E-commerce for petfood purchases is changing and is further enhancing with machine learning.
This is one of the most interesting aspects of market development whose new systems allow to process large quantities of data and to improve the offer.
How machine learning works
Doing e-commerce on the threshold of 2024 does not just mean selling products online, but it means knowing how to manage the data of people who visit a sales platform and understand how to facilitate their purchases.
For example, through machine learning technologies it is possible to personalize every step customer’s shopping experience, from displaying tailored product recommendations and search results on the website to personalizing content and images based on each shopper's preferences so that the entire online shopping experience is unique.
In this way, purchases of dog and cat food can be increased by up to 40% because customers who purchase at least once and have a positive experience, they will do the same online path to find what they purchased before. If his homepage dynamically changes, you can not only speed up his purchasing journey, but by calculating how much time he normally takes to purchase, you can “push” him in repeating his first purchase.
Machine learning processes data to do many other actions. Let’s see below a practical guide on how to use machine learning from data collected by an e-commerce site
A winning and replicable strategy
There is a precise strategy that can be applied to replicate the success of the main e-commerce platforms dedicated to pet food. In some cases this strategy can be also used offline.
1. Customer segmentation
We can imagine very specific groups but at the beginning you need to start with three key groups: repeat customers, loyal customers and first-time customers. First-hour customers are those who have not purchased yet, returning customers are those who have made a previous purchase, and loyal customers are those who have made more than three purchases.
2. Returning and loyal customers
For loyal customers, you need to estimate their new order in relation to their previous purchases. One of successful actions that can work for customers who buy in a website, it is for example to show the image of the product they previously purchased, with the message "buy again".
Remember to optimize as much as possible smartphone experience and suggest other products based on the purchasing experiences of other users.
If I know that someone like me has added other products to the cart, I will be able to trust other shoppers similar to me more easily.
3. New customer strategy
For those who have an e-commerce site, viewing recommendations on best-selling products based on browsing behavior can impact up to 20% on the purchase conversion rate of those who visit the site.
The rule of showing what you are interested in first based on which page you visit is always confirmed.
4. Reach out to partners who can help people find your products more easily
When you introduce Adragna Pet Food products into your e-commerce, you can trust those who can give you texts optimized for online searches, images and videos ready to present your product. We can actively support you in managing an e-commerce dedicated to pet food
