With constant access to a growing list of channels and devices, today’s connected customers are no longer satisfied with vanilla, one-size-fits-all experiences and offers. To stand out in the increasingly crowded and competitive marketplace, many C-level executives from the world’s most iconic brands are not content with just “Keeping Up With the Joneses.” Instead, they are actively seeking opportunities to better understand their high-value customers across every channel and device.

The reason for this is simple: These customers are more often than not brand loyalists and willing to persuade others to become regular brand purchasers if they’re kept happy and engaged consistently in every single place they are interactive with brands. But the task of keeping brands happy and engaged beyond one big “win” isn’t easy. It requires CMOs and the entire business, for that matter, to combine their internal resources with technology that’s both powerful and agile enough to boost customer engagement and revenue long term. And a brand’s success today, in this hyperconnected and digitally dependent environment we live in, depends heavily on leveraging digital to reward high-value customers. Rather than spout out a to-do list of tactics that show high-value customers they’re appreciated, here are some specific benefits instead that can be derived from deep and sophisticated forms of segmentation:

Don’t confuse high-value customers for high-volume customers.

In the less digitally savvy days, brands and their teams of analytics “experts” would navigate through Excel spreadsheets with massive amounts of data. In those days, there was sometimes confusion and lack of knowledge as to what constitutes a high-value customer. As a result, high-volume customers would often be mistakenly categorized, and subsequently treated, as high-value customers. But the reality was, and still is today, that people who interact with a brand frequently aren’t necessarily going to be the ones that have the most value from the perspective of consistent engagement, conversions and sales across multiple channels – from being inside a physical store to making a last-minute purchase on their mobile devices or shopping from their PCs. So it was common for those brands to see a huge surge in traffic for a short burst of time, but after the excitement faded, so did the engagement and ROI.

Marketers today need to adopt a more realistic and accurate definition of value that’s based on “the combination of opportunities to convert and increase potential order value, and maximizes both, while at the same time, yields your highest value customers.” But identifying the best customers online and serving them the content they need is easier said than done. The key to obtaining a 360-degree view of high-value customers means personalizing and differentiating every message by offering an array of online content to drive maximum conversion and revenue uplifts.

To get there, the modern brands of today must, and I repeat must, push beyond the basic forms of personalization – think product recommendations or ads that chase you around on the Web. Instead, these brands are likely to be best served by leveraging the power of technology, real-time data and automated segmentation to effectively profile individuals who are in actuality high-value customers. That identification is the first hurdle that brands need to overcome. From there, it’s all about extending personalization across every device and channel to delight and please consumers with the most humanly relevant, easy-to-navigate and engaging offers.

Tap into the beauty of data to boost cross-channel ROI.

The urgency to identify high-value customers online is being fueled by a number of factors. First, the online channel represents the biggest growth opportunity for most brands. According to a new Forrester Research global eCommerce report, e-commerce revenues are going to continue to grow in 2014 as customers’ online buying habits evolve. Meanwhile, a new study released by IBM in 2014 reveals that brands stand to lose $83 billion due to poor customer experiences.

When you think about it, that’s a lot of revenue that could be left on the table if brands don’t put every segment of their customers first. For example, brands are able to gather intelligence on channels shopped — including Web, tablet, mobile phone or store — and then integrate data from a CRM system, POS, DPM or other source to help augment customer profiles. By combining intelligence on shopping history, search history and Web behavior, this combined intelligence can help brands identify when to offer an in-store promotion, extend a seasonal offer or make a product recommendation. If brands are able to identify their high-value customers, then they can scale the business more efficiently and ensure that every decision and action they make is focused on delivering the right actions defined by the right data.

Discover unique attributes of unique markets.

One common challenge that today’s brands face is a tendency to make decisions based on data points as opposed to data profiles. In these instances, it’s not that uncommon for brands to use pre-existing data models to identify their buyer personas as well as the content and offers they deliver on their websites and mobile sites.

