Take advantage of
product data to
product data to
scale up sales
increase profitability
globalise
plan growth
of your e-commerce
Better input means better output
Advertising & Marketplace platforms
E-commerce platforms
Data warehouses
Others
E-commerce leaders
Key sales data on brands, categories and products in one place
Key sales data on brands, categories and products in one place
PPC & Marketing specialists
Feed marketing and reporting of product effectiveness from key channels
Feed marketing and reporting of product effectiveness from key channels
Chief Operating Officers
Key KPIs and forecasts in one place
Key KPIs and forecasts in one place
Analysts
Access to raw data from all integrations
Access to raw data from all integrations
Output data
Platform for
performance and analytics teams
performance and analytics teams
E-commerce 
Digital Marketing Agency 
E-commerce leader 
PPC & Marketing specialist 
Analyst Data Octopus is right for your e-commerce if:
- You have a large number of SKUs – ideally amounting to tens or hundreds of thousands of products.
- You sell through Google Shopping and other advertising channels – ideally across multiple markets.
- You have a lot of distributed product data and don’t have the time and resources to analyze it manually.
- You want to reduce the need for IT resources and data analysts in the area of performance marketing and analytics.
- You have products with different margins and managing those margins is important to you.
Why should your digital marketing agency use Data Octopus?
- A range of automations to speed up operations on product feeds and advertising accounts.
- A structure of accounts, projects and accesses tailored to the agency working model.
- Ready-made Product Fields Library repository so you lower the level of experience needed to segment products based on data.
- Master report aggregating key product sales data which will improve reporting of your work.
From an e-commerce Leader's perspective, what issues does Data Octopus address?
- Reduce the need for IT resources and digital analysts.
- No need to invest time and money in in-house cloud solutions for Business Intelligence and Data Marketing.
- Deep customisation is possible thanks to hundreds of applications available on the Google Cloud Marketplace, which act as ready-made components to ramp up your e-commerce.
If you are a PPC Specialist, you will definitely appreciate:
- Advanced operations on large product data batches.
- Ready-made Product fields library repository created by PPC experts like you.
- Dozens of inbound and outbound integrations, which will allow you to start selling through new channels in new markets quickly and securely.
- Reports combining key product data from several sources.
If you are responsible for data and e-commerce analytics, then you will definitely appreciate:
- Native integration and use of Google Looker to build a Business Intelligence environment.
- A ready-made repository of dashboard templates for e-commerce which will speed up the building of your reporting system.
- A ready-made repository of dashboard templates for e-commerce which will speed up the building of your reporting system.
Access to Model garden within Big Query ML and Vertex AI which will enable previously unavailable analysis and increase data usability.
Platform for
performance and analytics teams
performance and analytics teams
Data Octopus is right for your e-commerce if:
- You have a large number of SKUs – ideally amounting to tens or hundreds of thousands of products.
- You sell through Google Shopping and other advertising channels – ideally across multiple markets.
- You have a lot of distributed product data and don’t have the time and resources to analyze it manually.
- You want to reduce the need for IT resources and data analysts in the area of performance marketing and analytics.
- You have products with different margins and managing those margins is important to you.
Why should your digital marketing agency use Data Octopus?
- A range of automations to speed up operations on product feeds and advertising accounts.
- A structure of accounts, projects and accesses tailored to the agency working model.
- Ready-made Product Fields Library repository so you lower the level of experience needed to segment products based on data.
- Master report aggregating key product sales data which will improve reporting of your work.
From an e-commerce Leader's perspective, what issues does Data Octopus address?
- Reduce the need for IT resources and digital analysts.
- No need to invest time and money in in-house cloud solutions for Business Intelligence and Data Marketing.
- Deep customisation is possible thanks to hundreds of applications available on the Google Cloud Marketplace, which act as ready-made components to ramp up your e-commerce.
If you are a PPC Specialist, you will definitely appreciate:
- Advanced operations on large product data batches.
- Ready-made Product fields library repository created by PPC experts like you.
- Dozens of inbound and outbound integrations, which will allow you to start selling through new channels in new markets quickly and securely.
- Reports combining key product data from several sources.
If you are responsible for data and e-commerce analytics, then you will definitely appreciate:
- Native integration and use of Google Looker to build a Business Intelligence environment.
- A ready-made repository of dashboard templates for e-commerce which will speed up the building of your reporting system.
- A ready-made repository of dashboard templates for e-commerce which will speed up the building of your reporting system.
Access to Model garden within Big Query ML and Vertex AI which will enable previously unavailable analysis and increase data usability.
Better input data equals
better output in
Data&Feeds area
better output in
Data&Feeds area
Smartly model your data for the requirements of advertising channels like Google Shopping, Meta Ads and Ceneo.
Create your own versions of the data and add custom labels as a result of external data sources.
In the end, you lower the necessary level of knowledge, save time, improve the quality of optimization
and better input data means better results from advertising campaigns.
