Relative sized pictures - Give a sense of relative size by having the item by a common object or worn by a model.
Image diversity - Include pictures from different angles to give a complete view of the product.
Incorporate social proof - Because images russian phone number list are often the first element on the page to be seen, you should aim to incorporate social proof into some of your images.
Clear carousels - It is easy to overlook the carousels. Great product page designs make it obvious that there are more images to explore.
Detail product variations - support customer understanding of different product versions such as colors, sizes, or add-ons.
Below we pull out how Target optimizes their product page images.
Product Image Design Best Practice 1: Zoom with pointer
Details matter. To help customers see and understand their products, Target enables an intuitive, easy to use zoom feature on all of their product images.
Simply hover over the image and it will be resized, allowing you to inspect any part of the image you'd like.
Many products have variations.
You should change the featured images to match the product attributes selected.
Calculate Customer Retention Rate: 2 Necessary Quesitons
Before you can calculate your ecommerce retention rate, you need to answer 3 Necessary questions.
Question 1: What Is a Retained Customer?
A "retained customer" can mean a lot of things.
Typically, a retained customer in eCommerce is an active one. But what makes a customer active?
Is it someone who engages with your email campaigns? Or is it someone who has bought in the last 12 months? Or is it someone who has generated a certain amount of revenue?
Ultimately, you need to define a hurdle previous customers must achieve to be considered active. I recommend using real purchases or a certain revenue threshold.
Question 2: How Can You Segment Your Retained Customers?
Finally, you want to predefine what segments you can create.
Hopefully, your store is using a customer data platform to tie purchase data across channels. If not, you will need to download transaction data from each channel and tie them together.
Once you have a complete data set, you can segment your customers across a number of dimensions. Some of the most popular are: