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Give us more of the mascot

Hotel booking service Trivago has unveiled a brand new visual identity, complete with a new wordmark, a cute illustrated mascot and a bold new illustrative style. Also at the centre of the refresh is what Trivago calls a “first of its kind” AI-driven ad campaign.

The new look is delightfully friendly, right down to the smiley door hanger mascot and the new wordmark’s clever incorporation of a checkmark (“representing how easy it is to find a hotel that suits your needs”). The graphic design work here is top notch, so it’s a little bizarre that Trivago has chosen to dedicate so much precious press release space  to the aforementioned AI ads – arguably the least visually striking aspect of the campaign.

Designed by DesignStudio, the new visual identity is centred around the new tagline, “Search savvy. Feel super.” According to the studio, “the witty and characterful nature of the brand is brought to life through playful hand-drawn illustrations, created in partnership with Niceshit. The illustrative scenes are inspired by the trivago persona, Hank – a simple yet lovable door-hanger character.”

“Our goal was to create a simple design system that heroes our warm & witty tone of voice,” shares Diane Dear, senior designer at DesignStudio. “Hank can play a key role in this by welcoming and guiding users through the customer journey.”

Trivago

Meet Hank (Image credit: Trivago)

In an age of flat, monochromatic, sans-serif wordmarks, it’s refreshing to see such a fun and playful visual identity. But this is also the age of AI, which explains why the brand has also decided to make a song and dance of its new “first-of-its-kind” ads. Anyone worried about AI taking jobs, look away now: the ads use AI to translate a single actor’s dialogue into various languages, removing the need for various actors. “The spot is an evolution of the Mr. Trivago or Mr. and Mrs. Trivago spots that in the past had 20 spokespeople and 35 productions,” Trivago CEO Johannes Thomas told Skift. “The beauty now in leveraging AI is to have one actor in one production, and being able to cut production times in half.” You can view two different versions of the ad below.

But AI-powered translations aren’t anything particular new, and the ads themselves are missing most of the fun of the new visual identity itself. Instead of this slightly dead-behind-the-eyes actor (perhaps showing little emotion to make the AI translation job easier) couldn’t we have had lovely old Hank? Instead we have a somewhat generic-looking ad that, unless the viewer chooses to watch in its various translations, does little to belie the supposedly revolutionary artificial intelligence at play.

Still, that doesn’t detract from DesignStudio’s brilliant rebrand. Like Burger King’s sizzling new look in 2021, this is a personality-filled delight. With mascot logos seemingly on the decline, we’ll be hang(er)ing our hopes on Hank for a comeback.

Feature Image credit: Trivago

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Daniel John is Senior News Editor at Creative Bloq. He reports on the worlds of art, design, branding and lifestyle tech (which often translates to tech made by Apple). He joined in 2020 after working in copywriting and digital marketing with brands including ITV, NBC, Channel 4 and more.

Sourced from CREATIVEBLOQ

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The American Dream has always been about chasing success and making a better life for yourself and your loved ones.

And these days, it seems that many people are chasing the dream of making money on YouTube and becoming a successful YouTuber.

YouTube can be a lucrative platform for creators, with many YouTubers earning significant amounts of money from their channels.

Mr. Beast, whose real name is Jimmy Donaldson, is practically a household name YouTuber who has made tens of millions of dollars from his YouTube presence. Examples of other successful YouTubers who have made significant earnings include PewDiePie, who reportedly earned $15 million in 2019; Shane Dawson, who earned $30 million in 2019; and Ryan Kaji, who earned $26 million in 2020. Some lifestyle YouTubers are making over $10,000 a month building meaningful content on their channels.

Additionally, there are several case studies that demonstrate how much money can be made from YouTube. For example, the channel “Casey Neistat” had over 10 million subscribers and was able to earn over $12 million in a year just from YouTube ads, sponsorships and merchandise. Another example is Jenna Marbles, who has made over $30 million from her videos alone, plus additional revenue from merchandise and sponsorships.

These examples show that it is possible to make significant amounts of money from YouTube through advertising, sponsorships, and merchandise sales.

How are people using AI to make money on YouTube?

With the help of AI, the dream of making money on YouTube and becoming a successful YouTuber is becoming more accessible than ever before.

There are many AI tools that can help you create and publish videos designed to go viral, optimizing video content for maximum engagement, monetize video content through affiliate links and identify influencers who can promote your products or services to a large audience. AI can also automate the creation of video content and predict which video content will be successful, saving you time and increasing the efficiency of your video production process.

So, if you have always dreamed of making a living by creating and sharing videos on YouTube, now is the time to chase that dream with the help of AI.

It’s worth noting that YouTubers can greatly increase their revenue depending on the niche, audience, and engagement. Some niches are more valuable than others. For example, the ad earnings for a channel focused on personal finance or cooking might be more than one focused on video games or general sports news.

However, with the help of AI, creators can optimize their content, monetize their channel and use predictive analytics to make informed decisions about their content and strategies. Overall, YouTube can be a highly profitable platform for creators, but it requires a significant investment of time and effort to build a large and engaged audience.

There are several ways that people are using AI to focus on maximizing their earnings on YouTube.

Creating and publishing original video ideas

Original content is important on YouTube. To monetize, your video must be fully original and not plagiarize. This starts with the building blocks for your video, the script. You can use AI to generate the script and narration for your videos, which can be used to create viral videos that are designed to capture the attention of your audience.

For an 8-minute long video – the sweet spot for monetization – you can use these tools to help create a script that’s about 2000 words

Actionable example: Use WriteSonic, Jasper , or Rytr to write a voice over script for your YouTube videos. 

Text-to-speech

AI-powered text-to-speech tools can help you generate the script and narration for your videos. These tools can use natural language processing to create human-like speech, making it easier to create engaging and high-quality videos.

