Customer acquisition strategies can be costly, and it will always be cheaper and easier to convert an existing customer than to convert a brand-new customer. With this in mind, it is becoming clear that brands should prioritise customer retention as they grapple with ever-changing consumer trends.
An intelligent data lake is a central, structured, and integrated database. It’s where you can obtain information through analyses and then make informed decisions. For marketers, the data lake solves the challenge of providing the total customer experience, by answering several questions:
The pandemic unleashed the largest human behaviour change at scale - ever. Technology became our lifeline for human connection and creativity. While we were hibernating and re-thinking, machines kept learning to do more of the menial so we humans could do more of the meaningful.
While the digital transformation race is still on and the pressure to change your organisation remains daunting, “think like the customer, understand what they want, how they want it and when they want it…” is the fundamental point. A business is still a business and the business still need to sell products.
Each year, Merkle refines and distills of our learning, vision, and experience with clients from numerous industries. Since 2012, our Imperatives Series has served as a guide for creating competitive differentiation through marketing strategies that revolve around the customer.
The previous post talked about the early stage of cloud planning. Now, let’s discuss when cloud planning starts to get real by using a specific example to tell that story. At the end of cloud planning, you start to dive into the first pilot project that will launch your cloud initiative.
For Insurance and Wealth Management marketers, the prevailing trends that existed before the pandemic were not sidetracked but, instead, were accelerated by an industry that took stock of the unparalleled change caused by the pandemic and generally took the opportunity to re-think strategy.
You have probably heard the terms customer data integration (CDI), ID stitching, and ID management all thrown around somewhat interchangeably. The reality is these are all pieces of the pie known as ID resolution.
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