Tuesday, January 29, 2019

The State of Marketing Technology in Travel 2019: New Skift Research

The role of so-called martech in travel is robust, but so are the challenges that come with marketing technology. The trend is toward greater spend, increased adoption, and positive business outcomes. And the engine that will drive that trend is greater investment, deeper-bench teams and skill sets, and an openness to working with consumers to ensure that martech creates only the most relevant and meaningful experiences, before, during, and after every trip.

With that in mind, Skift Research is publishing Tueseday our latest report, The State of Marketing Technology in Travel 2019.

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In this report, a proprietary Skift survey opens vistas onto the state of marketing technology (martech) solutions in the travel industry in 2019. While 72 percent of Skift’s respondents said martech is critical to their competitive edge, significant attention is still required to bring the technology at work into its true and central role. This report delves into key areas that can impact the outcomes of martech solutions.

What You’ll Learn from This Report:

  • An overview of the current state of martech solutions in the travel industry
  • The roles, outcomes, and next steps of martech
  • Martech use cases for airlines, car rentals, cruises, destinations, and hospitality
  • Structural and skill needs for optimal martech execution
  • Vendors and in-house dynamics within martech
  • The artificial intelligence equation
  • Data challenges and regulatory developments

Subscribe to Skift Research Reports

This is the latest in a series of monthly reports aimed at analyzing the fault lines of disruption in travel. These reports are intended for the busy travel industry decision-maker. Tap into the opinions and insights of our seasoned network of staffers and contributors. Over 200 hours of desk research, data collection, and/or analysis goes into each report.

After you subscribe, you will gain access to our entire vault of reports conducted on topics ranging from technology to marketing strategy to deep dives on key travel brands. Reports are available online in a responsive design format, or you can also buy each report a la carte at a higher price.



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The Ultimate SEO Tool: Ubersuggest 3.0

ubersuggest

In 2018, I promised you I would release a better version of Ubersuggest for free, and I did that.

But there was one big issue: Ubersuggest only worked on a keyword level. When you put in a keyword, you get a list of more keyword ideas and content ideas.

And then when you put in a URL, nothing happened.

Well, that was before.

You can now get domain level metrics!!!!

So let’s dive into the new Ubersuggest.

Traffic Analyzer Overview

The traffic analyzer is broken down into 3 main sections: overview, top pages, and keywords.

The overview looks like this:

overview

The first section breaks some basic stats and a graph of the domain’s search traffic.

domain metrics

As you can see from the screenshot above, you’ll see how many keywords a domain ranks for, the total estimated search traffic from that region, the number of paid keywords a site is bidding on, and how much they are spending on Google Ads.

In addition to that, you’ll see a traffic graph that shows estimated search traffic a site receives over time.

And of course, a domain level overview won’t be complete without data such as backlinks, referring domains, the number of .edu and .gov links, and how much the organic traffic is worth if you had to pay for it.

Now, before you head over to Ubersuggest and type in a domain, there is one thing you need to keep in mind… Ubersuggest treats subdomains as a separate site. So if you enter in store.nike.com you will get different results than if you typed in nike.com. By typing in nike.com, you would NOT see any of the data from their store unless you typed in store.nike.com.

We did this on purpose as it allows you to analyze sites more thoroughly.

Also, within the traffic analyzer, you’ll see bar graphs that contain the overall positioning of the keywords you rank for over time.

keyword rankings

The chart above shows how many keywords a domain ranks for that are in the top 3 positions in Google, the top 10 positions, the top 50 positions, and the top 100 positions.

You already know no one clicks beyond page one, but over time you’ll want to see your site climbing the ranks. Hence, we track how many keywords are ranking in the first 100 positions.

Now let’s get into my favorite feature of the traffic analyzer.

Top SEO Pages

The second part of the traffic analyzer is a list of the most popular pages for a given domain.

top pages

For each page, you are given the title, URL, the number of visits a page receives from Google on a monthly basis, and the number of times the URL has been shared on the social web.

My favorite part about the top SEO pages report is when you click on “view all” you’ll see a list of keywords a page ranks for.

top pages

This one report will not only list out each keyword a webpage ranks for, but the position, estimated visits, cost per click data if you paid for that keyword, and how difficult it would be to rank for it.

What I love about this report is that I can put in a competing URL and see what’s working really well for my competition and then copy them. Or even better, create a more in-depth page than my competition.

Plus, if you have clients who are global, you can click on the flag at the top and see the top pages for any domain in all of the major countries.

For example, here are my most popular pages in Brazil.

top pages brazil

Top Keywords

The last section in the new Ubersuggest is top keywords.

Whether you put in your own domain or competitors, you’ll be able to see all of the organic keywords and paid keywords a site is going after.

organic keywords

When you click on the “paid” button you’ll see the list of paid keywords as well.

paid keywords

And just like the keyword research reports within Ubersuggest, you’ll have data on URLs, paid difficulty and SEO difficulty.

Conclusion

I hope you enjoy the new version of Ubersuggest. I know there are still some bugs in which the reports don’t load as fast as you want (Top SEO Pages can take up to 20 seconds to load) and you may have to clear your cache to see the new features, but hopefully, you enjoy the updates.

There are also some issues with duplicate keywords and misspellings. The engineering team is continually looking to fix this.

We do know there are many issues with duplicate keywords and misspellings in our Japan database, but we are working on fixing this as soon as possible.

So overall, I know it’s not perfect, but what do you think so far?

And if you haven’t tried it, head over to Ubersuggest and type in a domain.

PS: If you find any bugs, please email carlos@neilpatel.com

The post The Ultimate SEO Tool: Ubersuggest 3.0 appeared first on Neil Patel.



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Three Ss help make consumer insight more effective

by Nigel Hollis | January 28, 2019

Last week I took part in a roundtable with some of our clients in Poland. The conversation, led by Pavel Ciacek ranged from the big picture to the specific, but when it came to making data more meaningful three things stood out.

number-three646x366

As I have commented elsewhere on the fact that cultural fragmentation is undermining the strength of brands but, so too it may be undermining the power of consumer research. As one of the participants in our discussion noted, there is less consistency in people’s behaviour than there used to be. We can no longer safely assume that people will buy a certain type of brand simply because they buy similar ones in other categories.

Maybe this is why we agreed that when it comes to using consumer insight effectively using multiple sources of data is important. These days you cannot rely on any one data source and expect it to tell you everything you need to know to answer a specific problem. Rather it requires multiple data sources that give different viewpoints and help produce a real insight; something that transforms our understanding and helps us identify how to change things to our brand’s advantage. We talked about the fact that mining social media data can be a useful source of insight but that on its own social feedback can be difficult to interpret (never mind analyse).

Which brings us onto the next s: story. Increasingly, when insight comes from different data sources and the requirement is to produce a synergistic understanding. One that takes the different viewpoints and produces a compelling story from them. One that has a clear beginning and end, and which does not lose the audience’s attention on the way between the two. In this regard, we agreed that there was a need for more interaction between client and agency if the story was to be a compelling one. Making more time to discuss findings ahead of a presentation helps ensure that the recommendations from the research are relevant and actionable.

Last but not least we come to simplicity. I would argue that simplicity is an asset in both marketing and consumer insight. Even if people’s ability to focus on a topic has not changed – one person suggested that Millennials have an attention span of less than a second (if so, how come they can binge watch Netflix?) – brevity and simplicity help ensure that people focus on the recommendation and inspire them to take action. One client remembered a presentation done by the Kantar Czech office where the key findings were delivered in the form of posters not PowerPoint and which had made an indelible impression on the minds of those who attended.

Obviously, there is more to producing inspirational consumer insights that Sources, Story and Simplicity but what do you think would make consumer insight more inspirational? Please share your thoughts.



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To Improve Your Team, First Work on Yourself

Use Your Money to Buy Happier Time


Ashley Whillans, professor at Harvard Business School, researches time-money trade-offs. She argues more people would be happier if they spent more of their hard-earned money to buy themselves out of negative experiences. Her research shows that paying to outsource housework or to enjoy a shorter commute can have an outsized impact on happiness and relationships. Whillans is the author of the HBR article “Time for Happiness.”

