.5%.

3: Data Visualization

Both Dealavo and Pricer24 use web-based interfaces for data visualization, but their approaches to data aggregation differ significantly.

Dealavo

Dealavo presents data across a set of predefined tabs, each dedicated to a specific function — price tables, assortment analytics, segmentation, dynamic pricing, and so on. The interface follows a fixed logic and structure. New features or customizing the layout of reports typically requires technical scoping and development by the provider’s team.

Pricer24

Pricer24 aggregates data in a way that’s tailored to the client’s needs and presents all key reports on a single dashboard — designed to highlight what requires attention today at a glance. The platform functions as a modular constructor, composed of dozens of analytical blocks that can be selected and configured based on the client’s specific use case.

At the beginning of the project, the Pricer24 team sets up a dashboard with relevant reports. Clients can later create additional reports on their own. When custom requirements arise, the team can adapt existing modules to deliver tailor-made solutions.

In short, Pricer24 doesn’t offer a one-size-fits-all interface — the platform is modified each time to meet the unique business goals of each client. This flexibility is especially valuable for companies with complex product catalogs or non-standard analytics needs.

4: Customization Capabilities

Dealavo

Dealavo offers a basic level of customization. The platform has a development team that can implement feature enhancements based on client requests — after technical requirements are agreed upon. This approach allows for limited adaptation of the platform to specific business needs.

Pricer24

Pricer24 functions as a fully modular solution that is customized for each client. Most of the customization options commonly required in the market are already developed and only need configuration rather than new development.

As a result, when a new business starts using the platform, there is typically no need to wait for custom development — the Pricer24 team can quickly assemble a tailored solution using pre-built modules. This enables clients to launch analytics in a convenient format — fast and efficiently.

Price Scraping from Allegro and Ceneo: Capabilities of Dealavo and Pricer24

Scraping competitor prices from Allegro is significantly more complex than from standard online stores.

Unlike regular e-commerce websites where one product typically has a single price, Allegro aggregates dozens of offers from different sellers under a single product listing. This greatly increases the cost and complexity of data scraping.

Another challenge is the imperfect offer grouping on the marketplace. On Allegro, sellers’ offers are automatically matched to products from the “Allegro Product Catalog” using EAN codes. If a seller enters the correct EAN, the system links their offer to the corresponding product card.

However, in practice, this mechanism often fails due to:

• some sellers not providing EAN codes or entering them incorrectly;
• not all products appear in the Allegro catalog;
• sellers creating duplicate product cards even when an identical item already exists, leading to dispersed offers.

Because of weak moderation on marketplaces, it’s common for identical products not to appear under the same product listing. This means that to monitor all offers on the market, platforms must detect all possible duplicates across the entire marketplace — often using semantic analysis and, in some cases, even image comparison.

Another nuance: Allegro frequently groups offers for products that differ in color, size, weight, etc.

To compare prices accurately, you must account for such differences — for example, the white color model of your product may be priced at 100 PLN, while the cheaper black color model might be listed at 85 PLN. Comparing these would lead to incorrect analysis.

It’s critical to match identical options for relevant price insights.

Ceneo operates on a different principle — it is a price comparison platform (price aggregator). Data gets onto the platform via XML integration with online stores: each partner provides a structured feed containing prices, product attributes, images, and other parameters.

Ceneo’s algorithms automatically group products into unified listings based on names, descriptions, attributes, categories, and images.

However, challenges remain:

• incomplete or inaccurate XML feeds;
• inconsistent naming formats;
• lack of universal identifiers such as EAN codes.

As a result, similar to Allegro, identical products can be scattered across multiple listings on Ceneo.

Due to these nuances, comparing prices on marketplaces and price aggregators like Allegro and Ceneo is technically very complex. The higher the data quality required, the more sophisticated — and costly — the solution should be.

Dealavo has been collecting data from these platforms for many years and has developed proven methods that deliver a reliable balance of price and quality, effectively showing prices of key competitors.

Pricer24 stands out for its flexibility in configuring data collection from Allegro and Ceneo. The system can operate with specific product listings without extensive duplicate searching or provide full market visibility by tracking all active offers. Clients can choose their desired level of accuracy based on their goals and budget.

This approach is especially relevant for niche online retailers who want to control analytics costs while still obtaining the strategic data critical for their business.

As a result, clients receive an efficient, scalable tool that adapts to current needs and can grow alongside their business.