Sample report. Made by Provetale's real pipeline on October 6, 2026 from online-shop-orders.csv. Synthetic data generated by Provetale for this sample (a fixed random seed, so it can be rebuilt exactly). It describes no real shop.
Sales and orders
Revenue, units, and discounts: key patterns year to date
Revenue grew by 114.5K year to date compared with the previous period, with Beauty contributing 75.3K of this increase.
Every statement was checked against the calculation. Press “Why?” on any of them to open it.
What you should notice
What the data shows
Revenue grew by 114.5K year to date compared with the previous period, with Beauty contributing 75.3K of this increase.
What it means
Beauty accounts for 66% of the total revenue growth.
What the data shows
Units grew by 4.3K year to date compared with the previous period, with Beauty contributing 3K of this increase.
What it means
Beauty makes up 68% of the total units growth.
Headline movements
Concentration of revenue growth in one category
What the data shows
Revenue grew by 114.5K year to date compared with the previous period.
What the data shows
Beauty contributed 75.3K of this increase, making up 66% of the total growth in revenue.
What it means
Most of the revenue growth is concentrated in the Beauty category.
What the data shows
The increase in revenue occurred in 4 of 5 product categories.
Growth dependence · revenue_usd
Beauty accounts for 66% of the growth in revenue_usd
revenue_usd grew 114.5K; Beauty added 75.3K of it, and its share of the total moved from 39% to 30%. Growth concentrated in one category deserves a closer look.
- Beauty75.3K
- Home and kitchen37.2K
- Electronics-27.1K
- Fitness26.1K
- Toys3K
- 66%
- Share of growth
- 114.5K
- Total change
- Year to date vs last year
- Compared
Broad change · revenue_usd
revenue_usd rose in 4 of 5 category groups
The increase (+16.8%) is broad, not one group. Beauty moved most (75.3K).
- Beauty75.3K
- Home and kitchen37.2K
- Electronics-27.1K
- Fitness26.1K
- Toys3K
- 4 of 5
- Groups moving together
- +16.8%
- Total change
- Year to date vs last year
- Compared
Concentration of units growth in one category
What the data shows
Units grew by 4.3K year to date compared with the previous period.
What the data shows
Beauty contributed 3K of this increase, making up 68% of the total growth in units.
What it means
Most of the units growth is concentrated in the Beauty category.
What the data shows
The increase in units occurred in 4 of 5 product categories.
Growth dependence · units
Beauty accounts for 68% of the growth in units
units grew 4.3K; Beauty added 3K of it, and its share of the total moved from 27% to 37%. Growth concentrated in one category deserves a closer look.
- Beauty3K
- Home and kitchen886
- Fitness557
- Electronics-217
- Toys134
- 68%
- Share of growth
- 4.3K
- Total change
- Year to date vs last year
- Compared
Broad change · units
units rose in 4 of 5 category groups
The increase (+31.1%) is broad, not one group. Beauty moved most (3K).
- Beauty3K
- Home and kitchen886
- Fitness557
- Electronics-217
- Toys134
- 4 of 5
- Groups moving together
- +31.1%
- Total change
- Year to date vs last year
- Compared
Hidden signals
Broad increases in revenue, units, and discounts
What the data shows
Units rose by 31.1% year to date compared with the previous period, with increases in 4 of 4 channels and 4 of 4 regions.
What the data shows
Revenue rose by 16.8% year to date compared with the previous period, with increases in 4 of 4 channels and 4 of 4 regions.
What the data shows
Discounts rose by 24.7% year to date compared with the previous period, with increases in 4 of 4 channels and 4 of 4 regions.
Broad change · units
units rose in 4 of 4 channel groups
The increase (+31.1%) is broad, not one group. Paid social moved most (2.1K).
- Paid social2.1K
- Organic search1.2K
- Email589
- Marketplace433
- 4 of 4
- Groups moving together
- +31.1%
- Total change
- Year to date vs last year
- Compared
Broad change · units
units rose in 4 of 4 region groups
The increase (+31.1%) is broad, not one group. North America moved most (2K).
