Better feeds. More effective product campaigns.

A regular feed tool formats a product file for each channel, while planning and execution stay on your side. Data Octopus combines 50+ columns per product in one data model (store, GA4, Google Ads, Meta Ads, margin and BigQuery as its native data warehouse), segments products by sales, margin and ad performance, and versions feeds for each of 35 ad channels. It also delivers predefined strategies (Data Octopus Frameworks), RFM audience lists, product, brand and category performance reports, and Product Expert support instead of a plain help desk.

A store feed describes the offer: name, price, availability. It doesn't tell you which products earn money, which only cost money and which are growing. Data Octopus enriches the feed with sales, margin and ad data and adds custom labels, so you can split products across campaigns and budgets based on their results.

E-commerce businesses with broad catalogues, significant product-ad spend and data spread across many systems. Data Octopus is used by e-commerce directors and owners, PPC specialists, agencies, in-house teams and Enterprise companies. Value grows with the number of products, channels and markets: for a small catalogue Data Octopus costs more than simple feed-only tools, but for larger stores that want to work from strategies it is cheaper than competitors and self-built AI tools.

Data Octopus has ready integrations with stores (including IdoSell, Shopify, PrestaShop and Shoper), product files, Google Analytics 4, Google Ads, Meta Ads, Google Sheets, XML and JSON files, and BigQuery, the platform's native data warehouse, plus the sales channels and comparison sites it sends feeds to. Data refreshes automatically every day, so segments and labels reflect current results.

Ready-made analysis and action playbooks, each with a clear goal and one label in the feed. Examples: rising and declining products, cost without revenue, too little budget per product, margin-level profitability, returns, new arrivals and cross-channel potential. Data Octopus assigns products to segments and updates them with the data; you decide how to use them in campaigns.

Yes. Data Octopus builds audience lists from store purchase data, for example by purchase value and frequency (RFM) or past high-value customers. Use them in Google Ads and Meta Ads campaigns to reach your most valuable customers and win back lapsed ones.

No. Integrations with popular platforms work without coding, and our team helps configure Data Octopus and map your data. Only custom sources, such as in-house systems or data warehouses, may need extra technical arrangements.

No. Data Octopus provides data, segments and feeds that make agencies' and PPC specialists' work easier and faster. Agencies can repeat the same playbooks across clients, and a Product Expert goes beyond help-desk tickets, helping choose the strategy and implement it with the people running your campaigns.

Yes. Data Octopus can use product margin, returns, stock levels and your own product attributes. Segmentation is then based on profit rather than revenue alone, and offer-selection rules match your business priorities.

Data Octopus offers a set of seasonal feed strategies for Q4: from warming up algorithms before the peak, through protecting margin and raising basket value, to closing purchase intent in short windows such as Black Friday or Christmas. Each strategy relies on data and feed labels, so it can be set up before the season.

Yes. In Data Octopus you can build feeds, segments and audience lists for many markets and currencies, with rules tuned to local results and strategy. This matters most for Enterprise companies and stores selling abroad.

Stores mainly use Data Octopus to move budget from products that only generate cost to products that sell, and to unlock the potential of the whole catalogue. The usual effect is higher revenue and campaign profitability with controlled spend. We describe specific stores' results in our case studies.

At the start we agree goals, data sources and scope. A Product Expert helps with implementation and, depending on the plan, with ongoing configuration, analysis and recommendations. Once running, data and labels refresh automatically, so your team focuses on decisions rather than data preparation.

Data in Data Octopus is stored in the European Union, in an isolated Google Cloud Platform environment, and encrypted (AES-256, TLS 1.3). It is never used to train external AI models and never leaves your account.

Data Octopus pricing depends on the plan, number of markets and add-ons. Plans differ in features and Product Expert support; current options are listed on the pricing page. Compared with feed-only tools, you also get strategies, reports and support you would otherwise have to build yourself.

Yes. Start with a free Product Audit: after you create an account and connect Google Ads, Data Octopus analyses your offer, splits products into revenue segments and shows where budget is wasted. You can also book a demo, where we show the platform on examples from your industry.