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TRANSCRIPT

CURT NICKISCH: Welcome to the HBR IdeaCast from Harvard Business Review. I’m Curt Nickisch.

I keep thinking about something that a guest said recently on the show.

TERESA AMABILE: We have been living for several decades as kind of a tenant of a life structure that our organization has created for us. We know where we’re going to be at 9am Monday through Friday. Our weekends are also structured around that, because you know maybe one day or part of a day is the day we do all the chores that we didn’t have a chance for.

CURT NICKISCH: That was Teresa Amabile on episode 665. She said it in reference to her research on retirement. But what really struck me is this idea that your job even dictates how you spend your time off.

And that’s why I’m excited for today’s episode. Our guest today believes people would be happier if they spent more of the money they earn at work to get back more of their time when they’re not working.

Ashley Whillans researches the trade-offs we make between time and money – and says we often get those wrong. She says we should spend more money not just on things we like, but to get us out of things we don’t enjoy, like yard work, cooking, and commuting.

Ashley Whillans is an assistant professor at Harvard Business School. She’s also the author of the HBR article “Time for Happiness.” Ashley, thanks for coming on the show.

ASHLEY WHILLANS: Thanks so much for having me.

CURT NICKISCH: Your research concluded that the happiest people use their money to buy time. And there’s that phrase, you know, money can’t buy you happiness, but you’re basically saying that if more people used money to buy time that they could use that time to be more happy.

ASHLEY WHILLANS: Yeah. So we really like to flip this Benjamin Franklin’s adage on its head and say, “Well, if time is money, maybe also we can think that money can buy a happier time.” My research really focuses on using money to buy ourselves out of negative experiences. So subtracting negative minutes from our day, subtracting time that we spend stuck in traffic, subtracting extra work hours where we’re just spinning our wheels and really we should go home, subtracting housecleaning.

But really any way that we spend money in a way that might save us time – such as also buying ourselves into positive experiences – has reliable and positive effects on the happiness that we get from our days, our weeks, our months and our lives.

CURT NICKISCH: Even though people feel like the world is busier than ever, you know, you point out in your research that the average American, for instance, has more time for leisure than they did 40 years ago. And so it sounds like you’re saying that now that people have more time, they just spend it earning more money or taking jobs that make them busier rather than using the time.

ASHLEY WHILLANS: Yeah, I think it’s really interesting that, you know, work hours have gone down, but people are feeling more stressed. And I think it’s exactly this – we think that busyness is a status symbol. We focus our attention on getting ahead, especially in North American culture. So I think there’s this element, one, of the fact that even though we have more free time, we might fill it more with work or commuting really far away because we want to have this really nice house that we don’t get to spend any of our time in. We don’t get to enjoy because we’re always commuting to work really far.

And a ubiquitous connection to the internet also means that we experience what some researchers have called “time confetti.” So not only maybe are we trying to fill our time with more work and being more productive, but also our time is more fragmented. We’re more distracted, and that also contributes to these higher feelings of time stress.

But also, time is very hard to track and so if we have windfalls of time, we often fritter them away. So what’s interesting is that in one of my collaborators’ and mine studies, we find that buying time or spending money on time-saving services predicts greater happiness and reduces stress, not because of the objective amount of time that we saved.

Just the simple act of thinking about giving up money to have more free time seems to make people plan their time a little bit better. If I’m going to incur this cost to have this free time, then I’m going make sure I really enjoy the free time that I have.

CURT NICKISCH: What do you make of the argument though, that the future is uncertain and financial security or your financial future is often uncertain too, and so I guess some of the way we’ve been trained to think about time versus money is that, like, if you have time now and can make money, you need to save so that in the future when you’re not working, you have money to spend?

ASHLEY WHILLANS: Yeah, and I mean people who feel uncertain about their financial future are more likely to value money and they get more satisfaction out of having that value and that makes a lot of sense. If you’re not sure what your next five, six, seven years are, your overarching goal in life should be to value money so that you can feel like your future is secure and safe – much to what you’re saying. And I don’t argue that.

That doesn’t mean we shouldn’t also be thinking around the margins of whether within our discretionary income bucket – within the set of money that we spend in ways that enable us to enjoy our life – that we shouldn’t also be thinking about saving time. So that’s why I make the point, and my collaborators and I often argue that we need to be thinking about every time we open our wallet to make a purchase, a discretionary income purchase, is this money changing the way that I spend my time?

CURT NICKISCH: What’s one way that you have trained yourself to spend money on other things where maybe it was counterintuitive at first but really makes sense when you value time correctly?

ASHLEY WHILLANS: You know, going through grad school, you have no time and no money and you’re constantly trying to cut corners in every way that you can. And one thing that I did throughout all of graduate school was live really far away from my place of employment. I would spend hours on the bus every single day for five years because it was cheaper, I could live in a slightly bigger apartment with my partner, and I saved money that way.

You know, and so when I moved for my job, I had this intuition, this really strong sense that I should do the same thing. I should live in the most economical place even if it’s a little bit further away. And I really had to push against sort of every instinct that was saying, “But think about how much money you can save in rent!”

I’d just written this massive dissertation on the fact that we should value time over money, but we always get it wrong when making major and minor life decisions that I was like, “Okay Ashley. You can do it. You can pay a lot of money in rent and live really close to work so you can walk there. You’re going to be new. It’s going to be stressful. You have a million things to do.” And that was one thing that I did recently and I think it’s added a lot of happiness to my life and really reduced stress. I walk to the office, everything is walking distance to my house.

CURT NICKISCH: I feel like a lot of my behavior does come from how I first lived coming out of school from a time when I had more time than money and then just got used to doing everything myself. And there’s also the kind of the American self-reliance thing, just being able to take care of household chores, do things without having to hire somebody to do it.

ASHLEY WHILLANS: Yeah, I know, and I think this is part of the reason we see the effects that we see. So I have another line of research with Lora Park at the University of Buffalo and we look at how experiences in childhood around how much money you had and how much income inequality there was in a place where you grew up, shapes the way that adults think about their finances and make decisions, you know, 15, 20 years later.

And we do see that growing up in a more uncertain financial environment carries all the way through to adulthood. You know, it does involve a little bit of retraining. Again, I really want to return to this idea that it’s about taking small actions – not doing anything too drastic, but just sitting down and thinking about whether there’s anything you can outsource that you really don’t like, that stresses you out a lot, that you can afford.

And if there’s anything on a daily basis that the answer to that question is, “yes” – you should try it out. Try spending some discretionary income that way. You know, are there small ways I can be more efficient, that I can give up some of my money to have more time? Direct flights, grocery delivery to my house – not all the time, not outsource everything.

We show in our data that people who outsource too much experienced the lowest levels of happiness, in part probably because, again, they feel like their life must be so out of control if they can’t even do one load of laundry on the weekend. So I think you also raised an important point and we find this in our data: we want to seem self-sufficient.

One reason that we don’t ask for help enough, that we don’t outsource enough, even when we’re paying our hard earned money for someone else’s time is we want to feel like we can do it all. Especially in North American culture, we have this idea that we’re a failure if somehow we can’t have the perfect home life and be the most successful at work. I find in my studies that people feel really guilty about outsourcing even though they’re giving up money to have more time that they’ve earned.

CURT NICKISCH: There are social pressures to like – I don’t know, you can even feel extravagant if you’re having groceries delivered. I’ve definitely lived in neighborhoods where you would be looked at funny if a landscaping truck pulled up and did the work, you know, where it was expected that everybody, you know, mowed their own lawn. You might just feel guilty about doing something like that and also feel guilty about making other people do your chores for you. I just wonder if that’s like a big of what’s keeping people from doing this too and how people can get over that?

ASHLEY WHILLANS: Yeah. So we do have a paper showing exactly what you’re talking about. So, people feel guilty about burdening other people with their tasks. We also have some new data showing that customers are willing to pay more for services that are discreet. To this point that we feel pressured, we don’t want to look like we can’t maintain our own yard, heavens forbid! And so we do feel social pressure to not be outsourcing our tasks to others even though the convenience economy makes that very easy.

And I think in terms of ways to mitigate these feelings of guilt, again, thinking about what that time is going to buy you in terms of more meaningful interactions with your friends and family, more free time. You might not be able to change how many hours you work in a week, but you might be able to change how much of those hours you’re spending on yard work.

