Analytics for fashion brands with physical stores
Using analytics to a brand’s advantage is tricky enough when you’re online-only.
But throw physical stores into the mix, along with multiple teams across different markets all doing things their own way, and you’ve got a recipe for confusion – and an impossible-to-automate system.
If you’re not getting the results you want from your analytics, we’re betting you’re struggling with some or all of the following:
You don’t use analytics to bolster your physical stores’ sales
Did you know that up to a quarter of shoppers look up product reviews on Amazon when they’re standing in a bricks-and-mortar store? Well, sure, you could probably have guessed that. Maybe you’ve even done it yourself. But that’s by the by. The important thing here is – are you using this info to your business’s advantage?
On the face of it, it’s not necessarily a good thing. It’d be much better if people would just buy the thing without consulting an outside source (*sigh*). On the bright side, this behaviour provides you with valuable information – if you know what to do with it.
We’ll work with you to ensure that your in-store technology feeds into your analytics platform, allowing us to track things like in-store behaviour, what shoppers are looking for in your inventory (in-store and beyond), and the content marketing passersby are seeing on their phones.
They don’t call us McGarry using-analytics-to-boost-sales-in-stores Fashion for nothing. (Or at all, in fact, but let’s not dwell.)
No one’s on the same page when it comes to your analytics
No one wants to admit they don’t know what your analytics mean or what they’re supposed to do with that info.
But there’s probably a lot of people in your business who feel this way. Like, a lot. You can’t blame them, though. It’s a common problem among established brands with physical stores.
Chances are, your analytics team don’t realise that other people don’t understand the tracking, reporting and insights they’re deeply familiar with. The curse of knowledge and all that. We’ll talk to your less analytically inclined employees (so, that’s most of them) to find out what they know and what they don’t, and then we’ll create new, simple processes that allow them to make better decisions faster.
Your analytics processes are currently impossible to automate
Different teams doing things different ways makes automation damn near impossible. Which is a shame, because automation is a really great way to save money (other ridiculously obvious business advice available on request).
Aaaanyway, there’s no denying that this lack of standardisation makes your approach to analytics inefficient. Insights shouldn’t take this long to filter up to the C-suite or down to the teams in the trenches, you know? And they don’t have to.
We use APIs and automate processes that could save you hundreds of hours every month across each of your markets. If it involves data, requires manual action and repeatedly takes up a hefty slice of your team’s time? We’re here for it. And when we’re done, your in-house team will be free to do the work that really matters: gathering delicious, delicious business intelligence.