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Demo Report - Bronze - Brand x

Bronze Report Sample Report · Brand X · Fashion & Apparel

A thorough read of five years of order data: what’s selling, when, at what value, and how the shape of the business has changed. The foundation every deeper analysis builds on.

Prepared ForBrand X (Sample)
Period2020 – 2024
Orders Analysed30,018
Data SourceShopify Export
The Shape of the Business

Five Years of Compounding Growth

Across the full history, Brand X has taken 30,018 paid orders generating £4.34m in revenue. The last twelve months alone brought in £1.5m. The Bronze report establishes the factual baseline: the numbers every strategic decision should start from.

£4.34mLifetime revenue
4.6×Growth 2020–2024
30,018Total orders
£144.51All-time AOV
01Revenue Overview

Revenue Has Grown Every Year: And Growth Is Accelerating

Total five-year revenue is £4,337,823 across 30,018 orders. The trajectory is consistent: every year has grown on the last, with the jump from 2022 to 2024 representing a near-doubling of annual revenue. This is a brand in genuine growth, not a plateau story.

Year Orders Revenue YoY
2020 2,283 £326,035 N/A
2021 3,927 £581,668 +78%
2022 5,882 £860,250 +48%
2023 7,509 £1,069,875 +24%
2024 10,417 £1,499,996 +40%

Worth noting: average order value has held broadly flat (£142–148) across all five years. Revenue growth is being driven almost entirely by order volume (more orders, not bigger ones). That single observation shapes where the next opportunity lies.

02Seasonality

Two Peaks, One Trough: A Predictable Annual Rhythm

Aggregating every year, demand builds through spring (Mar–Apr), dips through mid-summer, then climbs to a pronounced gifting peak in November and December. July and August run roughly 40% below the November high.

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November (£648k average) and December (£628k) together account for nearly a third of annual revenue. The summer trough (July–August combined: £446k) is the clear soft spot in the calendar. Knowing the shape precisely lets stock and cash flow be planned against it.

03Product Performance

Knitwear and Outerwear Carry the Value; Tops Carry the Volume

The top products by revenue are dominated by higher-priced knitwear and bottoms lines. The ribbed knit jumper alone has generated £417k. The tops range moves the most units, acting as the volume engine that brings customers in, even though it isn’t the biggest revenue line.

Product Units Revenue
Ribbed Knit Jumper 3,212 £416,885
Merino Cardigan 2,363 £364,918
Relaxed Chino Trousers 3,286 £356,301
Longline Wool Coat 1,433 £350,784
Oversized Linen Shirt 3,740 £331,813
Wide Leg Jeans 2,812 £328,020

The longline wool coat is the standout: just 1,433 units, but at £298 each it sits among the top revenue lines. The highest-value item in the catalogue moving in modest volume is a pattern worth understanding: it’s a clue about basket value that the Bronze data flags and the Silver analysis follows up.

04Category Mix

Bottoms Lead Revenue; Tops and Accessories Lead Volume

The catalogue splits cleanly into a volume tier and a value tier. Bottoms lead overall revenue at £1.14m; tops move the most units but at lower unit prices; accessories are high-volume, low-value. This is the structural map of where money comes from.

Bottoms
£1.14m
Tops
£857k
Knitwear
£782k
Outerwear
£639k
Dresses
£609k
Accessories
£376k

The average unit prices tell the story: outerwear at £188, knitwear at £140, bottoms at £106, tops at £63, accessories at £52. How customers move between these tiers (what they buy first, what they add, what they graduate to) is the customer-behaviour question the Silver report answers.

05Order Value Distribution

The £144 Average Hides Two Very Different Kinds of Order

An average order value of £144 is a useful summary, but it masks the real shape. Orders cluster in two zones: a large band of £50–150 purchases (a single mid-priced item or a tee-plus-accessory), and a meaningful tail of £150–400 orders where knitwear, outerwear, and multi-item baskets sit.

Under £50
9%
£50–100
27%
£100–150
28%
£150–250
21%
£250–400
13%
£400+
1%

More than half of all orders fall below £150. The upper bands (where the most valuable orders sit) are reached almost entirely by orders containing more than one item, which leads directly to the next finding.

06Basket Composition

Two Thirds of Orders Contain a Single Item

65% of orders are a single item; 35% contain two or more. This is the single most important structural fact in the sales data, because the average single-item order is worth £94.51 and the average multi-item order is worth £237.70 (a 151% difference).

65%Single-item orders
35%Multi-item orders
1.52Avg items per order
Single-Item Order
£94.51
19,537 orders · 65% of the total
Multi-Item Order
£237.70
10,481 orders · 35% of the total

The Bronze report identifies this gap precisely. Why it exists, which products would close it, and what the revenue opportunity is worth: that’s the analysis the Silver tier provides.

07Recent Momentum

2024 Closed Strongly, Led by a Record Fourth Quarter

The most recent twelve months show the seasonal pattern in sharp relief. Q4 2024 alone delivered £583k (nearly double the Q1 figure), confirming that peak-season concentration is intensifying as the brand grows.

2024 Quarter Orders Revenue
Q1 (Jan–Mar) 1,997 £292,042
Q2 (Apr–Jun) 2,447 £354,240
Q3 (Jul–Sep) 1,872 £270,694
Q4 (Oct–Dec) 4,101 £583,020

Q4 now represents 39% of annual revenue. The growing dependence on the final quarter is worth watching: it’s a strength while it holds, and a concentration risk worth managing. Understanding which customers drive that quarter is a customer-level question beyond the scope of sales data alone.

What the Bronze Report Establishes

The factual foundation: and the questions it raises

The Bronze analysis gives you the complete sales picture: a growing business, driven by volume rather than basket size, with a predictable seasonal rhythm, a clear value/volume product split, and a decisive structural finding: two thirds of orders contain only one item, and that single fact caps average order value.

What Bronze deliberately does not answer is the layer beneath the numbers: who the customers are, why they behave as they do, and what specific actions would move the metrics. Those are customer-level questions that need segmentation, retention modelling, and a recommendation framework.

Silver Adds

Customer segmentation, the multi-item opportunity quantified, lapsed-customer reactivation, the reorder-timing window, plus a website & technical review: 15 findings, each with a recommendation. View the Silver Sample →

Gold Adds

Everything in Silver, plus cohort economics, predictive churn modelling, a revenue forecast, a live-data operating model, and a sequenced implementation roadmap. View the Gold Sample →

This Is a Sample Report
Your Report Would Use Your Store's Data

This is a full Bronze example built on a synthetic dataset. The real thing reads your own numbers: same depth, your store.

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About this report. Brand X is a synthetic dataset produced by Freedom to Exist for demonstration purposes. All customer names, email addresses, and transaction records are generated and do not represent real people or a real business. All analysis was carried out on aggregated data only. The analytical patterns shown here are modelled on findings from real FTE engagements. Figures are illustrative, not a guarantee of any specific outcome. Enquiries: hello@freedomtoexist.com