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Take your e-commerce data usage to the next level
Dołącz do 50+ sklepów, które wybrały Data Octopus
Check how much you can gain by using Data Octopus
Select the data sources you use:
What are your monthly advertising expenses?
Your monthly budget
Your margin
Your monthly margin
Online stores using Data Octopus report an average 10% reduction in advertising costs thanks to more effective budget allocation and better alignment of advertising strategies with the products and brands in their offer.
Estimated total budget savings on non-revenue generating products
Estimated total value of additional profit
Estimated total savings from automating work with data
Estimated annual value
Estimated value per month
Estimated ROI with Data Octopus
Check out what our customers say about us:
E-commerce and agency digital teams save up to 30% of their time with Data Octopus
Marcin Shubert
Head of E-commerce
Selsey
Data Octopus helps us better control spending and allocate budgets to the right products. Margin data helps us optimize campaigns more effectively and improve profitability.
Maciej Siwiec
Head of E-commerce
Reporter
By using product data from many sources, Data Octopus really supports us in optimizing advertising campaigns in Google and Meta.
Anna Maślak
PPC Manager
PromoTraffic
Data Octopus gives us new opportunities to aggregate and activate data produced from multiple sources, which helps us allocate our budgets more effectively and achieve our strategic goals.
Bartosz Tarnopolski
Właściciel
AdsCheck
Thanks to Data Octopus, we have wider optimization possibilities using product data and save time thanks to automation.
Bartosz Nawrocki
E-commerce Manager
Unitrailer
Data Octopus gives us convenient access to key data at the product, brand and category levels to help us make business decisions.
Paweł Bogunia
Traffic Supervisor
R-GOL
Data Octopus allows us to analyze product data from multiple sources in one place. Additionally, we can centrally manage feeds for several markets in a single dashboard.
Marcin Shubert
Head of E-commerce
Selsey
Data Octopus helps us better control spending and allocate budgets to the right products. Margin data helps us optimize campaigns more effectively and improve profitability.
Maciej Siwiec
Head of E-commerce
Reporter
By using product data from many sources, Data Octopus really supports us in optimizing advertising campaigns in Google and Meta.
Anna Maślak
PPC Manager
PromoTraffic
Data Octopus gives us new opportunities to aggregate and activate data produced from multiple sources, which helps us allocate our budgets more effectively and achieve our strategic goals.
Bartosz Tarnopolski
Właściciel
AdsCheck
Thanks to Data Octopus, we have wider optimization possibilities using product data and save time thanks to automation.
Bartosz Nawrocki
E-commerce Manager
Unitrailer
Data Octopus gives us convenient access to key data at the product, brand and category levels to help us make business decisions.
Paweł Bogunia
Traffic Supervisor
R-GOL
Data Octopus allows us to analyze product data from multiple sources in one place. Additionally, we can centrally manage feeds for several markets in a single dashboard.
Not sure which plan to choose?
Start today, cancel anytime with a 1-month notice period.
Start
249 $
net month
Growth
649 $
net month
Pro
999 $
net month
SKU
The number of all products, including variants, in your product feed. The SKU limit applies to a single market.
0-10,000 market
11,000-50,000 market
No limit
Refreshing data
The maximum frequency at which Data Octopus retrieves data.
Every 4 hour
Every 1 hour
Every 1 hour
BigQuery data warehouse
The native warehouse in which Data Octopus stores data is Google BigQuery.
Two-factor authentication (F2A)
Two-factor login is an effective method of protection in the event that an unauthorized person obtains your login details.
Data sources
Sources from which we collect data about products, brands and categories in your offer.
GMC Standard Product Feed
Basic information about products that is most often generated in the form of a feed by an e-commerce engine.
Google Analytics 4 API
Downloading data from Google Analytics using the API.
Google Ads API
Downloading data from Google Ads using the API.
Meta Ads API
Downloading data from Meta Ads using the API.
CSV/XML/URL/Google Sheets/JSON
Additional data formats that can be imported into Data Octopus.
BigQuery external
Transferring additional data from customer-owned BigQuery
Google Search Console API
Download Google Organic search and click data directly from the GSC API.
Allegro Ads API*
*Account management by an Allegro Ads Partner required
Daily API downloads of key data about Allegro Ads offers, ad groups, and campaigns. API access through a certified Allegro Ads Partner required.