So focusing on what the time was going to get you versus what other people might think of you. And also focusing on the benefits of the job for the service provider. We found that consumers are more likely to make outsourcing purchases when they’re focusing on the benefits to the service provider, when they’re making these purchases from companies who provide a living wage and good benefits to the employees doing the tasks.

And I guess a little bit is on the service providers, or the companies rather, to make the services discreet if that’s what consumers want, given that there is a lot of external pressure to look like we’re keeping up with all of the demands of work and life.

CURT NICKISCH: Is a good way to approach this to come up with a value of your own time, like a dollar value per hour? I know this is something that, for instance, venture capitalists who are investing in startups, they tell the founder to do this. And they say, “Anything that you can have done for less than x dollars per hour, you should hire it out and don’t do it yourself.” Is that one way to do it – to try to equate time and money?

ASHLEY WHILLANS: I will get you part of the way there. So what that’s going to maybe help with is just getting you over this guilt that you might have around giving up money to have more free time – really putting a dollar value on your time and saying, “Well, if I don’t like it, it causes me stress and my time is worth more than what it costs me to outsource, then I should. I’m making a suboptimal decision.”

However, on the flip side of this, my research, research by Sanford DeVoe and Jeff Pfeffer has shown that just thinking about time as money makes people enjoy their leisure time less – be less social, less prosocial, it increases cortisol, a hormone associated with stress. And so we need to be a little careful – putting a dollar value on our time might make us maybe more likely to outsource, but it might also undermine our ability to enjoy the free time that we’ve just bought ourselves.

CURT NICKISCH: I can appreciate that too, and I hear this a lot from people who freelance, for instance, or let’s say you’re an Uber driver and you have a few free hours on Saturday. And if you go do something and you even spend money on something, you’re also calculating in your head well I’m not making this much money right now because I’m not working. And it could make it really hard to enjoy your free time because you’re often thinking about the opportunity cost of it all the time if you put a dollar value on it.

ASHLEY WHILLANS: So one thing that we’ve done in some experiments is to help people generate these opportunity costs. People are really bad at spontaneously generating opportunity costs. And this is especially true for time. So if we were not very good at thinking, “Well, if I spend three hours on this laundry, then that’s three hours that I could have spent doing something else.”

So one thing that we’ve done to take away this “Time Is Money” thinking, but also to help people recognize that every decision does have costs. We just simply remind people that if you are having a really busy weekend and you have four or five hours of chores to do at home, that means you’re going to have four or five less hours to spend in any other way that could promote meaning and happiness.

And actually just helping people remember that any tiniest decision means that it’s coming at a cost to being able to do something else seems to shift people towards making time-saving purchases, and to the conversation we were just having, is probably less likely to make people not enjoy their leisure time because they’re thinking their time is on the clock.

So just thinking about, “Well, if I do these really disliked tours with my time on a Saturday afternoon, what does this mean I’m going to miss out on?” And even just this question could help people shift their behavior more toward time, even if it comes at the expense of money.

CURT NICKISCH: There is an economic argument, sort of the comparative advantage argument that, you know, maybe instead of spending your time doing laundry or you know, getting stuff done on the weekend, you should moonlight and work a few extra hours and then have enough money to pay for that same amount of work to get done and hire somebody else to do it. And you feel like you, it hasn’t cost you – is that a good in between step or do you feel like that’s fallacy because you’re still spending the time and not enjoying it?

ASHLEY WHILLANS: I like the premise, although we know from a lot of behavioral economics research that people don’t act rationally. So, who’s to say that you’re not going to work a few more hours and then decide to work a few more hours and then because of guilt and cultural norms, you’re never going to outsource anyways?

And I think that’s actually what’s contributing to this trap in the first place, is we think, “Well, if I just make a little more money, then I can outsource to someone that can do these disliked tasks. But only if I just make a little bit more money.” But we see that even the world’s wealthiest – people with 3 million euros sitting in the bank – only 48 percent of them, or 50 percent, outsource their disliked tasks to others.

So I think the argument is solid, but I have yet to see people in my studies act in a way that’s sort of consistent with this rational economic model where, “Well, if I just make x amount of dollars and I work a little bit more hours, then the surplus that I make with this free time, I can use that to outsource my disliked tasks.”

CURT NICKISCH: What about the other end of the economic spectrum? You know, you’re talking about time poverty here, but what if you are cash-poor and you don’t have 3 million euros in the bank – does this concept apply to people at the opposite end of the socioeconomic spectrum?

ASHLEY WHILLANS: Yeah. So what we see in our data is that people who are the lowest socioeconomic status individuals in our studies – who deliberately make time saving purchases – they benefit the most from these purchases as compared to people in the middle and top end of the income distribution.

And what we think is going on there is that people who are materially constrained also tend to be time-poor. They might be working multiple jobs, they might be a single parent. They might have to commute really far away because the only place that they could live is somewhere that’s quite far away from where they work.

And so my collaborator, Colin West and I, are running a large-scale field experiment in Kenya, the largest slum, one of the largest slums in east Africa, and we’re buying women out of 10 hours, 15 hours of unpaid labor each week to really look at whether people – and women in particular who are often, especially in developing countries, burdened with most of these administrative costs, most of the burden of unpaid labor falls to women in this context.

We’re now interested in looking at whether time saving purchases, so in this case, buying women out of cooking and buying women out of laundry, which takes a long time there since they hand wash the laundry and then have to watch it dry because otherwise someone’s going to steal their laundry, so it takes a significant amount of time every week.

Whether we’re going to see much stronger effects for women living kind of at or below the poverty line, again, because people who are making the least amount of money in society often also tend to be the most time-constrained.

CURT NICKSICH: So let’s talk about some of the lowest-hanging fruit, or the best places for people to start and this is something that I think has come up in this conversation a lot because you’ve talked about laundry, you’ve talked about cooking, you’ve talked about household chores and you also talk about commuting. And are those kind of the best places to strike if you’re looking to purchase time?

ASHLEY WHILLANS: Yeah, I think they’re the easiest ways in. Things like paying someone to clean her house or outsourcing in terms of cooking – things that we have to do every day, commuting, yard work. So that’s sort of the first way in. I think importantly and maybe harder to do is thinking about where we can start trying to work less. Giving up some of our money to have more time in a more substantial way.

I have a new study that shows that college students who value money more than time, experience significant decreases in happiness over the next couple of years as compared to students who value time. Students who value time are more likely to make career choices that one, enabled them to have more free time, but also are more intrinsically motivated.

And so they experience greater happiness a couple of years out than students who are making career decisions based on money. And so the harder, maybe more meaningful thing to do for happiness, is to also think about how we can make major life decisions that enable us to have more free time.

CURT NICKISCH: So these are major life decisions like jobs, careers. But even things like which job should I take? The one that makes me drive further and has fewer vacation hours versus, you know, the one that may not be as demanding and is closer to where I live and gives me more vacation time? Those are big ones. Even if we’re already sort of stuck in our careers and can’t change that now. If I’m in finance, you know, it may be hard to switch just for happiness.

ASHLEY WHILLANS: Yeah. But maybe, you know, maybe you also think about whether you take on and promotion or not depending on how much free time you want to have. If you’re starting a family, you want to maybe be thinking about and having a conversation – not only amongst yourself but also with your partner. So you can think about time as a resource that you share with your partner if you live together and so how can you be maximizing the efficiency of tradeoffs not only for yourself but also for your partner, your family.

And so maybe it means one person is sacrificing more and one less. Maybe you both try to make some of these sacrifices together with really the end goal being having more time together as a family

CURT NICKISCH: And that means talking about it and deciding on it too.

ASHLEY WHILLANS: And we’re actually exactly doing some research on this right now – How do you even talk about time and money decisions with your partner? There’s shockingly very little data on this question and it’s so important. So we just finished a large study of working adult couples where we brought them into the lab and we ask them to talk about a financial goal or time-related goal to talk about these time, money tradeoffs.

And we’re now looking at which couples – we’re analyzing these data right now, but which couples are happier, how should you talk about these issues? So hopefully I can come back with some insights in a few months.