Unleash the power of data with Data
Warehouse and Reports section
Warehouse and Reports section
We have prepared ready-made dashboard templates in parallel giving you the option to create your own.
This will allow you to easily plug in and process raw data from all integrations.
What sets us apart is our focus on product context with a category or brand in mind.
Ready-made data connectors available through Biq Query within the Google Cloud Marketplace will
further enrich your BI system with minimal involvement. As of today, you don’t have to be
a big e-commerce company to have your BI.
Product Data Management is a key area
for improving e-commerce performance
for improving e-commerce performance
>30%
of e-commerce offerings can generate costs without generating even 1 PLN in revenue
85%
of marketers rely on only one data source for product segmentation
Only 2%
of marketers segment products using margin intelligence
As many as 34%
of marketers don't exclude unprofitable products from campaigns
See and achieve more with our custom ®Master data model
We have condensed more than 10 years of know-how in the area of working with product data on advertising accounts for e-commerce.
At the start, you get access to our custom data model with more than 60 columns for each product. The model is based on the most important advertising, analytical systems from the point of view of segmenting products and investing in the most strategically profitable ones.
Key benefits of Data Octopus
Low-code integrations
We have prepared and are continuously developing key inbound and outbound integrations for you. Thanks to our Google Cloud-based architecture, we natively integrate with Google products such as Analytics 4, Google Ads, Merchant Center, Looker and others. We have taken care of key input integrations like Google Sheets, XML, CSV, e-commerce engines and PIM software. Do you need dedicated integration? We will prepare it for you.
Google Cloud-based architecture and native connection to Google BigQuery
By relying on Google Cloud, you have the guarantee of virtually unlimited cloud computing and system stability. This makes Data Octopus most effective for extensive e-commerce sites that require real-time processing of large amounts of data.
Product fields library
A place from which you can select a new field with product data that you want to add to your model. For example, you can use the predefined ®Revenue rank field, which will segment all your products by how much revenue they generate. Another use is to segment by ®Profit rank, which takes into account advertising costs and product margin. You don't have to have a lot of experience and knowledge by using the network effect.
Machine learning (ML) supported by Vertex AI
With Vertex AI, you get a powerful solution at your fingertips. In addition, Model garden includes predefined models that, fed with the right data, can prepare for you an estimate of sales of a product, brand, category or entire store in the future, and this is just one of their many uses. Data Octopus customers have better prepared data at the input as a result, and can gain a competitive advantage faster.
Ready-made analytics dashboard templates for e-commerce
E-commerce teams suffer from an overabundance of data that they can't process and use in practice. Data Octopus will help tame the data. From now on, you won't have to log into Google Analytics, your warehouse system, your e-commerce engine or jump through Excel files to have key information about your products in one place.
Relational data model
Standard tools for working with product data have a flat structure. We focused on relationality of data models so you can easily map, process and version them even when they come from multiple sources and are in different formats. This will be especially appreciated by advanced users who are tired of the limitations of their existing systems.
Online and offline sales teams finally speak one language - the language of data
Data Octopus allows you to combine information about a specific product's sales in both online and offline channels. This does not solve all the problems of omnichannel sales, but it will make it easier to make decisions in the stationary shop network based on data from e-commerce sales and vice versa.
Dedicated onboarding accelerating the “AHA!” moment
All this sounds complicated and you're worried that you don't have enough resources in your e-commerce? Don't worry. Data Octopus was created precisely to reduce your needs in the area of IT resources and Digital analyst. Our implementation team will help you set up the system by creating a strategy, product performance audit, first data plugging, segmentation and launching reports.
FAQ
Frequently Asked Questions
As a Product Data Management platform, we address the use of product data to improve e-commerce sales.
Our clients typically use Data Octopus for purposes such as:
- Focusing budgets on the most profitable products.
- Diversifying sales by increasing the % of offerings that participate in them
- Increasing or decreasing the share of specific brands, categories or other product segments in sales.
- Segmenting products based on margin and using its context to increase sales profitability.
- Securing key product data in BigQuery and preparing it to meet AI.
Our clients typically use Data Octopus for purposes such as:
- Focusing budgets on the most profitable products.
- Diversifying sales by increasing the % of offerings that participate in them
- Increasing or decreasing the share of specific brands, categories or other product segments in sales.
- Segmenting products based on margin and using its context to increase sales profitability.
- Securing key product data in BigQuery and preparing it to meet AI.
-Advertising systems are getting smarter and more automatic, but they need good data, which they must receive in the form of feeds, to work effectively. No super car will go fast without super fuel. No AI will work well without a good prompt.
- Product data should come from more sources like a warehouse system or e-commerce engine and only 15% of marketers use more than 1 source of product data to make feeds.
- In the end, for e-commerce, it's all about profit. Only 2.5% of marketers segmenting products on offer use margin context to optimize sales not only under COS/ROAS but also profit precisely.
