Product update:Competera Pricing Platform and Competitive Data are now available in new editions. See what is new →
Skip to content
competitve data

Competitive Data

by Competera: Retail competitive intelligence 

Learn how Competitive Data by Competera helps mid-to-enterprise retailers make confident pricing decisions, react faster to market shifts, and eliminate margin leakage through SLA-controlled, context-aware competitive intelligence across their full assortment
Talk to an expert Watch product tour
50+
international retail clients
Metric 1: international retail clients
30+
markets for data tracking
Metric 2: markets for data tracking
98%
average data delivery SLA
Metric 3: average data delivery SLA
2
weeks time-to-value
Metric 4: weeks time-to-value

Trusted by 50+ organizations across the globe

capterra
g2
crozdesk
Speedway MotorsTSCiHerbFindelCult BeautyLOOKFANTASTICNovusStarboardFlaconiSephoraJumiaUnion CoopWilkoAUTODOCRangeLyreco
PRODUCT CAPABILITIES

How Competera’s retail competitive intelligence works

Build a solid competitive data foundation today so your pricing function is ready to adopt a pricing platform tomorrow
DATA COLLECTION

Get high-quality, context-rich competitive data to power your pricing

Collect competitor prices, promotions, stock levels, and custom attributes across every market on your schedule.

  • On-demand scraping: choose which competitor sites, categories, and SKUs to scan, including multiple scans per day, timed before your repricing event.
  • Full competitive context: capture not just prices but promo mechanics, discount depth, coupon codes, multi-buy offers, stock availability, and custom on-page attributes.
  • Geo, store, and marketplace coverage: collect region-, zip-, or store-specific prices and multi-seller marketplace data with seller identity retained. 
  • Anti-bot handling: ensure data scraping resilience across websites that deploy anti-bot protections with a dedicated engineering team.
WORKSPACE AND GOVERNANCE

Manage your competitive data operations in one platform built for pricing and commercial teams

View and control data collection, matching, and quality in one interface, with every tracked product, its scanning status, and its price history visible per competitor.

Configure when and how often each competitor and category is scanned, including multiple scans per day timed ahead of your repricing event.

Competitive Data
Pricing
SUPPORT PACKAGES

Pay only for the competitive data you actually use

With the pay-per-use pricing model, you gain complete cost control with no hidden fees, monitor usage in real time, and analyze reports on consumed data points region-wise. 

Pay-per-use billing

  • Pay only for SKUs that are actually delivered on time to your dashboard, never for failed or delayed scans.
  • Scale your coverage up or down without renegotiating a fixed contract.
  • Budget predictably with a prepaid balance that aligns spend to actual data consumption.

Consumption reporting

  • Review monthly reports that reflect your data usage, broken down by delivered data points and product matches.
  • Identify which categories, competitors, or regions drive the most consumption.
  • Make informed decisions about where to expand or optimize your data coverage.

Non-expiring balance

  • Prepaid balance never expires, so unused funds carry forward indefinitely.
  • Invest in competitive data coverage without pressure to use it within an arbitrary time window.
  • Add budget at your own pace as your assortment or competitor set grows.

Benefit from confident pricing decisions with transparent billing

View Plans & Pricing
INTEGRATIONS

Connect Competitive Data to the systems your pricing team already uses

Bring your product data in from any source and deliver competitive intelligence to any downstream system, with no manual file handling in between.
competitive_data_integrations_optimized
CUSTOMER SUCCESS

Success stories from retailers powering their pricing with Competitive Data across industries and markets

See how mid-to-enterprise retailers use Competitive Data by Competera to monitor competitor pricing across thousands of products and dozens of markets.
IMPLEMENTATION PROCESS

Deploy Competitive Data by Competera with the level of hands-on support your team needs

To see the value, you need just 2 weeks, a product list, and a set of business requirements. Our dedicated team of competitive data science experts provides end-to-end support with three levels of service ensuring 99.8% uptime and a response time of less than one minute.
scheme of implementation process
SOLUTIONS

What Competera’s retail competitive intelligence delivers

Learn more about Competera’s competitive intelligence capabilities designed to give your pricing team complete, trustworthy market data.

Price Intelligence

Competera equips retailers with profound insights into their key competitors’ pricing and 20+ demand-impacting factors.


