Cost Per Wear: A More Useful Way to Compare Your Spreadsheet Finds

A low item price makes a spreadsheet find look attractive. A high price can look reasonable if you imagine wearing the item for years. Both reactions can miss the same question: how often will this particular garment become part of your real week?

Cost per wear offers a way to organise that question. Divide an item’s cost by the number of times you wear it. The arithmetic is simple; the assumptions are where the useful work happens.

When comparing a LoloBuy spreadsheet shortlist, treat cost per wear as an estimate you can revisit. It cannot predict durability from a picture or prove that a purchase is affordable. It is most useful when you already know the wardrobe role and want to compare a small number of realistic options.

Define the calculation before using it

The basic formula is item cost ÷ number of wears = cost per wear. If a hypothetical £40 sweatshirt is worn 40 times, its purchase cost per wear is £1. If it is worn only ten times, the figure is £4.

Those amounts are examples, not live product prices. They show that the denominator matters as much as the starting price. Changing the wear estimate can transform how the same item appears in a comparison.

Define what counts as a wear. You might count a day when you meaningfully use the garment, rather than every moment you put it on. There is no need to claim one convention is universally correct, but keep yours consistent.

Also define which costs you include. You can start with purchase cost, then record attributable alterations or paid care separately. Do not compare one item using purchase price alone with another using every ownership expense.

Keep observed wears separate from projected wears

For clothes you already own, the wear count can be based on a simple record. For a new candidate, it is a forecast. These two figures deserve different labels.

A favourite hoodie worn twice each week for ten weeks has 20 recorded wears during that period. A saved hoodie that you hope to wear twice each week has no observed wears yet. Putting them in the same spreadsheet column can make the forecast look like evidence.

Use an “actual” column and a “planned” column if you track both. You do not need to reconstruct the history of every garment. Start with a small group you use regularly and make the record manageable.

The aim is to recognise your habits. If every special-event garment receives a forecast of 100 wears, your table is probably reflecting enthusiasm rather than your calendar. Lower-confidence estimates should remain visibly uncertain.

Price does not supply a durability forecast

The 2025 PLATE research assessed 47 T-shirts using several durability measures and found no useful correlation between price and durability within that sample. WRAP’s explanation describes a programme of 50 wash-and-dry cycles, with checks such as appearance, shrinkage and colour change.

That is evidence against treating price as a simple durability indicator. It is not evidence that every cheap item lasts longer than an expensive one, or that any T-shirt in our catalogue has passed the same testing.

A separate University of Leeds research framework considered physical durability across T-shirts and denim jeans. Its multi-factor approach reinforces why a single attractive label cannot substitute for an assessment of the actual garment.

For cost per wear, the implication is straightforward: do not give a more expensive product extra years of life merely because it costs more. If you lack product-specific longevity evidence, the lifespan remains an assumption.

Start with an affordable total, then compare value

A low projected cost per wear does not reduce the amount you have to spend now. A hypothetical £120 jacket still requires £120 even if the table suggests £1 per wear after a long period.

Set the amount you are comfortable spending before adjusting the use forecast. If a candidate exceeds that limit, the most optimistic scenario does not make the immediate expense disappear.

For an international parcel, use the shipping quote guide to keep delivery separate from the saved item price in that budget.

This is a wardrobe planning exercise, not a recommendation to finance a purchase. You can keep an unaffordable item on a style inspiration list without promoting it into the active buying shortlist.

The order matters: define the role, set the spending limit and then compare realistic candidates. Reversing that sequence makes it easy to invent a wear count that justifies something you already want.

Use a range instead of a perfect prediction

Write a cautious, ordinary and optimistic use estimate. The range exposes how dependent the apparent value is on future behaviour. It is especially helpful for an item that would be new to your routine.

Here is an illustrative comparison of two sweatshirts with different hypothetical purchase costs:

At the same wear count, A has the lower purchase cost per wear. B needs a separate reason to be worth choosing: perhaps it fills the role more comfortably or works with more existing outfits. Its higher price alone does not create that reason.

The range is not a statistical confidence interval. It is a set of planning scenarios. Its usefulness depends on whether the counts connect to your routine, rather than being selected to make a favourite candidate win.

Calculate the use needed for a comparison to change

You can work backwards when two options have different roles. Suppose hypothetical item A costs £30 and you expect 30 wears. Its projected purchase cost per wear is £1.

A £50 item would need 50 wears to reach that same figure. If your actual calendar suggests only 20 opportunities, the extra use should not appear in the table simply because the item is more expensive.

This calculation shows a threshold, not a promise. Even if 50 wears seem plausible, the candidate still needs to remain suitable and usable. You cannot infer that future condition from arithmetic.