CURT NICKISCH: Lastly, I just – I wonder how much of this comes from the factory and clocking in and out and measuring things by hourly time. Even as salaried workers, we think about things that way. How much of this do you think is a holdover from the way people used to work?

ASHLEY WHILLANS: Yeah, I mean I think a lot of this “Time Is Money” thinking and this focus on productive outcomes does come from the Industrial Revolution, does come from when we used to – our inputs were directly quantified, you know, by time and by the amount that we produced.

But we know now that you know, our workplaces have changed so much. A good proportion of the workforce are knowledge workers with flexible hours that have to do creative work and there’s so much research suggesting that the most important, one of the most important things for creativity and productivity in these more qualitative domains, these domains that don’t have fixed outputs necessarily, or not very many of them, is time.

The more stressed we feel, the more we work, that actually comes at the detriment of our productivity and creativity in today’s labor market. So I think you’re absolutely right in the sense that a lot of this thinking is a carryover from the past, but I think we need to do a better job both as individuals and as organizations, as managers, to create a workplace and a thought process around work that reflects today’s demands.

CURT NICKISCH: Ashley, this has been really interesting and it’s a problem that I think many people have. So thanks so much for sharing your research insights into how we can do better at controlling the things that we can control, which is kind of how we spend our time and money to a large extent. So thank you.

ASHLEY WHILLANS: Thank you.

CURT NICKISCH: That’s Ashley Whillans. She’s an assistant professor at Harvard Business School and the author of the HBR article “Time for Happiness.” To learn more about time-money tradeoffs and to take a quiz on your spending behavior, go to HBR.org/time.

This episode was produced by Mary Dooe. We get technical help from Rob Eckhardt. Adam Buchholz is our audio product manager.

Thanks for listening to the HBR IdeaCast. I’m Curt Nickisch.



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The top 10 trends for 2019

The trends you need to get ahead in 2019

Another year and another chance to round up the game changing strategies coming in the year ahead. This year we are proud to say our Trending 2019 report received the top score from Forbes, who described it as “jam packed with insights, data and advice for brands.”

One of the reasons Forbes liked it so much, is that the trends update with data in real time, so that you know if movements like the FIRE movement below still have steam. And regional trends show what trends are particularly energised for your audience.

 

New innovations continually populate the online report, exploring examples such as why Neo-Civility means that you shouldn’t be scared of causing outrage among a noisy minority (like Gillette did with the “Best a Man Can Be” campaign, which has not yet impacted sales, but got everyone talking). If that’s not for you, read on for an overview of the top strategic trends for 2019 or download a preview here.

 

What’s trending in 2019

 

1. The AI Leap

Increasingly sophisticated AI pushes consumer expectations of tech capabilities, and consumers will expect concierge-like AI assistance in everyday life. The need for control drives adoption as consumers become open to AI support. It is already embedded into innovative hospitality and retail spaces.

 

2. Educator Brands

Brands become empowering advisers and fill knowledge gaps with content. Over half of consumers feel a need to be more knowledgeable. Brands take on this responsibility, expanding the touchpoints they have with their customers and improving post purchase engagement.

 

3. Neo-Civility

This trend describes the need for social safety in interactions with others in offence-sensitive, censorious and polarized times. Contrary to popular belief, this isn’t a belief held by a non-woke older consumer – instead it is 2 in 5 of young people who are scared of offending.

 

To discover all the top 10 trends shaping the consumer experience in 2019, and the data and analysis behind the trends, go to the full report. If you are already a client, log in to download the full report with access to all 25 markets. If you are not our client you can still download Trending 2019 report preview which contains detailed analysis of 2 out of 10 trends.

The post The top 10 trends for 2019 appeared first on Foresight Factory.



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Six things introverts and extroverts can learn from each other

The design school of the future is nothing like the one you went to

Travel Megatrends 2019: Premium Mediocre Goes Mainstream

We recently released our annual travel industry trends forecast, Skift Megatrends 2019. Download a copy of our magazine here and look for us to highlight individual trends in the coming days.

When writer Venkatesh Rao coined the term “premium mediocre” in 2017, he probably didn’t realize how well it would end up describing the zeitgeist.

It’s a phrase fit for our sliced-and-diced times where companies are increasingly looking for new ways to sell us average products at luxury prices. It doesn’t matter which part of the sector you look at, airlines, hotels, and tour operators are all trying it.

Premium economy isn’t a new concept in the aviation industry. What is new is the way they have divided up regular old economy. Legacy carriers have copied the likes of Southwest, Ryanair, and most notably Norwegian and introduced new fare classes.

Sometimes they are offering customers an inferior product at the same price. At other times, they are trying to convince us to part with a bit more money for something that looks slightly fancier. It’s marketing 101 redefined for the Instagram generation.

In March 2018, Virgin Atlantic split its economy product into three different segments: economy light, economy classic, and economy delight.

Economy light is a carry-on only fare and is similar to what other transatlantic carriers have done. Economy delight, however, is a different beast. It is trying to convince passengers to part with an extra $127 or so based on a random search for flights between New York and London. And what do they get for that? Mainly, a bit more legroom and priority check-in and boarding.

Get Your Skift Travel Megatrends 2019 Download Here

Rao identifies millennials, especially those on the urban east and west coasts of the U.S., as the prime audience for the premium mediocre phenomenon. Perhaps because this group — and it’s the same in Europe, Asia, and Africa — is acutely aware of its standing in society with a desire bigger than any other generation to be seen in a certain way.

Rao calls them the “rent-over-own, everything-as-a-service class of precarious young professionals auditioning for a shot at the neo-urban American dream.” It is this group of people that companies are targeting with their premium mediocre offerings. You can tell because of the number of hotels now offering avocado toast — or avocado anything — with their breakfasts.

Premium mediocre consumers are aware they are consuming premium mediocre goods, but do so anyway. It is not “clueless, tasteless consumption of mediocrity under the mistaken impression that it is actual luxury consumption,”

Rao argues, rather it is “dressing for the lifestyle you’re supposed to want, in order to hold on to the lifestyle you can actually afford — for now — while trying to engineer a stroke of luck.”

Airlines aren’t the only travel sector tapping into this cultural movement. Tour operator Thomas Cook is consciously going after the millennial market with its new branded hotel product: Cook’s Club, which goes further than avocados by actually talking up its vegan food offering.

It’s the same in the next generation of boutique hostels. As the CEO of Generator, Alastair Thomann, said: “You’re charging 4-star rates and you’re offering a 2-star service, which is what makes it so profitable.” By picking a design-led “luxury” hostel over the nondescript regular, variety consumers are signalling willingness to make a premium mediocre choice.

Boutique hotel pioneer Ian Schrager has long talked about the split within high-end hospitality and this inspired him to launch Public hotels. The concept of luxury-for-all, while not quite the same as premium mediocre, touches on some similar themes.

Rao’s essay, which appeared on the Ribbonfarm longform blog, looks a lot at the consumer responses to premium mediocre but is also worth examining f rom the point of view of marketing departments. Crucially, premium mediocre doesn’t means something is bad — who doesn’t want extra legroom and avocados every day? — it’s just about giving the experience a name.

Would companies have been able to get away with calling something signature, or luxury, when it manifestly wasn’t 10, 20, or 30 years ago? Doubtful.

In 2016, market research company Nielsen analyzed data from more than 30,000 consumers in 63 countries to look at consumer attitudes toward premium, which it defined as “goods that cost at least 20 percent more than average price for the category.”

What it found was that premium demand is truly global. Between 2012 and 2014, the segment grew 21 percent in Southeast Asia and 23 percent over the same period in China.

Nielsen wasn’t looking particularly at the travel sector, but even viewing examples elsewhere it is easy to draw similar conclusions.

“In many cases, successful innovation results from reimagining traditional category definitions,” said Liana Lubel, senior vice president of the Nielsen Innovation Practice. “For example, the dairy category in the U.S. was stagnant but, by redefining the category to include dairy alternatives such as almond milk, brands were able to offer more premium products, and therefore bring new consumers into the category and re-engage lapsed consumers.”

For decades, the most successful brands have been able to redefine their product offering, thus improving profits. But are we facing a backlash?

We live in an age of social anxiety where we signal what we are thinking though our choice of sandwiches — which, if you believe some people, is the reason why millennials can’t afford to buy a house.

