> ## 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.
# Analytics Hub
> Your birds-eye view of store health: key metrics, smart plain-language insights, enrichment impact, and quick links into every analytics report.
The Analytics Hub is your starting point. It summarizes what is happening across your store and product data, surfaces the most important signals to act on, and links you into every detailed report.
Analytics data comes from your connected e-commerce platforms. Make sure you have at least one integration set up to see real data. Want to explore first? Try the [interactive analytics sandbox](https://wisepim.com/analytics-sandbox) with demo data. No setup required.
**What the Hub lets you do:** catch a revenue dip or quality drop the same week it starts, before it compounds into a problem that takes months to reverse. The payoff is early visibility, not just retrospective reporting.
## Key metrics
Four hero metric cards sit at the top of the Hub:
* **Total Revenue**: overall revenue with a trend sparkline and period-over-period change.
* **Orders**: total order count with visual trend data.
* **Conversion Rate**: the share of sessions that result in a purchase.
* **Avg Order Value (AOV)**: revenue divided by order count.
Each card shows a comparison against the previous period so you can see at a glance whether performance is improving or declining. Hover any data point for the exact value and date breakdown.
### What healthy numbers look like
These are directional benchmarks for general e-commerce. Your own baseline is what matters most, use these to sense-check, not to grade yourself.
| Metric | Typical range | Concern signal |
| --------------- | ----------------------------------- | ------------------------------------------------------------ |
| Conversion rate | 1–4% for most online stores | Below 0.5%, or a drop of more than 0.5 pp period-over-period |
| AOV trend | Stable or rising | Falling while order count holds flat (margin erosion) |
| Revenue trend | Matches or beats order count growth | Revenue flat while orders rise (AOV is shrinking) |
### Reading the comparison arrows
* A **green** arrow means the metric improved versus the previous period.
* A **red** arrow means it declined.
* **Two metrics moving in opposite directions** is often the most useful signal. Orders rising while revenue falls signals a drop in AOV. Conversion rising while revenue falls signals fewer sessions overall, a traffic problem, not a content problem.
Use the date-range selector in the page header to switch periods. The comparison adjusts automatically.
## Key insights
Below the hero cards, up to three insight chips surface the most important signals from across your store without requiring you to dig into individual reports:
* **Biggest KPI mover**: the metric that shifted the most versus the previous period, with a one-click link to the relevant report.
* **Data-quality grade**: your current overall score at a glance, so you know whether enrichment work is keeping pace.
* **Top revenue product**: the single product earning the most in the period.
Each chip includes an **Ask AI** button that opens the assistant pre-loaded with context for that signal, so you can ask follow-up questions or request a deeper explanation straight away.
## Performance charts
The charts section shows revenue and orders as **separate views**: a revenue trend line and an orders trend line, so you can read each independently and spot divergences. Hover any data point for the exact daily value.
**Interpreting the patterns:**
| What you see | What it signals |
| ---------------------------------- | ----------------------------------------------------------------- |
| Revenue and orders rising together | Healthy growth, volume and value both up |
| Orders up, revenue flat | AOV shrinking, check average price, discounts, or product mix |
| Revenue up, orders flat | AOV growing, upsell or mix shift working, monitor it |
| Both declining together | Demand drop, check traffic sources and channel sync health |
| Weekend spikes that don't recover | Promotional dependency, base demand may be weaker than it appears |
## At a glance
The snapshot panels give you a quick read on store health without opening a separate report:
* **Data-quality score**: your overall grade plus the four domain breakdowns, **Completeness**, **Channel Readiness**, **SEO**, and **Conversion Potential**. Hover any domain bar to see which product families are dragging it down.
* **Top 5 products by revenue**: the five highest-earning products in the selected period with revenue and trend arrow, directly linked to the Product Performance report.
* **Connected channels**: each active channel with its last-sync time, so you can spot a stalled integration at a glance.
## Data freshness
The **Data freshness** panel tells you exactly how current your analytics are. It shows:
* **Last-sync time** per connected platform, so you can see whether data is minutes or hours old.
* **Order count** included in the current data set for the selected period.
* **Per-platform sync status**: green means the last sync completed cleanly; amber or red flags an error you should investigate in [Integrations](/en/integrations/supported-platforms).
Use the **Fetch fresh data** button to pull the latest orders from all connected platforms on demand. This is useful before an important review or after a busy sales period when you want the most up-to-date numbers before diving into the reports.
Fetching fresh data triggers a sync for all connected platforms. It typically takes 30–90 seconds depending on order volume.
## Recent activity and improvement impact
Scroll down the Hub to see two more panels side by side: a **Recent activity** feed listing the latest product changes, enrichments, and automation runs; and an **Improvement impact ranking** showing which enrichment or fix actions produced the biggest measurable revenue lift.
