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Floristry is seasonal. Valentine’s Day, Mother’s Day, and Christmas are some of your biggest weeks of the year. Peak reporting helps you compare these busy periods year-on-year so you can plan stock, staffing, and logistics ahead of time.
This page covers features gated by Manager-tier permissions. Managers and Admins have these by default; your administrator can adjust who has them in Settings > Team.
Peak period chart comparing Valentine's Day performance across years
Peak reporting is a premium feature. If you see a lock icon next to Peaks in your navigation, get in touch to enable it.

How it works

Pick a period to analyse and a comparison to measure it against. The period is either a predefined peak or a custom date range. The comparison is the previous year, the previous period, custom dates, or nothing.

Predefined peaks

Select a peak period and a year, and your dashboard shows you everything that happened during that window: orders, revenue, products sold, customer behaviour, and more. It also compares each day against your average daily performance for the rest of the year, so you can see how much busier you were. Covers the major UK and international floral peaks: Valentine’s Day, International Women’s Day, Mother’s Day, International Mother’s Day, Father’s Day, Easter, Thanksgiving, and Christmas. Dates are calculated for you each year.

Custom comparison

Pick Custom dates… as the period and set a date range. Then set Compare against to Same dates last year (the default), Previous period, Custom dates, or No comparison. Named peaks can be compared too, with the same options minus Previous period (since the 5 days before a named peak isn’t a useful comparison). This is useful for comparing:
  • This December vs last December
  • A promotional week vs a normal week
  • Any two periods you want to measure against each other

What you’ll see

Summary cards

At the top, you get the headline numbers for your selected period.
MetricWhat it shows
Total ordersHow many orders you fulfilled
Total salesYour revenue for the period
Average orderHow much each customer spent on average
Average lead timeHow many days ahead customers placed their orders, alongside the percentage of last-minute orders
Open tasksTasks due during the period that haven’t been completed yet

Volume impact

This shows how much busier each day of the peak was compared to a normal day. You’ll see ratios like “2.5x busier than average”, meaning you handled two and a half times your usual daily volume. The average is calculated from the rest of the year, excluding the peak period itself, so peak days are compared against your typical day rather than against themselves.

Charts and breakdowns

Peak reporting is split across four tabs. Each tab focuses on a different angle of the same peak window.

Overview

ChartWhat it shows
Daily Sales & OrdersRevenue and volume trends across each day of the peak
Hourly Order PatternsWhen during the day customers are placing orders (useful for staffing)

Customers & Sales

ChartWhat it shows
Fulfilment MethodsHow many went out for delivery vs were collected in-store
Customer TypesNew customers vs returning customers
Order SourcesWhere orders came from, based on the sources you’ve configured
Revenue by Customer TypeHow much each customer group spent
Order Value DistributionHow your orders break down across price bands
Last-Minute OrdersThe percentage placed within 24 hours of fulfilment
Popular Delivery TimesWhich time slots customers requested most

Products & Workload

ChartWhat it shows
Best-Selling ProductsYour top products by quantity during the peak
Revenue by CategoryWhich product categories performed best
Workload & Item AnalysisHow multi-item orders affect the real volume of stems to prepare

Geography & Forecast

ChartWhat it shows
Geographical DistributionTop postcodes by order volume, revenue, and average order value
ForecastA three-year projection for predefined peaks (see below)
Detailed peak period analysis with heatmap

Forecasting

For predefined peaks, Digital Florists shows a forecast for the next year based on your year-on-year growth. You’ll see three bars side by side.
BarWhat it shows
Previous yearWhat you did last time
Current yearWhat you did this time
ForecastWhat Digital Florists projects for next year
The forecast compares this year against last year, dampens the growth rate, and caps the maximum projected growth so a single big year doesn’t skew the next one. If you don’t have data for the previous year, the growth rate falls back to zero and the forecast matches this year. This helps you plan how many stems to order, how many drivers to schedule, and how much stock to carry.
If you sold 500 red roses last Valentine’s Day, the forecast helps you estimate whether to order 500, 550, or 600 this year, based on your actual growth trend rather than guesswork.
Forecasts only appear on predefined peaks. Custom comparisons don’t include a forecast because arbitrary date ranges don’t have a natural “next year”.

Filtering

You can refine your peak analysis with several filters.
FilterWhat it does
LocationsView a specific shop or all locations
Order TypesFilter by gift, funeral, corporate, or event orders. Defaults to gift only
Order SourcesFilter by where orders came from
IntegrationsFilter by connected platforms
Include Unpaid OrdersOff by default. Paid and partially paid orders are always included; turn this on to also include unpaid orders
Exclude POS OrdersOff by default. Turn this on to exclude walk-in till sales and see only online and phone orders

Printing

Click Print to get a print-optimised view of the full report, with a header showing the peak name and date range.

How the data is calculated

Peak reporting uses fulfilment dates, not order dates. An order placed on February 10 for delivery on February 14 counts as a Valentine’s Day order. Cancelled orders are excluded from every peak calculation. By default, only paid and partially paid orders are included. You can toggle unpaid orders on if needed. The “average day” baseline is calculated from the same year, excluding the peak period itself and applying the same filters you’ve selected.

Common questions

The predefined peak view shows one year at a time, but you can switch between years to compare manually. The forecast chart shows three years side by side (previous, current, projected).
If no orders match the selected period and filters, you’ll see a helpful message with a year selector so you can try a different year.
Peak reporting is a premium feature that needs to be enabled for your instance. Get in touch with support to get it turned on.
The list of predefined peaks is fixed for now, but you can pick Custom dates… as the period to analyse any date range you like.
Because peak demand is about when flowers need to be ready and delivered, not when the order was placed. A Valentine’s order placed in January still needs to be fulfilled on February 14.

What’s next?

Analytics overview

Back to the analytics overview.

Insights

Drill into staff, product, and customer performance.

Areas

See where your orders are coming from by town, postcode, or county.

Reports

Download detailed reports for any area of your business.
Last modified on June 2, 2026