It’s easy to forget that premium mediocre isn’t a bad thing, per se, it’s just that eventually consumers are going to wise up.

Download Your Copy of Skift Travel Megatrends 2019

Photo Credit: Premium economy is a phrase fit for our sliced-and-diced times where companies are increasingly looking for new ways to sell us average products at luxury prices. Vanessa Branchi / Skift



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How to Perform a Detailed SERP Analysis to Find Low-Difficulty Keywords

Why Low-Difficulty Keywords Are Worth Your Time

Backlinks are the most influential ranking factor in Google's non-localized algorithm, according to industry experts. I won't deny that there are a lot of other factors that influence rankings, but it's also important that everyone in the SEO industry understand and appreciate the influence backlinks have on rankings.

Especially new businesses, with freshly created websites, need to understand this concept: Backlinks are a prerequisite to ranking. That doesn't mean you need to be obsessed with building links, and you should never automate your link-building in any way.

Rather, instead of resorting to shady link building tactics, you need to identify low-difficulty keyword opportunities is a way to find the search result pages you can realistically compete for with your current backlink profile.

If you're struggling to drive traffic through search engines because your high-quality content is ending up on the third or fourth page of Google search results, this guide will show you how to identify the keywords you could be ranking for right now without building masses of backlinks.

Start by Gathering a List of Prospective Keywords

You're going to need a pretty massive list of keywords for this tactic—at least 100 keywords. Using the Google Keyword Planner, plug in the topics you want to explore.

I usually start broad and then narrow my search down using related topics that pop up during this process. For example, if I have a client in the industrial coatings industry, I'll start by entering the phrase "industrial coatings" into the planner and seeing what it spits out.

From there you can export the keyword list into Excel and start trimming the list down. I usually start by filtering out all of the keywords with over 1,000 searches a month: We're looking for the low-hanging fruit, and typically keywords searched over 1000 times a month will be too competitive to rank for without additional link-building and content promotion.

The keywords with lower search volume (between 50 and 200 monthly searches) are opportunities ripe for the picking. They are often terms your competitors are completely ignoring.

As you're going through this list, look for subtopics that would be worth creating content around. Subtopics in our example, the industrial coatings industry, might include things like fireproof coatings, fluoropolymer coatings, and zinc primers. Once you've identified your subtopics, plug them into Keyword Planner for a whole new list of ideas. Subtopic lists usually contain keywords with even lower difficulty than your original list, because the keywords are more specific.

To understand why subtopics contain great opportunities, look at the difference in the number of webpages in Google's index mentioning industrial coatings vs. those mentioning fluoropolymer coatings.

I'd be competing against 10 times as many webpages if I were to pursue "industrial coatings" over "fluoropolymer coatings." Of course, that is only a surface-level, anecdotal example, but it illustrates the importance of exploring niche keywords within your industry.

Once you have your list of at least 100 keywords, it's time to analyze them using Term Explorer and URL Profiler.

Combining Term Explorer With URL Profiler

Let me preface this section by saying I have no affiliation with these tools: They just happen to be the tools I use to analyze SERPs because I get to pick and choose the data I want. If you have a tool that can gather the top 10 results of Google for keywords at scale, you can substitute it for Term Explorer. And if you have a tool that attributes SEO metrics to URLs, it can replace URL Profiler. Though a tool like Moz's Keyword Explorer can be useful for finding low difficulty keywords, it doesn't provide the level of detail we're trying to achieve.

Fire up Term Explorer, copy-paste your keywords into its Keyword Analyzer, and select your location (the United States is the default).

Start the project and grab a cup of coffee... Term Explorer is now pulling and ordering the URLs off the first page of Google for each keyword, and it usually takes a few minutes to process. Once you have your cup of joe, go into the project and download your CSV.

You'll be greeted with a host of data points for each URL: Number of keyword occurrences, word count, relevancy score, Ahrefs domain backlinks, difficulty score, etc. You could stop here and use Term Explorer's difficult score, but I like to be thorough and incorporate Moz's Domain Authority and Majestic's referring domain metric into this data set.

Trim down the data points you don't care about, and fire up URL Profiler. This software allows you to sync up Moz, Majestic, Ahrefs, SEMrush, and a dozen other SEO tools in order to "profile" each URL. Once you've synced up your link-metric software, you can import the Term Explorer CSV and merge your data set with the new metrics you've chosen.

Combining Term Explorer and URL Profiler allows users to analyze Google's results pages using the metrics they trust the most! The beauty of this keyword research method is that it allows you to choose the metrics that matter to you.

Once you've merged your data, you'll get an even larger spreadsheet that you need to parse through, so I recommend trimming it down. Include metrics that analyze both on-page and off-page factors. Here are the metrics I typically use:

  • Position (in Google)
  • URL
  • Keyword in the title?
  • URL contains keyword?
  • Do headings contain keyword?
  • Number of keyword occurrences
  • Moz Domain Authority
  • Number of Majestic external backlinks pointing to the domain
  • Number of Majestic referring domains pointing to the domain
  • Number of Majestic external backlinks pointing to the URL
  • Number of Majestic referring domains pointing to the URL

Once you have your most meaningful metrics, use conditional formatting to show GREEN when metrics indicate low competition (i.e., low authority, no explicit keyword targeting) and RED when metrics indicate high competition.

Once you've gone through each column and set up your conditional formatting, you'll be left with a colorful document that looks something like this:

Conditional formatting allows you to quickly scan through your Excel sheet and find opportunities—you're literally looking for the weak links that are ranking in Google. Try to find URLs that have lower domain authority than your website, that don't have links pointing to their ranking URL, and that aren't explicitly targeting the keyword you're considering. These will be the URLs that are green across the board.

Another approach is to filter out all the competitors that have greater domain authority than your website. Let's say my client has 70 referring domains and 300 backlinks to their website. I can filter out all the URLs with more referring domains and backlinks, and focus on the competitors that are ranking with similar or lower domain authority.

After all our hard work, we're left with a treasure trove of low-hanging fruit keyword opportunities!

Assuming your website is technically sound (fast pageload speed, good internal linking structure, no penalties, etc.), you'll usually only need one excellent piece of keyword-targeted content to rank for these keywords, no link-building required (although it never hurts).

Final Considerations, Observations, and Thoughts

Think about this method as identifying the weak and irrelevant links Google is ranking and replacing them with your relevant, authoritative content. Of course, you need to be creating well-researched and useful content that Google wants to rank, but that's assumed in this process. If you're trying to rank for fluoropolymer coatings, but not answering a searcher's question about that type of coating or providing them with next steps to purchase or learn more, you're failing to answer the searcher's query and will struggle to rank.

While this method of keyword research works for non-localized (national) results, it doesn't apply to localized search results. Google is going to prioritize location over everything else when trying to answer a query like "industrial coating contractors near me." Local SEO is a whole 'nother beast, so double-check your opportunity keyword SERPs for local companies and the local 3-pack.

Another thing to consider is whether a partial match domain (or partial match company name) with low domain authority is ranking. Though the domain name itself might not be causing the company to rank, it's likely the company has enough keyword-rich anchor text linking back to its website to give it an edge. A company like "Frank's Industrial Coatings" gets an advantage in national organic results because its linked, branded mentions across the Web include the keyword "industrial coatings" in the anchor text.

* * *

This keyword research tactic has been incredibly effective in the industrial and manufacturing space because a lot of industrial companies are ignoring online marketing altogether. But I'm curious how it would hold up in more competitive verticals where SEO is a priority.

For those who experiment with this tactic, please reach out to let me how it worked for you or your client's business.



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15 Ways to Tap the Power of Collaborative Content

Two heads are better than one. Teams can accomplish what individuals cannot. Unity is strength.

I would guess you're picking up on where I'm headed...

In this article, we're going to explore the immense possibilities of content created through collaboration. Why do such a thing? I'll answer that question with a short list, and then we'll dig into a longer list of ways to bring collaborative content to life.

Five Reasons to Collaborate on Content

1. The joy of networking. I'll start with what may be the least obvious benefit. Content creation can be a lonely job? and collaboration can be the cure.

It's fun to meld minds, establish some common ground, and grind the creative gears with your peers. You make friends in the process. Doors tend to open.

