The phenomenon of big data certainly comes with big promise. After all, having terabytes of data on customer history and behavior is certainly better than trying to extrapolate from just a few data points.

For sure, online marketers who make sense of big data are going to be better able to build customer experiences around hard data and evidence rather than on hunches and guesswork. Instead of working on intuition, or crude analytics, you could use definitive evidence to design product pages that lure your best customers directly toward the shopping cart. You’d know exactly when to introduce your promotions and offers, and you’d know which promotion would work best with each particular customer. You could optimize your online interface, so that everything from search to registration to “Place Order” was virtually friction-free.

Getting to that point, however, requires first harnessing the data. It is no small feat to integrate huge amounts of data from a variety of sources. It is even trickier to figure out exactly how to translate that information into more visits and fuller shopping carts—in real time, customer by customer.

The good news is, there are technologies and tools that make it much easier to find the gold hidden in the data—and use it to refine your online marketing with laser precision. But there’s a mind-set at work here, too—a way of thinking about data that may involve some shifts in culture, depending on where your organization is right now.

Having worked with a number of online marketers who needed to tame big data, here are six steps to help you get there:

1) Think continuous evolution and iteration, not instantaneous.

Yes, big data can fundamentally shift the way you do business. But don’t try to change everything at once. It’s far more productive to adopt a “test and learn” philosophy. Two dozen incremental improvements in site design or wording or personalization can get you much further than trying to “innovate” in one fell swoop. We see this every day.

The most successful marketers are optimizing and refining all the time. They steadily move ahead, with a thousand baby steps, finding something to improve almost every day.

Note: This tactic may call for some adjustments to Web development processes. The most agile marketers can typically go “live” with tweaks, adjustments or tests in a matter of hours. (Slow marketers wait for the next release. Don’t do that.)

2) Align big data goals with your individual business goals.

Create separate initiatives or projects for each of your business goals, such as acquiring new customers, boosting conversion rates, improving customer loyalty or increasing lifetime customer value. This approach makes it much easier to determine what type of data to reel in, and exactly how to use it. Focus a team or a project on one objective at a time.

3) Sell the concept internally.

In some organizations, moving toward data-driven, evidence-based marketing may call for some extra communication to get everyone on board:

• Encourage knowledge sharing, continual learning. Let everyone know what you found out.
• Simplify everything. Present data and outcomes in easy-to-understand terms that managers can use to make decisions. Use pictures and graphs.
• Communicate plans and achievements across the organization. Don’t hide results.

 4) Create one team for big data.

You will need to include marketing strategists, analytics gurus and Web developers. And especially creatives, who may sometimes feel threatened or hampered by having to work with hard evidence.

Then integrate with those responsible for e-commerce and site optimization. No silos allowed.

Find a committed, obsessed, dedicated executive to drive the process and act as a focus for future customer experience innovations.

5) Your own data is best. By far.

The real-time data that your website and CRM systems are gathering is far more valuable than anything you can obtain from an outside vendor. Because it’s about your own living, breathing customers, it is data that your competitors don’t have. Advantage, you.

Examples of the typical aggregate data you can capitalize on in a big data strategy:

For most marketers, the goal should be to make in-session decisions as to what customers should see, what offers you recommend and what you say to them.

Craft a custom experience for each visitor, and they’ll buy more.

Do all of this, and they’ll be back.

This article was originally published on iMedia Connection

When Wal-Mart announced plans to use its retail locations to fulfill online orders last week, the media and business community broke into a collective game of word association. The word? Amazon.

Prior to breaking the news, Wal-Mart was already one of the few companies that could compete with Amazon online. But after unveiling how it plans to do so—by fulfilling online orders in its own stores—Wal-Mart became Amazon’s first serious threat.

