Pricing 💸
Standard Plan
We use the Google cloud to store and process data. GCP – Google Cloud Platform is a very secure solution that meets the highest security standards. Data in the cloud is encrypted and access to it is fully controlled. The Google cloud is also monitored 24/7 to detect and prevent security incidents. This allows us to provide our customers with the highest level of security and data availability.
At this price we integrate data with:
- Store API
- Google Analytics
- Google Ads
- Facebook Ads
- Criteo
- Tradetracker
Individual Plan
With the individual plan, you not only get secure data storage in the Google cloud, but also the ability to individually configure integration with any systems with API. Full GDPR compliance, data encryption, and continuous monitoring. Our solution is extremely flexible and allows for the creation of advanced analyses and reports. We will adapt to your needs and provide you with full control over your e-commerce data from multiple data sources.
At this price we integrate data from:
- All listed in the Standard Plan
- Any e-commerce with data API
- Any marketplace with data API
- Advertising sources with data API
- Attribution sources with data API
- Affiliate sources with data API
We define a market as a separate store / domain / subdomain / other language version of the store.
The cost of integrating the second and each subsequent market is only PLN 499.
Frequently asked questions
Here you will find answers regarding DataOrganizer data from WooCommerce, Idosell and Magento 2. If you have any questions, our support team is ready to help.
The graph shows Net Revenue for the last 30 days. Net revenue per day from the store system(s) (from selected markets) whose data is connected to Datadiary. Net revenue only applies to orders with the status fulfilled and in progress for the given period.
The graph does not show statistical data from Google Analytics, but full revenue data from the store system(s).
The graph shows all Media Costs from the last 30 days. It shows the total costs for media expenses including advertising and affiliate commissions from all connected data sources, i.e. Google Ads, Meta Ads etc. to Datadiary per day.
The table presents data from the last periods: yesterday, last 7 days, last 30 days and the current month. For each of these periods, a comparison to the previous period is available, with information on whether the current period is better or worse than the previous one, along with a visual indicator of the difference.
In the table, you will find KPIs such as:
- Net revenue – Information on revenue without VAT, only for orders completed and in progress.
- Media costs – Total media costs from connected advertising and affiliation systems.
- Media cost share – Ratio of media costs to net revenue. A lower indicator means a higher margin and profitability of the company.
- Number of orders – Orders fulfilled and in progress according to data from the store system.
- Discount granted – The sum of the discount, as the difference between the regular price and the actual selling price of the products.
Google Analytics needs time to process the data, so full information is only available after 72 hours. Data from the last three days may be incomplete. The table includes data from periods such as yesterday, last 7 days, last 30 days and the current month. You can compare it with previous periods, and the differences are highlighted in color. You will find key metrics such as the number of users (new and returning), sessions, interactions with products (e.g. adding to cart, views) and the number of purchases. All data is collected in accordance with GDPR regulations and may be subject to user consent for cookies.
The chart shows net revenue and media costs for the selected period for specific markets.
– Net revenue per day from the store system(s) whose data is connected to Datadiary. Net revenue only applies to orders with the status fulfilled and in progress for the given period.
– Media costs is the sum of costs for media expenses including advertising and affiliate commissions from all data sources connected, i.e. Google Ads, Meta Ads, etc. to Datadiary per day.
The chart does not show statistical data from Google Analytics, but full revenue data from the store system(s).
The graph shows net revenue from the last 4 days and the revenue prediction calculated from the last four days and the revenue prediction for the next 4 days.
– Net revenue per day from the store system(s) whose data is connected to Datadiary. Net revenue applies only to orders with the status fulfilled and in progress for the given period.
– Revenue prediction is the estimated net revenue calculated based on Datadiary’s predictive models based on collected and processed data in the research and analytical methodology.
The pie chart displays all Media Costs broken down by source in percentage and dollar terms when you hover over the chart for the selected time period.
Delivery type – Information whether the delivery was free or paid for by the customer.
Number of orders – Number of orders completed and in progress from the store system.
Percentage share – Percentage share of a given delivery method in all orders in a given period.
Fee cost – Total costs incurred by customers for a given type of delivery.
Revenue – Revenue excluding VAT from completed and in progress orders.
Media cost – Total costs from connected advertising and affiliation systems.
Number of orders – Total number of orders completed and are being completed in the store system.
GAds cost – Total costs incurred for Google Ads ads.
Meta Ads cost – Total costs incurred for Meta Ads ads.
Tradetracker cost – Total commissions for accepted and completed orders acquired through ads from Tradetracker.
Criteo cost – Total commissions for accepted and completed orders acquired through ads from Criteo.
COS – Cost of sales indicator, calculated as the sum of media costs divided by net revenues from completed and in progress orders.
Number of orders – The number of orders completed and in progress in the store system.
