It’s no secret that the rise of computer apps is transforming both the marketing and customer experience. One of the most intriguing developments in app development is in the area of chatbots that not only can send communications to customers but also respond “intelligently” to conversations.

Recently, I had the pleasure of speaking with Christian Brucculeri, the CEO at mobile messaging company Snaps, a developer of chatbots and other marketing technology products for companies. Brucculeri explained some of the background of how chatbots came to be, as well as their usefulness as a marketing tool.

“Typically chatbots represent a conversational interface between a consumer and a machine,” Brucculeri said. “They’re applications that have linguistic structure. It might allow you to ask a question and try to find an answer. They enable one-to-one communication between brands and consumers at scale, and they leverage technology in order to do that.”

Certainly chatbots have close technological relatives we’re already used to, like Apple’s Siri, Google Home and Amazon Alexa. You might call automated phone systems—the kind people love to hate—as a chatbot’s second cousin. But so far these are far from able to use artificial intelligence to understand language, and respond appropriately.

And while the technology can be used for entertainment purposes—think Snapchat or Facebook Messenger, for example—its greatest impact is potentially coming in marketing, Brucculeri told me.

Creating conversations, not messaging

“We work with brands across several industry verticals, including tourism, hospitality, entertainment, media, CPG, retail, quick-serve restaurants and more,” he said. “For example one apparel brand delivers a 30-day workout experience using basic Facebook Messenger. For some hospitality brands, they’re trying to manage their ongoing relationship with consumers and help them manage their rewards accounts.”

In many ways, this sounds similar to most apps we’re used to. So, what makes chatbots a different kind of app?

“Where chatbots get really interesting is in personalizing media and responses,” Brucculeri suggested. “Here, you can really do one-to-one marketing at scale.” Brucculeri said Snaps has developed such chatbots for sports teams, where a fan might receive notices of games, results and highlight videos. In the stadium, a chatbot might help a fan find restrooms and snack counters, based on physical location.

Brucculeri said Snaps is developing chatbots that function on a variety of existing platforms. Facebook Messenger, which launched a chatbot in 2016, may be most appropriate in accessing consumers, he said, but there’s also Kik, WeChat, Slack and many others, each of which may be experience-specific.

Chatbots also can be connected to customer relationship management platforms, such as Salesforce, to deliver notifications at the right time to the right person, Brucculeri said.

“We do CRM integration and user matching to log in and do account management,” he said. The result might enable companies to find new customers, engage with existing customers in a fun way, getting customers to take some form of action, or managing the relationship in other ways.

Improving the customer experience

Customer service, driven by artificial intelligence, also can be aided powerfully by such matching, Brucculeri said. Instead of hitting a bunch of digits to get routed to the right person, the artificial intelligence capabilities of chatbots—the two-way ability to listen and respond appropriately—can improve this experience immensely.

“A chatbot can do this in ways that are more convenient, simple, fast, and better for the customer and probably less expensive for the customer-service function,” he said.

The future of chatbots is an intriguing one, as technology evolves and as the bots themselves get “smarter” and more humanlike in their analyses and responses.

“We’re long on the idea that conversational interfaces will continue to evolve. Whether consumers are texting with or talking to them, automated systems like bots are almost certainly going to have a role in our future lives” Brucculeri said. “We see conversational media becoming the next wave and being potentially bigger than application media itself. I think in three years, people might be talking to bots more than they’re typing in bots.

“But the main idea remains the same,” he said. “Might I one day launch a chatbot on Alexa, Amazon’s voice control system? How about getting some type of visual element to go along with that, such as HoloLens, Microsoft’s holographic headset? Can these things become really rich experiences, far better than just staring at our phones and typing?

“I think some of the form factors are going to change, but I think the fundamental elements are going to be the same, which is conversational commerce. People increasingly will be talking to their computers, and they’re going to get a lot done by doing it.”

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.

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.

A bit of a trick question: If you had $100 to spend, would you be better off devoting that money to doubling the traffic to your site?

Or doubling your conversion rate?

Many marketers get this wrong.

Despite years of front-line, real-world experience to the contrary, more and more online marketing budgets are disproportionately aimed at driving traffic, rather than conversions.

There’s the notion that things like SEO, PPC, affiliate marketing and the like are far more important than increasing shopping cart sizes, decreasing abandonment, upselling and cross selling.

To be sure, driving traffic is a critical mission for any e-commerce site.  After all, no visitors, no sales.

But at the same time, even the most brilliant SEO or affiliate strategies will be for naught if the site itself fails to entice customers to actually buy.

That’s precisely where site testing, optimization, and personalization come in.  Failing to actually sell goods on the site can cost brands the effort, the dollars, and the brand equity that they devoted to attracting all that traffic.