The irony is that Wal-Mart will fulfill these orders using Amazon’s own in-store locker strategy. Wal-Mart has the significant advantage of already having 10,000 retail locations—something Amazon can’t currently compete with. For Amazon, staying competitive will either require rolling out a slew of its own physical locations (which is a possibility considering its test store concept last year) or establishing partnerships with 3rd-party brick-and-mortar retailers (something it is very much in the process of doing). In the meantime, however, all Wal-Mart has to do is boost its online game. Well, and install the lockers.

Clearly Amazon and Wal-Mart have different product sets. They also don’t overlap 100% in target customer bases, and there are a bunch of other things that are fundamentally different about their models… But for the sake of oversimplification, let’s say that all Wal-Mart has to do to rise to ecommerce supremacy is up the online ante. What exactly would that take? A lot. But Wal-Mart’s two most crucial priorities will be helping online customers navigate its extensive product list easily and quickly, and streamlining online and offline operations to create a turnkey overall experience.

Priority #1: Wal-Mart must transform itself into an invisible (and psychic) personal shopper to help customers navigate its vast inventory.

Like Amazon, Wal-Mart has a massive product offering. This isn’t a new problem for either of them, but as the race to fulfill orders guarantees quicker turnaround times and more convenience after placing the order, Wal-Mart must control every thing it can before the order is placed to ensure it’s actually placed through them. In this case, that means making sure customers can find what they’re looking for, quickly and easily. Or, in the case that customers don’t know exactly what that is, helping them figure it out with a fairly high degree of accuracy.

The good news is that this isn’t Wal-Mart’s first rodeo; they’re not exactly starting from scratch. They know who their customers are and they’ve got tons of data from past purchases and online behavior to inform their efforts.

They’ve also got enough content to appeal to every person in the US if they want to – it’s just a question of surfacing the right content to the right people. Therefore there is no extra work involved in getting more products or content; the challenge is simply using it better.

To act as an invisible personal shopper, Wal-Mart must master what they do with this powerful combination of content and data—and when they do it. The goal is to use it in real-time, as customers are browsing their online store.  This is different from standard product recommendations—things like “people who liked this, also like that”–which online shoppers have become accustomed to. Retailers now have the technology to go far beyond these persona/segment-based tools.

They can make use of both historical data (what this particular individual has looked at and/or purchased in the past) and current data (what this particular individual is looking at right now) to make predictions that will shape a particular customer’s experience in context and real-time.

Priority #2: Create a streamlined and turnkey experience across all touch points between online and offline visits.

With this new model comes the potential for far more room for error than ever before. Online customers who will now be traveling to Wal-Mart’s physical locations to pick up their orders will no doubt expect a consistent experience from the moment they order all the way to fulfillment. Along the way, there are a number of touch points, including email, direct marketing, advertising, customer service, and so on.

Building on the idea of personalizing each individual’s online experience, Wal-Mart can easily improve each subsequent experience—something that may seem like it involves a significant level of complexity. But with the right infrastructure, it can be completely automated and dynamic.

The key to accomplishing this is putting visitor profiles at the heart of each cross channel experience. In other words, Wal-Mart can use the same model of targeting used online to inform which content each customer sees across all other channels. In the end, the digital channels match email marketing matches advertising matches direct mail matches messaging at the point of pick-up (a phrase I just coined, mind you), and so on.

At the end of the day, Wal-Mart’s rise to online dominance really just revolves around turning an otherwise complicated shopping experience into one that feels quaint and easy. It can accomplish this by setting up a strong behind-the-scenes infrastructure that puts the customer experience at the forefront. And isn’t that what their new strategy is all about—giving the customer what they want where they want it?

If the $42.3 billion spent online this past holiday season has taught retailers anything, it’s that capturing customers—and their dollars—online is crucial.

But online is a big place. And mobile, which can seem like an entirely different universe, looms ever larger. So where to even start if you haven’t yet…started? And who should lead the charge?

The modern day merchant must have an intimate understanding of the importance of online and mobile commerce, access to a vast array of customer data, and a strategy for transforming this analytical data into winning online experiences.