- More and more data and the sources generating it will force a modern cloud-based data storage architecture. Already 78% of companies in the US have implemented cloud solutions in their organizations. In PL it is so far, still 38% of companies.
- The limitations of 3rd party data resulting, among other things, from the growing importance of data privacy, cookie restrictions and the increasing importance of 1st party data in personalization, targeting and optimization of advertising, force the construction of a product data repository.
- Product data should come from more sources like a warehouse system or e-commerce engine and only 15% of marketers use more than 1 source of product data to make feeds.
- In the end, for e-commerce, it's all about profit. Only 2.5% of marketers segmenting products on offer use margin context to optimize sales not only under COS/ROAS but also profit precisely.
- More and more data and the sources generating it will force a modern cloud-based data storage architecture. Already 78% of companies in the US have implemented cloud solutions in their organizations. In PL it is so far, still 38% of companies.
- The limitations of 3rd party data resulting, among other things, from the growing importance of data privacy, cookie restrictions and the increasing importance of 1st party data in personalization, targeting and optimization of advertising, force the construction of a product data repository.
Value increases with the scale of several factors:
- SKU
- revenues
- advertising spending
- breadth of sales (number of advertising channels, markets)
- the number of systems that retrieve product information
- the importance of Google BigQuery in the e-commerce data ecosystem
This makes Data Octopus the most valuable for the mid- to high-end e-commerce segment.
- SKU
- revenues
- advertising spending
- breadth of sales (number of advertising channels, markets)
- the number of systems that retrieve product information
- the importance of Google BigQuery in the e-commerce data ecosystem
This makes Data Octopus the most valuable for the mid- to high-end e-commerce segment.
Every e-commerce business has a so-called product file. This is information usually in XML or CSV format about its offerings. The depth of information that the basic product file contains depends not only on your store's offerings, but also on which e-commerce engine you use. On the other hand, each advertising system or marketplace like Google Ads, Meta Ads, Ceneo, Allegro and others has its own standard of both required and optional data. The effectiveness of your advertising campaigns depends on how deeply you optimize your product file for the requirements of a particular advertising channel.
If you haven't yet looked for a performance field for your e-commerce sales in Feed marketing effect, we have two pieces of information. The first is that you definitely have a performance field here, and surely Data Octopus will allow you to make the most of it. The second is that you're probably losing money every day and it's worth changing that. Data Octopus is particularly effective when selling a large offering in multiple markets through multiple advertising channels. Where popular applications begin to end is where DataFeed Octopus gets started, for which the more data and the greater the dynamics of its processing, the greater the value for you.
If you haven't yet looked for a performance field for your e-commerce sales in Feed marketing effect, we have two pieces of information. The first is that you definitely have a performance field here, and surely Data Octopus will allow you to make the most of it. The second is that you're probably losing money every day and it's worth changing that. Data Octopus is particularly effective when selling a large offering in multiple markets through multiple advertising channels. Where popular applications begin to end is where DataFeed Octopus gets started, for which the more data and the greater the dynamics of its processing, the greater the value for you.
Data Warehouse is, in a nutshell, a single, central and trusted source of truth about your e-commerce business, starting with a single product and ending with an entire store. It's a place where you can collect, collate, analyze data from multiple sources and in multiple formats. You need flexible technology, multiple data connectors, stability and high computing power for this to be effective. The game changer is to use artificial intelligence in the form of Vertex AI to analyze the data.
An additional challenge is maintaining integration and data hygiene. Having worked with e-commerce type businesses for many years, we have noticed that some data is stored in Google sheets, some in the ERP system, warehouse system, store engine, Google Analytics or Google Ads. The challenge is to link this data within a single product, and thus make practical use of it, which gives real support in business analysis and planning.
An additional challenge is maintaining integration and data hygiene. Having worked with e-commerce type businesses for many years, we have noticed that some data is stored in Google sheets, some in the ERP system, warehouse system, store engine, Google Analytics or Google Ads. The challenge is to link this data within a single product, and thus make practical use of it, which gives real support in business analysis and planning.
It depends :) The implementation time depends on the scale of your store and your business needs, which we map already during the first DEMO call. It is during this meeting that we will show you the system and collect the initial information from you needed to design the implementation map to maximally support your business goals.
The start of optimisation of product files for popular advertising channels is available almost immediately.. Designing and launching Data Warehouse - especially if you find that you require customized integrations - will take from a few days to a few weeks. On the technology side, we have done everything to make it as smooth and easy as possible.
The start of optimisation of product files for popular advertising channels is available almost immediately.. Designing and launching Data Warehouse - especially if you find that you require customized integrations - will take from a few days to a few weeks. On the technology side, we have done everything to make it as smooth and easy as possible.
The final price of a subscription plan depends on the scale of the online store, which is influenced by SKUs, the number of input sources, the number of output channels, the number of markets, etc. The lowest subscription plan starts at $500 per month.