Doubling your conversions can be dramatically more profitable than merely doubling your visitor numbers. And here’s why:

You want insight, not just raw numbers

Slice and dice your site traffic analytics all you want. But at the end of the day, they are still just numbers. What rings the cash register is actionable solutions you can use to improve your customer experience.

The first step is to employ an internal test-and-learn methodology to understand what visitors to your site are engaging with, where they’re dropping off, where their gravitating towards. (Hint: this may even differ by traffic source!)

But only through continuous A/B and multivariate testing, can you actually begin to understand your visitors and place content decisions in their hands. You can fundamentally change how your organization learns about its online traffic. In other words, nobody should be increasing traffic or making a site without a focus on improving conversions.

You want sales, not just visitors.

Yes, going to your boss and detailing how you doubled site traffic in the last quarter is a grand accomplishment! But can you really document how that increased traffic contributed to sales? Do you really know?

If you aren’t tracking conversion rates, or attempting to optimize the site in any way, boosting traffic rates is simply doesn’t matter.

Once visitors land on your site, your goal is to get them to buy (and hopefully become repeat customers). This is where testing and personalization are essential to turning traffic into sales.

Optimizing your site for content, design, offers, and copy is the only way to ensure your are taking full advantage of your site traffic. If the experience is irrelevant, frustrating or cumbersome, you might as well have not ever invited them to your site in the first place.

Better experience, more dollars

Today’s consumers are good at comparison shopping. They research, they sign up for emails, they track down deals.  Which may lead you to believe that the key is to boost your traffic as much as possible.

But the reality is, if you provide a really stellar online experience, they will want to come back, again and again. Which makes the overall job simpler, and clearer.

Thanks in part to more advanced testing methods, it’s a lot easier to listen to what your visitors want (and need).  Customers have become a lot more vocal even if they don’t know it. Through their clicks, page views, bounces, reviews and purchases, your online customers offer real-world feedback about their online experiences, in real-time. So pay attention to them. Make website changes and marketing decisions based on your customers, not on what your gut — or marketing budget — is telling you to.

Personalizing wins

Getting into a traffic war with your competitors is a sure-fire way to waste resources and precious attention.  It’s far more effective step up your game by using testing and conversion optimization to gather data and visitor profiles that can dramatically increase actual sales and repeat visits.  You may even find that segmenting your customers by where they came from can help you convert them into loyal and repeat buyers.

When it comes to their websites, major e-commerce players need to realize that only through a customized combination of multivariate testing, optimization and personalization best practices can they truly begin to tailor experiences in meaningful and profitable ways. It’s an ever-evolving practice that reaches miles beyond SEO, ad targeting and landing page optimization. But the rewards of it means a lot more return traffic, and a lot more improved conversions.

Follow the money

No matter how you define a conversion, at the end of the day, the holy grail for e-commerce marketers is to increase site sales. And the dollars are in the details, not just the volume. Focusing on conversion rates is where you’ll see not only site engagement improve, but revenue as well. Your traffic drivers might bring you more people, but conversion strategies bring you more money. No contest.

When it comes to site optimization and traffic acquisition, the best brands aren’t just surviving — they’re thriving. By focusing on the deep analytics and insights gained from testing with online customers, not just boosting traffic, not only improves the efficiency and effectiveness of their e-commerce site, but several other aspects of their businesses as well. They have a better grasp on who their customers are, how they buy, when they buy and what they buy.

In short, they can offer experiences more suited to customer needs and wants — and that is the true goal of any e-commerce business.

According to HubSpot, ninety three percent of adults on the Internet are on Facebook, yet only 1% of a brand’s Facebook fans will ever make their way to the company’s main website. Many blame their low conversion rates on Facebook: “Facebook ads don’t work.” “I have a ton of likes but it doesn’t mean anything because I’m not making money.” “I keep posting things but I’m not getting many views.” Few, however, look to their own efforts for answers. And even fewer put a strategy in place to convert this highly active audience into highly engaged website visitors.

Upon learning these statistics, we did a little—actually, a lot—of digging to find out who/what is actually to blame for these disproportionately low conversion rates. We know, after all, that Facebook users are a highly active and engaged audience. So, why aren’t brands able to capitalize on that? It simply can’t be Facebook’s fault…

Below are the 10 most common reasons brands aren’t getting enough love from Facebook users, along with recommendations for better using the tools at their disposal. (In order to determine which methods work best, try them out and then test each one using the same online testing methods you use to measure your brand website’s effectiveness.)

1. Failure to Get Past the First Step

Most fans won’t ever come back to a brand’s page unless they feel they have good reason to. This is not totally different from how they interact with their friends’ pages when you think about it. Unless the new friend has great content to go back to, there’s not much of a reason to go directly to their page very often, if at all.

