# Trends — day-over-day comparisons

> How to read the Trends report — daily revenue and order counts with 7-day moving averages and period-over-period comparisons.

Source: https://help.tryordinary.com/features/trends

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Trends answers: "are things up or down lately, and by how much?" It
lives on **Reports → Trends**.


## What's on the chart

- **Daily revenue bars** — one bar per day in the date range.
- **Daily orders overlay** — a second axis for order counts.
- **7-day moving average line** — smoothed revenue. Reveals the
  underlying trend when daily bars are spiky.

## The 7-day moving average

Each point is the average of the prior 7 days of revenue. It's useful
because:

- Weekends reliably dip on most DTC stores; the moving average
  absorbs that.
- Single-day promo spikes don't distort your sense of "normal."
- Comparing the moving average endpoint today vs. 30 days ago is a
  cleaner signal than comparing a Monday today to a Monday last month.

## Compare to prior period

Under the main chart, a second chart shows the same metric for the
prior equal-length period (30-day ranges compared to the previous
30 days, week-to-week, etc.).

Use the delta readout at the top to quantify:

- "Revenue is up 18% week-over-week"
- "Orders are down 6% but AOV is up 25% — we sold fewer but higher-ticket
  items"

## Common uses

- **Promo pre/post** — was the promo's incremental lift real, or
  did it just pull forward demand from the following week?
- **Ad campaign rollout** — did the new campaign actually move the
  baseline, or just consume budget?
- **Product launch** — did the new drop raise the trend, or was it
  a one-day spike that reverted?

## What it doesn't model

- **Attribution** — this is store-wide revenue, not channel-attributed.
  For per-channel trends, use the attribution report's date range
  comparison.
- **Seasonality decomposition** — we don't strip out annual seasonal
  patterns. If you're comparing Nov to Oct, expect apples-to-oranges.

## Related articles

- [Dashboard — reading your home page](https://help.tryordinary.com/features/dashboard) — shows a
  simplified version of this chart.
- [Attribution reports](https://help.tryordinary.com/features/attribution) for per-channel trend detail.