All female clothing, male clothing, and shoes. Exceptions: Accessories (such as belts, hats, bracelets) and kids categories. We also have experience working with pre-owned and vintage fashion, ethnic wear, and non-branded items.
In most cases support for new items is automatic based on historical data about orders, returns, and catalog analysis. Newly launched brands and items can be configured inside the app, here's a tutorial video on how to do it.
Absolutely, you can! In order to integrate Fit Quiz we require that you share some additional information with us based on the fit and sizing information of the different products in your store.
Over the years we have done vast amounts of research to identify key characteristics for shoppers buying clothing and footwear online.
Unlike other sizing solution, Fit Quiz focuses on shopper’s individual style and fit preferences, rather than simply comparing body measurements (or weight) to garment measurements. This means, that shoppers are not asked any sensitive or time-consuming questions; and brands are not required to share size charts or garment measurements.
Instead our algorithm analyses orders & returns data, product catalog, onsite behaviour, post-purchase feedback and reviews. In addition, brands can provide supplementary insights about styling and fitting of their items.
Let's say, a new client from Germany wants to buy an item, and she may tell us that she usually wears medium-sized tops, but sometimes has better luck when buying large, while also often struggling with chest fit. We then look into the item performance across other shoppers, apply data relevant to her answers, taking into account both user's and item's countries of origin. In that way we ensure that we use every single bit of information available to recommend a size that fits best with her preferences.
Our Machine Learning algorithm analyses shoppers feedback and calibrates size and fit recommendations based on expectations and experiences that other shoppers had. The algorithm identifies how to adjust a recommendation based on every answer that we get from a shopper by finding correlations between expectations and outcome of all other shoppers with similar answers.
Easysize can easily integrate with Shopify, Magento, WooCommerce, Prestashop, Shopware, and any other e-commerce platform.
You will pay a monthly fee based on the plan you have purchased. For further information on our plans please visit the pricing page. Brands on Shopify will be charged directly on Shopify. All other brands can pay via a bank transfer or payment (powered by Stripe). Additional annual and 6-months plans are available.
Our Fit Quiz app is public. You can start the integration process directly from the Shopify App Store here:
Fit Quiz on the Shopify App StoreWhen you first install the Fit Quiz app, you will be introduced to the category selection step; we've prepared a quick video to guide you through this process.
Categorisation is just the first step of Easysize setup. The next step is to create the sizing models. See the How do I create sizing models? section on how to add new sizing models.
Just like with categorisation, scroll down to the product list, select items you want to assign to your new model and click the ‘Assign to a new model’ button. Give the model a name and save it.
You can either choose one of the presets we have prepared based on the most common settings.
Or alternatively you can go into Advanced configuration and move the handles around until you find the correct configuration for your items. The personas on the bottom are some of the more common edge cases that cannot decide between their sizing. The recommendation field gives you direct feedback as you configure your sizing models on what recommendation Fit Quiz would give to your customers.
In order for Fit Quiz to appear on a product, that product has to be categorised, assigned to a model, and have that model calibrated. If you can tick all these boxes and you are still not seeing our button, please reach out to us at support@easysize.me, quoting your Shopify domain in the subject.
If you haven’t had the chance to update to the new 2.0 themes in Shopify, don’t worry we have got you covered!
The integration might be a little more tedious and it is harder for us to automate this process, but we are always happy to help you out.
When you integrate Fit Quiz on a liquid theme, we will create an easysize.liquid snippet in that theme. That snippet has to be included in your product.liquid template using the following: {% include 'easysize' %}.
Please confirm that this snippet is there, and if it is not, you can simple copy and paste the above to the end of your product.liquid file.
If you have included the snippet and still do not see Fit Quiz button on your page, please reach out to us at support@easysize.me, quoting your Shopify domain in the subject.
You can integrate with a JSON theme directly through the Shopify Fit Quiz admin panel. Follow the instructions in the video below.
You can fine-tune your Fit Quiz plugin to fit and your brand’s unique identity and your website’s look-and-feel. You can select your own custom icon, color and fonts. You will also be able to choose the language of your preference as well as personalize the Quiz for each product category.
In most cases we suggest not editing the algorithm's recommendations as they are based upon machine learning using vast amounts of data and are very accurate.
However, if the items in your shop have some unique characteristics that should be taken into account, please contact our support team for a solution.
Brands on our Premium plan are able to edit phrasing of the questions in Fit Quiz but the nature of the questions must remain as in the original copy.
Brands can add new questions when needed for a particular product.
We are continuously working to provide you with insights that will help you make better business decisions. We offer different types of reports depending on your pricing plan.
1. User engagement dashboard
2. Monthly sales & returns report
3. Custom in-depth report
The dashboard is available for all shops on Shopify across all the pricing plans. It's updated every 24 hours.
Metrics included:
- Number of predicted sizes
- Number of items added to cart with the recommendation
- Basic user funnels
- Conversion to add-to-cart
- Size recommendations out of stock
The report is shared in a .pdf format with shops on the Pro and Premium plans on a monthly basis.
Metrics included:
- Gross sales with and without Fit Quiz
- Number and Share of orders with and without Fit Quiz
- Product coverage
- Detailed report with Out of stock recommendations
- Basic returns analysis (based on Shopify returns data)
- Recommendations on the performance improvements
The report is shared in a .pdf format with shops on the Premium plan on a monthly basis.
Metrics included:
- Detailed returns analysis via integration with return management platforms
- Reports by categories/SKUs
In addition, our team can perform other custom analysis based on your shop's needs.
Current benchmarks across similar brands will be included in your monthly reports
Fit Quiz is GDPR- and CCPA-compliant; we do not use any sensitive personal information like weight, body measurements, etc.
We track certain events to continuously improve performance of Fit Quiz and measure its impact on your business. For example, we monitor how shoppers interact with Fit Quiz: their answers, how much time they spend in the Quiz, which buttons they click etc. We also analyse whether whether Fit Quiz’s recommendation leads to a purchase and a return. This helps brands evaluate Return on Investment from using Fit Quiz: number of purchases made with the recommendation, impact on sales and returns.
Your historical data of orders and returns plays a crucial role in our algorithm and ensures that the algorithm understands consumers unique behaviour and supports all items that your shop sells. We use this data to analyse your shoppers' behaviour better and add all items you sell to our database. We don't ask for any sensitive (credit card info etc.) and personal information (shoppers' names, addresses, emails etc.)
