Email product personalisation software – in parallel to your ESP
The product selection is personalised – to each consumer receiving it
Each email uses the language offered by the platform. The layout remains constant for familiarity, but the product selection changes depending on the demands and whims of the recipient, based on that individual’s browsing and buying habits. No two emails are the same and each one changes, as a new one is sent.
On-brand, consistent and 100% automated
Images and content come from your website so the consumer enjoys a consistent experience, of product images and the style they are used to. Likewise the language used is is the same, in line with the retailer’s preferences. If you have multi-language sites, each consumer receives that appropriate to the database relevant to them. We employ your words, emphasis, style, phrases and capture the essence of your website, as you use them to define your brand, that is specific to you.
With the greatest of accuracy, we utilise your content, in each email, created and sent. Being totally automated there is no possibility for error, deviation or omission. The emailed images only ever come from the highest resolution folder on your platform to ensure the greatest possible clarity and definition. Emails are sent directly via SendGrid from your server, with the ‘from’ address indicated as legitimately being from you. Setting up your DNS – Sender Authentication, to ensure Spam filter are avoided, is intrinsic to the installation. No two SwiftERM emails are ever the same, each is personal and unique to that unique consumer, changing constantly as their tastes do, throughout their lifetime.
To read more about the power of the SwiftERM stylesheet design, the investment involved, the volume of A/B testing conducted, and the overall effect that creates such enormous success, click the Liberty image on the left.
The recipient is named in a salutation if identified on your database
The lead item is the product with the highest buying propensity
This style sheet was the highest performing version used over a 10 year period across 3 blue-chip mail order companies, of it’s nearest alternative, and it remains constant
The body copy of the lead item is the full description not truncated, displayed together with the price
12 further products are shown as lineage only. Still the highest potential buying propensity ranked order, with price
The retailer may amend the signature panel to suit taste such as provide additional contact information or more touch points
All images are taken from the highest resolution folder for greatest clarity in HTML
If the recipient is not able to open HTML, the email is sent in plain text format
The subject line of the email is always the title of the lead item.
The language used in each email is taken from the the website and therefore appropriate to the recipient
All emails have individual and collective tracking codes from which browsing and sales data are captured
6 further display products appear next in order, each have a limited area of copy description, all show price
Selection of products is strictly by greatest buying propensity
A unique extra algorithm for 3 items that were most commonly bought by those purchasing from the selection above
Link provided so the recipient can adjust subscription or opt-out
A SwiftERM logo is included which links to our website
Trustpilot logo auto-added here if applicable
Intelligent software – that learns
SwiftERM uses a machine learning algorithm. That means every nuance and subtlety which influences each individual consumer’s buying decisions are maximized to the full to deliver the highest possible returns from each and every email. To ensure greatest accuracy every one has a series of tracking codes so that the recipient’s browsing and buying information can be monitored, to better serve future selection. This enables the retailer to appreciate the distinction of sales attributed to us exclusively, with transparency, clarity and accuracy. SwiftERM is intelligent software – it learns, it uses this information to better serve each consumer, using their behaviours which illustrate taste, preference, attitude and influence, to define their individual personality traits. It applies this knowledge to all future emails. Every detail is utilized, and as your relationship with that customer develops and their life preferences change, so too does the product selection they are offered. No two emails are ever alike, not even to the same person. This is state-of-the-art machine-learning that delivers the perfect results, selecting products for each email with the the highest possible buying propensity, and all this on a one-to-one basis with each individual consumer.
