Tuesday, April 2, 2019

Voice-Assistants Reading Emails: How Marketers Can Adapt

The launch of the Apple iPhone in 2007 prompted a decade-long effort for marketers to make their emails mobile-friendly. The rise of voice-assistants will likely have a similar impact on email marketers, although less tectonic and probably much messier.

Let’s look at why, and what marketers should do about it…

The Rise of Voice-Assistants Reading Emails

What’s undeniable is that the adoption of smart speakers and voice assistants is growing rapidly. More than 86 million smart speakers were sold last year, with more of them sold in the fourth quarter than during all of 2017, according to StrategyAnalytics. And nearly 8 billion digital voice-assistants—embedded in smartphones, speakers, cars, and elsewhere—will be in use by 2023, according to Juniper Research.

What’s a lot less clear is how many consumers will use voice-assistants to interact with emails. Since reading an email via voice doesn’t activate its open tracking pixel, data on voice interactions is anecdotal or survey-based at best. For the time, it’s safe to assume that very few commercial emails are engaged with using voice-assistants.

The Limitations of Voice-Assistants

Voice-assistants remind us of Apple Watches and the early Blackberry devices. None of those platforms support web browsers, so it’s impossible to click through to the landing page of a commercial email.

Voice-assistants do allow for replies, which make it possible to engage with personal emails and many work emails. However, email marketers have unfortunately spent decades training people not to reply to their emails. Plus, adapting existing calls-to-action to be reply-friendly would likely be impossible for the vast majority of brands. So, for now, emails are a dead-end for all but verbal and offline calls-to-action, such as “shop our in-store sale tomorrow” or “call us at 1-800-555-5555.”

Until there are better online conversion options via voice, consumers aren’t likely to use voice-assistants to engage with emails from brands. Instead, they’ll use them to triage their inbox, just like many people do with their smartwatches. They’ll simply use it to delete messages they aren’t interested in and keep the ones they are interested in, which they’ll then truly read later on a smartphone, tablet, or computer.

How Email Marketers Should Adapt to Voice-Assistants

Since consumers can’t convert, the goal for brands is to have their emails be among those that their subscribers save to interact with later.

1. Have clear sender names, subject lines, and preview text.

Optimizing your envelop content is a best practice. Using a consistent and highly recognizable sender name helps build trust and brand engagement, using descriptive subject lines that are supported by preview text helps ensure that the right subscribers are opening each message.

But voice-assistants raise the stakes on recognition in the inbox. For instance, after reading the sender name and subject line, Alexa asks if you want to hear the full email. Siri reads the sender name and subject line, and then begins to read the email, which make a strong and descriptive preheader essential.

“In my testing with Siri, it was unable to provide me with enough info to triage my accounts like I would on my phone or desktop,” says Henry Alva, Senior Email and Web Developer for Oracle Marketing Cloud Consulting’s Creative Service group. “Often this was because of unclear friendly from names, and subject lines and preheader text that wasn’t descriptive enough.”

2. Be mindful about your choice to use emojis, special characters, and elaborate punctuation or spacing.

Voice-assistants stumble when it comes to creative text styling, as well as the use of emojis and special characters.

“There’s a lot of misuse of punctuation and grammar in subject lines,” says Kristin McCambridge, Senior UX Designer at Oracle Marketing Cloud Consulting. “Even quotes and parentheses can be problematic. Air quotes are tricky because they lose some of their pithiness when voice-assistants say, ‘quotation mark’ on either side of the word or phrase. With voice-assistants, you have to be careful that it’s not coming across in a way that you don’t intend.”

Strikethroughs are awkward like air quotes, turning something that’s supposed to be light and funny into something clunky and heavy-handed. Onomatopoeia and creatively spelled words are likely to trip up voice-assistants, as are special characters and emojis.

For example, Siri reads the following subject line as “Bee are are are are are are. Warm up with bonus miles.” That’s confusing and distracts from the rest of the message that follows.

Emojis can be even more jarring, since many emojis have names that don’t roll off the tongue very well. For example, Siri reads the following subject line as “The Walking Dead Returns on Sunday, Zombie Man." The subject line almost sounds as though Sling TV is addressing the subscriber as “Zombie Man.”

Combine emojis with creative word styling and you can get some truly confusing subject lines. For instance, Siri reads this subject line as “Sparkle sea ell ee ay en eye en gee sparkle ess ay ell ee sparkle.”

