Denounce with righteous indignation and dislike men who are beguiled and demoralized by the charms pleasure moment so blinded desire that they cannot foresee the pain and trouble.
Read MoreKEmail Recommendation
Powered by Amazon Personalize product recommendations – the key to unlocking high-performance cross-sales and up-sales through truly dynamic email campaigns.
Drive Success with Tech Kasetti — Your Certified Salesforce Implementation Partner
eCommerce consumers come and go, it’s just the nature of the business, or is it? With eCommerce tools such as KEmail Recommendation, you can now hold on to your consumers for longer with enticing automated and personalized emails. The key to your success? Dynamic product recommendations.
To make the most of your automated and personalized emails you need to utilize product recommendations in your emails. Product recommendations are not just a tool for abandoned cart emails, they are also a strong indirect up-sell tool that can, and should, be included within your email marketing campaigns.
TechKasetti’s KEmail recommendations are dynamic, drawing on your actual real-time customer browsing and purchase behavior. The data generates relevant products with images, descriptions and prices for inclusion in your automated email campaigns.
Use different types of product recommendations for both cross-sales and up-sale opportunities. Your marketing strategy should include different recommendation types within each of your email campaign series, this helps you avoid duplicating messages and enhance your chances of capturing the attention of the email recipient.
Email Recommendations Implementation
How Email Recommendations Work
Email Recommendations enable you to observe customer behavior, build preference profiles, and deliver the next-best content or product. Sophisticated scenarios within the application enable you to refine recommendations to match your specific business rules. The platform displays recommendation content in placeholders across your website.
The system delivers Email Recommendations as pre-built image and link pairs and activates them when users open the email. We refer to email recommendations as open-time recommendations, meaning the logic and scenarios are processed immediately before they see the recommendation.
The platform pre-builds recommendation images using an HTML template that is used to style what one recommendation would look like. The system generates and stores each product or content recommendation ahead of time, to ensure that the image is instantly available. By pre-processing displays and logic for each product or content recommendation, we provide the most up-to-date recommendation without sacrificing performance when an email is opened.
Here is an example of the image generated and called via the link in the email recommendations. The link redirects to the page on the site while tracking the click:
Mobile-Friendly Recommendation Design
Each recommendation is an individual image, so if you needed four recommendations in a call, the HTML would include four image and link pairs. The platform maintains a consistent display format across all recommendations, so with open time recommendations, all four recommendations use the same HTML and AMPScript. Because the platform displays email recommendations as images, consider the mobile responsiveness of the design.
Expand the ways that your customers can discover your products and increase sales.
- Provide facility to define multiple recommendations with each recommendation having with multiple fields key-value pairs.
- Allows to define the recommendation period /duration for each recommendation.
- Activate or deactivate the recommendations.
Monitor your brand across all your channels to increase your marketing reach and preserve brand integrity.
- Better understand customer preferences and lifestyle through their order data.
- Evaluate banner advertisement exposure during broadcast events to drive higher ROI.
Increase the ways that you can identify your products to streamline sales processes and customer service.
- Identify the products which are out of trend or trending to streamline inventory restocking.
- Measure retail shelf-share to optimize product mix and represent top-selling products among competitors.