Data Mapping & Product and Customer Segmentation
The process of combining data into a single model and preparing product feeds according to the standards required by specific systems such as Google, Meta, or Criteo. The Segments Library contains predefined and most popular product segmentation methods.
Several data mapping functions and multi-threaded rules
Advanced engine for creating product segmentation rules using several functions.
Model Products
A proprietary product data model created by the Data Octopus application.
40+ platforms for which you can prepare a product feed
Over 40 platforms for generating product feeds. These include advertising systems, marketing automation, chatbots, e-commerce sales optimization solutions, price comparison tools, marketplaces, and more.
Segments library Standard
Predefined, standard product segmentation strategies.
Segments library PRO
Predefined, custom and more advanced product segmentation strategies.
Custom data mapping prepared by Product Expert
Manual and custom processing of input data for dedicated strategies.
A padlock that blocks data refresh in the model to a predefined point in time
A mechanism for managing the refresh of a single data mapping rule.
Dedicated rules for selecting products in the output feed, written in SQL by a Product Expert
Individual rules additionally select products that will ultimately go to a specific output system via the feed.
Model Clients
A proprietary customer data model containing RFM segmentation and key data about customers who made an in-store purchase.
Creating flexible audience lists for advertising systems
Advanced capabilities for creating flexible audience lists for advertising systems based on data from the e-commerce engine.
Data visualization and analytics
Data Views present the most important information about the products, brands, and categories in your offer for any date range. No more manually collating data from multiple sources. Additional views will ensure you focus on the products, brands, and categories that truly matter.
DV Google Analytics 4: Product, Brand, Category Performance
A report showing key GA4 data for each product, brand, and category in the store’s offerings, covering any date range. Data displayed includes: views, cart additions, sales, conversions, and net revenue.
DV Lost Revenue
This report analyzes lost revenue related to products that generated sales in the last 30 days but are currently unavailable in your product feed. The report combines data from Google Analytics 4, Google Ads Shopping campaigns, and Meta Ads, providing a comprehensive picture of potential revenue losses related to product unavailability. By default, data is sorted by Google Analytics net revenue, showing the products with the greatest impact on lost revenue.
DV New Products
This report focuses on newly added products, tracking their performance across various data sources during their first 30 days in the product feed. By combining data from the Product Feed, Google Analytics 4, Google Ads Shopping campaigns, and Meta Ads, the report provides key insights into how new products are performing immediately after launch. The report displays products added in the last 30 days, based on DataOctopus’s product aging tracking system.
DV Google Ads: Product, Brand, Category Performance
A report showing key Google Shopping data for every product, brand, and category in your store’s offerings, covering any date range. Data displayed includes: impressions, clicks, CTR, advertising costs, conversions, net conversion value, COS, and ROAS.
DV Meta Ads: Product, Brand, Category Performance
A report showing key data from Meta Ads product campaigns for each product, brand, and category in the store’s offerings, covering any date range. The data displayed includes: impressions, clicks, CTR, and advertising costs.
DV Profit: Product, Brand, Category
A report showing sales profitability, including margin, for each product, brand, and category in the store’s offer.
DV Google Search Console
Visualization of data retrieved from the Google Search Console API.
E-commerce engine: Product, Brand, Category Performance
This report presents key product, brand, and category data from your e-commerce engine. It shows actual revenue, volume, return value, average cart position, and other valuable data for any date range.
E-commerce engine Returns: Product, Brand, Category
Report on the quantity and value of product returns, brands and categories in any date range based on data from the e-commerce engine.
E-commerce Overview
The Overview Report is an analytical tool that provides key insights into the performance of your online store. The report presents key metrics related to customers and sales, allowing you to quickly assess your store’s performance and make informed business decisions.
Customer Report
The Clients Report provides detailed information on customer behavior and order dynamics over a selected period. It allows for analysis of key metrics, broken down into new and returning customers, which is essential for assessing the effectiveness of marketing activities and sales strategies.
Customer Report Base
The Client Base report is the analytical hub for your store’s entire customer base. Unlike other reports, it doesn’t have a date selector and always presents historical data from the store’s inception. This report focuses on RFM (Recency, Frequency, Monetary) segmentation, customer lifecycle analysis, and identifying active and churn customers.