“Voice-assistants—as well as screen readers—don’t have the ability to make content translations yet, so acronyms, emojis, and other creative text treatments and wordplay run the risk of being misinterpreted by a reader,” says Kathryn Alva, Associate Creative Director at Oracle Marketing Cloud Consulting. “While these tactics can help your subject lines stand out in the visual inbox, unfortunately, they fall flat in the verbal inbox.”

And that is the choice that we face:

Should brands create eye-catching subject lines or ear-catching subject lines? [Tweet This]

Right now, it’s impossible to do both. So, it’s important to be mindful about the subject line decisions that you’re making—not just to potentially take advantage of voice-assistants, but also in terms of creating inclusive email designs that allow more of your subscribers to engage.

3. Use email accessibility best practices to be more inclusive.

Your subscribers may have permanent, temporary, or situational impairments that affect how they engage with your emails.

“Are they using a voice-assistant because they’re in a car, because they’re blind, or because they’re in the sun and can’t read their smartphone’s screen?” says McCambridge. “Designing with all of those people in mind is really important.”

Inclusive design is about using accessibility best practices to widen your audience of subscribers that can engage with your design. While there is a full-range of accessibility best practices, let’s focus on the two that have the biggest impact on how well voice-assistants can read your emails.

First, use semantic HTML tags. Unlike tags like <b> and <i> that define how your text should look, semantic tags define what kind of text it is. For example, <p> indicates that the text is part of a paragraph, and <h> tags (<h1> through <h6>) indicate that the text is a header.   

And second, use alt text wisely and descriptively. Not every image needs alt text. For instance, you should consider not adding alt text to lifestyle images such as photos of sunsets or people working that aren’t pivotal to understanding the message of your email. You should also consider not adding alt text to product images when that alt text would simply repeat HTML text that’s next to the image.

“You’ll want to ensure that the alt text adds value to the content and is not repetitive of text that also appears within the email,” says Kathryn Alva. “It’s surprising how often we see this.”

That said, logos and other images that contain graphical text should absolutely have alt text so you can communicate the text in the image.

4. Pay attention to the order of content blocks.

Sometimes the visual logic of a design doesn’t match up with the sequential reading that a voice-assistant or screen reader will do. This will increasingly cause confusion.

“A screen reader will simply move cell by cell through the email's tables, reading text and image alt text in coded order,” says Kathryn Alva. “What this means is that tables should be coded in logical order so that content is read correctly.”

In the example below, the "Exclusive Offers + More" table is coded in rows, even though the content is grouped together in columns. This causes the voice reader to address all the images, then all the text, and then all the links.

“The result is a disconnected experience,” she says. “Simply re-coding this content in organized columns solves the content-relationship issue.”

Those are our top four tips for adapting to voice-assistants for now, but it’s important to recognize that over time these platforms are likely to evolve—perhaps quite quickly.

For instance, given how clumsy reading emails can be for machines, I predict in my book, Email Marketing Rules, that inbox providers may add a new MIME part to directly address this: a voice-html part. Similar to how responsive design addresses mobile readers, this would allow marketers to craft succinct and clear messages that are intended to be read aloud.

Whether inbox providers adopt that approach or make other changes to make voice more natural, voice-assistants will continue to learn and rapidly advance, says Henry Alva.

“In terms of a new form of email client and in terms of accessibility, they are not something we should ignore,” he says. “This is a space that marketers should watch carefully.”

                                                  

Need help with your email creative? Oracle Marketing Cloud Consulting has more than 500 of the leading marketing minds ready to help you to achieve more with the leading marketing cloud, including a Creative Services team that can handle any aspect of email design, coding, testing, and copywriting.

Learn more →

 

 



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Monday, April 1, 2019

Why brands need to take ASMR more seriously

A little bit of data on the latest trends can help brands create strategies to connect to consumers in new ways – but pay attention to the details. The post Why brands need to take ASMR more seriously appeared first on Marketing Land.

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How LinkedIn measures what matters to drive results

Developing a measurement strategy that provides actionable insights isn't always easy. Here are key tips to getting there. The post How LinkedIn measures what matters to drive results appeared first on Marketing Land.

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First-party hygiene: Facebook shows users when a Custom Audience list was uploaded

The "Why am I seeing this ad?" notification will also name any agencies or marketing partners that worked with the advertiser to create the ad. The post First-party hygiene: Facebook shows users when a Custom Audience list was uploaded appeared first on Marketing Land.

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Introducing PooblĂ­che: The Exquisite Exterminator for Refined Content Marketers

Sometimes in business, just like in life, you reach a turning point. You look back at your past experiences with...

The post Introducing PooblĂ­che: The Exquisite Exterminator for Refined Content Marketers appeared first on Copyblogger.



