Our research with shoppers shows us that Cloudshelves deliver when their purpose is clear.  This is most obviously the case when exposing a specific range.


Cloudshelf’s appeal to shoppers is that it is visual and intuitive.  These attributes need to be in-forced in choosing how to set it up in your store.

 

Examples of effective Cloudshelf


The following are examples where the retailer has a clear use case in mind, and used the Cloudshelf to in-force this.

 

Best practice set-up for a single Cloudshelf

  • A clear call-to-action

  • 6-18 collections

  • Each collection with 10-200 products

  • Consistent use of variant attributes in Shopify to make filters easy to use (eg avoid Colour, colour, color)

  • Define sufficient tags or product type attributes to help shoppers make their choice 

Encouraging discovery: Showing a precise range


You can build as many Cloudshelves as you want.  There is little benefit in trying to get everything on a single Cloudshelf.  Positioning your Cloudshelf next to a range to complement it can help.

 

A fashion store that has a range of jewellery  

Only part of the jewellery range is exposed in the store, with much more available online.

  • The Cloudshelf CTA is: discover our entire range of designer jewellery.
  • The owner has split the jewellery collection into sub-collections based on ‘product type’ attribute.


Jewellery Cloudshelf was created using specially created collections


                                                            Creating a new collection based on a given set of 

                                                                                         product types

                    
                   

A fashion store that has a range of homeware  

Only a tiny part of the available homeware range is available in store

  • Screen location: next to homeware

  • CTA:  Discover the rest of our homeware

  • Content: the retailer already had collections for candles, for decoration, for cookware…

 

A kids store that sells clothing and furniture  

Given size of furniture, most of it is only available online

  • Screen location: near main desk

  • CTA: hope our entire kids furniture range

  • Content: the retailer already had collections.

Encouraging fit: clear search criteria through wide range

At times, the range is visible, but the shopper cannot tell whether their fit is in-stock or available.  This is often the case with shoes, and products with many variants.

 

A women’s shoe shop with a large warehouse

Given the range, size variants are kept in the stock room

  • Screen location: between sofas used by customers

  • CTA: find your perfect fit this winter

  • Content: the retailers winter collections

  • Filters: tidied up size filters

  • Stock: extended Shopify to distinguish between stock in-store and in warehouse (in progress)

 

An electronics store to guide customer choice before getting products from stock areas

95%+ of product range is in back-room.  Cloudshelf is used to narrow down customers target before going to collect a product.  Mostly used by sales staff to help customers choose, though some use it to explore while staff serving someone else.

  • Screen location: on service desk

  • CTA: discover our entire range

  • Content: collections have been re-aggregated from website’s to make first screen selection easier.  for instance all midi controllers merged into one collection, and use of product type in filters to then allow easier filtering.


Combining both use cases:


A fashion store with a wide range of jeans

It is hard to judge how the jeans look while folded on shelves, or even hanging.  Cloudshelf fullscreen imagery allows shoppers to see how they fit before trying them on.

  • Screen location: next to jeans

  • CTA: find your perfect jeans

  • Content: jeans collection sub-segmented into 6 main fit collections