- North America2K
- Europe1.2K
- Asia Pacific806
- Latin America325
- 4 of 4
- Groups moving together
- +31.1%
- Total change
- Year to date vs last year
- Compared
Segments and concentration
Differences in average revenue and discounts between categories
What the data shows
Electronics has the highest average revenue at 155, while Toys has the lowest at 28.7.
What it means
Average revenue in Electronics is 5.4 times that of Toys.
What the data shows
Electronics also has the highest average discount at 12.1, while Toys has the lowest at 2.3.
What it means
Average discounts in Electronics are 5.3 times those in Toys.
Segment difference · revenue_usd
Electronics averages 5.4× Toys on revenue_usd
Average revenue_usd: Electronics 155, Toys 28.7, across 5 groups.
- Electronics155
- Fitness61.9
- Home and kitchen54.5
- Beauty32.9
- Toys28.7
- Electronics · 155
- Highest
- Toys · 28.7
- Lowest
Segment difference · discount_usd
Electronics averages 5.3× Toys on discount_usd
Average discount_usd: Electronics 12.1, Toys 2.3, across 5 groups.
- Electronics12.1
- Fitness5
- Home and kitchen4.4
- Beauty2.8
- Toys2.3
- Electronics · 12.1
- Highest
- Toys · 2.3
- Lowest
Differences in average discounts between channels
What the data shows
Marketplace has the highest average discount at 9.7, while Organic search has the lowest at 1.3.
What it means
Average discounts in Marketplace are 7.4 times those in Organic search.
Segment difference · discount_usd
Marketplace averages 7.4× Organic search on discount_usd
Average discount_usd: Marketplace 9.7, Organic search 1.3, across 4 groups.
- Marketplace9.7
- Paid social6.1
- Email3.9
- Organic search1.3
- Marketplace · 9.7
- Highest
- Organic search · 1.3
- Lowest
Risks to watch
Unusual revenue and discount values
What the data shows
There are 921 unusual revenue values, representing 3.7% of all rows.
What it means
These values fall outside the expected range of -40.7 to 139.3.
What the data shows
There are 1,613 unusual discount values, representing 6.4% of all rows.
What it means
These discount values fall outside the expected range of -5.1 to 12.3.
Unusual values · revenue_usd
921 unusual revenue_usd values
3.7% of rows fall outside the normal range of -40.7 to 139.3.
- 921
- Unusually high
- 0
- Unusually low
Unusual values · discount_usd
1,613 unusual discount_usd values
6.4% of rows fall outside the normal range of -5.1 to 12.3.
- 1,613
- Unusually high
- 0
- Unusually low
Relationship between revenue and discounts
What the data shows
Revenue and discounts show a moderate relationship across 25,059 rows, with a correlation of 0.6.
Relationship · revenue_usd
revenue_usd and discount_usd rise and fall together
A moderate relationship across 25,059 rows (r = 0.6). It shows the two move together, not that one causes the other.
- 25,059
- Rows compared
Questions worth investigating
Your data raises these but cannot answer them.
- What explains the larger share of revenue and units growth in Beauty compared with other categories?
- Why do Electronics and Marketplace show higher average discounts than other groups?
- Do the unusual revenue and discount values reflect real transactions or data errors?
- How might the relationship between revenue and discounts influence profitability?
The evidence behind this report
Every statement above rests on one or more of these findings.
How this report was made
Provetale examined 25,059 rows and produced 66 findings. It scored 101 candidate patterns; 36 were surprising, material and steady enough to keep. Every figure in this report comes from calculations on your data, never from the AI model.
The writing is done by an AI model that is only shown the findings, never your rows. Each statement it wrote was then checked by ordinary code against the evidence it cites: its numbers, dates, group names and wording. Statements checked and passed: 26. Left out because they did not pass: 1.
Analysis engine 3.0.0 · scoring 4.0.0 · writing and checking prompts 2.0.0
Now try it on your own spreadsheet.
Upload a CSV or Excel file and get a report like this one, in your language. Your first five reports are free, with no card.