Tag Archives: personalized experience

Getting Personal with Data as a Service (DaaS)

Getting Personal with Data as a Service (DaaS)

Getting Personal with Data as a Service (DaaS)

Last week, I spent three days at Retail’s Big Show hosted by the National Retail Federation (NRF) in New York City. This annual event gives retailers the opportunity to network with their colleagues from all over the world. In addition, they get the chance to interact with technology vendors that can help them improve their business.

From marketing automation to analytics software, there were countless technology offerings showcasing how to best assist the modern marketer in making every customer interaction personal. Throughout the week, I had numerous conversations with retail professionals about the importance of personalization in marketing and what it means to their organization’s future plans.

At the heart of their plans was the need to understand the data that they have today, and how to verify the data that they will inevitably acquire in the future. If it’s accurate, if it’s reliable, if it’s complete – customer data can fuel your ability to engage and interact.

The data driven marketer derives insight and ultimately provides a personalized experience by leveraging this valuable data for each customer.

And why is this important?

Well, according to McMurrayTMG, 78% of buyers believe that organizations providing a personalized experience are interested in building good relationships. But it all starts with accurate data.

Knowing who your customers are, how you can contact them, and what they are interested in are essential in order to engage with your customers. With the abundance of data available today, you have to figure that if you aren’t ensuring that your customer interactions are personalized, then your competitors are gaining ground. Every interaction, every correspondence counts towards a positive perception as well as increased sales and customer satisfaction.

By fueling your interactions with Data as a Service (DaaS) for accurate customer data, you will ensure that your customers have a personalized experience with your brand and ultimately accelerate your business.

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Posted in CMO, Customer Acquisition & Retention, Customers, DaaS, Data Quality, Retail, Total Customer Relationship | Tagged , , , , , , , | Leave a comment

How Retailers Can Use MDM To Better Serve The Multichannel Customer

Retailers have long recognized the value of a single customer view, but the emergence of multichannel research and shopping has made achieving that ideal more difficult. Today’s consumers hopscotch across online, in-store, call center, social media, mobile, and other channels—how can retailers keep up?

Acquire & Retain Customers with Trusted & Complete Customer Data

If you have a single view of your retail customer, you can assess channel buying preferences and tailor marketing accordingly. You can deliver the personalized and consistent experience that discriminating consumers expect across all touchpoints. And you can take advantage of the unique cross-sell and up-sell opportunities that multichannel environments offer.

For instance, if Jane buys a $2,000 leather couch in a store and you can match her information to the email address she registered three months earlier at your Web site, you’re in a great position to pitch matching pillows with a personalized email.

But, as outlined in a new Informatica executive brief, siloed data systems for point of sale (POS), e-commerce, call centers, and more make it difficult for retailers to achieve a single customer view. The brief includes survey results from a leading research organization, including the following statistics:

  • 92 percent of retailers don’t integrate customer data from all channels
  • 68 percent of companies cite improving customer data integration as a top priority for 2010
  • Less than 25 percent of retailers extend personalized loyalty programs across all channels

(more…)

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Posted in Business/IT Collaboration, CIO, Customer Acquisition & Retention, Data Quality, Enterprise Data Management, Master Data Management, Operational Efficiency, Vertical | Tagged , , , , , , , , , , , , , , , , , , , , , , , | Leave a comment