2. Greater reach. In 1977, Bing Crosby and David Bowie collaborated on a recording of "Little Drummer Boy." In 1993, Bono recorded a Cole Porter tune with Frank Sinatra.

Those crooner combos are clearly odd couples. But they didn't merely make lovely music together; each of the artists reached across the aisle, figuratively speaking, and enjoyed exposure to a new audience.

Collaborative content works this way—in several ways: more platforms, more media, and a larger audience.

3. Authority. Perhaps the most obvious reason to holler-up a helper in content creation is to explore some new ground or tap into expertise you simply don't have.

4. New perspectives. It's possible you have the expertise to tackle the topic of the content you're creating, but you simply want to bring a new perspective to the party. Say you're a winemaking expert. Obviously, you can pick up new insights and tips from an experienced peer in the industry—and your audience can too.

5. Variety. I applaud consistency, but yawn at predictability. So, I submit, if you play the same card every time you publish, various forms of collaboration adds variety to your output and keeps your content fresh.

Let's now look at some of these forms of content-creation collaboration.

15 Ways to Collaborate on Content

1. Webinar. Webinars give us a classic example of collaborative content. In The A-Z Guide to Running Live Webinars, a robust guide published on the ClickMeeting blog, author Agnes Jozwiak lists six reasons for hosting a guest speaker, many of which reflect the list we looked at above.

Jozwiak writes, "If a respected industry authority endorses your products and speaks with enthusiasm, your credibility improves automatically."


ClickMeeting maintains a robust "press center" where it archives the many webinars and events in which the company has collaborated with subject-matter experts.

2. Roundup. "Rounding up" a roster of experts is a tried and true formula for blog posts, e-books, and other content types. Roundups can be a great read. Participants are likely to help comprise a social media army to promote the content many times across their networks.

In a post on the power of expert rounds, blogger Zac Johnson writes, "Not only are you creating new content and value for your audience, your site is also getting a ton of social media shares, expert exposure, and authority in the process."

A few words of caution, though: (1) Use the roundup approach only occasionally, and (2) feature a reasonable number of collaborators. The "101 Experts..." article can be exhausting to read—and create.


Source: TootSweet4Two.com

3. Interview. Expert interviews obviously predate digital media and can now apply to nearly every media format.

4. Quote. One form of collaborative content can be as simple as getting an expert outsider to chime in on piece you write or record. Orbit Media's Andy Crestodina is a major practitioner of this approach and solicits one or more expert quotes in nearly every post he publishes.

Andy writes: "You're a journalist. Contributors are your sources. If you can, add a contributor quote to every article."

Also, Andy's a popular speaker on the marketing circuit and keeps his speeches (and slides) fresh by quoting respected peers in marketing.

5. Infographic. I suppose the popular infographic content format doesn't jump immediately to mind when exploring collaborative content plays, but I've had good success with (1) creating infographics entirely based on expert quotes and (2) simply including expert quotes and contributions.


Top portion of an infographic I created for my blog featuring ideas from 22 influential marketers.

6. Presentation. Presentations (AKA slideshows) can become much more interesting with the inclusion of ideas from collaborators. In fact, I can't think of a business category where this strategy wouldn't apply.


Source: SlideShare

7. Podcast. Podcasts are a natural for collaboration. And the 2018 numbers from Edison Research (conducted in partnership with Triton Digital) show a steadily upward trend in the popularity of podcasts for five consecutive years.

Most podcasters host interview shows with subject-matter experts. Another viable strategy is bringing two or more experts together on a regular basis.


Andy Crestodina and I do this with our two-person conversation format in our podcast program Content Jam (formerly Content Matters).

8. Video. Like podcasts, video is ideal for collaboration. Video content might feature an industry influencer—or several—as well as partners, customers, or any other relevant collaborator.

I want to also mention that video you record with expert spokespersons—in interview, webinar, talking head, or other format—can be easily repurposed for audio-only, text-based, and just about any other media format.

9. Research. Buzzsumo and Moz collaborated on a research project in which they discovered that research-based studies are among a short list of content types that outperform most others in earning shares and links.

Of course, conducting research is laborious and time-intensive, which makes it ideal for collaborating. With multiple companies working together you can divide the costs, reduce the workload, and pool a larger sample.


The data above—the result of a collaboration between Buzzsumo and Mantis research—shows nearly half of content marketers now publish original research, half of those who don't are making plans to, and the majority meet or exceed their expectations.

10. Workshops and events. Rally collaborators to bring variety and intrigue to your marketing events. Here again, hosting guest speakers (and, of course, recording the sessions) lends itself to repurposing every which way.

11. Courses. Teach together. (I stole that succinct sentence from this post about collaboration by Regina.

12. Blog. If there's a no-brainer on this list, it's this one: Look for opportunities to invite experts to contribute guest posts to your blog.

Shortcut alert: Simply curate an expert's content and cite your source, or

look for ways to do that—and then some. For instance, you could find a great quote (or video, or podcast, or whatever) and invite the spokesperson to expand on their ideas in your blog post.

13. E-books and guides. Let's call this "big content"—the stuff you create, in many instances, to be downloaded from a landing page or form of some sort. You can pull collaborators into the mix where it strengthens the content, or you can even base your entire publication on collaborators.


You can extend the mileage of ambitious collaboration projects like this one, an e-book I conceived and wrote for Kapost. Featuring a series of interviews with content marketing experts, it was repurposed in a variety of ways and became the subject of a subsequent webinar featuring two of the interviewees.

14. Contests and giveaways. I worked closely with ShortStack, a SaaS company that focuses largely on enabling brands to create contests, giveaways, sweepstakes, and various forms of interactive content. I realized some of the most interesting promotions were often the result of two or more brands' collaborating on a campaign.


This Instagram post promotes a co-branded contest from the publisher FeedFeed and natural food brand Bob's Red Mill. Look closely, and you'll see the post earned nearly 10K likes in one day.

15. Case studies. Demand Gen Report's 2017 Content Preferences Survey reveals buyers use case studies more than any other content to inform their purchasing decisions.

Partner with your clients to promote their brand and deliver real-world examples of how your products and services solve problems.


Source: "Customers" section of the Help Scout website.

Collaborate to Your Heart's Content

The 15 types of content I detailed in this post are prime examples of ways to collaborate on content, but perhaps it also sparks ideas that may work for your market.

Twitter chats... Instagram influencer campaigns... User communities... crowdsourced recipe books, photo galleries...

Collaborate on anything you can think of. I've found that once you dive in, you discover a world of possibilities. And I know you'll discover that collaboration makes content creation easier, more fun, more fruitful, and, in many cases, extremely effective.



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13 Psychological Pricing Hacks to Increase Sales [Infographic]

What’s the difference between $1.00, $0.99, and $0.98? More than you might think.

We’re not talking about a few cents here. We’re talking about pricing psychology, which is explained in this infographic from Wikibuy, a browser extension that finds lower prices at other sellers while you shop on Amazon.

Retailers use pricing tricks, based on brain science, to appeal to shoppers’ perception of quality, value, and cost—driving up conversion rates in the process.

With insights like these in mind (and putting them to use in your marketing campaigns), see if you don’t start generating better sales results:

  • Prices shown in smaller font sizes are perceived as—you guessed it—smaller/less.
  • When three items of varying prices are shown side-by-side, shoppers tend to select the one in the middle.
  • Consumers tend to like round numbers (e.g., $100) when making emotional purchases and non-rounded numbers (e.g., $99.56) for rational purchases.

Got you thinking? Don’t miss all 13 of the psychological pricing insights:



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3 reasons chatbots are transforming the automotive industry


Today, consumers are increasingly engaging in chat and messenger apps (i.e., chatbots) to purchase, research and interact with businesses and their products. As Artificial Intelligence advances, these conversational experiences provide a real-time way for consumers to interact with their favorite brands – without having to stay on hold for lengthy periods or pick up the phone to speak with a representative. In fact, a recent survey reports that 89 percent of consumers want to use instant messaging to communicate with businesses and 66 percent of shoppers prefer messaging over any other communication channel.

For big-ticket items like vehicles, the implications of integrating conversational AI into marketers’ core strategies can be promising. In addition to improving the customer experience by reaching consumers in the channel they prefer, chatbots and conversational marketing can help dealers drive both online and in-store traffic, offering a win-win scenario for the brand-customer relationship.