## Smart Insights
The **Smart Insights** section (also reachable from the sidebar under *Insights*) generates plain-language signals ranked by impact across revenue, margin, returns, and data quality. Insights are organized into two groups:
* **Protect revenue**: issues that put current revenue at risk (stockouts, high return rates, quality drops).
* **Capture upside**: opportunities to grow (enrichment-driven lifts, cross-sell potential, SEO gaps).
Each insight shows a quantified impact, the top contributing products or segments, and a direct action link so you can act immediately.
The top insight is promoted to a featured card with a full contributor list. Start there for the highest-priority action of the week.
## Enrichment Impact
The **Enrichment Impact** report (under *Revenue Intelligence* in the sidebar) maps revenue lift to specific AI enrichment actions, per SKU. It answers the question: "Is our enrichment work actually moving revenue?"
You can see total revenue gained, revenue per enrichment credit spent, and which enrichment actions (image recognition, description generation, etc.) earned the most. Products where revenue declined after enrichment are flagged for QA.
## Returns & Refunds
The **Returns & Refunds** report shows your return rate, refunded revenue, and a correlation chart between data quality grade and return rate. Products with accurate descriptions, proper images, and complete specs set correct buyer expectations. They tend to come back less often.
## Act on what you find
Check whether orders also fell (traffic or demand problem) or held flat (AOV problem). If AOV dropped, open [Revenue & Sales](/en/analytics/revenue-sales) to see which categories or products shifted. If orders fell, check the Data freshness panel for a stalled integration before drawing conclusions.
A conversion drop without a traffic drop points to the product listing itself, content, images, price, or channel readiness. Open [Data Quality](/en/analytics/data-quality) and filter to the affected products. Adding missing images and generating meta descriptions are typically the fastest wins. Outcome: recovering even 0.5 pp of conversion on meaningful traffic volume translates directly to revenue without any ad spend.
Use the quality score panel on the Hub to identify which domain is dragging the score down, then go straight to [Data Quality, Fix Issues](/en/analytics/data-quality) for a ranked list of the highest-impact fixes. Outcome: higher quality scores correlate with lower return rates and better channel listing acceptance.
Open [Integrations](/en/integrations/supported-platforms) and inspect the failing platform. A stale sync means your analytics data is incomplete, metrics for that channel will be understated until the sync recovers.
Click the chip to open Smart Insights pre-loaded with the relevant context. From there, each insight links directly to the products or categories involved. Outcome: catching a quality drop in the same week it happens prevents it from compounding across a full sales period.
Check the [Enrichment Impact](/en/analytics/enrichment-impact) report. If the revenue-per-credit figure is falling, the most-impactful enrichment types have probably already been completed for your high-traffic SKUs. Focus enrichment effort on the next tier of products, or try a different enrichment type (for example, moving from descriptions to image recognition).
## Explore all reports
Revenue trends, order volumes, and sales performance across your catalog.
Which products drive the most revenue, which underperform, and where trends are emerging.
Funnel analysis, drop-off points, and conversion rate optimization.
Customer segments, lifetime value, and purchasing patterns.
Performance across your connected sales channels, side by side.
Quality scores, field health, quick wins, and issue resolution tools.
## Navigating Analytics
The sidebar groups reports into logical sections. You can reorder items by dragging them.
Top-level overview and Smart Insights. Start here every session.
Overview, Fix Issues, and Field Health sub-pages.
Revenue, conversions, product performance, category insights, traffic, and search analytics.
Enrichment Impact, Stock-Out Loss, Returns & Refunds, and Profitability.
Cross-sell analysis, time patterns, channel comparison, marketing attribution, and customer insights.
Collapse the sidebar to an icon-only view for more room when working with detailed charts.
## Time range controls
Most analytics pages share the same date-range selector. Available presets:
| Range | Description |
| ------------- | -------------------------------------- |
| **7 days** | Short-term trends and recent activity |
| **30 days** | Monthly performance overview (default) |
| **90 days** | Quarterly analysis |
| **12 months** | Year-over-year comparison |
You can also set a custom date range or compare against a previous period or year-over-year.
Longer ranges (90 days or 12 months) take a few extra seconds to load for large catalogs with high order volumes.
## Getting started
If you see an empty state, your connected platforms have not synced order data yet.
Go to [Integrations](/en/integrations/supported-platforms) and connect at least one e-commerce platform.
Trigger an order sync from your integration settings to pull in historical data.
Return to the Analytics Hub to see your metrics populate with real data.
## Related
Monitor and improve your product data quality scores.
Build personalized dashboards with the metrics that matter most to you.