> ## Documentation Index
> Fetch the complete documentation index at: https://docs.wisepim.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Revenue & Sales
> See where your sales come from. Track revenue, orders, and average order value by channel, category, and time period in one report.
The Revenue & Sales report shows your sales performance at a glance. It pulls order and revenue data from your connected e-commerce platforms. Then it breaks that data down by time period, channel, and product category, so you can see exactly where your money comes from.
Use this report to answer three questions in under a minute: Is revenue trending up or down? Which channel is carrying the most weight? Is AOV moving in the right direction? Once you know the answers, the report links directly into the actions that address them, whether that is improving product content, rebalancing channels, or launching a bundling promotion.
Revenue data comes from your connected e-commerce integrations. You need at least one platform connected, with order data synced, to see metrics here.
## Key metrics
These four numbers sit at the top of the report. They give you the headline view of how sales are doing.
| Metric | What it tells you |
| ----------------------------- | ------------------------------------------------------------------------------------------------ |
| **Total Revenue** | Your total sales for the selected period, with the percentage change versus the previous period. |
| **Total Orders** | The number of completed orders. Track this to spot order volume trends. |
| **Average Order Value (AOV)** | Revenue divided by orders. A rising AOV means customers spend more per transaction. |
| **Items Sold** | Total product units sold across all orders. |
Watch AOV next to total orders. If revenue grows but AOV drops, you are selling more at lower cart values. That is a good moment to try upselling or bundling.
## What good looks like
These ranges give you a sense of where a healthy store sits. They are directional, results vary by category, price point, and channel mix. Use them alongside your own period-over-period trend.
| Metric | Concerning | Average | Healthy |
| ----------------------------------- | -------------------------------- | ------------------- | ----------------------------------------------------------- |
| **Month-over-month revenue growth** | Declining | Flat to +3% | +5% or more |
| **Average Order Value (AOV)** | Dropping period-over-period | Stable | Rising, or at least 20–30% above your lowest-priced product |
| **Channel concentration** | One channel over 80% of revenue | One channel 50–80% | No single channel above 50% |
| **Category spread** | Top category over 70% of revenue | Top category 40–70% | Revenue spread across 3+ categories |
AOV benchmarks differ widely by vertical. Fashion and home goods average €50–€80; electronics and furniture often exceed €200. Compare your AOV trend over time rather than against a single threshold.
## Insights
At the top of the report, a row of insight chips surfaces patterns that are easy to miss in raw numbers. These update whenever you change the date range:
* **Revenue forecast**: when your selected period is only partly elapsed, this chip projects end-of-period revenue based on the trajectory so far, useful for knowing whether you are on track before the month closes.
* **Channel concentration warning**: if a single channel accounts for 50% or more of revenue, a warning chip flags the dependency so you can decide whether to invest in secondary channels.
* **Busiest weekday**: the day of the week averaging more than 10% above your daily average, so you can time promotions and content refreshes to land just before your peak.
* **AOV trend**: whether average order value is rising, flat, or falling versus the previous period, at a glance before you scroll to the chart.
* **Biggest single day**: the top-revenue day in the period with its date and value, handy for confirming that a campaign or sale landed as expected.
## Read the charts
Below the key metrics, five views break your sales down in different ways.
### Revenue trend
A line chart compares revenue across two time periods: current versus previous. Use it to spot growth, decline, and seasonal patterns. Hover over any point for the exact daily value.
### Orders per day
When order data is available, an **Orders per day** chart sits alongside the revenue trend. Reading them together is more revealing than either alone: revenue growing while daily orders are flat means AOV is rising; orders climbing while revenue is flat means smaller baskets. Use the pair to diagnose what is actually driving a change.
### Revenue by channel
A donut chart shows how revenue splits across your connected sales channels, such as Shopify, WooCommerce, or Magento. Use it to see which channels drive the most revenue, and whether your mix is balanced or leans on one platform.
### Revenue by category
A horizontal bar chart ranks your product categories by revenue. Categories at the top earn the most. Use it to confirm your strongest categories and catch underperformers that need attention.
### Top products table
A sortable table lists your highest-revenue products. Columns cover product name, SKU, revenue, units sold, and average selling price. Sort by any column to find your best sellers, or to spot products with unusually high or low average prices.
The channel breakdown, category breakdown, and top-products table each have a **CSV export** button in the top-right corner. Use it to pull the data into a spreadsheet for further analysis or to share with stakeholders outside WISEPIM.
## Act on what you find
Confirm the source. Check the **Top products table** to see whether the revenue increase is coming from higher-priced items or from customers adding more to their baskets. If it is unit-driven, double down: use [Bulk Edit → Change price](/en/essentials/bulk-editing/change-price) to incrementally raise prices on your top sellers and watch whether order volume holds. **Outcome:** sustained AOV gains from confirmed demand elasticity rather than one-off price spikes.
A single-channel dependency means one bad algorithm update, policy change, or outage can crater your month. Check the **Revenue by channel** donut to confirm the split, then open [Channels](/en/analytics/channels) for a side-by-side comparison. Prioritise improving product content quality for under-performing channels via [Enriching products](/en/essentials/enriching-products), poor content quality is the most common reason a channel converts worse than expected. **Outcome:** a more balanced revenue mix that is resilient to single-channel volatility.
First, confirm whether the drop is seasonal by switching to a 12-month range and comparing the same period last year. If it is structural, open [Product Performance](/en/analytics/product-performance) and filter to that category to find which products are falling. Then use [AI enrichment](/en/essentials/enriching-products) to refresh stale descriptions and images on the declining items. **Outcome:** recovered category revenue by addressing the content issues that suppress conversion on the way down.
Check for heavy discounting in the **Top products table**: a low average selling price on high-volume items is a common cause. Then run a [Bulk Edit → Change price](/en/essentials/bulk-editing/change-price) to test a modest increase on your highest-volume products. Consider also setting up an [automation](/en/automations/overview) that flags products whose selling price dips below a target margin threshold. **Outcome:** AOV recovery without sacrificing order volume, and a safeguard against future margin erosion.
The forecast chip on this page shows your end-of-period pace. If you are behind target early in the month, open [Time Patterns](/en/analytics/time-patterns) to find your busiest upcoming days, then schedule promotions or content pushes to land just before those peaks. **Outcome:** corrective action taken while there is still time to close the gap, rather than discovering the shortfall at month-end.
## Related
Drill into individual product metrics to find your best and worst performers.
Compare performance across your connected sales channels side by side.
Analyze revenue, orders, and market share at the category level.