One way AI can help is by using natural language processing (NLP) to generate scripts that are engaging and high-quality. This can be done by using AI-powered text-to-speech tools, which can generate scripts by analysing large amounts of data and identifying patterns in language.

Additionally, by analysing the performance of their videos, AI can help YouTubers optimize the script by identifying which elements of the script are more likely to engage the viewers, such as the tone, the pacing, the humour and the emotional appeals.

Actionable example: Use Synthesia or Murf AI to create an audio file of your script to use as a voiceover in your YouTube videos. 

Optimizing video content

The most time consuming part of making YouTube videos is the editing process. Simply put, you can rush perfection. You can use AI to analyse the performance of your videos and make adjustments to improve their reach and engagement. This can help increase the number of views and likes on your videos, which can lead to more monetization opportunities.

Actionable example: Use In Video to make your video more visually engaging. Use Designs.AI to optimize the visual assets of your channels. Use Glasp to highlight key information in your YouTube videos for compelling summaries and descriptions. 

Monetizing video content

You can use AI to identify products or services that would be relevant to your audience and then include affiliate links in your videos. This can help you earn money by promoting other people’s products or services to your audience.

Actionable example: Use ChatGTP to generate affiliate and sponsorship ideas. Use Surfer SEO to optimize search traffic for your video. 

Automating content creation

You can use AI to automate the creation of video content, such as by using AI to generate captions, thumbnails, and titles for your videos. This can help save time and increase the efficiency of your video production process.

If you’re looking for innovative ways to generate AI-based images, Shutterstock just launched an AI feature in their Creative Flow online design platform. Harnessing the power of OpenAI and Dall-E 2, subscribers can create images based on text prompts.

Example: Use Pictory or Synthesia to make AI generated videos from text or Cutout.Pro to make compelling thumbnails for your videos. 

Influencer marketing

You can use AI to identify influencers in your niche who can promote your products or services to a large audience. This can help increase your reach and bring more customers to your business.

Actionable example: Use ChatGTP to brainstorm strategic influencers – both macro and micro – on a video topic. 

Predictive analytics

Prediction engines help creators understand how a video might perform based on previous success. You can use AI to predict which video content will be successful and which won’t, and to optimize your video content accordingly. This can help increase the chances that a larger audience will see your videos, resulting in more monetization opportunities.

Actionable example: Use vidIQ to identify and optimize your YouTube channel to grow your viewership and audience.

Feature Image Credit: Kaspars Grinvalds / Shutterstock.com

By

Contributing editor at Wealth Gang. An entrepreneur at heart, he’s passionate about meaningful ways to leverage technology and social media for business opportunities and side hustles.

Sourced from WEALTHGANG

By Christian J. Ward

The future is AI-driven, trust-centric dialogue between brands and consumers

The generative AI race is well underway, and we’re already seeing applications in advertising and marketing for creative ideation and development.

This includes one of the key pillars of digital advertising—search. As consumers, we have grown accustomed to being overwhelmed with ads and information in search engines, while being underwhelmed by experiences and results from brands on their own sites.

In the last six months, the breadth and pace of innovation has been intense. Google has had more core updates and helpful content updates targeting potential misuses of gen AI. At the same time, they’ve expanded their own use of their Search Generative Experience, which is constantly improving and prompting important debates in the SEO community. Microsoft’s Bing has expanded its partnership with OpenAI, and CEO Satya Nadella’s annual shareholder letter could have been called the “Copilot chronicle” expansion. This doesn’t even cover the mind-blowing expansion of image generation and other advancements over this same period of time.

Brands must recalibrate their approach to harness the potential of these emerging technologies. Gen AI is revolutionizing online search experiences with three pivotal shifts every brand should keenly understand.

Dialogue over monologue

For over 25 years, people have become accustomed to using shorthand when searching for something online. Searching in keywords is a skill that grows increasingly complex as the amount of available online content skyrockets, and by using more keywords in each query, people have attempted to find more precise or helpful information. This is often termed the “long tail” of search and has also caused a gap between how people normally speak with how they search online.

For instance, if someone’s ankle is hurting, they might type into a search engine, “ankle pain lower heel.” Today, this kind of search will usually return a list of monologues, such as nearby orthopedic surgeons or conditions where pain could be indicative of something serious. Alternatively, conversational AI is now able to begin a dialogue, perhaps by asking basic questions like, “How long has your ankle been hurting?” Instead of just trying to rank with SEO for a string of keywords, gen AI will enable marketers to help people refine their concerns or questions through natural, humanized conversations.

For marketers, these dialogues will drive massive changes in their quest for personalization. With conversational AI as the interface, consumers can share exactly what they want to share, and brands can focus on great responses instead of suboptimal guesses. Once consumers become more comfortable with engaging in a dialogue, the days of creepy targeted ads and invasions of consumer privacy will be over. When a consumer freely offers details on what they seek and why, the brand can leverage that zero-party data to personalize their experience. Trust is built through dialogues, not infinite monologues algorithmically ranked in search engine results.

Most importantly, these AI-driven dialogues open unprecedented opportunities for brands to engage each person individually. AI-powered discussions will meet every consumer where they are in terms of their language, reading level, cadence and more—an entirely new level of cognitive accessibility.

Offers, not ads

The future of AI-powered conversations points to sweeping changes in brands’ approach to advertising. Today, significant portions of ad budgets are spent on merely defending objective search questions in top search engines: “What time does [brand] store open?” “Does [brand] have [service] available near me?” These types of questions often require defensive ad expenditure, even though the question is clearly for a particular brand. But competitors bid on these brand terms and similar keywords to try to disintermediate the consumer from their brand.

