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Email marketing is one of those pivotal, game-changing facets of online marketing that nearly every serious marketer needs to not only know how to do — but do successfully. As you’ve learned to grow your business, you no doubt have come across email marketing jargon such as segments and drip feeds.
When you think of “a conversion”, what goal comes to mind? For most of us, a sale is the ultimate goal, so it’s no surprise that sales and conversions are inextricably linked to each other. But even though a sale might be the end goal, it’s almost never the first thing a new potential customer does when they visit your site. Yet they’re still converting, even when a sale doesn’t take place.
In the past, marketing to consumers based on things like how many pages they visited on a site were rudimentary at best. They could tell you, in broad strokes, what a customer might be interested in — but they weren’t very specific. It was a lot like trying to guess what kind of picture a puzzle might make when you only have a couple of the pieces. Behavioral marketing has changed all of that.
When was the last time you took a look at your analytics dashboard? I mean a truly in-depth look? Sure, all those high-performing landing pages and conversion numbers are great — but there’s something your analytics isn’t showing you — Engagement. “Well, that’s not true”, you insist. “I can see how many users clicked on this link or bought that product and ultimately convert ...
When it comes to creating behaviorally-targeted marketing emails, we could all use a little inspiration. After all, there are so many potential actions a customer can take that would trigger an email – how do you decide which ones are worth investing the time to create? Below are some of our favorite examples from brands across a wide range of industries.
Marketers continue to embrace personalization and all its benefits. But in this day and age, greeting customers by their first name in an email is no longer enough. And lumping them all together based on demographics won’t cut it either. Typically, marketing segmentation looks squarely at a user’s buying behaviors in trying to predict their next actions.
When sending out automated emails to your list, how personalized are they? I’m not talking about things like $firstname, or order by $date for free shipping – but actual personalization based on their behavior. According to MarketingSherpa, 39% of marketers found that sending emails automatically based on user behavior was their most effective email marketing strategy.
When it comes to discovering music you’ll love, few companies do it better than Pandora. From the core of its Music Genome Project, which studies over 450 different musical attributes to find songs according to each listener’s unique tastes, to its Thumbprint Radio, which creates a station based on other songs you’ve liked, Pandora leverages its data to the fullest.
When it comes to Big Data, it’s not how much you have — it’s what you do with it that counts. We all know that major companies like Amazon, Uber and Netflix use big data to drive everything from new product developments to predicting which movies will keep you glued to your chair — but retailers face a unique situation that many digital properties don’t.
With over 90 million customers watching a combined 125 million hours of television and movies everyday, there’s no doubt that Netflix has changed the way we watch our favorite shows. It has also become a prime force in our daily lives — integrating into everything from mobile devices to our language and culture.
As much as we’d like to think that a conversion is a nice, neat and organized path from one point to another, the conversion process is often more like a twisting road map of tangents, intersections and loops that involve a whole host of customer touch-points. Analytics attribution can help you not only make sense of the path your customer took to get to you, but also help you optimize that path.
Silos are a relic from a bygone age — when “customer experience” as we know it didn’t exist and top-down communication was the norm. Back then, it was easy to work within a self-contained departmental bubble – brainstorming, collaborating and ultimately crafting something you thought the customer would enjoy based on what your department had gathered about them.
When it comes to mailing list services and autoresponders, few services out there are more popular than MailChimp. As of June 2014, MailChimp was sending out over 10 billion emails a month. That’s a lot of communication. And there’s no one better suited to wrangle that communication than MailChimp data scientist and author, John Foreman.
When it comes to customer service trends, most marketers and customer support teams groan and shake their head. Here’s another glimpse into supposedly “what customers want” that’s supposed to make them beat a path to our doors. Except it rarely works out that way – and customer service suffers as a result of it. But now, a new trend is catching on that could change all of that.
The name Alex Karp may not mean much to you now — but it’s about to. That’s because Alex is the brains behind Palantir, the closest thing to a “killer app” the U.S. government has — a system which allows one to discern meaningful context and insights from a swamp of seemingly meaningless data. With scraps of what appear to be unrelated information, Palantir can craft intuitive ...
For many websites, an internal site search engine is a must-have. However, oftentimes it’s looked at as more of an afterthought than a true conversion optimization tool – and that in itself could be killing your conversion rate. So what should you know about improving your site search and how do you put these tips into practice? Let’s take a closer look.
It’s no secret that in 2017, like every year, marketers want to get the biggest ROI from their advertising spend. So which channels are worth your attention? A new survey from Ascend2 took a look at the most lucrative and engaging channels of the past year to determine which ones could give you the best results in 2017.
When Google launched its Knowledge Graph back in 2012, it was hailed by users and marketers alike as a breakthrough in search. Instead of sifting through page after page of results, you could instead get the detailed information you needed – and by extension, everything else you might want to know about the topic – direct in the search engine results pages.
2016 has been an exciting year full of unexpected booms and busts in the marketing and technology world, making us look toward 2017 with eager anticipation. So what predictions came true and which ones started with a bang, but ultimately fizzled out? Let’s take a closer look: 1. Blended Marketing Continued to Dominate in 2016 To the surprise of no one who monitors these kinds o ...
Analytics. Data science. Words and phrases like these tend to conjure up imagery of guys in thick glasses poring over stacks of spreadsheets with the smell of stale coffee permeating the office. But today’s data and analytics teams couldn’t be farther from the caricatures that we make of them. And the truth is, when you discover just what’s possible, it can be hard not to be ex ...