Personalized service in communication contributes greatly to encouraging consumers to buy from a brand.
People like to feel special and this is reflected in the way they behave on a daily basis.
Developing a personalized marketing strategy requires much more effort than directly addressing a segment of the audience. Each person must feel that the brand addresses them directly.
Some hugely successful personalized marketing campaigns in recent memory have left an indelible impact on our popular culture.
Personalized video in emails
Personalized video in emails, taking advantage of platforms such as Loom or Bonjoro, is an excellent personalization strategy that offers increased engagement. Personalized videos may only take a minute or so to record, but they offer enormous value to recipients, measured in more than just time. They are an excellent way of humanizing a brand, as well as creating higher open rates for campaigns implemented via email.
Year-end report of the Spotify
The report Wrapped end-of-year Spotify is a great example of personalization. Users are curious about their own listening habits and there's a fun element of disclosure. Social graph templates and personalized playlists make it easy to influence the platform's millions of users. The report also shares whether the user is in the highest percentage of an artist's fan base, adding a level of competition that can be shared.
IKEA AR app launched
The launch of IKEA in 2017 changed the landscape of personalized service in communication. Consumers were able to visualize IKEA products in their own space with full-scale 3D virtual products in the comfort of their own homes. Virtual experiences are the future of personalized marketing, offering fun, creative engagement tactics and maximum convenience.
Segmentation of prospects e new customers
Marketing teams can also segment potential clients during the onboarding process to support your personalization strategy. For example Owler, a provider of business analysis services, asks simple questions to get to know new free users, such as their job title, career path and reasons for joining the site. This makes it possible to segment the public by function and potential intention to use the platform.