What does this mean for marketers? It means they’ve got to use that first “viewing” wisely, offering immediate and easy ways to engage visitors further upfront:

• Email list
• Blog subscription
• Gift download

Test: The various methods listed above to determine which ones actually have a positive impact on conversion rates.

2. Poor Text and Visuals

A successful Facebook page must have concise, engaging text that’s relevant to both the brand and the fans’ interests. Overly long, humdrum copy will fail to capture fans’ attention. Crisp, eye-catching, hi-resolution visuals (photos, videos, illustrations) that clearly speak to those things visitors like about the brand in the first place, will draw them in for more.

Test: Copy length and content; image quality and subject matter.

3. Stagnant Page Content

If fans stop by more than once only to find the same old Facebook page, they might assume the page is outdated—or worse, abandoned. It’s important for marketers to give fans new ways to connect and advance their relationship with the brand or product being promoted. Keep to a consistent schedule with fresh content and ever-improving offers, using the results from the testing mentioned above.

Test: Update frequency.

4. Inconsistent or Sloppy Branding

If there’s no stylistic connection between a company’s Facebook page and its main website, visitors may not trust that the page is legit. Brands often spend a disproportionate amount of time, money and effort on website branding efforts, in comparison to the relative pittance reserved for complementary Facebook efforts. Keep branding consistent across all channels, so that visitors know exactly where they’re going and whom they’re dealing with.

Test: logo variations, cover photo options, and other brand elements.

5. Confused Calls-to-Action

Once fans arrive at a brand’s Facebook page, they should have a clear idea of what to do and what’s available to them. Offers and calls-to-action should be prominently displayed, and any associated instructions should be easy to follow. Be aware, however, that Facebook has guidelines concerning calls-to-actions, offers and anything else resembling blatant advertising on company pages, so it’s important to make sure you’re current on usage guidelines.

Test: Calls-to-Action and offer variations—in terms of design style, content, placement, and ease-of-use, to see which combos bring the most fans.

6. Too Many Clicks

People are impatient—especially on the Internet—and want immediate gratification. If visitors have to jump through too many hoops or fill out too many forms in order to get what they want, they’re likely to click away. Make sure the desired destination can be reached in the fewest amount of clicks possible. Also, if there are forms to fill out, keep them short and simple.

Test: length of forms, number of required fields, number of clicks necessary to get to target content.

7. Mystery Visitors

One of the most important aspects of Facebook marketing is finding out who’s using it to access the company website. Anything in a fan’s Facebook profile—age, gender, location, name, relationship status, “Likes,” and more—can be captured, depending on the level of authorization granted by that fan. With the right tools, marketers can compile user profiles using that authorized data as well as previous site behaviors, to get a better sense of the users they’re reaching on Facebook. Those profiles can then be tested to see what offers, content and/or experiences are most effective in attracting fans, “Likes”, website traffic or any other relevant conversion metric—as well as applied to other marketing efforts.

8. Preconceived Notions

As excited as marketers may get about shiny new objects—especially social media objects—they‘re often reluctant to spend money on developing new efforts for them. Dipping your toes in too slowly, however, can be ineffective. Once you’ve decided to “do” Facebook, you may as well do it right. Step out of your comfort zone and try new efforts for specific customer segments. An even crazier idea—consider developing Facebook-specific campaigns rather than repurposing ones created with a different platform in mind.

Test: Campaign effectiveness in terms of user receptivity by various demographics—age, location, interests—to gauge interest from potential untapped markets.

9. Ineffective Plugin Use

If Facebook plugins aren’t integrated into the main company site, a great deal of potential traffic—and revenue—is being lost. Plugin tools turn consumers into brand advocates, making it easy to share site information with Facebook friends. Some examples of plugins are:

• “Like” button: lets visitors share main site pages back to their Facebook profile with one click.
• “Like” box: enables visitors to “Like” the company’s Facebook page and directly view its stream from the brand site.
• Recommendations: gives personalized suggestions for pages on the main site visitors might like, based on what other people are sharing.
• Comment box: allows comments on any site content, such as a webpage, article, or photo. The visitor can share their comment on Facebook by posting it to their wall and their friends’ streams.

Test: Plugin types and the effectiveness of each for meeting your program goals.

10. Sticking to Stand-alone Metrics

Getting just one side of the story isn’t enough. Marketing programs need to be set up so that Facebook stats and user profiles are fully integrated with all other online and offline shopping channel information to create rich, detailed, and fully comprehensive user profiles. Profile reports should be updated on a regular basis, so the most recent user information is always available.

With the proper attention to detail and willingness to dedicate the same energy to Facebook efforts as they do to other initiatives, online marketers will no doubt find that their 1% conversion rate is something they can control. And that it’s not Facebook’s fault their customers aren’t more engaged.