PERSONALIZATION IN MARTECH

• Personalization has to be done carefully, however. A recent Gartner study found that 38% of customers would stop doing business with a brand if "they find personalization efforts to be 'creepy'."
• The same Gartner study also found that companies who "are investing in online personalization technology are outselling their counterparts by approximately 30%."

CONSIDERATIONS IN PESONALIZATION STRATEGIES

•  Engagement — A 2017 study from Epsilon found that "80% of respondents indicated they are more likely to do business with a company if it offers personalized experiences and 90% indicated that they find personalization appealing."
•  Relevance — Get the right message delivered at the right time. "Consumers who believe personalized experiences are very appealing are ten times more likely to be a brand’s most valuable customer."
•  Brand Trust — personalization will work best when combined with brand trust. The Epsilon study indicates that "respondents who believe companies are doing very well on offering personalized experiences shop more than three times more frequently."

IMPLEMENTATION

•  48% of companies are choosing to utilize one "platform (one primary martech vendor, augmented by specialist providers) over a suite (the whole stack comes from one martech vendor)."

AWARD-WINNING TECH STACK PROVIDERS

• BlackRock Marketing Tech Stack
• Earth Networks Marketing Tech Stack
• Cisco Marketing Tech Stacks
• Janus Henderson Marketing Tech Stack
• Element Three Marketing Tech Stack

EXAMPLES of PERSONALIZED MARKETING TECH

• The Westfield shopping complex in Shepherd's Bush, London has "cameras in and around the mall which use facial recognition technology to determine the age, sex, and even the mood of the shoppers as they move through the buildings. Based on what the system learns, it can then display different ads on the various digital billboards around the mall in order to maximize consumer response."
• Amazon and Netflix have built highly effective personalized recommendation engines which "work so well that they've catapulted these companies ahead of the rest, because of the way in which they're able to personalize your experience so well when you use these platforms. They know almost exactly what I want to buy or watch next, and can be so accurate that, at times, it feels like they're reading my mind.