Instead of defending their brand, marketers will be able to shift from ads to offers with gen AI. 90% of consumers find targeted ads intrusive and annoying—often to the point of depleting the consumer experience. However, if a consumer has a trusted dialogue with a brand, sharing only the information necessary to get the answers they need, then brands can deliver truly individualized offers. For example, a consumer planning a trip could engage with a resort directly by first indicating interest in visiting, and the resort could ask questions such as what dates the consumer wants to travel and who they’ll be traveling with. After gathering specific information, the resort is well-equipped to share offers such as activity and room discounts relevant to the consumer and what they’re looking for.

Where in that exchange is an ad appropriate? Never. Conversations like these build trust and enable the brand to customize an offer that meets the needs of that individual customer. This is the future of offer-based interactions, directly controlled by a dialogue with the customer.

Moving from privacy-invasive ad models to trust-centric dialogue models will take time. But for objective questions—which often directly precede conversion and purchase decisions—brands will utilize gen AI aggressively to take back the consumer dialogue from centralized search systems that seek to monetize ad spend.

Subjective data over objective data

Gen AI’s transformation of search starts with a massive surge of AI or AI-human output. The internet is about to see infinite content growth that will clog classic, centralized search or force it to reconsider its algorithms. This is somewhat inevitable, as marketing monologues are still necessary to attract traffic. Despite cries of resistance from SEO strategists, the use of gen AI to create billions of relatively useless blog posts is well underway.

With infinite content comes infinite subjectivity and misinformation. However, objective facts about a singular business will only come directly from that business or brand. For instance, when a consumer searches “What time does Wendy’s open?” they don’t want to see irrelevant answers (or ads) from 10 other restaurants. Wendy’s should be known as the authority on this type of objective question, and a competitor shouldn’t spend ad money on these types of scenarios.

Compare this to subjective questions, where both ads and centralized search have inherent value. With searches like “best burgers near me,” there is a genuine benefit for centralized search systems. The issue here, however, is that gen AI will cause such an explosion in subjective content that major search engines will need to carefully prioritize how to answer these questions. Reviews and digital opinions already suffer from inauthenticity, but the next wave of AI-generated subjective content will be impossible to prevent.

Once consumers become more familiar with objective search benefits, gen AI dialogue will create opportunities for brands to have honest conversations and find out what consumers want. A dialogue (through search and chat) powered by gen AI and authoritative knowledge graphs of information is the best way to get started.

Tech savviness has long been critical for marketers to succeed. And while gen AI’s impact on the industry is just beginning, now is the time for marketers to better understand how it affects and will affect search and chat. By embracing the opportunities AI creates—trust-centric dialogues and personalized offers based on objective data—marketers have more opportunities to personalize their campaigns and build deeper, more trusted relationships with their customers.

Feature Image Credit: Dusan Stankovic/Getty Images

By Christian J. Ward

Christian J. Ward is executive vice president and chief data officer at Yext.

Sourced from ADWEEK

By Ali Donaldson

Companies pivoted away from weird names in 2023, but some made questionable decisions to walk away from established branding built up over decades.

Making a good first impression with potential customers is critical for any business, and your brand name has a lot to do with that. Still, choosing a name can be an underappreciated aspect of branding.

That’s according to Justin Angle, a marketing professor at the University of Montana, who points out that few touch points on the customer journey are as meaningful as the initial introduction to the brand itself. “The name of the brand is often the first thing that the customer–or potential customer at that point–encounters, so it’s a critical part of the puzzle,” Angle says.

The names founders choose for their companies often reflect the broader culture at the time, and 2023 was no exception. Fordham University professor Dawn Lerman, who researches how language impacts consumers as they evaluate and choose brands, says 2023 marked a pivot away from weirder names and a return to normalcy. For years, startups, particularly in the technology sector, embraced disemvoweled brand names like Tumblr, Flickr, and Mud/Wtr out of necessity to avoid existing trademarks, and as a way to communicate that the company offered something unique and innovative. But over this past year, Lerman says, brand names have instead tended to be shorter, straightforward, and actual words.

“Consumers are looking for some stability in their lives at a time when there is economic trouble, social trouble, political trouble, cultural trouble, you name it,” says Lerman. “Having a brand name that is more simple, that communicates what it offers, I think is a reaction to that.”

Here are some of the brand names that resonated with consumers over the past year–and some that missed the mark.

OpenAI

OpenAI, which has dominated headlines over the last 12 months with its launch of ChatGPT and the board’s short-lived ouster of CEO Sam Altman, uses its name as a direct nod to the open-source nature of the company’s technology. “It’s a great example of a tech company that put a very simple name out there that tells us consumers, the world, what they’re all about,” says Lerman.

The name also represents broader trends in our use of language, according to University of Calgary marketing professor Ruth Pogacar, who studies how linguistics can impact brand perception and consumer choice. “Names beginning with vowels are having a resurgence perhaps with both people and brands,” she says. Think Swiss athletic brand On, supplement company Athletic Greens, and buy-now-pay-later business Afterpay, as well as iconic brands such as Adidas, Amazon, Apple, and Instagram.

Shein and Uniqlo

While OpenAI leaned into an adjective that best described the company’s ethos, two of the most successful clothing companies over the past year have names that don’t convey much of anything about their brands. They are not even English words. Still, that hasn’t deterred American consumers. Gen Z favourite fast-fashion brands Uniqlo, whose Japanese parent company reported record net profits of $1.99 billion for the fiscal year ending August 31, and Shein, which is reportedly seeking a $90 billion valuation for its planned IPO, have cultivated massive customer bases in the U.S. with names that don’t represent specific styles or product lines.

“They defy branding in a way, because there’s not much branding on the products they sell,” says Angle. “The products are sort of generic, like nice merino sweaters with no logos or patterns that aren’t really brand specific.”

Max, formerly HBO Max

This past year also included some high-profile examples of questionable branding decisions, the biggest lesson from which may be: don’t rebrand if you don’t have to. There’s no reason to throw away years of brand equity that your company has worked hard to build up. After the merger of Warner Media and Discovery, the HBOMax streaming service dropped what were arguably its three most important letters, rebranding as just Max. “HBO, to jettison decades of brand equity by renaming its app Max, which is meaningless,…it doesn’t make a lick of sense,” says Pogacar.