In all cases, the goal is to attract and retain both new and returning customers. Whether online novices or experts, business leaders crave insight on how to accomplish this. The question is: who inside the company can embody these traits and help the CEO rule the roost? That responsibility should belong to the chief marketing officer.

A CMO should be somebody who uniquely understands marketing, merchandising, data, analytics and web design, and who can also maintain a creative, innovative organizational structure. IT tends to lean too heavily toward data for data’s sake, while Sales too often relies on revenue and relationships.

Placing the CMO in charge allows for the best of both worlds. Armed with the science of data analysis and the art of consumer engagement, the CMO is well positioned to emulate merchant princes of old and join the ranks of retail royalty. A good CMO can nurture a culture of testing, measuring and learning instead of depending on guesswork and subjectivity, as well as reach out to those on the front lines of customer interactions to figure out what those customers want. The ambitious CMO knows that their company site must be more engaging than the competitions’, as well as a place that customers trust, valuing the available products, services and information on offer. It also needs to be a reliable gateway to actions that grow sales beyond the initial purchase, such as cross-selling and upselling.

What’s the best way to make all this happen? One word: data.

Data is crucial to online retail. It comes in many different forms, the main type being the individual behaviors of current site visitors: which search term or webpage brought them over, what time of day and day of the week they’re most likely to stop by, what recent purchases they’ve already made onsite, what pages they visit and what product categories most interest them. All this pertinent info helps define what the “best content” is for each specific viewer. Other types include customer relationship management (CRM) data and social media data.

The aspiring CMO must then use this accumulated data to gain perspective on what customers want; analytical optimization and personalization tools will aid in this quest. Segmentation sifts through the data to find discrete groups of people with similar traits and/or interests, who can then be targeted and tested with relevant content based on site activity. Product recommendations and other offers are then provided based on what the various groups are most likely to purchase.

Product information tools give customers a deeper understanding of the product at hand—a 360-degree view of an article of clothing, or a close-up of various types of textured materials. User-generated content, like ratings, reviews or social media feedback, also aids and influences purchasing decisions. The savvy CMO uses all these methods to strike the delicate balance between intuition and analysis.

Recently there has been a lot of conversation against the importance of relationships in selling such as this recent Harvard Business Review article on Selling is Not about Relationships which makes it seem like social media would not make a good fit for sales people.

But a new RAIN Group report proves otherwise and shows that sales people that truly “connect” with buyers in this “always on” environment we live in to win more often. So here are 3 reasons why …

Social media provides great way to connect with potential buyers

• Social media provides the sales person with unprecedented ways to connect with potential buyers, increase likes or followers to the business, build relationships and most importantly start conversations.
• Social media provides the sales person with a platform to allow for their online personality to shine and begin that trusted relationship which can create affinity with the buyer
• Social media provides the sales person a platform for sharing value, which builds reputation and affinity for the seller

Social media provides a platform to collaborate with potential buyers

• Sales people can use popular online meetings tools like Google Hangout or even GoToMeeting to create spontaneous meetings with potential buyers
• Other technologies like Postwire can be used for more direct collaboration with more middle of funnel prospects
• Social listening technologies like Radian6, Hootsuite (or whatever your favorite is) will allow you to chime in at most relevant times with potential buyers, middle of funnel prospects or even existing customers – keeping you top of mind at all times!

Social media allows you to educate potential buyers with new ideas

• Social media provides plenty of ways to do this. Sales people that tweet their own ideas or find blogs articles that espouse their position – make it easy to connect with buyers. Content is king so being able to use it to your advantage is key.
• Marketing teams provides the platform and resources to sales to be able to do this. Too many companies in my opinion leave it to the sales team to figure this out all this by themselves. Content is the new collateral. If marketing creates the platform and the sales team can bring it to life with customers then sales will surely flow.

An integral part of the sales process is getting to know your prospects and establishing relationships—and it turns out social media can help you accomplish this quickly and easily. Follow the steps above to help your sales team make the cash register ring using social media. Remember – when you’re there alone there is no one to compete!