Posted on: Friday Jan 14th 2022
Article by: Natalia Palacio
ARTICLE
Personalization is a well-established way for brands to build loyalty and deepen customer relationships. At a rudimentary level, personalization is not very personal – as in a generic mass email with the customer’s name at the top, or images that show diverse people to ensure that members of different groups see themselves reflected.
But technology is now allowing brands to create ever more closely customized offerings for customers, developing “hyper-personalized” messages and using predictive analytics to anticipate customers’ evolving needs and tastes.
Leading practitioners of hyper-personalization such as Netflix and Amazon are raising customers’ expectations by using real-time data and artificial intelligence to feed users exceptionally relevant offerings based on search and browsing history, past choices and habits. To meet these higher expectations, other brands are seeking to use the same tools to:
More personalization demands more data – so trust and transparency are key
Some firms achieve hyper-personal messages and offerings using large and diverse databases. Google’s data sets are so vast it’s hard to imagine a question they couldn’t shed light on. Other firms – say, the meditation app Headspace – might hyper-personalize just as effectively but in a narrower sphere of activity: tailoring content to users’ personal goals and schedules, and helping to nudge people back on track when they drift from their stated intentions.
Most consumers welcome the convenience and control of personalization. Most also recognize that to obtain a seamless experience with their favourite apps and websites they need to share some personal data.
For firms seeking to deepen relationships through hyper-personalization, it’s essential to be transparent and trustworthy in their data management practices, explaining exactly what they’re collecting and what that means for users. Sharing personal information is an act of trust – and the smallest hiccup can create a sense of betrayal, quickly destroying the loyalty that was the whole purpose of collecting the data.
In addition to being transparent and trustworthy (not only being honest, but having strong cybersecurity protocols to protect user data), firms should think hard about which data they really need in order to achieve their goals, developing a clear rationale for what they collect and why. Remember that some forms of data are more sensitive than others: many users are highly protective of their banking information, for instance.
Do customers really want a personal touch?
Most do. Provided that brands manage the privacy-personalization balance honestly and effectively, research shows that cutomers welcome tailored messaging, and appreciate features like a customized homepage.
What defines effective hyper-personalization?
Customers need to feel the benefits. Hyper-personalization begins to build loyalty when it delivers value in the form of things like customized products and services, loyalty programs that reward customers according to their specific preferences, or opportunities to tailor their profiles so they have faster access to information and products of interest.
Brands should bear in mind three key pillars of effective hyper-personalization:
Having the sense that a business knows a lot about you is not useful in itself, and might even be unnerving. But hyper-personalization can become a win-win for brands that stick the most important principle of all: keeping the customer’s needs, priorities and experiences top of mind.
To better understand customer expectations and how to grow brand loyalty, download our
Delivering Frictionless Commerce
report.