Big data gives way to more flexibility

by WarriorForum.com Administrator
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A new article on Search Engine Land reports that more data is only half the battle as marketers recognize the importance of usability at scale.



Consumers continue to shift to digital-first lifestyles at unprecedented rates. In order to get in front of these audiences, brands began to realize that they needed to show they cared. That consumers deserved one-to-one experiences based on their own interests. They deserved individualization. The solution to this seemed simple. More data. The bigger the better. While the power and scalability of this Big Data was undeniable in terms of interacting with consumers, it also presented previously unforeseen issues like accessibility and actionability.

The acceleration to a digital-first culture has certainly increased our ability to be agile. But in this pursuit, we've also cultivated complexity. Multiple project management apps, an email vendor, landing page host, direct mail solution, the list goes on. Today, marketing teams work with dozens of different tools to make their lives easier. But as each solution is adopted, the tech web becomes harder to navigate.

Big Data should flow. Agglomerating data is a big step. So big, in fact, that many marketers stop here. But this is only half the battle. At this stage, the data is essentially a black box, only seen or understood by a few. In order to unlock its true power, it's important to make the data accessible and actionable everywhere. To achieve this, it's important to work with a partner that can play well with the systems that are already in place. The aim of the CDP is to scale and improve upon what internal teams are already doing while providing them with a uniform look at all customer data.

How to unlock the value of your data

We've discussed some issues that can arise from Big Data and why it's important nonetheless. With that in mind, here are a few ways that marketers can use current marketing technologies and strategies in order to make the most of their data.

Ensure low- or no-code functionality: One of the more grueling aspects of data management is just that: the management itself. Exporting and importing data, creating charts, pulling specific accounts. It can be daunting. Work with tooling that enables marketers to drag, drop, and autofill many of these elements to empower them to dig into the data more readily.

Pair first-party data with intent: Both first-party and third-party data can effectively engage and convert target audiences. But relying on one data set over the other would be a mistake. First-party data is an amazing way to find insights about the products or services consumers are most interested in once they come to your site, but it doesn't extend much beyond that. Enrich your first-party data with third-party to get more insights into consumers' overall online behaviors, actions, and interests.

Invest in cookie-less identity resolution practices: The deprecation of cookies isn't quite here yet, but it's an inevitability with Apple and Google's announcements last year. Because of this, it's important for marketers to develop a multifaceted approach to identify and engage with customers across all marketing channels and in each stage of the sales funnel. The most powerful way to do this is to continuously and automatically enhance your first-party data with rich, third-party data that tells you how consumer attitudes are shifting in real-time.
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Don't separate learnings from action: In other words, don't make things too complicated. CDPs are great at connecting data, but the next step is to get it into the hands of those who will actually be using it. Analytics tools are great for those who delve into them on a daily basis. But the real power comes from taking the data collected within the CDP and making it accessible to all users in a network through the apps and tools that they use most.
#big #data #flexibility
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  • Profile picture of the author Sparity
    This is really great information, Thanks for sharing the valuable article on big data...
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