Here are three ways chatbots are transforming the car-buying experience:

 1. Discoverability and awareness

Dealer websites offer a range of relevant information for potential customers to absorb as they navigate the early stages of the car-buying process. However, today’s auto dealers are at the mercy of traditional digital channels like paid search, display and email to drive discoverability and consumer traffic to their site.

Conversational marketing allows dealers to extend the most valuable features and capabilities of their website into the channel consumers prefer to communicate. Specifically, chatbots that live in apps like Facebook Messenger, which has more than 1.3 billion active users every month, reach an expansive audience of potential customers.

Becoming discoverable in messaging platforms means dealers can both broaden their dealership awareness and simplify how customers access the information they need during the research and consideration phases of the car purchase journey. Consumers can respond to their friends’ latest chats while simultaneously prequalifying for a finance offer.

 2. All the answers, without the pressure

Consumers can face ample stress and pressure while trying to buy a car, so unlike traditional online experiences, chatbots can solve customer problems more efficiently and effectively.

They are engineered with AI technology to dynamically respond to a range of simple to complex questions, chatbots guide conversations with consumers without relying on human input or intervention. Chatbot technology can automatically generate answers to customer and dealer-specific inquiries such as browsing inventory, determining car trade-in value, checking credit scores to pre-qualify for finance offers or making appointments. As a result, customers can leave a conversational experience feeling satisfied they received relevant information and answers to their questions before they even enter a dealership.

Car-buying customers are not the only ones that benefit from the ease of chatbot technology. By automating the research and discovery processes, chatbots streamline early stages of the dealership’s sales cycle. Because customers are empowered to self-qualify, chatbots can help dealers drive more qualified buyers into their dealership and closer to the point of purchase.

3. Always-on

In today’s digital economy, consumers expect more from businesses than simply ease and accessibility. To stay competitive, automotive dealers must be prepared to deliver a meaningful, customer-first experience. As an always-on solution, chatbots pave the way for auto dealerships to catch their target customers’ evolving expectations.

Beyond the perks of arming consumers with the key, qualifying information, chatbots provide interested car buyers an on-demand, personalized experience, 24/7. Customers don’t have to wait for a salesperson to respond to an email inquiry or deal with a flurry of phone calls. Instead, chatbots enable consumers to take control over their car buying experience and seamlessly glean the information they want, in the channel they want, whenever they want it.

And, on the dealer side, chatbots can help take some of the stress of customer service agents by serving as the first line of contact with automotive shoppers, assisting with their needs and vetting the inquiry. From there, the chatbots can be programmed to then pass along the request to a human for next steps.

As auto dealerships look to invest in innovative ways to win shoppers over, chatbots and AI technology shouldn’t be overlooked. Today’s consumers are increasingly looking for more meaningful, personalized experiences and the auto industry will have to continue to evolve and embrace the future of car buying – with both humans and chatbots.


Opinions expressed in this article are those of the guest author and not necessarily Marketing Land. Staff authors are listed here.


About The Author

Robin Shapiro leads marketing for Valassis Media Labs, the company’s incubation team experimenting with innovative and emerging products, platforms and technologies to anticipate and shape the future of consumer activation in digital media.



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Assessing Multi-Touch Attribution’s value: Is it worth the effort?


In theory, Multi-Touch Attribution (MTA) sounds like a marketer’s dream come true.

Since digital media leaves tracks for each message or interaction, and since machine learning can find patterns in all that data, the idea is that MTA can determine the incremental impact of each ad, keyword phrase, video or downloaded white paper that led to a sale or other action.

That could be a godsend, given increasingly complex customer journeys, where would-be buyers move across online and offline touchpoints, often researching and making buying decisions before encountering a salesperson.

“If [MTA] was reliably accessible,” audience targeting provider Claritas SVP of Product Strategy Jeff Bickel said, “everyone would love the concept.” But it’s complex to understand and implement, he pointed out.

Accounting for the immeasurable

For one thing, he noted, MTA is a feasible concept as long as “everything is contained online.” But many campaigns and marketing interactions include offline touches, where it becomes complicated to capture and onboard that data with digital interactions.

Given this complexity versus the need to understand the value of marketing spend, he said, marketers are always evaluating whether their investment in a particular attribution solution is worthwhile, Bickel noted.

This leads to an ongoing question for MTA, he said: “Is the juice worth the squeeze?”

Offline data is not the only issue with MTA, of course. Brian Baumgart, co-founder and CEO of attribution provider Conversion Logic, points out that different industries — such as manufacturers — have different attribution requirements when you’re assessing individual impacts of touchpoints.

He also points to the issue of what he calls “immeasurability” — factors like existing brand equity that influence a buying decision. Apple has a built-in advantage in influencing a buying decision compared to a brand new maker of consumer products, for instance, simply because it is well known.

To accommodate this and other factors, Conversion Logic’s MTA implementation involves data models customized for each type of company and best-of-breed algorithms that employ advanced machine learning and Conversion Logic’s own identity graph, supplemented with graphs from Tapad, LiveRamp and Oracle.

Tony Marlow, CMO of data and marketing services firm Infogroup, finds MTA to be “critical” for his company. In working with attribution partners, he particularly likes the time-decay model, because it gives more credit to recent messaging and helps account for brand messages over the years, such as from car companies. There are several standard attribution models.

MTA and personalization

But he cautions that MTA is not “a silver bullet,” pointing to some additional complicating factors to consider.

Marketing personalization, for instance, aspires to deliver a message that is particular to one user at a given time in a given place, often optimized in real time.

“If you’re customizing creative,” Marlow said, “it throws down a challenge to MTA,” since the model needs to account for the impact of an ad for an ice cream parlor around the corner from a specific consumer on a hot July day, even though he just committed to losing weight. The finer the personalization, the less it would seem to fit into an attribution category.

But, for Bayer VP of Media Strategy and Platforms Josh Palau, even highly customized creative can be measured for its impact. “If [the attribution] covers creative,” he said, “we can see that a Watson [personalized] ad delivers twice what a display ad does.”

While MTA generated “a lot of excitement” when it first came out because it could assign value to touchpoints across both paid and earned channels, Claritas’ Bickel said, it requires massive yet granular data and is “pretty complex to understand.” These two reasons help explain why it is gaining traction mostly in big companies, he said, because they have the requisite data and trained staff.

But mid-range and smaller companies “aren’t fully embracing it,” he said, because first-, last- or first-and-last touches “suffice for a lot of places.” The path of least resistance, he added, is to go with “what they can touch and feel.”

First, last and brew-your-own

CallRail Director of Demand Generation Mark Sullivan agreed with Claritas’ Bickell, citing his sense was that there was “not a lot of understanding” or use of MTA in mid-market and smaller companies.

His own company, which offers phone analytics, has the challenge of obtaining and merging data from trade shows with broadcast and online marketing. While CallRail’s marketing includes Facebook, where it tracks leads via UTM tracking on links in ad campaigns, it is primarily focused on first-and-last touch.

In a typical path, he said, a user interacts with CallRail at a trade show, might later click on a Google ad and go to the company website, fills out a form, and, two weeks later, clicks on the company’s listing on review site G2 Crowd that leads to a signup for a free trial. But only the Trade Show and the G2 listing/free trial are counted.

Similarly, B2B customer data platform Radius uses first- and last-touch attribution, but with the addition of a credit to the team or team member that generated the opportunity.

Resources on Paid Media and Attribution

Engagement values

Merijn te Booij, CMO of call center provider Genesys, told me how his B2B company brewed its own sorta MTA solution.

At first, it went back and forth with first and last touch attribution, which didn’t provide the desired indication of ROI. Then, it assigned 40 percent credit to the first touch, 40 percent to the last one, and 20 percent to everything in the middle.

Finally, it decided to create engagement values, with each touch having 10 percent impact but additionally weighted with the company’s scoring of its own engagement value.

Using machine learning, Genesys processed its large data set of touches-versus-outcomes over the years, so that a comparative engagement value could be determined for each touch or sequence of touches. Similar sets of engagement journeys often led to similar outcomes, he said, even though there might be 30 touches in a journey. New sales to existing accounts, of course, followed a better known set of touches than, say, the engagement journey for a new account.

