Your all-in-one data provider for dedicated enterprise projects

No. Traffic, conversion rates and campaign ROI are confidential to each company. What we deliver instead is detailed intelligence on their public marketing: the messaging, timing and mechanics of their promotions, the ad creatives they run and where they place them, their social media content, engagement (likes, shares and views) and campaign launches on Facebook, YouTube and Instagram, and their blogs, whitepapers and press mentions. With it, you can reverse-engineer your competitors' strategy.

Yes. Our fully managed pipeline delivers data the way your systems need it, with no extra work for your team. Webhooks can trigger your tools automatically, for example alerting your ad platform when a competitor runs out of stock. A secure REST API lets your internal systems pull data on demand. And we can deliver analysis-ready files straight to your cloud storage (Amazon S3, Google Cloud Storage) or data warehouse (Snowflake, BigQuery).

You define the scope. We monitor everything from e-commerce sites and marketplaces to brand websites and social media platforms. We can track promotional activity and content across Facebook, Instagram, YouTube, TikTok, and other relevant networks. All our work is performed ethically.

We collect the publicly displayed price from any source you define, in any geography. How often we collect it is fully customizable, and you agree the frequency with us. For highly dynamic markets like travel or electronics, we recommend a higher frequency, so your team can make fast, data-driven pricing moves.

No, the pricing engine is yours. We supply the market data that makes it win: the market context your algorithms need to set the right prices and protect your margins.

Global. Our network of geo-targeted proxies lets us see the exact price a customer sees in any country or region. How many sources we cover is up to your project, from five key competitors to five thousand retailers on a marketplace.

Direct-to-consumer websites, multi-brand retailers and major marketplaces like Amazon, Alibaba or Allegro. We do not promise to cover every seller in a market. We agree the scope with you: you tell us the key competitors, channels and geographies that matter, and we build a solution that covers as much of that market as possible. You get a clear and accurate picture of your competition.

Yes. Our Digital Shelf Analytics service scrapes your product pages across all your retail partners automatically and checks titles, descriptions and images against your official brand guidelines. Automated reports flag non-compliant listings, so your sales team has hard evidence when it enforces brand standards.

Our platform handles anything from a few hundred SKUs for a niche luxury brand to several million SKUs for a global CPG company, across dozens of countries.

Yes, and we put it to work on the hardest problems. Machine learning (ML) models match products accurately across thousands of websites, even without clean identifiers like a SKU or EAN. Anomalies in the data are flagged automatically, so what you receive is clean and reliable. And our crawlers use ML to get past sophisticated anti-bot systems, for a reliable data flow backed by a 99.9% uptime SLA.

We deliver structured, analytics-ready data straight into the platforms you already use: any major cloud platform (AWS, Google Cloud, Azure), data warehouse (Snowflake, BigQuery, Redshift) or BI tool (Tableau, Power BI). We're platform-agnostic, and integration is a core part of our service.

Not necessarily. Our standard service delivers clean, structured data your existing analytics team can use immediately. If you have no analytics team, our "Insights as a Service" package puts our own data science specialists on the job: they build and maintain custom dashboards and reports that turn the data into strategic insights for your executive team. You get the full value of data analysis without adding headcount.

We can, without naming anyone. Our case studies and success metrics come from enterprise clients in your industry, with every client anonymized. These examples from Fortune 500 retailers, leading financial institutions, and global CPG brands will show how we have solved the same large-scale data challenges you are facing.