tl;dr
What it is: The Benchmarking Report allows you to compare your store's operational, financial, and marketing performance against an aggregated peer group defined by Industry and Revenue Size.
Opt-In Status: All accounts are opted-in by default. To participate, you must share your anonymized data.
Opt-Out: Account Owners can opt-out at any time. Important: Opting out will remove your access to the report and remove your data from the aggregate pool.
1. How the Benchmarking Report Works
The Benchmarking Report aggregates anonymized data from the Klar ecosystem to provide context for your performance. Instead of only comparing your results to your own historical data, you can see how you stack up against stores of similar size and vertical.
1.1 Peer Group Segmentation
To ensure comparisons are relevant, data is segmented by using one of the below two filters:
1. Industry
You can filter benchmarks by your specific vertical:
Your Industry within Klar
All (Composite of all verticals)
2. Revenue Size
Or as a direct comparisons are based on revenue size:
< €1M
€1M – €5M
€5M – €20M
€20M+
All (Composite of all brackets)
1.2 Data Privacy & Aggregation
Anonymity: All data is strictly anonymized. You will never see the names of other brands, and they will never see yours.
Minimum Thresholds: To protect privacy, a benchmark for a specific segment is only generated if there is a minimum number of unique brands in that bucket. If the dataset is too small, the results are suppressed (hidden) to prevent any possibility of identifying a competitor.
1.3 Role-Based Permissions (RBAC)
The report respects your existing User Role permissions. If a user's role restricts them from viewing "Profitability" or "Marketing Costs" in the Daily Overview, those metrics will also be hidden from them in the Benchmarking Report
2. Managing Access (Opt-In / Opt-Out)
We operate on a "give-to-get" model: to view community insights, you must contribute to the community average.
By default, your account is Opted-In. You do not need to take any action to start using the feature.
2.1 How to Opt-Out
If you do not wish to participate, the Account Owner can opt-out via the Account Settings.
Navigate to Settings > Account.
Locate the Benchmarking section.
Select “Disable Report”.
What happens when you Opt Out:
Your data is removed from the aggregations.
Everyone in your account will lose access to the Benchmarking Report.
2.2 Opting Back In:
Should you wish to Opt Back In, all the Account Owner will need to enable it in the Account Settings.
Navigate to Settings > Account.
Locate the Benchmarking section.
Select “Enable Report”.
What happens when you Opt Back In:
Your data is added back to the aggregations.
You and everyone in your account will be able access the Benchmarking Report.
3. Understanding the Dashboard
The dashboard consists of two main visualization areas: the Distribution Graph and the Comparison Table.
3.1 Global Filters
Use the controls at the top of the page to define your comparison context:
Timeframe: (e.g., Last Month, Year-to-Date).
Industry: Select a vertical you want to compare against.
Revenue Bucket: Select a specific revenue scale (e.g., "€5M – €20M") or "All".
3.2 The Distribution Graph (Bell Curve)
This visual shows the density of brands at different performance levels.
The Curve: Represents the market spread.
Your Marker: Shows exactly where your store sits on that curve (e.g., are you in the "pack" or an outlier?).
3.3 How are these metrics calculated
There are currently two sections to the Benchmarking Report (the Performance and Marketing sections) and below we outline how each metric is calculated for the report.
Performance Tab
Metric | Calculation |
Revenue Growth % | Coming Soon |
Price Reduction % | Total value of price reductions divided by total GMV |
Return % | Total value of refunds divided by total gross revenue |
New Customer % | Total net revenue from new customers divided by total net revenue |
Marketing as % of Revenue | Total marketing spend divided by total net revenue |
CAC | Total marketing spend divided by the total number of new customers |
MER | Total net revenue divided by total marketing spend |
aMER | Total new customer net revenue divided total marketing spend |
MPR | Total CM2 divided by total marketing spend |
aMPR | Total new customer CM2 divided by total marketing spend |
Gross AOV | Total gross revenue divided by the number of gross orders |
COGS % | Total COGS divided by total net revenue from items with non-zero COGS |
Logistics Costs % | Total logistics costs divided by total net revenue |
Transaction Costs % | Total transaction costs divided by total net revenue |
CM1% | CM1 divided by net revenue |
CM2% | CM2 divided by net revenue |
CM3% | CM3 divided by net revenue |
Marketing Tab
Metric | Calculation |
Spend Growth % | Coming Soon |
% of Total Marketing Spend | Spend for this source divided by total marketing spend |
CPM | Marketing spend for the given source divided by impressions / 1000 |
CTR | Clicks divided by impressions |
CPC | Marketing spend divided by clicks |
ROAS | Total conversion value divided by total marketing spend of the given marketing source |
4. FAQ
Why do I see empty rows or "Coming Soon"?
Some metrics, like Revenue Growth Rate, are visible but not yet active. If other rows are empty, it means there is insufficient data in that specific Industry/Revenue bucket to generate an anonymous benchmark.
Can I see who the other brands are?
No. The report is strictly anonymous. You will only ever see aggregate statistical data (percentiles), never individual brand data.
For further support, please contact the Klar Customer Success team via the in-app chat.