In a bid to help e-commerce organizations recover lost sales, CartStack uses different techniques with their campaigns. They use A/B Split Testing to compare two versions of the same email and identify the best version to notify the users.
The test’s results help clients in determining a creative subject line and body of the email that can help bring them back to websites over time. A/B Testing helps to enhance the content of the email gradually and in turn, increase the engagement rate with the buyers. CartStack also offers an Enrich Contact Record (ECR) that gathers additional data of the users through third-party databases and creates compact profile pages. ECR provides qualitative information about the users and helps online retailers run email campaigns.
We focus on notifying the shoppers with the right message at the right time to bring the customers back to the website or checkout page
The unique value proposition of CartStack reflects best through the success stories of clients the firm has worked with. One of CartStack’s clients—an online toy store website—witnessed high cart abandoned rates. Even though the client’s site was getting high traffic, the conversion rate was low. Customers would search for their favorite toys, add them to the cart, and then leave without making a purchase. Moreover, there were instances when a specific product page often had many page views, but the users didn’t add that product to the cart before leaving the website. CartStack assisted the client by setting up an abandoned cart email campaign that gathered users’ information from the website and sent notification emails resulting in the client witnessing higher conversion rate. Additionally, by using CartStack’s reporting tool, the client could identify technical issues with the checkout form and fix the problem to provide the customers with a seamless checkout process.
Over the years, CartStack has gained expertise in bringing back the customers to proceed with checkouts of the abandoned products. In the future, the firm intends to make their offerings more powerful and customizable for clients by leveraging machine learning. Further, CartStack is working on widening their ambit to analyze the browsed pages, product pages, and category pages to improve their services and eventually bring customers back to the websites.