Email Personalisation: Email hyper-personalisation, how powerful is it and how to do it? This should feature as every ecommerce marketer’s highest priority. By offering a hyper-personalised experience to your customers you can make sure that everyone feels like they’re the most important person in the world. You can give them a shopping experience that’s tailored to their specific needs and wants, and develop and close affinity that offers unprecedented value.
Hyper-personalisation is the process of tailoring a shopper’s online experience based on their individual needs and preferences. This can include things like customised product recommendations in emails optimised and timed to suit their lifestyle, targeted ads, and personalised landing pages.
Hyper-personalisation takes this even further, by using each shopper’s captured data to identify exactly what products that individual is most likely to purchase next. What’s more, it then takes that selection and employs it, to know when that purchase is most likely to take place. It then ensures maximum capture (read profit) by sending them their selection by email at exactly the perfect time.
Why does email personalisation have such a high return?
First, it makes shoppers feel valued and appreciated. This can encourage them to return to your store again and again, as well as recommend your business to their friends and family. McKinsey offers that it delivers 20x the return of segmented emails and omnichannel marketing combined.
Personalised experiences also increase customer engagement, and build a loyal customer base for your brand. A whopping 45% of site visitors are more likely to shop where they enjoy being offered personal recommendations.
Where there are sales, there is revenue growth. Brands that achieve this top level of personalisation have seen their revenue grow by 38%.
By understanding which products and services appeal to each shopper, PPS better tailors your offerings to meet their needs. This leads to increased conversion rates, and higher basket value, boosts your revenue stream and deepens the loyalty between your consumer and your brand.
Ecommerce personalisation leads buyers through the customer journey, by enhancing brand awareness, aiding product discovery, and building a trusted brand that has customers coming back again and again.
Did you know that hyper-personalised emails deliver 6X higher transaction rates? Six times!
Companies that focus their efforts on catering to the personal needs of their customers have seen an increase in ROI by as much as 300%.
How to start with ecommerce email hyper-personalisation
Many companies are trying to figure out how to incorporate email personalisation, but they often get it wrong.
Today up to 71% of customers surveyed now expect a personally catered shopping experience and are more likely to become frustrated if they don’t get it. This makes it critical for your business to get your personalisation sorted quickly.
You make sure you have the right technology and tools in place. Several different software programs can help you collect data and then use it to create personalised experiences. But only PPS solutions, which run wholly autonomously, ensure data accuracy and zero corruption at any point.
After all, an artificial intelligence computer required no holidays, weekends or evenings off. It doesn’t need to go to the toilet or need a coffee break mid-morning. It doesn’t forget your latest products, and neither does it ever forget the individual consumers for whom it is preparing a product selection based on that individual’s taste.
The offset for this total lack of human involvement, negates opportunity for creativity in your emails, as it is solely interested in delivering product selections. However, as this drives the highest ROI in ecommerce marketing today 20c more than everything else combined, this should not inhibit your immediate installation.
Plus it is further compensated for because it doesn’t include any personnel by the maximum GP, After all, do you know how much your ecommerce staff cost?
Conclusion
Finally, ecommerce PPS is something you can set and forget. It’s an ongoing process that automatically monitors and adjusts. As your customer base changes and grows, so too do their needs and wants. Once installed you have the luxury of knowing it doesn’t need a chaperone.
Further, that it is delivered to your consumer’s inbox negates such rigorous comparison on each product’s price too. An email stands alone in their inbox, it doesn’t offer the opportunity for the consumer to have anything to compare it with.
It benefits from an established belief made by each consumer having previously purchased from you, that it is a “given” that you have already past the price comparison test, likewise quality, delivery etc. You have already won their trust hence the reason you are their preferred go-to brand.
Email Personalisation: the current operational framework
Email Personalisation can now be considered through SwiftERM’s autonomous individualisation. Product relevance is recalculated for each identifiable customer from that customer’s own behavioural and transactional evidence, rather than being assigned by a fixed segment, campaign or predetermined journey. This distinction matters because an individual’s interests can change between visits, purchases and periods of inactivity. A current decision therefore needs current evidence.
SwiftERM evaluates the products that are becoming most relevant to each person and applies that decision autonomously. The operating model does not depend on a marketer continually creating segments, selecting products or scheduling another campaign. It is designed to use first-party behavioural and transactional signals already associated with an identifiable customer, so the decision remains specific to that customer rather than a broad cohort.
For Email Personalisation, the practical test is not whether a retailer can create more rules. It is whether the system can recognise a change in an individual’s buying intention, reassess the available products and act without waiting for a manual campaign cycle. The output must remain traceable to the customer evidence and the ecommerce catalogue used to make the decision.
Implementation also needs disciplined data handling. Product identifiers, availability and customer events must remain consistent enough for relevance to be recalculated. Existing ecommerce operations should retain control of catalogue truth, order truth and customer permissions. Autonomous individualisation then operates within those established boundaries instead of inventing a parallel customer record or an ungoverned product feed.
The commercial value of Email Personalisation should be assessed through observed customer response, orders and turnover, not through the volume of campaigns produced. That keeps attention on whether product selection becomes more useful to the individual and whether the retailer captures demand that would otherwise remain unrecognised. It also separates autonomous decision-making from conventional automation that simply executes a previously written rule faster.
This current framework preserves the original article’s subject while bringing its explanation into line with SwiftERM’s present capability: one identifiable customer, individually recalculated product relevance, and an autonomous decision made from that person’s own changing evidence. The same principle applies as catalogue choice, customer behaviour and commercial conditions continue to change over time.
In operational terms, the retailer retains the commercial context while the software performs the individual calculation. That division is important: the catalogue and customer record remain governed business assets, while product selection responds continuously to evidence rather than to a static assumption made when a campaign was first configured.