Read more

Price Crawling

As the market becomes increasingly dynamic, businesses require ever-fresh competitive intelligence data to set optimal prices.
Read more

Price Tracking

Delivered by a team of competitive data science experts, our competitor price monitoring solution enables you to get a full 360-degree market view and enhance your competitiveness.
Read more

Pricing Analytics

Learn how competitive pricing analysis software helps brick-and-mortar and online retailers to analyze market situations.
Read more

Price Scraping

Staying ahead of the rivals and increasing market share requires the business to use only relevant quality data.
Read more

Product Matching

Product matching is the process of identifying products, their attributes, prices, and other features across different resources.
Read more

Build a competitive intelligence function that grows with your business

See how Competitive Data by Competera gives your team SLA-controlled, context-rich market data to make every pricing decision with confidence.
Talk to an expertView plans
Price recommendation banner

Resources for retail competitive intelligence and pricing teams

Explore guides, reports, and expert insights on competitive pricing strategy, price monitoring, and market data best practices.

cover-blog-article-5
article

Competitive pricing analysis: a step-by-step guide for retailers

Competitive pricing analysis is the process of collecting, comparing, and acting on competitor price data to inform your own pricing decisions.

bottlenecks_s
whitepaper

Bottlenecks of Competitive Data Scraping and Delivery

In this white paper we uncover competitive data quality requirements for different retailers, which criteria to use when checking the data quality after data collection process is finished, how the cost of data delivery varies by quality level, and which questions to ask the data provider when signing a contract to avoid fatal online retail mistakes, etc.

Image_resouces_Matching_Coefficients-1
use case

Similar Matches: How to Properly Position Prices for Private Label

Make accurate price positioning by finding similar matches of SKUs in the competitive assortment to set relevant prices, prevent margin and brand equity loss

FAQs about retail competitive intelligence

01

What is retail competitive intelligence?

Retail competitive intelligence is the practice of systematically collecting, structuring, and analyzing competitor pricing data, promotions, stock availability, and other commercial signals across your target markets. Unlike basic price scraping, competitive intelligence delivers context-rich, decision-ready data that pricing and commercial teams can act on with confidence.

02

Why do blind spots in market data hurt your pricing strategy?

When your competitive data covers only a fraction of the market, pricing decisions are based on an incomplete picture. Missing competitor prices, undetected promotions, or incorrect product matches lead to two costly outcomes: unnecessary price concessions where you undercut the market without realizing you were already competitive, and missed opportunities where competitors raise prices and you fail to follow. Over time, even small blind spots compound into measurable margin erosion and revenue loss. Retailers operating with manual spot checks typically cover 20 to 30% of their competitive landscape, leaving the other 70% unmonitored.

03

What are the competitive pricing challenges that enterprise retailers face?

Enterprise retailers face three core challenges. First, scale: monitoring thousands of SKUs across dozens of competitors, regions, and channels creates a data volume that manual processes cannot sustain. Second, accuracy: wrong product matches silently distort pricing decisions, and most teams have no reliable way to detect or prevent them. Third, context: raw competitor prices without promo flags, stock availability, or variant-level detail do not tell the full story. A competitor’s price may appear lower, but if it includes a temporary promotion, a different pack size, or an out-of-stock item, matching it would be a margin-destructive decision. These challenges grow with assortment size, making automated, SLA-controlled competitive intelligence essential.

04

What key use cases does Competitive Data by Competera cover?

Competitive Data by Competera covers five primary use cases. Real-time competitor price monitoring: track competitor prices, promotions, and stock availability across your full assortment on a schedule you define, with multiple scans per day timed before your repricing events. Promotional and discount intelligence: capture promo type, discount depth, coupon codes, multi-buy offers, and on-page badges so your team sees the full commercial context behind every competitor price. Assortment gap analysis: identify where competitors carry products you don’t, where you’re in stock and they aren’t, and where new competitor listings appear, using similar matching and full category crawls. Product matching: map your SKUs to competitor listings using a combination of AI, rule-based logic, and human validation, with 95% match quality guaranteed by SLA. Foundation for pricing optimization: feed validated, context-rich competitive data directly into Competera’s Pricing Platform so AI-driven pricing decisions run on trustworthy, current market data.