The University of Montana’s Angle says this name change is the latest in a long line of missteps for the brand, which has cycled through four names for its streaming app. “The HBO brand has been terribly managed in the streaming era…They just diluted it in so many ways by slicing it up.” he says. “Consolidating it into a single brand with Max is, I think, a step in the right direction, but it still feels like it’s an attempt to clean up a self-generated mass.”

Twitter rebranded to X

Warner Bros. Discovery CEO David Zaslav was not the only executive to walk away from years of valuable brand equity in 2023. This past July, Twitter ditched its bird logo and its name when owner Elon Musk rebranded the social media site as X.

Angle says it’s difficult to try to theorize a real rationale for the Twitter name change outside of Musk’s own eccentricness. “That one is like the biggest head-scratcher to me,” he says. “There is a story that’s trying to be told there. I just don’t think it makes a lot of sense.”

Despite the questionable branding decisions of Max and X, Pogacar predicts that we will see fewer embarrassing brand flops in the future. “As globalization has evolved and companies have gotten savvier, I think we don’t see as much of that anymore–which is too bad for the joke lists of terrible brands, but it’s probably good for business.”

Feature Image Credit: Illustration: Inc; Photo: Getty Images

By Ali Donaldson

Sourced from Inc.

By 

And the logo is deliciously retro.

McDonald’s has been sneakily building a brand new spin-off restaurant with an out-of-this-world theme. The new establishment named ‘CosMc’s’, has appeared in Bolingbrook, Illinois and until now has been kept under wraps – but recent images of the new building have garnered a mixed response online.

As of now, it’s unclear how CosMc’s will compare to McDonald’s existing chains but from the theming alone, it looks like we’re in for a blast from the past. This new design is certainly a change from what we’ve seen before, but McDonald’s iconic golden arches still remain one of the best logos of all time.

As you can imagine, the design of the mysterious CosMc’s is suitably space-themed, with a deep blue exterior and McD’s yellow accents (with a cameo from the golden arches of course). The CosMc’s wordmark logo is perhaps the biggest change from McDonald’s branding, featuring retro-inspired curved text that gives the restaurant a nostalgic appearance.

If you’re familiar with the intricate world of McDonald’s lore, you may recall the classic character behind the new restaurant design. CosMc was a fleeting side character featured in various McD’s ads in the late 80s and 90s – Ronald’s extra-terrestrial pal who’s arguably lesser known than other McDonald’s characters. After the success (and trauma) of the latest Grimace shake trend, do I spy McDonald’s attempting to revive another forgotten friend?

Feature Image credit: Tony Baggett via Getty Images

By 

Natalie is Creative Bloq’s staff writer. With an eye for trending topics and a passion for internet culture, she brings you the latest in art and design news. A recent English Literature graduate, Natalie enjoys covering the lighter side of the news and brings a fresh and fun take to her articles. Outside of work (if she’s not glued to her phone), she loves all things music and enjoys singing sweet folky tunes.

Sourced from CREATIVEBLOG

By Simon Harwood

Brand fame is still achievable in a new communications era

This year marked a definitive turn in the U.S. media narrative, as time spent with online video overtook TV for the first time. Americans logged an average 3 hours and 11 minutes a day consuming online video, compared with 2 hours and 55 minutes watching television. The era of captivating mass audiences with communal media moments thus appears to be over.

Forty years ago, nearly 106 million Americans united for the M*A*S*H series finale, representing 59% of the adult population. The recent passing of Matt Perry struck a collective chord, perhaps nostalgia for a special type of parasocial relationship with TV icons woven into the collective consciousness of millions. User-generated content now accounts for 39% of all content consumed; meanwhile, nearly half of YouTube viewing takes place on television sets, more than any other individual TV outlet including Netflix.

We’re hurtling toward a kind of media singularity where all media melds into the digital domain and the term “digital” itself becomes meaningless. This landscape is often characterized as one of context collapse—a breakdown of communal meaning into multiple abstract fragments, forsaking shared experiences for insulated echo chambers. A sense of detachment looms, leaving us feeling alienated and adrift, with a loss of what the Germans call gemeinschaft, a sense of community and common ground.

For mass consumer brands, this is a big problem. Not merely in terms of reaching audiences, but in crafting the shared meaning that underpins the bedrock of their value.

People simply don’t have the time to assess thousands of brand choices every day. So what others say, use and buy has a huge impact on making these choices easier. Simply put, people like brands that they know other people like—a well-known beer brand, for example, is going to be a safer choice when buying for guests at a party versus a niche brand few have tried.

Meanwhile, hypertargeting threatens to scatter us further. Yes, it will be possible in the future to ask a machine to conjure a personalized, 10-part HBO miniseries about your favourite childhood toy solving mysteries in a Nordic noir style, but just because you can create individualized content doesn’t mean you should.

Brands aren’t solo constructs; they have shared meaning across many minds. And building brands at a micro level is impossible—communicating to many utilizes “costly signaling,” with perceived high-expense media to show that the seller has a reputation worth investing in, while targeting one person outside of public scrutiny invites suspicion.

Fewer mass moments and the allure of personalized targeting are reflected in the marked decline in advertising effectiveness in IPA case studies observed in Binet and Field’s analysis since 2012.

Fame is still the answer

Let’s not abandon hope prematurely. As the advertising great John Hegarty said: Principles remain, practices change.

Binet and Field define fame-driving activities as any activation that sparks conversation, whether in the digital realm or the comfort of one’s living room. Fame remains the key to unlocking incremental sales, profitability and sustaining price premium, among other business effects. Advertisers need both types of fame: overarching (being known by many) and resonating (being desired by many).