Raport Allegro Ads
Visualize Allegro Ads data at the campaign, ad group, and individual offer levels across any date range. API access through a certified Allegro Ads Partner required.
Product Expert
Technology isn’t everything. A Product Expert is an experienced partner who will help you connect the dots, select, and implement the best product and customer segmentations.
Introduction to the application (initial training)
Structured, basic on-boarding for the application.
Creating basic product segmentations based on organized data sources
Implementation of the first basic segmentations from the Data Octopus library.
Configuring the feed for Google and/or Meta Ads
Preparation of product files in Google and/or Meta Ads schemas, taking into account the first segmentations.
Dedicated profit-based analyses and recommendations, taking into account margins
Analysis, recommendations, segmentation based on knowledge of margin and sales profit.
Dedicated strategic meeting to kick off cooperation and recommendations for Paid Ads activities
Consultations organized around the activation of data from Data Octopus on the advertising systems side.
Custom segmentations based on additional data sources
Implementation of individual product segmentations outside the Data Octopus library.
Data analysis from all sources and reports connected in the application
Cyclic analysis and recommendations based on data and reports available in the application.
Advanced data mapping
Custom, dedicated data processing to meet the requirements of Data Octopus output file schemas and models.
Quarterly strategy meeting and recommendations
Regular strategy meeting to support the use of Data Octopus and recommendations and insights from the data.
Additional functionalities
Export danych do Google Sheets, XML, CSV
Possibility to export data for further processing or analysis.
Data transfer to Google Merchant Center (GMC) via API
Direct data transfer between Data Octopus and GMC via API. Fast product data updates, especially useful for large SKUs and fluctuating product prices.
Support
Mail and chat channels
Support via in-app widget and Intercom system.
Telephone channel, Google Meet
Additional telephone and video call support.
Response time
Approximate upper response time to a support request.
Up to 24 hours
At 4am
Do 2h
Frequently Asked Questions
Is a free version or trial of the system available?
No. Data Octopus requires real data to be downloaded and prepared for operation. This generates infrastructure costs for Data Octopus.
How does the Data Octopus pricing work?
The first step is to choose one of the 3 subscription plans. The second step is to select the number of markets where you want to use Data Octopus. The first market is free and included in the subscription plan. The third and final step is to decide on add-ons such as integration with the e-commerce engine or additional customer segmentation.
Which e-commerce platforms does Data Octopus integrate with?
By default, Data Octopus, besides the product feed in the GMC schema, collects data via API from Google Analytics, Google Ads, and Meta Ads. Additionally, we have integrations with e-commerce platforms such as IdoSell, Shopify, and Shoper. The full list of integrations can be found at this link: Integration List
What does the process of granting access to my data sources look like?
Instructions on how to grant Data Octopus access to your data sources can be found at this link: Access Grant Instructions | Help Center
What does the process of starting to use Data Octopus look like?
Choose a plan, number of markets, add-ons, and click “Order Data Octopus.” In the next step, you will be asked to fill in basic information and accept the terms of service and privacy policy. The final step is to confirm the order by clicking the button in the email sent to the provided email address. Done — and we can start configuring Data Octopus for you!
What payment methods are available?
At the moment, payment is made by bank transfer based on an invoice. In the future, direct payment by card will also be available.
Where can I find more information about the terms of service and privacy policy?
You can find the terms of service here: Terms of Service, and the privacy policy is available at this link: Privacy Policy.
How long does it take to configure the system?
Depending on the data sources, their cleanliness, and consistency, it takes from a few hours to several business days.
Can I change the plan during the contract period?
Yes. You can do this at any time by contacting the Product Expert who is assisting you.
What happens after ordering Data Octopus?
You will receive an order summary at the email address provided during the order and be asked to click to confirm it. In the next step, you will receive an email inviting you to start configuring the application by connecting your data sources.
Will Data Octopus improve my store’s performance?
Yes, although the extent depends on how deeply you utilize the feeds, audience lists, and reports generated by Data Octopus. By aggregating data from multiple sources, you’ll get a complete picture of your products, brands, and categories. A Product Expert will support you in making decisions and implementing the best segmentations that align with your business goals. Effective implementation and optimization at the ad account level remain your responsibility, but you’ll have a strong partner in Data Octopus, equipped with new data and capabilities.
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