MARKETING
Marketing Costs and Performance in One Place
1,990 CZK
- 3 marketing reports
- marketing costs in one place
- performance overview across platforms
- campaign performance over time
- basic performance metrics
- unified marketing dashboard
- connection to standard marketing sources: Google, Meta, Sklik, Heureka, Microsoft
Free for standard marketing sources
CORE
Managing Real E-commerce Profitability
4 990 CZK
9 990 CZK
Includes everything from MARKETING, plus:
- Integration with client systems, such as ERP, PIM, or e-shop
- 6 sales reports
- Additional reports for tracking products and customers
- Actual orders and items sold
- Actual margin and gross profit
- Returns and cancellations
- Profit after marketing
- Profitability of products, categories, and brands
- PNO based on actual orders
- Upcoming export for marketing management
- 1 hour of data analyst or programmer time per month included
We will provide a precise implementation quote following an initial analysis of your systems, data, and business rules.
20,000–30,000 CZK
30,000–50,000 CZK
* For smaller e-shops up to 10,000 orders per year, 5,000 products, and 2 countries.
FULL
Profitability down to the level of marketing campaigns
17 990 Kč
Includes everything from CORE, plus:
- implementing tracking scripts on the e-shop
- attributing orders to marketing sources
- revenue by campaign
- profit by campaign
- tracking the customer journey from a marketing perspective
- more detailed insights for the marketing team or agency
From 50,000 CZK
Not sure which tier you need?
During the initial consultation, we will review your systems, available data, and goals. We will recommend the lowest ProfitEcom tier that makes business sense for you.
What you get in every plan
Not just dashboards, but also a unified methodology and transparent data processing.
- application access for an unlimited number of users
- consistent methodology for economic calculations
- daily data updates
- secure data processing and storage
- processing historical data based on source system availability
Implementation and Data Preparation
The implementation cost depends on the data source, its quality, and the complexity of the transformation rules required.
If your data is already prepared in a standardized structure, the integration can be faster and more cost-effective. However, if the data originates from multiple systems, has varying structures, or requires custom transformation logic, we will assess and price the scope based on your specific situation.
For CORE and FULL implementations, the price includes an analysis of client systems and business rules. The transformation layer into the economic model is always customized for each client.
What Each Tier Includes
MARKETING unifies marketing performance. CORE adds real order economics. FULL completes customer journey measurement and advertising campaign profitability.
| Features / Data | Marketing | Core | FullComing Soon |
|---|---|---|---|
| Recommended For | Marketing Overview | E-commerce Profitability Management | Campaign-level Profit Marketing |
| Key Benefits | View marketing costs and performance in one place | You can see where your e-shop truly makes money | You can see which campaigns generate real profit |
| Marketing costs across platforms |  | | |
| Google Ads, Meta, Sklik, Heureka, Microsoft | | | |
| Unified marketing dashboard | | | |
| Marketing evolution over time | | | |
| Basic campaign performance metrics | | | |
| Campaign groups and custom marketing segmentation | | | |
| Unlimited number of users | | | |
| Daily data updates | | | |
| Unified calculation methodology | | | |
| Secure data processing | | | |
| Historical data based on source availability | | | |
| Integration with e-shop / ERP / PIM |  | | |
| Actual orders | | | |
| Items and units sold | | | |
| Revenue by orders | | | |
| Order cancellations | | | |
| Returns and refunded items | | | |
| Product purchase prices | | | |
| Actual margin | | | |
| Gross profit | | | |
| Costs per order | | | |
| Profit before marketing | | | |
| Profit after marketing | | | |
| ACOS based on actual orders | | | |
| Product profitability | | | |
| Category Profitability | | | |
| Brand Profitability | | | |
| Customer Overview | | | |
| Warehouse / Inventory Overview | | | |
| Exports for marketing management | | Coming soon | Coming soon |
| Implementing tracking scripts on e-shop | | | |
| Attributing orders to traffic sources | | | |
| Revenue by marketing campaigns | | | |
| Profit by marketing campaigns | | | |
| Customer journey tracking | | | |
| Detailed materials for agencies | | | |
| 1 hour of an analyst or programmer per month | | | |
Revenue isn't enough. Profit is what matters.
Most e-shops track revenue, PNO (Profit/Net Operating Income), and campaign performance. However, without considering margins, returns, cancellations, and order costs, you can't see which parts of your e-shop are truly profitable.
ProfitEcom connects marketing, order, and financial data into a single view. This allows you to understand where it makes sense to allocate your budget — and where you're just buying revenue without profit.
When does ProfitEcom pay off?
A small improvement in the right place is all it takes.
In our implementations, it repeatedly becomes clear that a portion of the marketing budget often goes into campaigns, products, or channels that look good in terms of revenue but, after accounting for margins, returns, and costs, do not generate adequate profit.
If an e-shop can, thanks to better data, reallocate or save just 5–10% of its marketing budget without negatively impacting business results, this can mean significantly more than the cost of ProfitEcom itself.
Smaller e-shop
- For an e-shop with revenue of CZK 1.5 million per month results in an improvement in actual results of 1% of revenue benefit CZK 15,000 per month.
Medium-sized e-shop
- For an e-shop with revenue of CZK 3 million per month results in the same improvement of 1% of revenue benefit CZK 30,000 per month.
ProfitEcom is therefore not just a reporting expense. It's a tool that helps uncover money hidden in your data.