The internet amplifies the reach of those who ascend its ranks. Take Tube Girl: Sabrina Bahsoon’s video catapulted her overnight from the London Underground to the echelons of Paris Fashion Week and partnerships with MAC Cosmetics and Bentley.

Memes suggest a culture that desperately seeks shared community. Some are born from cultural moments mixing with the innate weirdness of the internet—see Kendall Roy’s transformation into social media’s favourite “babygirl,” or “He’s just Ken” fuelled by the all-conquering Barbie phenomenon this summer. Others, such as the Anakin-Padme meme, are more slow-burn, accruing widespread meaning over time until they hit a critical mass where universal comprehension allows for subversion and playful riffing.

Internet culture has become mainstream culture—”As Seen on TV” has been replaced with #TikTokMadeMeBuyIt.

How to be internet famous

A key driver of fame is standing out from the sea of conformity. Algorithms reward arresting and distinctive content with eyeballs, and consumers reciprocate with their wallets further down the line.

In May 2022, 91% of those aged 18-25 in the U.S. agreed, “There is no such thing as mainstream pop culture anymore.” But the question was just a tiny bit leading. After all, we’re also told Gen Z “prefer brands with a sound ethical purpose” in a world where Shein exists.

It’s a paradox that culture among young people is both more complex and more homogenous than previous generations. The distinct cultural codes, music, dress and style of different subcultures—goth, punk, techno, grunge, emo, indie—have been replaced by a more fluid, multifaceted outlook, dipping in and out of different interests and passions like a cultural magpie.

Young people arguably now exist in a more globalized, shared culture, with more common ground between them than is assumed. This means new ideas can be quickly shared across borders to millions of people. However, it is much harder to build mass reach and consensus across generations.

The key to relevance starts with listening but not simply reacting to every passing trend, which starts with using social listening tools to identify previously untapped contexts and conversations that align with what they have to say before making their move. Brands need to get strategic with what they do and don’t try to be a part of.

Culture mapping your audience’s interests is a good place to start investigating areas of potential. However, this also means brands need to get comfortable with appealing to one subculture at a time and scaling up their commitment quickly once they get a foothold with any particular interest group.

As the gatekeepers of culture, creators offer a valuable shortcut to get started. But brands need to tread carefully to establish their credentials in the space. Viewers know the score with paid promotions, and any partnership that feels off-key is damaging to both brand and creator.

Beyond authenticity, brands should signal the level of trust with creators to cement the brand meaning—for example, allowing them to play with their distinctive brand codes in refreshing new ways, demonstrating a level of integration far beyond mere product placement.

Keeping the brand before the public

Shared meaning and brand fame are still desirable, and achievable, in 2024. But it requires a shift from winning share of voice within an enclave to winning a share of mind in the broader culture. Each channel still boasts a unique strength: Out of home stands as the last truly broadcast bastion; cinema leverages its immersive scale; social media thrives on the sharing and remixing of culture. Online video, contrary to the naysayers, rivals television in eliciting the emotional resonance essential for enduring brand-building.

TV will still be able to charge a considerable premium for the rare moments when it can recapture the shared glories of the past. This year’s record-breaking single-channel viewership of 115 million tuning into Super Bowl 57 is testament to the enduring allure of communal experiences. But the rewards for brands that can maintain visibility, embrace public-facing narratives, avoid the siren call of hyper-personalization and sustain cultural relevance are substantial.

Collective moments stand as islands of common ground in the vast oceans of content. The pursuit of these shared moments is paramount for the enduring health of mass-market brands.

Feature Image Credit: CSA-Printstock/Getty Images

By Simon Harwood

Simon Harwood is global effectiveness director at Billion Dollar Boy.

Sourced from ADWEEK

By Walker Smith

The results here come from a 2016 Kantar Knowledge Point report about five situations in which Kantar data show bad advertising can help competing brands. In other words, spending your ad dollars on behalf of the competition, not yourself.

The five situations:

  1. Similar brands. (When your doppelgänger gets all the credit.)
  2. Similar branding devices. (Imitation is sincere flattery but bad branding).
  3. Parent/sub-brand confusion. (Too much family resemblance.)
  4. Misattribution to market leader. (The big wheel gets all the grease.)
  5. Misattribution to everyone. (Shining a light on everybody.)

To put it another way, these are situations in which a brand fails to create enough difference. Difference builds brand value, but difference is a matter of communication, not product. It is what people believe about a brand—so advertising is critical to difference.

A Multi-Faceted Problem. Bad advertising hurts a brand in many ways. These charts are drawn from Kantar client work on behalf of Brand A, a mobile phone brand. In this category in the markets of interest at this point in time, many brands overlapped in terms of imagery and benefits. Brands A and B, especially. As part of diagnosing what was going on with Brand A, Kantar assessed its advertising. On the left, it’s clear that the ad was bad in multiple ways. To begin with, it failed to break through the attention span of 59 percent of consumers. Then, among those reporting some sort of recognition, just as many attributed it to other brands. Contrast that with the advertising of Brand B, which was working at roughly the level to be expected. However, Brand B had been off-air for a long time, yet, as seen on the right, its reported awareness went up. Courtesy of Brand A’s bad advertising.

How Bad Advertising Helps Competitors

Motivating, Too. What’s examined in the Kantar report from which these results are drawn is memorability, or the power of advertising to bring attention and recognition to a brand. That’s important, but not nearly enough. If the difference communicated—and recognized and properly attributed—is not motivating, then all is for naught. Difference alone is never enough. It’s never a matter of mere difference, even though many discussions of difference talk about it in isolation. It must be a difference that is motivating and meaningful. It must give people a compelling reason to buy. It must solve a need in a unique way. Difference could be trivial. Which is the unexamined part of the results shown here. Brand A’s advertising could be bad because the difference it is communicating is so frivolous that it is forgettable, thus randomly remembered, if at all. Difference must be motivating, too.