Net revenue – Revenues without VAT, concerning only completed and in progress orders. If the data also comes from platforms such as Baselinker, Amazon, or Allegro, the comparison with Google Analytics data may be imprecise.
Number of GA purchases – The number of orders registered in Google Analytics, regardless of their status, in accordance with GDPR and cookie consent.
GA revenue – The gross sum of orders from Google Analytics, including delivery costs, but not reflecting the exact sum of orders in the store system.
Cost – The sum of costs from connected advertising and affiliation systems. COS – Cost of Sales Index for paid sources, calculated as the sum of media costs divided by net revenue from paid sources.
UTM – Adding
utm_source, utm_medium, utm_campaign parameters to store links.Google Ads Auto Tagging – A feature that automatically adds UTM parameters to ad URLs, allowing campaign tracking in Google Analytics.
Referrals – When a user comes from another page without UTM, the source is the address of that page, and the medium is the “referral”.
Source – Tells what advertising source or page the user came from to the store. Uses the
utm_source parameter.Medium – Tells what advertising medium the user came from to the store. Uses the
utm_medium parameter.Campaign – Informs about the advertising campaign from which the user came to the store. Uses the
utm_campaign parameter.Number of orders – Number of orders completed and in progress in the store system.
Net revenue – Revenues excluding VAT from the store system, regarding completed and in progress orders. Comparison with Google Analytics data may be imprecise if the store platform also collects data from other sources such as Baselinker, Amazon, or Allegro.
Number of GA purchases – Number of orders registered in Google Analytics, regardless of their status, in accordance with GDPR and cookie consent.
GA revenue – Gross sum of orders from Google Analytics, including shipping costs, but not reflecting the actual sum of orders in the store system.
Source, Medium, Campaign – Data can be passed to Google Analytics in three ways:UTM – Adding
utm_source, utm_medium, utm_campaign parameters to store links.Google Ads Auto Tagging – Automatically adding UTM parameters to ad URLs.
Referral – Referrer pages that provide the source and medium.
Market – Information about the store or market the product comes from.
Product – Unique product name with variant, assigned to the identifier.
Source – A parameter that specifies where the user’s traffic comes from, e.g. utm_source.
Medium – A parameter that specifies the advertising medium, e.g. utm_medium.
Campaign – A parameter that describes the advertising campaign, e.g. utm_campaign.
Products Viewed – The number of times a product was viewed on different store pages, from Google Analytics.
Products Added to Cart – The number of times a product was added to the cart from Google Analytics.
Products Purchased – The number of times a product was purchased from Google Analytics.
GA Product Revenue – The gross sum of orders excluding shipping costs from Google Analytics, which does not reflect the exact data from the store.
Data source in Google Analytics can be passed in three ways:Via UTM – Adding
utm_source, utm_medium, utm_campaign parameters to store links.Google Ads auto tagging – Adds UTM parameters to Google Ads URLs.
Referral – For non-UTM links, the source is the site address and the medium is “referral”.
Source – Set by utm_source, e.g. “google”.
Medium – Defined by utm_medium.
Campaign – Defined by utm_campaign.
Product Views – Number of times a product was viewed on a product card from Google Analytics.
Added to Cart – Number of times a product was added to a cart from Google Analytics.
E-commerce Purchases – Number of purchases recorded in Google Analytics.
GA Purchase Revenue – Total gross order value including shipping from Google Analytics, not reflecting exact order totals from the store.
Data source in Google Analytics can be passed in three ways:UTM parameters – Adding
utm_source, utm_medium, utm_campaign parameters to store links.Google Ads auto tagging – Adds UTM parameters to Google Ads URLs, where the medium parameter is “cpc” and the campaign parameter is determined based on the Google Ads campaign name.
Referral – When a user enters the store from another site without UTM, the source is the site address and the medium is “referral”.
Source – Informs what source the user came to the store from, e.g. utm_source = “google”.
Medium – Specifies the medium from which the user came, using utm_medium.
Campaign – Specifies the campaign from which the traffic came, using utm_campaign.
Conversions – Number of conversions in Google Analytics, it is recommended to mark a purchase as a conversion.
GA Revenue – Total order value recorded in Google Analytics, regardless of order status.
Market – Indicates which store or market the product comes from.
ID – Unique product identifier in the store system.
Product name – Unique product name, including variants, assigned to the identifier.
Net revenue – Information on revenue without VAT, applies to orders completed and in progress.
Number of orders – Number of orders completed and in progress in the store system.
Number of ordered items – Number of ordered items in completed and in progress orders.
Average discount percentage – Percentage difference between the regular price and the purchase price in orders completed and in progress.
Market – Indicates which store or market the product comes from.
ID – Unique product identifier in the store system.
Product name – Unique product name and its variants, assigned to the identifier.
Average discount percentage – Percentage difference between the regular price and the purchase price without additional discounts.
Number of products viewed – Number of “view_item” events from Google Analytics, recorded when the user views the product page.
