The Market Explorer Dashboard is a versatile tool for market data exploration. It enables you to slice market data by dimensions and to select benchmarks for covering your use cases.
In short, you can create your own market data dashboards for your specific use case.
Key Features:
- Flexible Data Slicing: Choose up to two dimensions from 10 available dimensions
- Comprehensive Benchmarking: Select from 21 available benchmarks
- Time-Machine: Go back in time up to 30 days
- Many more features: Visualizing the benchmark distribution, Comprehensive filtering, Downloading complete tables, Insightful benchmarks like price ratio and price stability score etc.
Slices
Slices are groups resulting from dividing the market data by dimensions.
- You can slice by market data: Shop name or Domain
- You can slice by products: Brand, Top/Mid/Low Category, SKU, EAN, Product ID and
Product Name
Note - In order to slice properly by products, it’s essential that all relevant fields are mapped in the product import.
Benchmarks
Benchmarks are calculated per slice of market data.
|
Benchmark |
Description |
|
Average / Cheapest / Highest Unit Price |
AVG/MIN/MAX of all offer unit prices |
|
Average / Cheapest / Highest Total Price |
AVG/MIN/MAX of all offer unit prices plus the corresponding delivery costs |
|
Offers Count |
Number of offers |
|
Offers Count below Selling Price |
Number of offers which are cheaper than the Selling Price Useful for e.g. revealing price aggressive shops or competitive categories. |
|
Products Count |
Number of unique products Useful e.g. serving as a proxy of the overlap rate. |
|
Shops Count |
Number of unique shops Useful for e.g. checking the competitiveness of a slice. |
|
Domains Count |
Number of unique data sources Useful for e.g. exploring the market penetration and coverage. |
|
Price Ratio % |
This benchmark offers a relative comparison of the selling price to market prices. A negative price ratio indicates that your selling prices are, on average, cheaper compared to other offer unit prices in the market. Note: Unlike other pages, the price ratio here is calculated at the individual offer level before averaging. This method ensures full flexibility with the filters applied in the dashboard. Formula: AVG (selling price ⁄ offer unit price) × 100 − 100 |
|
RRP Ratio % |
This benchmark uses the same calculation as the "Price Ratio %", but with the Recommended Retail Price (RRP) as the reference point instead of the selling price. Formula: AVG (RRP ⁄ offer unit price) × 100 − 100 |
|
Purchase Price Ratio % |
This benchmark uses the same calculation as the "Price Ratio %", but with the purchase price as the reference point instead of the selling price. Formula: AVG (purchase price ⁄ offer unit price) × 100 − 100 |
|
Average Difference RRP/Selling/Purchase Price vs Unit Price |
This benchmark measures the absolute difference between a reference price (such as RRP, selling price, or purchase price) and the corresponding offer unit price. Formula: AVG (reference price ⁄ offer unit price) |
|
Average Unit Price Position per Domain |
This benchmark calculates the average position of an offer within each domain, ranked from 1 to n, based on the ascending order of offer unit prices. It serves to highlight an offer's visibility on domains and provides insights into how competitively an offer is priced relative to others. Note: The rankings include all offers, even those considered invalid (blacklisted). |
|
Average Total Price Position per Domain |
This benchmark calculates the position of an offer within each domain, ranked from 1 to n, based on the ascending total of the offer unit price plus delivery costs. It serves to highlight an offer's visibility on domains and provides insights into how competitively an offer is priced relative to others. Note: The rankings include all offers, even those considered invalid (blacklisted). |
|
Price Stability Score |
Advanced benchmark The Price Stability Score quantifies the deviation of offer prices from the selling price, providing a score between 0 and 100:
Advantages: The Price Stability Score measures the magnitude of price deviations, ignoring direction. Unlike price ratio, which might mask price fluctuations (e.g., a price ratio showing 0% could result from a -100% deviation for Product A and +100% for Product B), the Price Stability Score detects these instabilities, Because the scoring is consistently between 0 and 100, it allows for easier and more effective comparison. Use Cases: Useful for e.g. Ideal for brands to monitor how strictly prices are enforced within categories and for shops to assess how closely their prices align with competitors |
|
Price Ratio Variance |
Advanced benchmark This benchmark measures the consistency of the offer prices compared to the selling price. A higher variance indicates greater inconsistency (less uniformity) in offer prices compared to the selling price. Use Cases: It can be used to e.g. measure market pricing consistency and price integrity. Also it can be used to detect if a shop is offering promotional prices. |
Example Use Cases
|
1st Slice By |
2nd Slice By |
Benchmark By |
Use Case |
|
Shop name |
Brand |
Price Ratio % |
Compare your own prices against those of your main competitors per brand - easily identify competitors with aggressive pricing strategies who might have better deals with their suppliers. |
|
Top Category |
Domain |
Price Stability Score |
Easily get an overview of the deviation of market prices per data source per top-category in comparison to your own selling price - understand how closely your own prices align with those of your competitors |
|
Product name |
Domain |
Price Ratio Variance |
Do you want to understand how products of your brand are sold on different market-places - use Omnia’s price ratio variance to easily identify products with high price inconsistencies |
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and many more!! |
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FAQ
Which market data is considered?
The latest offers per product & domain of the selected day are considered. Also only offers of currently imported products are shown.
What about products which don’t have offers, can those be shown?
No. It’s a market data centric dashboard: It won’t show products without market data.
The benchmark distribution sometimes looks cut off, right?
Yes, this happens in certain scenarios when there are more than 5,000 slices. Due to technical reasons the chart is capped at 5,000 data points (sorted descending by benchmark). So it can be more seen as a “preview”.
How can I view the Market Explorer dashboard for a specific competitor?
To view the dashboard for a specific competitor, use the “Shop name” filter located at the top of the dashboard. Select all the shop names associated with that competitor to display their relevant data.
How can I view the Market Explorer dashboard for my own offers?
To see the dashboard for your own offers, use the “Shop name” filter at the top of the dashboard. Select all shop names associated with your online shop(s). For example, choose “1st Slice By EAN” and select the benchmark “Average Unit Price per Domain” to view your market positioning for each product.
I want to see more data than the Top n entries in the tables!
You can download the complete tables as e.g. Excel or CSV file via the three dots menu to the top right of the table.
What’s being affected by the time-machine and what’s not?
Affected by Time-Machine
- Market Data: Access historical market data for any selected day within the past 30 days.
- Selling Price
- If the selected day is today, the current selling price is used.
- If the selected day is in the past, the lowest selling price of that day is used.
Not affected by Time-Machine
Product-Related Slices and Filters: Elements such as categories, SKUs, and other product-related attributes remain based on the current product imports.
Benchmarks involving RRP or Purchase Price: These benchmarks use the latest imported product data, regardless of the selected day.