Use the threshold to ask a concrete question: does this item genuinely fit that many occasions, given what I already own? If the answer is uncertain, leave the comparison uncertain instead of replacing it with a larger made-up number.

Watch for wardrobe competition

A new garment does not always create new wearing occasions. It may compete for the same occasions as two items you already like. This is where a large wardrobe can make use forecasts unrealistic.

Imagine a person who wears hoodies on three days each week. Buying another one does not automatically create a fourth hoodie day. The new item may share the existing rotation and receive fewer wears than a forecast based on the whole category.

Compare the candidate with the specific items that already fill its role. If it offers no meaningful difference, the likely gain may be variety rather than additional practical coverage. Variety can be a preference, but name it accurately.

The capsule wardrobe worksheet helps identify these overlaps. It asks which existing outfits a candidate connects with and what it adds before estimating how often it will be worn.

Separate care money from care effort

Paid cleaning, alterations and repairs can be recorded as money. Time, drying space and the inconvenience of a routine are different forms of ownership effort. They matter even when you do not convert them into pounds.

For example, imagine a £40 garment with a £10 alteration and 25 recorded wears. Counting that attributable alteration gives £50 divided by 25, or £2 per wear. Without it, purchase-only cost per wear would be £1.60.

Both calculations can be useful if clearly labelled. Neither tells you whether the alteration was worthwhile without considering how it changed the garment’s usefulness.

Do not create artificially precise laundry costs if you cannot allocate a shared wash meaningfully. A separate note such as “needs more drying space than my usual tops” may communicate the practical constraint better than a guessed two-decimal estimate.

Do not confuse longer ownership with more use

Keeping a jacket for five years is different from wearing it frequently for five years. An item can occupy wardrobe space for a long period while contributing very few actual wearing occasions.

Use a forecast grounded in frequency. If a garment is likely to be worn twice a month during four months of the year, that suggests eight annual opportunities before accounting for alternatives or changing circumstances.

That example is deliberately modest. It may be perfectly reasonable for a distinctive occasional item. The problem arises when an occasional role is entered as daily use to make the value calculation look stronger.

Age can still be helpful context, especially for reviewing items you already own. Record it alongside wears rather than using it as a substitute. The two observations answer different questions.

Review why an item is not being worn

If actual use falls below your forecast, the useful response is to identify the reason. Perhaps the fit makes the garment inconvenient, the colour has fewer partners than expected or the intended occasion occurs less often.

Do not wear an uncomfortable item merely to improve the number. The calculation is meant to inform decisions, not pressure you into making a poor purchase appear successful.

There may be a practical fix worth considering, such as an appropriate alteration or a different outfit combination. Get the relevant information before committing more money. A repair or adjustment is not automatically worthwhile for every item.

If the reason is a duplicate role, use that lesson in the next shortlist. A forecast tied to your actual wardrobe will usually be more helpful than an even more optimistic estimate for the next product.

Keep material decisions connected to the role

A garment with attractive cost-per-wear arithmetic can still be wrong for its intended purpose. A heavy hoodie that you avoid indoors or an awkward outer layer may accumulate fewer wears than the table initially suggests.

Use the cotton versus polyester hoodie comparison when fabric and care affect that role. For footwear, the leather, suede and canvas comparison explores why upkeep and outfit compatibility belong beside the price.

These comparisons do not provide a predicted lifespan. They help describe suitability. That distinction keeps a materials article from turning into a claim that a specific fibre or upper will deliver an exact number of wears.

Once the role is clear, browse a relevant category such as hoodies, trousers or shoes. A small set of role-matched candidates is easier to compare honestly than a mixed list of unrelated bargains.

Use a worksheet that can be corrected

A good record makes it easy to change your mind when new information arrives. Separate the known amount, the forecast, the actual count and the reason behind the forecast.

Do not interpret a low result as an instruction to buy. It is one part of a broader decision involving need, preference and spending. If the role is already well covered, adding another candidate may not solve anything.

You can also run the calculation for a favourite you already own. The result may reveal that the most valuable wardrobe item is the one you should keep wearing, rather than a product that promises theoretical savings.

Let the calculation clarify the decision

Cost per wear is useful because it turns “I will wear it all the time” into a statement you can examine. It becomes misleading when the forecast is treated as a fact or the price as evidence of longevity.

Keep examples hypothetical, use a realistic range and return to the clothes already competing for the same role. Record actual use when possible, then use that record to improve the next shortlist.

The strongest spreadsheet decision remains understandable without the final division. The item fits a genuine wardrobe need, the spending is manageable and the expected use has a practical basis. The number can make that reasoning clearer. It cannot supply reasoning that was missing from the start.