Similarly, domain extension provider .ME has also concocted its own multi-point blend that is “somewhere between looking at the numbers and trying to interpret what the numbers were saying,” according to CMO Natasha Djukanovic.

The company-specific complications for .ME is that many of its sales are through partners that also sell similar products and that jointly conduct campaigns.

For .ME, Google Ads campaigns lead to the best conversions, but they are only valued at 10 percent credit because they operate “more as a trend predictor” of several campaigns through other channels, she said. Google Analytics ends up being the most valuable tool, since it lets .ME determine the referral paths from partner websites.

‘A fool’s errand’: enter incrementality

Given its complexity and data requirements, however, some marketers see MTA as a dead-end.

“Multi-touch is a fool’s errand and it will ultimately die within the next few years,” customer data platform RedPoint VP of Product Strategy Patrick Tripp told me via email.

“Because so many touchpoints with consumers are digital,” he said, the idea is that “they are therefore all trackable.”

Enough data would allow marketers to “build models to tell you exactly how much of an impact each touchpoint (paid or organic) was having,” he said, and the result would be a measurement of the resulting return-on-investment for each marketing component in a complicated customer journey.

The problem, Tripp said, is that “collecting the depth of data required to measure every touchpoint impacting a consumer’s buying decision is an insurmountable task in the real world.”

Besides, he adds, what the “smartest, most sophisticated brands” want to know is: “ ‘ How much net-new revenue am I generating from specific marketing efforts? ‘ “

Measuring the “incremental lift or incrementality of your campaigns will replace MTA,” he says, adding that incrementality has previously been ignored because it’s been difficult to implement.

Like a scientific experiment, incrementality in marketing runs a test group that receives the campaign or some variation of it, while a control group receives no campaign or an alternative one. This A/B test can then determine the net effect of the entire campaign, without having to assign values to, say, brand equity, hard-to-capture offline data or highly personalized messaging.

“Multi-touch attribution was a marketer’s dream,” Tripp says, “but it’s impossible to fully implement in reality.”

“Incrementality can not only be implemented, but actually solves the pain point of marketers trying to figure out: ‘How much business do I get when I do X activity relative to how much business do I get when I don’t do X activity?’”

This story first appeared on MarTech Today. For more on marketing technology, click here.


About The Author

Barry Levine covers marketing technology for Third Door Media. Previously, he covered this space as a Senior Writer for VentureBeat, and he has written about these and other tech subjects for such publications as CMSWire and NewsFactor. He founded and led the web site/unit at PBS station Thirteen/WNET; worked as an online Senior Producer/writer for Viacom; created a successful interactive game, PLAY IT BY EAR: The First CD Game; founded and led an independent film showcase, CENTER SCREEN, based at Harvard and M.I.T.; and served over five years as a consultant to the M.I.T. Media Lab. You can find him at LinkedIn, and on Twitter at xBarryLevine.



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The digital natives are restless


The measurement “90 percent” seems to come up a lot in my writings. One reason is obvious: For all the sturm and drang surrounding digital, more than 90 percent of retail spend still occurs in stores.

Here’s another “90 percent” yardstick. I’d say the average brand now has about 90 percent of e-commerce figured out. By that I mean they have a seamless infrastructure — a site that looks professional, offers high-level security and is user-friendly and easy to navigate. And although that’s way beyond what most brands offered during e-commerce 1.0, or even the early stages of e-commerce 2.0, it’s just the minimum requirement for being taken seriously today.

That last 10 percent is the toughest

Being 90 percent of the way there isn’t nearly enough for a brand to establish itself as an innovator and e-commerce leader. The degree of difficulty increases logarithmically past that point, sort of like the increasing orders of magnitude on the Richter scale. So, the brands that are crushing it are the ones focused on mastering that last 10 percent — meaning they’ve moved beyond merely adapting traditional retail to a digital format and are blending elements of both to create exciting new consumer experiences. And of those, most are digitally native vertical brands. (I’ll refrain from saying the figure is 90 percent, although I’m tempted.)

The reason, again, is fairly obvious. The top digital natives, such as Wayfair, Boxed, Harry’s, Parachute and Warby Parker, were free to start with a blue-sky approach rather than being forced to retrofit digital tools to a model built around physical retail.

The irony is that one of the keys to achieving success as a digitally native vertical brand has been the ability to cross over into the physical realm. Pioneers in the field intuitively grasped that customer experience was a key differentiator — and many of those same pioneers now realize that customers no longer want an experience that is confined to a glowing box.

Here are three ways that digital natives are adding tactile extensions to their marketing repertoire.

Retail stores

Although Amazon is not a vertical — in fact, it’s about as horizontal as a brand can get at this point — it is nevertheless the most obvious example of a digital native expanding into physical retail. There are now 18 Amazon bookstores from coast to coast, as well as a trio of “Amazon 4-star” stores — not to mention Whole Foods, the acquisition of which gave Amazon yet another form of crossover marketing leverage.

Real estate research firm Green Street Advisors pegs the number of retail outlets that digitally native vertical brands have opened across the U.S. at more than 600, with Warby Parker alone closing in on 100. The eyewear e-tailer has made a successful transition to physical retail not only through sophisticated market research on where to build stores but also by making sure the retail experience complements their digital identity.

Pop-ups and other experiential initiatives

Still, the transition of a digital native like Warby Parker to a bricks-and-mortar retail outlet feels a little like the transition of an “indie” rock band to a mainstream act. The band starts selling self-released recordings and touring small clubs, where they win over trendsetters and influencers. Eventually, they reach a threshold of exposure that enables them to a sign a deal with a major label deal and starts headlining at large arenas. The band has “made it” — but they’ve lost some of that “indie” cache that first attracted the trendsetters and influencers.

Pop-up stores are more in line with that original, disruptive “indie rock” spirit of the digital natives. Birchbox, the subscription beauty brand, actually played the “indie band” part to the hilt with a U.S. tour of their popup store.

More recent envelope-pushers include MaisonMarche, which brings its popup stores into the home, and The Dreamery in Manhattan, where customers pay $25 for a 45-minute nap in a sleep pod outfitted by Casper the Friendly Online Mattress Startup.

Traditional media

Just as they’ve found that “old fashioned” brick-and-mortar locations can enhance their value by creating a tangible presence, many digital natives now recognize the benefit of traditional forms of tangible media. One website labeled billboards “the hottest advertising trend of 2018.” A recent Forbes article carried the headline “Direct Mail Still Works: How to Use Tech to Elevate Traditional Marketing.”

And Away, the luggage startup, has taken the concept of native advertising to a new level. Instead of purchasing content in a magazine, they’ve published a magazine (print and digital) of their own as well as a glossy, limited-edition travel book.

Amazon got into the game (of course!) this year with a toy catalog, which CNBC notes has “a distinct retro look.” What’s not retro, as CNBC also points out, is that “Readers can … scan the product images in the catalog with their Amazon App to get more information and add them to their [online] shopping cart.”

Like the top digitally native vertical brands, Amazon — the digitally native horizontal behemoth — has realized that success isn’t a zero-sum choice between e-commerce and physical retail, or between digital marketing and tangible advertising collateral. The true innovators are combining all of those elements into a package that is greater than the sum of its parts.


Opinions expressed in this article are those of the guest author and not necessarily Marketing Land. Staff authors are listed here.


About The Author

Lewis Gersh is founder and CEO of PebblePost, guiding corporate strategy and company vision with over 20 years of board and executive management experience. Prior to PebblePost, Lewis founded Metamorphic Ventures, one of the first seed-stage funds, and built one of the largest portfolios of companies specializing in data-driven marketing and payments/transaction processing. Portfolio companies include leading innovators such as FetchBack, Chango, Tapad, Sailthru, Movable Ink, Mass Relevance, iSocket, Nearbuy Systems, Thinknear, IndustryBrains, Madison Logic, Bombora, Tranvia, Transactis and more. Lewis received a B.A. from San Diego State University and a J.D. and Masters in Intellectual Property from UNH School of Law. Lewis is an accomplished endurance athlete having competed in many Ironman triathlons, ultra-marathons and parenting.



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