Difference In The Doing. High-level plans have to be right, but in the end it all comes down to execution. A lot of emphasis is placed on strategy in marketing. It’s the main focus of most marketing textbooks. It’s the big ideas we like to get on panels to discuss at conferences. It’s the way tales are told and reputations are made in business media. But strategy succeeds or fails on execution. This applies to building difference as well. In whatever way brands are designed and built, if difference is lost in the advertising or other communications, then the strategy fails.

Not because the strategy was bad, but because the strategy was badly executed. This is one reason why there is so much heat in the debate about difference vs. distinctiveness these days. The latter is little strategy and all execution. But there’s a confusion. Just doing things matters, but doing things that push strategic difference will always matter more.

By Walker Smith

Sourced from Branding Strategy Insider

By Alex Quin

While discounts and promotions can provide a temporary boost in sales, their long-term sustainability is questionable. Not only do they decrease revenue, but they also don’t necessarily foster genuine brand loyalty.

As a seasoned professional in the digital marketing industry, I’ve had the opportunity to collaborate with a variety of clients, helping them to strengthen their brand loyalty initiatives. In this article, I aim to offer valuable insights and strategies on how to nurture authentic brand loyalty in the highly competitive modern marketplace. After a decade of experience in my agency, I’ve learned the importance of marketing not only for the first sale but also the second, third, fourth and beyond.

Understanding Brand Loyalty

Brand loyalty is more than repeat purchases; it signifies a deep-rooted emotional connection between a customer and brand. This bond goes beyond transactional behaviours, reflecting a genuine preference for a brand over its competitors, often driving consumers to advocate passionately for it.

Research has shown that an increase in customer loyalty by just 7% can increase customer lifetime value by more than 85%. Again, the core of this loyalty is emotional connection. Consumers today align with brands mirroring their values, whether environmental, social or ethical, making values-based loyalty essential for meaningful connections.

Why Discounts Aren’t Enough

Discounts can grab immediate attention in a crowded marketplace, but they come with inherent limitations. First, they tend to attract price-sensitive shoppers, who may not return once standard pricing resumes. Additionally, frequent discounts can diminish the perceived value of a brand, causing consumers to question its quality. Discounts not only risk eroding profit margins but can also set an expectation of continual price reductions, leading to unpredictable sales and revenue.

Ingredients For Lasting Brand Loyalty

Exceptional Customer Experience

By providing top-notch customer service, brands can differentiate themselves in a saturated market. Every interaction, whether online or offline, should leave a lasting positive impression. An exceptional customer experience means meeting customers’ needs even before they realize they have them. It’s about making every touchpoint seamless and memorable. Take Amazon, for example. Its easy-breezy return policy is like a breath of fresh air for customer satisfaction.

A smooth, engaging customer experience is not just about meeting expectations; it’s blowing them out of the water. That’s the secret sauce to turning customers into raving fans and brand advocates. Keep it informative and real, and always back it up with the facts.

Personalization and Customization

Personalization and customization are at the forefront of modern consumer expectations. A prime example is Spotify’s “Wrapped” feature, which delivers annual personalized music summaries to users based on their individual listening habits.

This approach from a generic, one-size-fits-all strategy to one that adapts to and reflects the unique preferences and behaviours of each user creates a deeper, more intimate connection with users. Such personalized experiences not only resonate more strongly but also foster greater brand loyalty as consumers feel seen and understood by the brand.

By leveraging the power of personalization and customization, brands like Spotify are able to meet their audience’s specific needs more effectively, thereby enhancing the overall user experience.

Storytelling and Brand Identity

A compelling brand story can humanize a business and create an emotional bond with its audience. By sharing the journey, values and mission of your brand, you’re inviting consumers to be part of a larger narrative. This goes beyond mere purchasing and moves into the realm of authentic engagement and genuine connection.

Community Engagement

Community engagement is about more than social media interactions. Building a brand community where customers can interact, share experiences, and even voice concerns is invaluable.

Engaged communities foster trust and provide brands with honest feedback, ultimately driving brand development and innovation. Furthermore, a tight-knit community can lead to increased brand advocacy and organic growth.

Transparency and Authenticity

Consumers are more informed than ever, and they appreciate transparency and authenticity from brands. Whether it’s being open about sourcing practices, admitting to mistakes, or sharing company values, honesty resonates. Authentic brands build trust through transparency, and trust is foundational for lasting loyalty.

The Key To Long-Term Success

Loyalty can be divided into two primary types: transactional and emotional. Transactional loyalty comes from routine, habit or incentives like discounts. While this type of loyalty can drive repeat purchases, it’s often conditional and can easily shift when a better offer comes along.

Emotional loyalty is deeply rooted in feelings and sentiments. It’s the difference between buying a product because it’s on sale and buying it because you truly believe in its quality, the brand’s mission, or the values it represents. This kind of loyalty is enduring and far less susceptible to external market fluctuations.

While transactional loyalty might deliver quick wins, emotional loyalty promises sustained success. When customers feel emotionally connected to a brand, they not only purchase more but also advocate for the brand, leading to organic growth via word-of-mouth recommendations—the best kind of advertising a business can have.

These groups of customers are also more forgiving of mistakes, provided the brand remains authentic in its response. Essentially, emotionally loyal customers are the backbone of a brand’s stability in the ever-evolving market landscape.

Maintaining Loyalty In Changing Times

The market is ever-changing, driven by evolving consumer preferences, technological advancements and socio-cultural shifts. To maintain and grow brand loyalty, businesses must:

• Adapt to evolving consumer needs. Regularly gather feedback and use it to inform product or service improvements. This iterative process ensures the brand remains relevant to its core audience.

• Innovate. Brands that stagnate can quickly become irrelevant. By continually innovating, you can stay at the forefront of your industry and keep your audience engaged.

