Revenue Over Time, Amazon Seller Central

Revenue Over Time for Amazon Seller Central. Tracked live in Vortex IQ Nerve Centre. How to read it, why it matters, and how to act on it.

Metrics type: Supporting Metrics • Category: Revenue & Sales

At a glance

The shape of your Amazon sales over the period, plotted as an area chart. Where Total Revenue gives you one number, this gives you the trajectory: the ramp into a promotion, the cliff after a stockout, the weekly rhythm, the slow decay of a fading hero ASIN. It is the card you scan first to know whether the business is accelerating, flat, or sliding, and where on the timeline something changed.

What it plots	Ordered product sales over time across the selected window, drawn as an area chart so the trend and the cumulative shape are both visible at a glance.
Revenue basis	Ordered product sales (gross of Amazon fees and refunds), the same population as Total Revenue, just resolved over time instead of summed to a single figure.
Granularity	Daily points across the 90D window by default, so weekly seasonality (weekend lift, midweek dip) and one-off spikes are both legible.
What it reveals that a single number cannot	The when and shape of change: a sharp drop on a specific day (suppression or stockout), a step change (price or listing edit), a gentle slope (rank erosion), or a promo spike and its post-promo trough.
Fulfilment scope	FBA and FBM ordered product sales combined, matching the headline revenue population.
Fees / refunds	Gross. This is the demand line, not the banked line. For post-fee and post-refund trajectory use Net Revenue (after fees + refunds).
Anomaly partner	The trend is the human-readable view; Sales Volume Anomalies is the automated detector that flags statistically unusual points on this same series.
Time window	90D (the selected period)
Alert trigger	Configurable on trend movement
Roles	owner, finance

Calculation

Calculated automatically from your Amazon Seller Central data. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading.

Worked example

A supplements seller reading the 90D area chart on 01 May 26 (window 01 Feb 26 to 01 May 26). Figures are illustrative.

Phase on the chart	Dates	Daily revenue (approx)	What the shape shows
Steady baseline	01 Feb to 28 Feb	$3,800/day	Healthy weekly rhythm, weekend lift
Promo spike (Prime-style deal)	01 Mar to 03 Mar	$9,500/day peak	Sharp area spike, then a post-promo trough
Post-promo trough	04 Mar to 10 Mar	$2,900/day	Pull-forward demand dip, recovers within a week
Stockout cliff	22 Mar to 02 Apr	$700/day	Near-vertical drop, the hero ASIN ran out
Recovery	03 Apr onward	$3,600/day	Climbs back as stock and rank rebuild

The 90D total is the same number as Total Revenue. The value of THIS card is the shape:
  - the 01 Mar spike confirms the deal worked (and the trough that pull-forward causes)
  - the 22 Mar cliff is unmistakable, vertical, and dated: that is a stockout, not a market dip
  - the slow post-stockout recovery shows rank takes time to rebuild after going out of stock

Four things to notice:

1. The stockout cliff is the headline. A near-vertical drop on 22 Mar that holds low for ten days is the signature of a stockout, not soft demand. The chart dates it precisely, which is what you need to tie it back to inventory and to estimate the cost. Cross-check with ASINs Stocking Out <7 Days.
2. Promo spikes borrow from next week. The 01 Mar deal peaked at $9,500/day but was followed by a trough as demand was pulled forward. Reading the spike without the trough overstates the promo’s true incremental lift.
3. Recovery is slower than the fall. The drop was instant; the climb back took weeks. Going out of stock does not just cost the out-of-stock days, it costs rank that has to be rebuilt afterward. That second cost is only visible on the trend, not in a single revenue number.
4. This is gross demand, not banked cash. The area shows ordered product sales before fees and refunds. To see what actually lands, overlay Net Revenue (after fees + refunds); the two diverge most during high-return promo periods.

Sibling cards merchants should reference together

The trend tells you when something changed. These tell you what and how much:

Card	Why pair it with Revenue Over Time
Total Revenue	The single-number summary of this exact series. The trend is the same data resolved over time.
Sales Volume Anomalies	The automated flagger for the unusual points you spot by eye on this chart.
Orders	The volume side. A revenue dip with steady orders means AOV fell; a dip with falling orders means demand fell.
Net Revenue (after fees + refunds)	The banked-cash version of this trend. Overlay to see fee and refund drag over time.
ASINs Stocking Out <7 Days	Explains the cliffs. Most vertical drops on this chart trace to a stockout.
Organic vs Ad Sales Share	Decomposes the trend into paid and organic so you know whether growth is bought or earned.

