TrustRadius Insights for SwiftERM are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.
Business Problems Solved
Users and developers highly recommend SwiftERM for its time-saving automation of segmentation and analysis of profiles and email design content. By analyzing consumer behavior, the software generates a significant portion of online turnover, with some users reporting over 22% of their sales coming from SwiftERM. Its ability to capture a high proportion of abandoned purchases and accurately recommend products in email content makes it an effective tool for increasing sales and enticing e-commerce visitors to buy or make another purchase. The software outperforms other email marketing platforms and is cost-effective, making it a popular choice among businesses. Additionally, SwiftERM allows businesses to regularly update customers with products and services automatically, enhancing customer engagement. Despite some early issues, users have found SwiftERM to be a valuable tool that runs perpetually in the background and drives revenue, especially when supported by the helpful staff at SwiftERM who offer good ideas to improve websites.
SwiftERM is a totally automatic email marketing system that runs perpetually in the background of our website. We use it in addition to MailChimp. It analyses every impression and purchase our consumers make on the site and uses a predictive analytics algorithm to calculate their next most likely purchase, from which it populates a different type of email and sends it. We don't need to employ anyone to run it as it is 100% automatic. It generates around 22.78% of our total online turnover.
Pros
Automatic email marketing
Predictive analytics
Publicises our Trustpilot product ratings
Cons
Introduce an SMS version
Making the reporting system more idiotproof
Likelihood to Recommend
SwiftERM only works on specific ecommerce platforms including Magento, Shopify, Woo Commerce, and Opencart. It is intended for regular communication with consumers who visit that retailers site more often. so it works well for food and drink, fashion and pet food etc. People selling beds or something which you buy less frequently would get lower returns.