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Hey Alexa: How Do I Bake Voice Search Into My B2B Marketing Strategy?

Voice Search & B2B Marketing Strategy

Voice Search & B2B Marketing Strategy Can you imagine if we actually talked to one another the same way we’ve historically talked to search engines? It would make for some awkward interactions. "Minneapolis movie showtimes." "Um... come again?""Showtimes Captain Marvel 55441." "Are you –" "Movie showtimes cheapest theater arcade games. I'm feeling lucky." "Sir, this is a Wendy's." It’s only fitting I suppose that our adherence to Google’s robotic algorithms has, in turn, made us more robotic. Searchers became trained to speak in the engine’s keyword-driven language. Marketers crafted SEO strategies accordingly. Today, the advent of voice search is making our conversations with search engines more… conversational. It’s not incidental that we activate this feature on our smartphones or voice assistants by addressing “Alexa” or “Siri” — this dynamic is very much intended to humanize the devices, which is a little creepy and dystopian if you think about it, but it’s best not to think about it. In any event, this movement toward more conversational search aligns with a general focus on humanizing B2B brands. So let’s take a look at how marketers can adapt and thrive in the age of voice search.

Voice Search and B2B Marketing Strategy

In January, TopRank Marketing’s Associate Director of Search and Analytics Tiffani Allen outlined SEO predictions and trends for 2019, and voice search was of course one of the pillars.   “In 2019 and beyond it will be increasingly important for marketers to optimize and create content that lends itself to voice search,” she wrote, pointing out that — according to Gartner projections — 30% of web browsing sessions will be done without a screen by next year. “From a technical perspective, the usual suspects of page speed, site security, and domain authority will play an important role here. But at the end of the day, it’s all about ensuring your site content can be easily found via voice search.” So, beyond those mainstay technical aspects, how can we ensure our content is discoverable for the right people? Fundamentally, the solution lies in best answer content. We recently discussed the ways in which a best answer SEO strategy lines up with voice search, because it compels us to understand the mindsets of searchers and speak their language. That post features a number of suggested methods for learning about the questions your customers are asking. Once you’ve completed this groundwork, it’s all about creating content that comprehensively answers those queries. Beyond this overarching guideline, here a few specific items for B2B marketers to keep in mind when assessing their go-forward approach to voice search.

Think Mobile

The majority of voice searches come from mobile devices, increasing the emphasis on what should already be a central consideration. Research shows that some 50% of B2B queries come from smartphones, and Boston Consulting Group expects that figure to reach 70% by 2020. Responsive design and lightning-quick load times will be the big difference-makers here. If you haven’t lately, we recommend working with an agency or your internal SEO and analytics team to conduct a full mobile audit for your website and any other key digital real estate.

Think Local

A significant portion of voice searches carry some level of location-based intent. This is often at odds with digitally oriented B2B brands, which tend to be less reliant on attracting physical customers and thus less likely to prioritize local search. But if you want to be visible (er — audible) in voice search results, it’s worth exploring ways you can invest in local content.

Think Vocal

This brings us back to the “best answer” imperative we mentioned earlier. When conceiving and creating content, do so with a literal question-and-answer format in mind, based on the research you’ve done to understand your audience’s top curiosities. And I mean really answering the questions, not just fulfilling the search query. Nearly every piece of content we generate should tie back to some particular question that might follow a “Hey Alexa…” Google has been prioritizing semantic search ever since the Hummingbird update, so this is a consideration that extends beyond voice.

B2B Marketers: Find Your Voice

Even though one recent study suggests that the seemingly unstoppable momentum of voice search is slowing just a tad, there’s no question that it has become a sizable factor in customer journeys and will remain one going forward. The good news is that optimizing your B2B content strategy for voice search doesn’t need to be a separate and distinct focus. Most of the practices that are conducive to voice search traction are just plain generally advisable for B2B brands:
  • Answer your audience’s most burning questions in conversational terms.
  • Summarize the core substance of your content early on for traction in featured snippets.
  • Deliver a seamless mobile experience at every step.
  • Tap into the hidden B2B opportunity that is local search.
The bottom line is that B2B companies need to be less robotic, and more human. The rise of voice search is simply another trend feeding the urgency. For a deeper dive into the combination of best answer content and search, read: How B2B Marketers Win at Search with Best Answer Content.

The post Hey Alexa: How Do I Bake Voice Search Into My B2B Marketing Strategy? appeared first on Online Marketing Blog - TopRank®.



