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We’re Grateful for Our Amazing Clients

We’re Grateful for Our Amazing Clients

Here in the U.S., it’s Thanksgiving. Which means it’s a perfect time to pause and reflect on what we’re grateful for. We’re grateful for strong coffee. We’re grateful for stronger cocktails. We’re grateful for the passionate, creative, curious people who come to Emotive Brand every day to make brands matter more to people. And of course, we’re incredibly grateful for our growing list of clients that give us their time, expertise, and trust to help them transform their brands. We couldn’t do it without them. As we sign off for the rest of the week, we wanted to do a quick roundup of some of...
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Generation Z: A New Generation With New Challenges for Brands

Generation Z: A New Generation With New Challenges for Brands

Gen Z, Already? For the past several years the spotlight has been on one generation: yes, millennials – the most studied and arguably the most sought after (or talked about) generation by brands and businesses to date. We, for one, have discussed: what brands they love, where they put their money, where they put their loyalty, why where they work matters, if all the “millennial advertising” hype is even worth it… Now, it seems the focus is shifting. The internet, advertisers, and marketers today are starting to pay a little more attention to those millennials’ younger siblings:...
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Brand Affinity: The Discipline of Choosing Who Loves Your Brand

Brand Affinity: The Discipline of Choosing Who Loves Your Brand

Want Everyone to Love Your Brand? Think Again. Don’t build a brand for everyone. Build a brand for the people who will become your most loyal and loving customers. You can’t be a match for everyone – especially if you’re at the earlier stages of growth. You don’t have the time, energy, or resources to successfully connect with such large, indistinct groups. A “let’s-make-everyone-love-us” mindset will only dilute what some people could really love about your brand. When we work with clients on developing target audiences, they often want to become like Nike or Apple – a brand that...
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Brand Belonging, Essential to Building Better Brands

Brand Belonging, Essential to Building Better Brands

A Belonging Deficit We all want to belong. It’s part of what makes us human. The need for belonging isn’t new, but how we connect with others has changed, and not necessarily for the better. We have shorter attention spans. We glance from screen to screen so we often don’t feel completely part of any given experience. Not surprisingly, studies show feelings of anxiety, loneliness, and disengagement increasing, especially amongst younger generations. Many people blame this sense of isolation solely on technology. But there are other fragmenting factors in addition – decreasing levels of trust...
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Emotive Brand and Emotive Branding: Our Origin Story

Emotive Brand and Emotive Branding: Our Origin Story

Brands for the Better The idea of emotive branding – and the creation of our agency, Emotive Brand – flowed from our desire to make a positive difference in the way people and brands interacted with each other. These were our goals: Bridge the gap between commerce and civility. Create brands that people appreciate, respect, and actively seek out. Help employees of brands feel better about their jobs. Make partners and suppliers vie for the opportunity to work with our clients. See communities welcome our clients’ brands with open arms. As a result of all of this goodwill, our...
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Machine Learning Is the New, New Thing. But Can It Help CMOs Build Brands?

Machine Learning Is the New, New Thing. But Can It Help CMOs Build Brands?

Can big data build brands better? A few years ago, Big Data promised to radically transform the marketing landscape. CMOs were warned to master it or watch their brands get left behind. Artificial intelligence was the next new, new thing. Now the hot property is machine learning, the data-crunching tool that can find patterns in big data and make them actionable. Each of these innovations is truly transformative — and each has limitations. As machine learning gathers steam, let’s look at what it means for brands. Which challenges can machine learning tackle which still depend on human...
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