05

What are the benefits of using Competera’s Competitive Data?

Competera’s Competitive Data delivers five measurable benefits. Complete market coverage with no cap on SKUs, competitors, regions, or scan frequency. Trustworthy product matching with 95% quality guaranteed by SLA, combining AI automation with human validation. Full competitive context that goes beyond prices to include promotions, stock availability, custom attributes, and multi-seller marketplace data. SLA-controlled data freshness, with collection timed before your repricing events so pricing decisions run on current data. And a direct path to pricing optimization: Competitive Data feeds into Competera’s Pricing Platform, so the same data foundation scales from competitive monitoring to demand-aware AI pricing without migration or data loss.

06

How often does Competera refresh competitive pricing data?

You define the collection frequency. Competitive Data supports multiple scans per day, timed before your repricing events so pricing decisions always use the freshest data available. There is no cap on daily scans. Collection schedules are configurable per competitor and per category, so high-priority SKUs or fast-moving categories can be scanned more frequently than the rest of the assortment. Data freshness is tracked in the Data Health dashboard, broken down by time band (under 3 hours, 3 to 8 hours, over 8 hours), so you can verify completeness and freshness before any repricing run.

07

How many SKUs and markets can Competera’s Competitive Data cover?

There is no cap on the number of SKUs, competitor sites, regions, or markets. Coverage and frequency are defined by your business needs, not by platform limits. Competera currently serves 52 international retail clients across 34 tracked markets, delivering over 119 million data points monthly. Whether you need to monitor 10,000 SKUs across 5 competitors or 500,000 SKUs across 50 competitors in multiple countries, the platform scales without renegotiating scope or pricing structure.
08

What happens if quality data isn’t provided?

When competitive data is inaccurate or incomplete, pricing decisions carry hidden risk. Wrong product matches lead to false price comparisons, which in turn cause unnecessary price concessions or missed competitive responses. Missing data points create blind spots where competitors move undetected. Over time, this erodes margin, weakens market position, and blocks any downstream automation or AI initiative because teams cannot trust the data feeding those systems. This is why Competera guarantees data quality by SLA: 95% match quality, 98% scraping quantity, and 99% scraping quality, with automated anomaly tracking and human validation layers that catch errors before they reach a pricing decision.
09

How does Competera’s retail competitive intelligence connect to pricing decisions?

Competitive Data by Competera is designed as the data foundation for pricing decisions, not as a standalone monitoring tool. Collected competitor prices, promotions, and stock data flow directly into Competera Pricing Platform at predefined intervals, so the pricing engine always operates on current, validated market data. For retailers using Adaptive AI (price-led optimization), competitive data feeds the rule builder and statistical forecasting. For retailers using Contextual AI (demand-led optimization), it becomes one of 20+ demand-driving factors the model considers. This direct connection means there is no manual export, no data transformation step, and no delay between market movement and pricing response.

10

Is Competitive Data a “competitive pricing software”?

Competitive Data by Competera goes beyond what most competitive pricing software delivers. Traditional competitive pricing tools focus on scraping competitor prices and presenting them in a dashboard. Competera adds three layers that make the data actionable: structured product matching with 95% quality guaranteed by SLA (not just price collection, but accurate like-for-like comparison); full competitive context including promotions, stock availability, and custom attributes (not just shelf prices); and a direct feed into Competera’s Pricing Platform so the data powers automated pricing decisions, not just manual analysis. It is competitive intelligence built for pricing teams, not a standalone scraping tool.
11

Why is Competitive Data the best price scraping solution?

Competitive Data by Competera is built on the premise that price scraping alone is not enough. Most scraping solutions collect raw prices but leave product matching, quality assurance, and context to the customer. Competera handles the full pipeline: collection across unlimited SKUs, competitors, and regions; three-layer product matching (exact, similar, and variant) with 95% quality guaranteed by SLA; automated QA through more than 20 validation logics plus human review; and full competitive context including promo mechanics, stock availability, geo-level pricing, and marketplace multi-seller data. Every data point is delivered under published SLAs for quantity, quality, and freshness, with a dedicated engineering team handling anti-bot protections so data collection is never interrupted. The result is structured, validated, context-rich competitive intelligence ready to power pricing decisions from day one.