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bronze report
sample report · brand x · fashion & apparel

the sales story, read properly.

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 for
brand x (sample)
period
2020 – 2024
orders analysed
30,018
data source
shopify 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.

£4.34m
lifetime revenue
4.6×
growth 2020–2024
30,018
total orders
£144.51
all-time aov
01revenue overview

revenue has grown every year — and the 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.

yearordersrevenueyoy
20202,283£326,035
20213,927£581,668+78%
20225,882£860,250+48%
20237,509£1,069,875+24%
202410,417£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.

J
F
M
A
M
J
J
A
S
O
N
D

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 the higher-priced knitwear and bottoms lines. the ribbed knit jumper alone has generated £417k. the tops range moves the most units — it’s the volume engine that brings customers in, even though it isn’t the biggest revenue line.

productunitsrevenue
ribbed knit jumper3,212£416,885
merino cardigan2,363£364,918
relaxed chino trousers3,286£356,301
longline wool coat1,433£350,784
oversized linen shirt3,740£331,813
wide leg jeans2,812£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

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 the 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
1.52
avg 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 the peak-season concentration is intensifying as the brand grows.

2024 quarterordersrevenue
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 the 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 the 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.

book the bronze audit →
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