Reconciling against Amazon Seller Central

Where to look in Seller Central:

The closest Amazon-native views are:

Reports → Business Reports → Sales and Traffic (the by-date view shows ordered product sales per day), and the Sales Dashboard on the Seller Central home, which plots a comparable sales-over-time chart.

The Business Reports by-date export is the cleanest reconciliation source: set the same date range and the daily ordered-product-sales series should track this card’s shape closely.

Timing, settlement, and reporting-lag table:

Topic	Detail
Timezone	Amazon’s Business Reports use the marketplace’s local time. Vortex IQ uses UTC for day boundaries, so individual daily points can shift slightly across midnight, the overall shape is unaffected.
Ordered vs shipped	This card plots ordered product sales (by order date). Some Amazon views default to shipped or settled date, which shifts the curve by the fulfilment lag, most visible right at the trailing edge.
Today is incomplete	The most recent point is a partial day and will rise as orders land. Read the trend, not the final partial bar.
Multi-marketplace	If you sell across marketplaces, read per marketplace; the card does not FX-normalise multiple currencies into one trend line.

Why our number may legitimately differ from Seller Central:

Reason	Direction	Why
Ordered vs shipped/settled date	Curve shifts at the edge	If the Amazon view you compare uses shipped or settled date, its curve lags this card’s ordered-date curve by the fulfilment window.
Timezone boundaries	Daily points shift	UTC vs marketplace-local day boundaries move a handful of orders across adjacent days. The shape holds; individual bars wobble.
Partial latest day	Latest point lower	The newest point is incomplete until the day closes and webhooks fully settle.
Currency aggregation	Shape mismatch multi-market	Summing multiple currencies into one trend is not meaningful; read per marketplace.

Cross-connector reconciliation against other connectors the same seller may run:

Card	Expected relationship	What causes legitimate divergence
amazon.total_revenue	Same data, two views. The area under this curve over the window equals Total Revenue for the same window.	Edge effects (partial latest day, timezone) cause tiny differences; the totals reconcile over a closed window.
shopify.total_revenue trend	Cross-platform demand shape. For sellers on both, overlaying the two trends shows whether a promo on one cannibalised the other or grew the total.	Independent populations; a shared promotion may move both, but the channels are otherwise separate.

Known limitations / merchant FAQs

How is this different from Total Revenue? Same data, different view. Total Revenue is the sum for the period; this is that sum resolved over time as an area chart. You use Total Revenue for the headline and this card to see when and how the revenue moved.

Is this gross or net? Gross. It plots ordered product sales before Amazon fees and before refunds, the demand line. For the banked-cash trajectory, use Net Revenue (after fees + refunds); the gap between the two widens during high-return periods.

Why is there a sharp cliff on a single day? Almost always a stockout or a suppression. Market demand rarely drops vertically; an out-of-stock hero ASIN does. Cross-check the date against ASINs Stocking Out <7 Days and New Suppressions (24h).

Why does revenue dip right after a big promo day? Pull-forward. A deal pulls future purchases into the promo window, so the days after run below baseline before recovering. Judge a promo by spike minus the trough that follows, not the spike alone.

Why is today’s point lower than yesterday’s? Today is a partial day. Orders are still landing and webhook settlement lags by seconds to minutes. The final point always rises as the day closes; read the trend, not the latest partial bar.

Why doesn’t the recovery after a stockout snap straight back? Because going out of stock costs search rank, and rank rebuilds gradually once you are back in stock. The trend makes this two-part cost visible: the out-of-stock days plus the slower-than-expected climb afterward.

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Tracked live in Vortex IQ Nerve Centre

Revenue Over Time is one of hundreds of KPI pulses Vortex IQ tracks across Amazon Seller Central and 70+ other ecommerce connectors. Nerve Centre runs the detection layer; Vortex Mind investigates the cause when something moves; Ask Viq lets you interrogate any number in plain English.

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