hyper personalised email: A New Survey of 2,000 Consumers in North America Reveals that 41% Would Like to Hear From Brands Weekly—and 32% Say They Will Shop Elsewhere if Brands Send Them Irrelevant Messages.
MoEngage, the insights-led customer engagement platform, today revealed the results of a new survey focused on consumers’ expectations of how brands leverage hyper-personalised emails to interact with them. The report, The Personalisation Pulse Check Report 2024, polled 2,000 consumers across North America to learn more about the kinds of messages customers expect to receive from their favourite brands, how often, and which engagement channels they prefer. The results underscore deeper hyper-personalisation’s increasing role in engaging customers and fostering long-term loyalty.
It reveals that consistent, relevant messaging across multiple channels was the number one challenge for consumer brand marketers. This year’s report shows that customers prefer to hear more frequently from brands than previously believed, provided that the messages brands send them are hyper-personalised with relevant offers, discounts, or loyalty rewards. 41% of North American consumers surveyed said that they wish to receive regular updates from their favourite brands, and 58% of consumers are frustrated with brands that offer generic and inconsistent messaging.
hyper personalised email: Hyper-personalised emails
Finding the solution to winning customer loyalty can be daunting for brand marketers. To do it well, marketers need to leverage customer data based on prior browsing and shopping behaviour to inform their customer engagement strategies. Consumers are making it clear what they want and expect from brands. It’s up to marketers to deliver that experience to keep them coming back.
Overall, there are still more improvements brands must make to ensure they are delivering a consistent, hyper-personalised experience for consumers. According to the research, 31.9% of consumers are frustrated by brands that send too frequent or too few communications. Most consumer frustration stems from a lack of strategic customer engagement. Additionally, the research found:
- 32.3% of consumers choose one brand over another if the communication is unrelated to their current shopping behaviour
- 53.6% of consumers interact more than three times with a brand before buying from them
- 56% of consumers want a curated shopping experience
- 66% of consumers are comfortable or slightly comfortable with sharing their data in exchange for hyper-personalised emails.
The report also sheds light on:
- Attributes that delight consumers about a brand experience
- Factors that lead consumers to choose one brand over another
- Leading indicators of the number of engagement touchpoints and preferred channels of engagement before buying
- Viewpoints of sharing personal data in exchange for hyper-personalised emails
See this crucial software comparison article:
Distinctions between all the top hyper-personalisation software providers (Updated)
Relevant independent context is available in more hyper-personalised your content.
hyper personalised email: the current operational framework
hyper personalised email 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 hyper personalised email, 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 hyper personalised email 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.