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Leveraging Loyalty Data to Optimize Personalization

It’s no secret in the marketing world that the goal of a loyalty program is two-fold: to improve customer acquisition and retention while collecting customer data. The idea was that the latter would contribute to the former by allowing a business to gain a better understanding of their best customers’ buying habits and preferences in order to keep them and attract more like them. That has been accomplished primarily by marketing to a set of personas based on patterns identified in the data collected.

Those generalized personas were a boon for businesses when loyalty programs were in their infancy, but in today’s data-rich age, an evolved loyalty program will put that data to work in order to hyper-personalize individual customer experiences. And that’s what customers have come to expect. Recent research found that 91% of consumers are more likely to shop with brands who recognize and remember them well enough to provide relevant offers and recommendations. If your business has a loyalty program, you have the data that will allow you to provide exactly that, to the nth degree.

The first step is to integrate loyalty data with all the other customer data you collect, from all sources. This includes purchase history (both online and in-store), app usage, browsing behavior, and social interactions. Once you have all that data in one place, you can optimize personalized content based on that data across all touchpoints.

Here are just a few examples:

Connect Loyalty Data and Purchase History

Loyalty programs have traditionally been based primarily on spend amounts, i.e. spend $1.00 to earn 10 loyalty points. But how much a customer spends fails to take into account what they’re spending their money on. Imagine a long-term Designer Shoe Warehouse loyalty member who is repeatedly presented with loyalty deals on high heeled pumps and dress boots, despite the fact that data shows years worth of past purchases for casual flats exclusively. That’s a bad customer experience. But it’s one that can easily be improved simply by connecting what the user buys with the rest of their loyalty data.

Connected data will allow you to tailor loyalty offers to each individual customer’s purchase patterns — no matter how loyal a customer might be, there’s simply no point in offering them a deal on something they’ll never buy. When you customize your loyalty offers based on purchase history, your customers are far more likely to both appreciate and take advantage of them, solidifying their loyalty and positively impacting your bottom line.

Surface Loyalty Status Online and In-App

If you connect your loyalty program to your app (if you have one) and/or your website, and encourage your customers to browse while signed in, you will be able to present loyalty offers while the customer is shopping. A customer browsing a particular product line will be more likely to purchase if they are aware of things like, “Purchase this item to receive xxx bonus rewards points,” or, “Your Gold status entitles you to receive xx% off at checkout.”

Connecting your loyalty program with your website/app experience will also allow you to surface program benefits available to a user while they’re actively making a purchase decision. For example, a customer shopping for airline tickets would appreciate being reminded that, “Your gold status allows one checked bag per passenger at no extra charge.” Or a traveler booking a hotel room might book an extra night if you remind them that, “You’re just xx points away from Premier Loyalty status. Book three nights to qualify for a free upgrade and complimentary WiFi.

Tying it All Together in Emails

The perfect place to tie all that data together is in your emails. Promote your loyalty program in your marketing emails but if you already know the customer’s loyalty status — and ideally, you should — then use that real estate for personalized offers based on loyalty status, purchase history, or both.

Beyond marketing emails, you should also be encouraging loyalty program sign-ups in your transactional emails. Avoid annoying people who are already loyalty members by making that sign-up offer dynamic, to display an alternate offer to existing members.

Once your loyalty program data is sufficiently integrated, you’ll also be able to go a step further to personalize the content and offers presented in digital receipts and shipping confirmations based on both the customer’s purchase history and their loyalty status.

For example, if a customer buys an item online, a typical receipt email might include a selection of related products, such as ‘You might also like…’  But those recommendations are usually based on the product, not on the customer, which means the list can potentially include items already purchased. And let’s face it, no one likes being offered something that’s already hanging in their closet.

But if you have your user’s purchase history and their loyalty status combined, imagine how specifically personal those offers can be?

  • You already have [product A] and [product B] - buy [product C, D, or E] for 50% off by redeeming xx rewards points.”
  • “Exclusive to Platinum Loyalty Members! Buy [accessory A, B, or C] for [previously purchased product] and get [accessory D] free!”

Transactional emails are also the perfect place to surface loyalty status and upcoming rewards. For example, “You earned XXX points on this purchase. You’re just XX points away from Super Loyal status!.”

You might be thinking you already do this in your loyalty program emails. But loyalty emails are almost never personalized based on purchase history, just as transactional and marketing emails are rarely personalized based on loyalty status. Personalizing both types of emails, based on both sources of data, can put you that much closer to true, one-to-one personalization.

See how more personalization and better use of data can make all the difference with “Accelerate Your Marketing Efforts.”

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