what five years of fashion data actually tells you

we built a synthetic dataset for a £1.5m apparel brand and ran our full analysis against it. here is what the data surfaces - and what each tier of the fte engagement gives you.

we get asked a lot: what does an fte analysis actually look like? what will you find in my data?

the honest answer is: it depends on your data. but the patterns we look for are consistent. to show you what we mean, we built brand x - a fictional fashion and apparel brand with five years of synthetic order data, modelled on the buying behaviours we see repeatedly across shopify stores in the £500k to £3m revenue range.

brand x is not a real client. the customer names, email addresses, and order history are all generated. but the patterns are real - we designed them to reflect what we actually find when we run the fte analysis on a genuine store.

the brand x dataset

brand x sells fifteen apparel and accessories products - tees, knitwear, outerwear, dresses, trousers. classic, considered pieces. the kind of range where a customer who buys one thing is a good candidate for buying two.

healthy growth. four and a half times revenue over five years. if you are this brand’s founder, you are probably pleased with the trajectory. what you might not be looking at - because the headline number is moving in the right direction - is what is happening inside the data.

what the data reveals

four patterns show up immediately when you run the fte analysis. none of them are visible in a revenue dashboard. all of them represent actionable opportunity.

the multi-item gap is the most consistent finding we see across shopify stores. customers who buy two items are not twice as valuable - they are two and a half times as valuable. and the majority of orders are single-item. at brand x, 65% of orders contain only one product.

the second pattern is the lapsed customer base. 560 brand x customers - 4.3% of the total - have not purchased in over 18 months. their combined historical spend is £332,922. they already know the brand. reactivating them costs a fraction of acquiring someone new.

third: 386 customers have only ever purchased on a discount code across two or more orders. the margin cost of that pattern compounds quietly.

fourth: the top 20% of customers account for 54% of five-year revenue. the bottom 50% account for 16%. knowing who your top customers are is the foundation of every retention decision worth making.

the three report tiers

fte produces analysis at three levels of depth. the reports below are built on the brand x dataset. they show you what you receive at each tier - the actual findings, the actual framing, and the actual recommendations.