Hyper Personalization Strategies
Deliberate Approach to Customer acquisition
Do you appreciate a personalised experience of a compelling product and service that you use on recurring basis
Which brand pops in your head when you think of the word: Happiness/Confident/Inspired /Good.
Close your eyes and think about the last time you had a personalised experience and how it made you feel.
A personalised experience builds goodwill, increases customer and brand loyalty, and brings a smile to your face.
What is Hyper-Personalization?
Hyper-personalization leverages Artificial Intelligence, Augmented Analytics and real-time data to deliver more relevant content, product, and service information to each user. This approach takes personalized marketing a step further.
Be a Hyper-Personalization Early Adopter
The graph shows that only 9% of marketing influences have completed the hyper-personalization strategy.
These are the indeed early adopters.
Perhaps, the majority of totalling 62% are either just talking about it or haven’t done anything about hyper-personalization yet.
Top Priorities for Hyper-Personalization — Make a Difference in What Matters the Most
Improving the customer experience and applying data insights to decision-making are top priorities accounting for 60% and 51% of marketing influences, respectively.
Any time you can improve the customer experience, you will reap the benefits.
The more data you have about your audience, the ability to understand and learn from the data, and the skill to apply what you learn to customize the experience, will help you improve your marketing performance.
How Successful is a hyper-personalization strategy at achieving top priorities?
While half (50%) of marketing influences consider developing a hyper-personalization strategy somewhat successful, more than one-third (36%) consider it a very successful way to achieve top priorities.
What are the most challenging barriers to the success of a hyper-personalization strategy?
Applying data insights to decision-making is a challenging barrier to the success of a hyper-personalization strategy according to a 53% majority of marketing influencers.
Staying the confinement of the data could be potential barriers to understand your consumer more.
The Most Effective Apps for Your Hyper-Personalization Strategy
Tactically, the AI-powered applications used most effectively in a hyper-personalization strategy are predictive analytics, user experience (UX) and content creation/curation apps.
An application that is more effective than difficult to deploy (predictive analytics, for example), is more likely to be included in a hyper-personalization strategy than an app that is more difficult than it is effective (open-question chatbots, for example).
Comparing below the Most Effective v/s Most Difficult apps to deploy Hyper-Personalization
Indeed Hyper-Personalization Works!
A total of 86% of marketing influencers consider the effectiveness of an AI-powered hyper-personalization strategy to be changing for the better, with nearly one-third (31%) considering the change to be significant.