• Stay true to core values. While tactics might need to adapt, the brand’s core values should remain constant as consistency in values offers a rock of stability that loyal customers will cling to.

Conclusion

Building brand loyalty in today’s competitive market requires more than just enticing price tags. By focusing on cultivating emotional loyalty, brands can forge deep, meaningful connections with their audience. This not only drives repeat purchases but fosters a community of advocates. By understanding the distinction between transactional and emotional loyalty, brands can tailor their strategies to achieve lasting success.

Feature Image Credit: getty

By Alex Quin

Alex Quin is CMO of award-winning Digital Marketing firm UADV. He is a full-stack marketing expert, global keynote speaker & podcast host. Read Alex Quin’s full executive profile here.

Follow me on Twitter or LinkedIn. Check out my website.

Sourced from Forbes

BY CHRISTOPHER TOMPKINS 

It’s no secret that social media has become a very important part of our lives. It’s not just about connecting with friends and family — it’s also home to brands and creators building communities.

o far, we’ve all enjoyed free, ad-supported social media platforms, but that could be changing. Many platforms have seen their ad revenues drop due to several factors, and now they’re looking to make some changes to their business model.

Enter the subscription-based social media model. Today, let’s explore what this model looks like and how it could change the future of social media.

The problems with ad-based social media

Ad-supported social media platforms are focused on one thing: generating revenue through targeted advertising and sponsored content. Thanks to their large user bases and complex targeting algorithms, ads have made these platforms extremely profitable over the last few years.

However, this model isn’t without its issues, including privacy concerns, prioritization of sponsored content over more relevant content to users, and a lack of transparency regarding user data usage. This leaves many users feeling unsafe on these apps.

In response, Apple released its App Tracking Transparency feature, which allows users to stop social media platforms from tracking them. While this was a great tool for users, social platforms like Facebook announced that they would end up taking a major ad revenue hit as a result.

This was an existential threat to the ad-based social media business model, so it’s no coincidence that they all started introducing paid subscriptions before long.

Snapchat+, X Premium, Meta Verified and YouTube Premium — social media companies created these subscriptions to reduce their dependence on ad revenue. But what does this subscription-based model mean for marketers?

Understanding the subscription-based model

The subscription-based model is a mixed bag for marketers, with some distinct advantages for brands that subscribe and major risks as more users buy in. Let’s look at how this approach changes the digital marketing landscape.

Ads will be less effective — For users, one of the biggest selling points of these premium social media subscriptions is often that they reduce or outright remove ads. It’s great for users looking to free up some space on their feeds, but it could prove to be a major problem for marketers, leading to:

Loss of target advertising will make it difficult for brands to reach their ideal customers efficiently and could limit their ROI. When platforms begin to remove ads from social feeds, brands lose the ability to reach that audience, making it almost impossible for marketers to reach their projected KPIs for paid campaigns.

Increased reliance on organic reach — As audiences become harder to reach with paid ads, brands must rely more on organic reach to connect with them. This could get extremely competitive as it places brands on an even playing field with all other users on the platform. Tactics like influencer marketing will be key to reaching those premium users.

Challenges for small businesses with limited resources — Smaller brands may not have the budget to invest in influencer marketing or sponsored content, meaning they’ll face an uphill battle to reach their audience.

Leverage unique features

One of the upsides to the subscription model? To make these subscriptions worthwhile, social media platforms have a new incentive to develop new features for marketers and creators.

Take X as an example. Before, verification check marks were reserved only for large, reputable accounts. Now, any brand subscriber can verify their account, unlocking longer character counts, formatting features, editing posts and more.

Of course, there’s a dark side to this, too. You may recall a few months ago when TweetDeck, now known as X Pro, became locked behind the X Premium subscription after years of being free for all users.

To stand out from the free versions of their platforms — these subscriptions need exclusive features such as verification, improved content moderation systems, enhanced customization options and more, even if that means making users pay for something that was once free.

The elephant in the room

That’s right, we have to talk about Elon Musk and his place in the subscription-model conversation. That’s because while many platforms have introduced premium subscriptions, X is the only one that seems to be considering charging all users for access. Is that where every social platform is headed?

Short answer… no.

It’s hard enough to convince someone to pay for something that’s always been free. Still, it’s hard to see most users coughing up the cash when that something is X. It’s true that the ad-supported social media model has weaknesses, but it’s still a winning formula for making money.

Beyond profit, there’s also an ethical argument against charging all users for access to the platforms where they communicate. Not everyone can afford to pay a recurring fee for access to a social media platform.

This raises questions about inclusivity and the risk of creating digital divides, where those who can’t afford subscriptions are excluded from online communities — further deepening existing societal inequalities. For better or worse, social media has become a vital part of people’s daily lives.

Any move towards charging users must be carefully considered and balanced with measures to ensure inclusivity and fairness. A subscription-based social media model has the potential to address many of the problems associated with ad-focused platforms, but it also has the potential to create entirely new problems.

The only constant in social media is change, and that’s still true now. Ultimately, the success of such a model will depend on its ability to deliver real value to users and build trust in a more transparent and ethical social media ecosystem.

BY CHRISTOPHER TOMPKINS 

ENTREPRENEUR LEADERSHIP NETWORK® CONTRIBUTOR

Christopher Tompkins is the CEO and founder of The Go! Agency and an internationally renowned expert in digital marketing. With more than two decades of experience, he has turned The Go! Agency into a top-ten marketing agency in Florida and a top-25 digital marketing agency nationwide.

Sourced from Entrepreneur

By

Let’s be real, it’s AI’s (Artificial Intelligence) world and we are living in it. Or at least that is what it seems like recently. Will AI replace your job? Maybe, but probably not. But you could potentially become a much more productive employee thanks to AI. Or maybe you can start leveraging websites powered by AI to help you make money online in a more efficient way.