By using automated segmentation and targeting, brands should be able to detect segments unique to their brands and industries. This process turns traditional targeting on its head because buyer profiles and offers are all determined by real-time intelligence gathered against real-time customer behavior. One example of such a data profile could be a “weekend shopper” persona. Based on their digital behavior and purchase activity, these shoppers may spend significantly more money (at multiple channels) than mid-week shoppers. So it’s more than likely these shoppers would be frustrated and intolerant of being shown irrelevant and mismatched offers that would better suit mid-week shoppers. That is where many brands today realize that even with all the benefits of technology, they have made shoppers that much less tolerant and patient with poor experiences.

Move away from campaign analysis; bring it back to the customer.

One of the ways brands have traditionally gathered intelligence on customer behaviors is through basic A/B testing of different content and offers. Building on the quantifiable value of testing, many innovative brands are now shifting from campaign-driven analysis to a more holistic and accurate customer-driven analysis. By doing so, marketers can get a more robust and humanistic view of every single customer segment, as well as being able to identify which segments are performing better than others. With businesses – across all teams – being challenged to consistently demonstrate ROI, this ability to gauge the value of high-value customers and appropriately target them with the best content on the best devices at the best times and places, is especially critical to success.

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.

It doesn’t take a record-breaking holiday shopping season to realize that most online shoppers are vulnerable to the advances of competing online retailers. But when it comes to a decline in return customers, blaming a lack of customer loyalty on the competition is the easy way out. Now is the perfect time to commit to tracking the number of first-time shoppers who actually come back in months to come—not to mention, those who don’t. And from there, put a plan in place for increasing customer loyalty.

There are many reasons customers will only buy from a site once. It could be that you offered them something they couldn’t get anywhere else, but didn’t give them a good reason to return when they were there. It could also be the overall usability of your site, a lack of necessary information, a poor checkout process… The list goes on. The bottom line is that they didn’t find the shopping experience memorable—and you may never see them again.

But fear not, there is a proven method for visitor retention. And it’s called personalization—aka using what you know about your online visitors to create highly individualized experiences for them. Personalization can be simple, based on one or two collected insights, or a highly complex interaction of detailed formulas and algorithms. Either way, it’s better than just ignoring tailored content altogether.

Because many marketers aren’t taking advantage of personalization techniques—or they’re doing them wrong—there is a lot of opportunity for those who are. So, instead of blaming a lack of loyalty on the aggressive competition, get ahead of competing sites using testing and personalization to avoid making these three common mistakes:

Misinformed website updates

Companies often invest tons of time and money into a complete website overhaul each year (or even every few months), only to find that the new site fares no better—or even worse—than the old. Instead of being attracted to the sparkly new changes, consumers often feel alienated by the inconsistent and constantly shifting branding. After all, if they don’t recognize you, how will they know you’re, well, you?

Even more, companies often don’t fix the actual problems; instead, they focus on the superficial elements they perceive to be the problems. Solving a problem requires first knowing what it is. Let the actions of your visitors show you what works and what doesn’t using A/B and multivariate testing. Testing your website elements and pages will not only reveal your problem areas, it will reveal where on your site you’re experience positive visitor behavior. All of this information should then go to informing minor (or major) site updates, which can lead to significant lifts in conversions. But our end goal goes beyond initial conversion—we’re focused on retention.

Neglecting mobile and tablet

It’s especially sad when a brand goes all out updating their website, but doesn’t take mobile or tablet responsiveness into consideration. There’s little point in having a gorgeous website that’s impossible to navigate on a smartphone. Consumers now expect the same look and feel across web, mobile and tablet-specific apps or sites, yet each platform has its own unique capabilities—and opportunities to learn more about your customers. This additional knowledge can then be used to personalize user experiences across channels. And vice versa.

Landing page tunnel vision

Landing page optimization is a go-to tactic for many marketers looking for a quick fix, but even the best landing pages can’t sustain customer loyalty on their own. Focusing on single pages distracts from the larger picture, which should be the 360-degree customer experience. Knowing what individual customers do, what they like, and how they prefer to engage with your brand can help accomplish this. This knowledge can come from multiple data sources, online and off.

Behavioral targeting is a form of personalization that relies on using these user actions and preferences to inform custom experiences for individual visitors as they navigate each and every page of the site—including landing pages.