Are you still “helping” your customers to discover their correct shoe size by presenting them with size charts during their online booking process? Stop right there. Not only are charts some of the most unhelpful shopping tools around, but they can also cripple your UX, conversion rate, and brand reputation.
As shoe retailers know too well, each customer is an individual. That means every single shopper that visits your website has their own specific needs when shopping online. The question of whether they actually buy from your brand will be determined by how well you meet their particular expectations and needs.
Let's be honest - any time is a good time to make more money. As we move into the final sprint before Christmas, you might be wondering how you can make small changes to boost online footwear profits before seasonal sales and special offers absorb all of your attention.
Buying shoes is going to look very different, very soon. Two of the main drivers behind this transformation are likely to be machine learning (ML) and artificial intelligence (AI), cutting-edge technologies that are already disrupting industries all over the map. The footwear industry is no exception to this. Today, we’ll be taking a look at exactly how machine and deep learning is revolutionizing online footwear retail.
It’s an exciting time to be in footwear. With the global market predicted to hit $371.8 billion by 2020, if you have a shoe brand, you’re in a great position.
Getting your shoe size right, especially when you purchase footwear online, seems like a task that is impossible to get right.
Big data can help solve shoe sizing issues
What if all footwear brands joined forces in a global collaborative project to get the sizing inconsistencies resolved?
Your primary concern in online retail is to balance these two critical success factors: customer satisfaction and keeping return rates low.