Competera Pricing

Competera pricing:  
packages for every stage of pricing maturity

Competera covers the full pricing lifecycle, from competitive price monitoring to price- and demand-led optimization, with two products that share one workspace and one data foundation. Explore the commercial model of each product to build a pricing solution that fits your current needs.

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Pay-per-use market data

Starter

For retailers moving from an underperforming data vendor to competitive data they can actually trust — without committing to volumes upfront

You're billed only for collected, on-time data points, with full transparency into every match and scan

$0.0007per data point

+ $1,080/month fixed platform fee

Contact sales

Includes

Exact, similar and variant product matching with confidence scoring
Match validation and overrides directly in the UI
Custom attribute collection: promo mechanics, stock, basket prices at no extra cost
Unlimited SKUs, competitor sites and regions with anti-bot handling
MCP and API access to all data
Standard support

SLA-controlled market data

95% accuracy SLA

Enterprise

For retailers moving from fragmented country-level feeds to one consistent, highly accurate competitive dataset across all markets and banners

One dataset, every market — consistent, SLA-backed accuracy across all countries and banners, priced for the largest volumes in retail

$0.00041per data point at volume

with commit-to-spend discounts

- at 25,000,000 data points per month · + $1,080/month fixed platform fee

Contact sales

Includes

Everything in Starter, plus:

Contractual matching SLA: 95% match coverage and 95% match accuracy
Dedicated support and a dedicated Matching Quality Control Manager
SSO (single sign-on)
Multi-country, multi-banner data consistency management
Priority scan scheduling timed to your repricing events
Commit-to-spend option with additional volume discount

95%

match quality
98%

scraping quantity
99%

scraping quality
1 business day

operational SLA

Competera’s platform is a great tool for price optimization and price management. As a user, I really appreciate the Competera dashboard which gives me the opportunity to work on any level — from the portfolio level to going as deep as the SKU level. With Competera, we know which strategy is gonna benefit us the most and go from there.

We chose Competera for the functionality of the platform, having a wide variety of features and offering a solution to simplify our complex pricing process. We managed to decrease the time needed for the pricing process by half and switched to daily pricing rounds — definitely simplifying our pricing operations.

We chose Competera because their advanced AI pricing system considers critical factors beyond elasticity like product cannibalization, their proven success in the Ukrainian market, and their willingness to offer pre-piloting, demonstrating their expertise and commitment to delivering results.

FAQ about Competera pricing

How much does Competera cost?

Competera pricing is scope-based. The final cost depends on the number of SKUs, markets, and channels covered, the edition (Adaptive AI or Contextual AI), selected add-ons, the support package, and the deployment model. Because every retailer's portfolio and maturity stage are different, Competera builds a custom proposal rather than publishing fixed rates. Contact the team for a proposal tailored to your scope.

What is included in each Competera package?

Competitive Data includes SLA-controlled competitive price monitoring with AI-powered product matching and a pay-per-use billing model. Adaptive AI adds a statistical pricing engine driven by price elasticity, smart segmentation, a no-code Rule Builder, and Pricing Campaigns Management. It requires 3+ months of transaction history. Contextual AI adds a neural-network engine modeling 20+ demand factors, What-If Simulations, Long Term Demand Forecasting, Promo and Markdown Pricing Optimization, and AI-Contextual Analytics. It requires 24 months of historical data.

Can I start with Competitive Data and upgrade later?

Yes. Competitive Data, Adaptive AI, and Contextual AI share one workspace and one data foundation. A retailer can start with competitive price monitoring and move to price-led or demand-led optimization when ready. Data, configuration, and team capability carry forward at every step.

How long does implementation take?

Competitive Data is live within 14 days. Pricing Platform implementation (Adaptive AI or Contextual AI) takes up to 60 days depending on scope. Scaling to a new channel takes approximately 1 week.

Does Competera offer a pilot or proof of concept?

Yes. Every engagement begins with a pilot, and commercial KPIs are agreed upfront before the pilot starts. Competera has a 100% pilot success rate across its client base of 50+ international retailers.

What data do I need to get started?

Adaptive AI requires a minimum of 3 months of transaction history. Contextual AI requires 24 months. For Competitive Data, the retailer supplies a product catalog with full product titles, product URLs, brands, categories, and at least one identifier (GTIN, EAN, MPN, or UPC) to activate the match quality SLAs. Products without an identifier are still matched, but fall outside the SLA guarantee.

What integrations does Competera support?

Inbound: direct database connections (Oracle, MSSQL, PostgreSQL, MySQL, SAP HANA), API, SFTP, Snowflake, and Databricks. Outbound: REST API, on-demand CSV export, scheduled email reports, and custom connectors including Amazon S3, SFTP, and Google BigQuery. Security: IPSec/VPN tunnels, whitelisted IPs, and SSO via OIDC (for example, Okta).

What is the difference between Guided and Managed deployment?

Guided means the retailer's team leads the implementation and ongoing operations, with Competera providing support. Managed means a systems integrator runs the process, with Competera providing support. Both models are available for any edition. Competera recommends Managed as the default for faster time to value.

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