Number of orders – Number of orders fulfilled and in progress in the store system.
Number of ordered items – Number of ordered items of a given product in orders fulfilled and in progress.
Revenue – Revenue excluding VAT, relating only to orders completed and in progress.
Market – Information about the store or market from which the product comes.
ID – The unique identifier of the product in the store system.
Product name – The unique name of the product, along with its variants, assigned to the identifier.
Net revenue – Revenue excluding VAT, relating only to orders fulfilled and in progress.
Number of products viewed – The number of “view_item” events from Google Analytics, recorded when interacting with the product.
Number of adds to cart – The number of “add_to_cart” events from Google Analytics, recorded when users add a product to the cart.
Add to cart rate – A metric calculated by dividing the number of times a product is added to a cart by the number of times it is viewed.
Market – Information about the store or market from which the product comes.
ID – A unique product identifier in the store system.
Product name – The name of the product along with its variants, assigned to the identifier.
Price – The current price of the product, as displayed on the product card.
Revenue from the day – Daily revenue from the store system excluding VAT, only for products from orders fulfilled and in progress.
Market – Information about the store or market from which the product comes.
ID – Unique product identifier in the store system.
Product name – Name of the product along with its variants, assigned to the identifier.
Daily date – Price of the product on a given day, as displayed on the product card.
Number of orders – All orders fulfilled and in progress in the store system.
Number of orders with discounts – Discounted orders fulfilled and in progress.
Total percentage discount – Percentage difference between the regular price and the purchase price with additional discounts.
Number of orders with coupons – Orders in which discount coupons were used, fulfilled and in progress.
Percentage discount coupons – Percentage difference between the regular price and the purchase price for purchases using a coupon.
Average discount in the feed – Percentage difference between the regular price in the feed and the purchase price of the product without additional discounts.
The chart shows Net Revenue only from orders with a discount granted. Net revenue only applies to orders with the status fulfilled and in progress for a given period from the store system.
The chart presents the percentage difference between the regular price of products in the store’s assortment and the price at which the product can be purchased in the store on given days of the period.
Orders Per Day Chart – Presents the number of orders per day for the selected period, divided by customer type.
Store Data – Number of orders from the store systems (from selected markets), applies only to orders completed and in progress.
Customer – Defined by a unique phone number or email address (if no phone) provided during the order.
New Customer – First purchase made to a unique number or email, or a purchase after a break of more than a year since the previous purchase.
Returning Customer – A customer who places another order to the same number or email, if the break between orders does not exceed 365 days.
Second Purchase – Second order placed by the same customer within 365 days.
Chart does not present data from Google Analytics, only full revenue data from the store systems.
Store Data – Net revenue from store systems (from selected markets), applies only to orders completed and in progress.
Customer – Specified by a unique phone number or email address provided during the order.
New Customer – First purchase to a unique number or email, or purchase after a break of more than a year.
Returning Customer – A customer who places another order to the same number or email, if the break between orders does not exceed 365 days.
Second Purchase – Second order placed by the same customer within 365 days.
Note: The chart does not use Google Analytics data, only full revenue data from store systems.
Number of customers – Number of unique phone numbers or email addresses provided during the order.
Net revenue – Revenues excluding VAT from the store system, regarding orders completed and in progress.
Average revenue from the day – Average revenues excluding VAT for a given day of the week, regarding orders completed and in progress. When selecting a period longer than a week, the data is averaged.
Average net basket – Average revenue excluding VAT per order, regarding orders completed and in progress.
Number of orders – Number of orders completed and in progress from the store system. Average number of orders – The average number of orders completed and in progress from the store system, given for the last 7 days. The number changes and is averaged when a longer period is selected.
ID – Unique product identifier in the store system.
Product name – Unique product name and its variants, assigned to the identifier.
Total product revenue – Revenue excluding VAT for the product on a given day, concerning only completed and in-process orders.
Number of orders – Number of completed and in-process orders from the store system.
Number of ordered items – Number of items of a given product ordered in completed and in-process orders.
ID – Unique product identifier in the store system.
Product name – Product name with its variants, assigned to the identifier.
Total product revenue – Revenue excluding VAT from second purchases for the product on a given day, regarding orders completed and in progress.
Number of orders – Number of second orders per user, completed and in progress.
Number of ordered items – Number of product items ordered from second orders, completed and in progress.
Payment method – Types of payment methods available in the store, according to data from the store system.
Number of orders – Number of orders completed and in progress from the store system.
Delivery method – Types of delivery methods available in the store, according to data from the store system.
Delivery type – Information whether the delivery was free or paid for by the customer.
Number of orders – Number of orders completed and in progress from the store system.
Percentage share – Percentage share of a given delivery method in all orders in a given period.
Fee cost – Total costs incurred by customers for a given type of delivery.
Revenue – Revenue excluding VAT from completed and in progress orders.