It’s no secret that Covid-19 has accelerated the shift to digital commerce within fashion retail. Over the last 12 months, UK womenswear retailers have seen their online revenues increase by an average of 18%.
Another area to deliver a significant boost to the cash position of fashion retailers is the huge drop in return rates for online orders. Womenswear return rates have fallen from an average of 35.4% to 27.8% over the Covid-19 period. This near 8% point (-21%) drop has a huge impact on cash flow and contributed profit. Through this post we will be referring to actual percentage point drops not the relative %, unless specifically stated.
To illustrate the impact of this reduction in return rates, take a retailer with online revenue of £100m. Even with no revenue growth, an 8% point drop in return rates delivers a 19% relative improvement in contributed margin, approx £5m of additional cash (assuming all distribution and return costs per return remained the same).
While this is a well needed cash injection, we expect fashion retailers to see a very different return rate profile in the second half of 2021. Like many behavioural scientists have predicted, we expect pent up demand will lead to a “roaring 20s” of our own as restrictions are lifted. The subsequent increase in evening and occasion wear will shift return rates back to above 2019 levels. Unless properly budgeted and planned for, this will eat into the precious cash reserves of retailers.
Luckily, the depth and breadth of customer and garment data that retailers have access to means that they can accurately forecast their return rates and ensure there are no nasty shocks whilst firming
up forecasts and budgets for 2021.
So let’s dig a little deeper and look at the detail behind those declining return rates.
Change In What Customers Are Buying
At Dressipi, we have analysed the return rates of our UK clients (who represent approximately 15% of the online womenswear market) over 6 months from March-October 2019 vs the same period in 2020. We can see that return rates have dropped from 35.4% to 27.6%. At a high level this breaks down as follows:
In terms of the mix of product categories, the key changes are as follows:
1) The top 3 gaining categories are Jeans (up 6% to a total of 12% of overall mix), Tops (up 3.3%), and Bottoms (up 2.5%).
2) The 3 categories that have suffered the biggest declines are Dresses (-3%), Swimwear (-2.5%), and Jumpsuits (-2%).
The key categories driving the 6% points return reduction within the product category are predominantly the higher volume categories such as Tops, Dresses and Bottoms. Those top 3 categories are responsible for 61% of that change (3.7% of the 6%).
A deeper look at return rates and mix of top product categories
Across the board there has been an obvious shift to more casual wear and less work, occasion and holiday wear, with the exception of tops and jumpers, where there has been an increase in more evening/occasion items. Throughout the last year it looks like we have all been sitting at home on zoom in our nicer tops and jumpers with jeans or tracksuit bottoms on the bottom half!
The charts below show the relative change of mix within the top 2 categories, Dress & Tops, ordered by volume of sales. Casual dresses and tops now represent the majority of both categories. Interestingly, the return rates within each occasion have seen very little change and in some cases for the more structured fabrics and more occasional piece return rates have even increased to above 2019 levels.
These changes in mix are likely to snap back when life returns to normal, and may even exceed their pre-Covid mix as everyone catches up on the social events they’ve missed.
A deeper look at the reasons behind returns
We have also looked at the core reason why people return things. We break this down into size issues (same customer buying multiple sizes of the same product over any number of orders), style issues (same customer buying multiple options of the same category in the same order) or product issues (single category option and size per order). Although it is possible that some of the product category could be returned due to size or fit but in those cases the customer still did not like the product enough to go back and buy another size so we do not include them in the size category.
Contrary to popular opinion, sizing does not cause the bulk of returns, typically only accounting for between 15-20% (of which only half is preventable). Whereas, multiple styles being purchased typically account for 40- 60% of returns and increasingly over Covid-19. This makes sense as we are all trying everything on at home, and will definitely be in for delivery!
In pre-pandemic times, we typically see the return rates for the multiple size category around 55-65% (as people are returning at least one of the sizes) but over COVID we have seen the number of people returning both sizes increase particularly in categories such as Jeans (up 20%), Tops (up 7%), Dresses and Skirts (both up 2%) which suggests it is more of a product issue than a style issue.
When it comes to multiple style purchases you will see that this is where the majority of returns are now coming from and even though return rates are higher in this category than the single size single style category, the overall return rate has still gone down due to the big shift to casualwear.
In summary, most fashion retailers will have seen return rates decrease and will have benefited from the increased cash injection.
The data suggests, and our expectation is, that retailers should be careful forecasting the same behaviour into H2 2021. As vaccinations are rolled out in earnest, there will be a period of extreme gratification (whether through travel, socialising or returning to work). With all of that change in behaviour will be a desire to look good. As demand for those categories increases over those periods and with the permanent shift to ecommerce, retailers should budget carefully for those return rate costs to rise over H2 in 2021. If a retailer with £100m of online revenue assumes a permanent shift to lower return rates, they could well find themselves £3m short on their forecasted cost base.
Fortunately, with the right data structure and the right garment attributes, every retailer should be able to accurately predict return rates on a monthly and quarterly basis. This data approach also enables retailers to predict what products will be returned more than they should be and who the worst customers are likely to be and change how you trade these groups to maximise their profitability. And, if any retailer is struggling with resources, please do get in touch, we would be more than happy to help!
We have outlined our prediction below.
Happy January folks!
A Prediction from Dressipi
Our estimate on what this means for numbers and margins:
Assuming the same £100m retailer, we would expect return rates to increase to beyond 2019 number in Q3 and to start to normalise in Q4. Averaging out around 33% for the year. Assuming a 55% gross margin and no other changes to distribution and return costs then this business would require a further £3m of cash to service those extra returns.
Sarah McVittie, Co-Founder, Dressipi.