All this is possible when you use the right Shopify apps for personalized size recommendations

Many fashion brands focus heavily on attracting new customers through marketing and social media. They often overlook the importance of retaining those customers and creating a loyal base.

Instead of fostering long-term relationships, brands often prioritize short-term sales goals. Promotions, coupon codes, or a sense of urgency (usually: highlighting limited stock). On paper, these tactics sound good – they will spur impulse purchases, driven by what we call FOMO (fear of missing out). In reality, they often lead to a fashion brand’s biggest enemy:

Higher return rates and low customer loyalty.

The reason why is quite simple, really. These purchases were not driven by genuine need, interest, or cultivated brand awareness. They were driven by emotion. Once the initial excitement fades, customers experience buyer’s remorse. Soon, returns follow, as well as the risk of diminished customer satisfaction.
Additionally, brands may not invest in personalized shopping experiences, which are crucial for making customers feel valued and understood. When customers don’t feel a connection with a brand or don’t receive a tailored experience, they are less likely to return or remain loyal.

Brands that fail to address these aspects often struggle with inconsistent sales and lower customer retention, even if their products are high-quality and they have a strong online presence.

A robust marketing strategy drives sales and growth. The best Shopify apps are those that help you achieve this with ease.

Example of a successful solution for decreasing return rates and building customer loyalty

The truth is that… most fashion brands struggle with high return rates due to the 3 main reasons why clothing does not fit:

1. Clothes might be the same size, but their pattern is different!

Clothing size depends on both the fit of the clothing and the elasticity of the fabric. People rarely take this detail into consideration when they order clothes online. This intricate combination of factors is one of the main reasons why customers see themselves jumping between different sizes all the time.

2. Clothes might be the same size, but women’s bodies are different!

Even though clothes are labeled with the same size, women’s bodies vary widely in shape and proportions. This means that a size 8 dress might fit well on one woman but be too tight or loose on another due to differences in body shape and design cuts. Inconsistent sizing standards and fabric elasticity further complicate finding the right fit. As a result, customers often struggle to find clothing that suits their unique measurements, leading to frustration and higher return rates.

3. Clothes might be the same size, but the suppliers are different!

Even when clothes are labeled with the same size, the fit can vary significantly because different suppliers use their own sizing standards and patterns. Each brand may have its own interpretation of what a “size 10” should be, leading to inconsistencies in how clothes fit. This discrepancy makes it challenging for customers to find the right size, as they cannot rely on uniform measurements across different brands. Consequently, this variability often results in confusion and frustration for shoppers trying to find clothing that fits well.

When you consider these reasons, it becomes obvious that finding the right clothing size can be a complex and frustrating experience for customers due to inconsistencies in both body shapes and sizing standards across brands. This complexity underscores the need for more reliable and standardized sizing solutions, as well as personalized fitting tools, to personalize shopping experience and reduce the likelihood of returns.

How can I choose the right size recommendation tool?

A glimpse into standard size finder tools

Existing solutions resort to three main methods. Some analyze past customer purchases. Others match size guides across brands. A third group bases recommendations on customer data with similar height and weight profiles.

These methods don’t work for a reason

Past Purchase Analysis assumes past choices reflect current sizing, ignoring changes in body shapes and measurements. It overlooks how fabric elasticity and clothing design affect size.

Brand Size Matching faces inconsistencies in cross-brand sizing and makes accurate matches challenging over time.

Customer Input and Comparison looks appealing on paper. However, it doesn’t ensure accuracy as it’s based solely on height and weight. Individual body shapes and fit preferences remain overlooked, leading to unreliable recommendations.

And now the question is:

“Then which size recommendation tool should I use?”

Let me introduce you to…