From ChatGPT to Scribe to Stock images made completely from AI, the world is being taken by storm and it’s time to either ride the wave or get out of the ocean. With that, below are 13 products and tools the use AI to save you hours of work each day. Who doesn’t want that?

13 Websites Powered By AI That Can Save You Time At Work

WriteSonic

We have all heard of ChatGPT by now. And it is great, but WriteSonic puts ChatGPT in the yesterday’s news category. Why? Well, instead of being stuck in 2021, WriteSonic has all the relevant information you need, right now.

CutOut Pro

Cutout.Pro is one of many AI-driven photo and background editing tools. It can save a person time by accurately removing backgrounds from images, which obviously make editing easier and faster. With Cutout.Pro, users can create perfect photo montages, remove backgrounds in a single click, and perform a range of other tasks. It’s a great tool for photographers and the like.

Scribe

Scribe

Making tutorials and guides is a laborious process (See also: boring and annoying). That’s where Scribe comes in. In literally seconds, Scribe can make an step-by-step guide to any process.

Murf AI

Murf AI

Hate the idea of having your voice on video? No problem. Murf AI can turn your text into human-sounding voices that are very, very realistic. This is ideal for creating videos for YouTube, Instagram or anything else that requires an actual human to speak.

Glasp

Glasp

Glasp has a number of logical uses, but its ability to generate text summaries of any YouTube video might be our favourite. When people talk about how AI can save you hours and hours of work, this is what they mean.

TLDR This

We live in the “Too Long, Didn’t Read” era. With so much information, it can be overwhelming sometimes. That is where TLDR This comes in, by preventing an overwhelming amount of information. The site can remove ads, popups, graphics, and other distractions to provide a clean and focused reading experience. *Chef’s kiss*

DALL-E 2

StockAI

This image was created with AI. Is it as real-looking as a actual dogs? No. Is the woman’s hand extraordinarily long? Yes. (Wow, that is SOME hand). That all said, stock images generated using AI are only going to get better and more life-like. This will be a huge benefit to bloggers and creators who are constantly looking for unique images to use.

That is where DALL-E 2 come in. It is a powerful artificial intelligence system developed by OpenAI. It is designed to generate images from textual descriptions, and it can generate images of never-before-seen objects based on the text input. The images generated by DALL-E 2 can be surprisingly detailed and accurate, and the system can learn to generate images of abstract concepts, such as feelings and environment. Now if they could only perfect creating human hands to scale.

Runway

Runway allows you to take any idea you have and make it real just by writing it. What does that mean, you ask? It means you can use Runway’s 30+ AI Magic Tools, and real-time video editing, to make amazing content. Content like your own AI-powered videos or movies. Whoa.

Supermeme AI

Supermeme AI

The name Super Meme says all you need to know. Memes made using AI and zero cleverness on your part. Super!

Jasper AI

Jasper.ai is an AI copywriting tool that helps users create content faster. It is trained with direct-response marketing frameworks and real high-converting ad copy, so it is able to generate content that can effectively engage users. It also includes a Chrome extension that allows users to quickly write emails and create content directly in their browser. With its AI-generated content, users can save time and produce better copy in a fraction of the time.

Avatarai

Avatar AI

Avatarai.me is an AI-powered avatar maker that allows users to easily create digital art from selfies or images. It uses NVIDIA’s foundational graphics, simulation, and AI technologies to generate realistic avatars in a variety of styles, such as anime or fantasy. The avatars are generated quickly and efficiently, saving both time and energy. Lensa AI, which is built on Avatarai.me, went viral recently for its AI-generated digital art. While the pictures could be considered pieces of digital art, many are concerned about the ethical implications of free, readily available AI tools like Avatarai.me.

Play HT

Play.ht helps users create professional voiceovers in minutes without the need for expensive recording equipment. It offers over 570 AI voices in over 60 languages to automatically narrate written content. Play.ht also provides a comprehensive dashboard to manage audio files and podcast hosting. With Play.ht, users can create audio content in a fraction of the time, while also increasing their reach potential.

Unscreen

unscreen

Unscreen is a (free) online video background remover that uses AI technology to quickly and easily remove the background from any video. With Unscreen, users can cut costs and save time, as well as customize videos with a library of various backgrounds to choose from. It enables users to take a single piece of footage and transform it for different purposes, making video creation faster and more efficient.

Benefits Of Using Websites Powered By AI To Do Your Work

AI technology has obviously revolutionized the way businesses and individuals carry out their work. That much has been made clear over the last 12 months. And it’s also obvious that it has the potential to help people save time, money, and effort by providing powerful automated solutions. That all said, Here are some of the main benefits of using AI to help with work:

  1. Increased Efficiency: AI can automate mundane and time-consuming tasks, freeing up workers’ time for more important activities. On top of that, AI can also analyze and process large amounts of data quickly and accurately, cutting down on the need for manual input and increasing overall organizational efficiency.
  2. Improved Accuracy: Nothing against humans, but AI can process data with a greater level of accuracy than we can, which will reduce the risk of errors and inaccuracies.
  3. Cost Savings: AI can automate processes that would otherwise require a human workforce, saving businesses money in the long term. Is that dollar signs you’re seeing? Yes, yes it is.
  4. Enhanced Customer Experience: By using AI, businesses can be used to provide personalized customer experiences, helping businesses increase customer satisfaction and loyalty. And, believe it or not, AI can also be used to anticipate customer needs and provide fast, efficient customer service.

Overall, AI can provide powerful solutions to help businesses and individuals carry out their work more effectively. And if you’re not using AI, in a few years you will be lightyears behind your competition.

Feature Image Credit:  Gerd Altmann from Pixabay

By

C. James is the managing editor at Wealth Gang. He has a degree in finance and a passion for creating passive income streams and wealth management.

Sourced from WEALTHGANG