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By Annemarije de Boer

How Google’s First Employees Turned Garage Dreams Into Billions and Revolutionized Everything You Touch Online

Susan Wojcicki rented her garage to two Stanford grad students for $1,700 a month. Those students? Larry Page and Sergey Brin. That garage? Google’s birthplace. Now Wojcicki’s net worth sits around $815 million while one of her former tenants owns a $100 billion empire. The employees who joined Google before it became a verb didn’t just build search algorithms—they created the internet as we know it. One became a neurosurgeon-turned-server architect. Another

ditched Silicon Valley millions to reopen a legendary recording studio. Their post-Google lives reveal the strangest truth about early startup success: money was never the point.

14. Susan Wojcicki: From Garage Landlord to YouTube CEO

Image: Wikipedia
Wojcicki rented her Menlo Park garage to two Stanford grad students in 1998 while working at Intel. Those students? Larry Page and Sergey Brin. Smart move: she joined as Google’s 16th employee in 1999 as marketing manager, transforming garage rental income into $815 million net worth.

AdSense, Google Analytics, Google Images, Google Books—Wojcicki launched every platform that made Google profitable. As VP of Product Management, she advocated for YouTube’s $1.65 billion acquisition in 2006. YouTube CEO from 2014 to 2023, she grew the platform to over 2 billion monthly users while launching the YouTube Partner Program that made creators millionaires. Stepped down in 2023 to focus on philanthropic work and championing women in technology.

13. Salar Kamangar: The Revenue Genius Behind Google’s Empire

Image: Wikipedia

Tehran-born biology major writes Google’s first business plan. Sounds impossible until you meet Salar Kamangar. Employee #9 joined in 1999 straight from Stanford and immediately spotted the fatal flaw: brilliant technology, zero sustainable revenue model.

Kamangar authored Google’s very first business plan and became the company’s youngest vice president. Created AdWords in 2001 with a small engineering team—the automated text advertising system that became Google’s major revenue engine. He holds all four initial AdWords patents as the only named inventor. Then championed YouTube’s $1.65 billion acquisition, served as YouTube CEO from 2010-2014, growing monthly users to over 1 billion while launching YouTube Live and TrueView advertising. Media Person of the Year at Cannes Lions 2013.

12. Sergey Brin: Moscow to Mountain View Billionaire

Image: Wikipedia

Six-year-old Sergey Brin fled Moscow in 1979 when his academic parents faced persecution for their Jewish heritage. Twenty-five years later, Brin was worth $1 billion and controlled the world’s most valuable information company. 2025 net worth: $141-149 billion, ranking him among the top ten wealthiest individuals globally.

Brin and Page met at Stanford while pursuing PhDs, collaborating on the PageRank algorithm that became Google’s backbone. Launched Google from a Menlo Park garage in 1998, then served as President of Technology before becoming President of Alphabet after 2015 restructuring. Stepped back in 2019 but returned full-time. By 2023, Brin returned to lead the development of Google Gemini AI models following the release of ChatGPT. He also championed moonshot projects including self-driving cars (Waymo), Google Glass, and internet-beaming balloons through Google X.

11. Larry Page: The PageRank Revolutionary

Image: Wikipedia

Page’s Stanford PhD project called BackRub became the algorithm that ranks every website on EarthPageRank measured website authority through incoming links—revolutionary because previous search engines just counted keyword frequency. The “random surfer” model estimated user behavior while high-quality inbound links determined ranking scores.

CEO from 1997 to 2001, then again 2011 to 2015, finally Alphabet’s chief until 2019. Net worth now reaches $148-159 billion as of June 2025. Page remains controlling shareholder while pursuing flying cars through Kitty Hawk and Opener, plus electric aviation via Pivotal. Founded Dynatomics in 2023—a Palo Alto AI startup focused on optimizing product manufacturing using artificial intelligence. Won the Marconi Prize in 2004 for transforming information retrieval.

10. Heather Cairns: The Culture Architect

Image: Grunge Youtube

Google’s first HR executive and second non-founder employee faced an impossible task: build company culture while hiring the initial 200 employees during explosive growth. Most startups ignore human resources until lawsuits force their attention. Cairns joined early enough to shape Google’s DNA instead of just managing its problems.

She left in 2005, but her legacy lived on as the original voice on Google’s voicemail greeting—a quirky tradition that lasted years. Post-Google life included graduate school for painting, angel investing in women-led companies, and now leading Coastal Streets, a real estate development firm. Cairns channels Google millions toward disadvantaged women through targeted philanthropy and proves that building great companies requires building great cultures first.

9. Urs Hölzle: Code Meets Conservation

Image: Wikipedia

Swiss-American software engineer becomes Google’s eighth employee and first VP of Engineering. Hölzle built Google’s entire technical infrastructure from scratch, including energy-efficient data centers and global server architecture that would power billions of daily searches.

Reduced energy consumption in Google data centers to less than half the industry average—massive environmental impact at global scale. Transitioned in 2023 from Senior Vice President of Technical Infrastructure to Google Fellow, focusing on research and innovation. Rare breed: technologist who codes for performance and polar bears simultaneously while holding World Wildlife Fund membership.

8. Marissa Mayer: Breaking Barriers and Building Products

Image: Wikipedia

Google’s first female engineer and employee #20 joined in 1999 when women in tech was still revolutionary territory. Mayer’s track record settled any token hire debates fast. She developed Google Search, Images, News, Maps, Google Books, and Gmail—basically every product that made Google essential to daily life.

Redesigned Google’s famously clean homepage and launched the Associate Product Manager program that trained tech’s next generation. Yahoo CEO from 2012-2017 attempting to revive a dying internet giant—failed spectacularly. Now leads Sunshine, an AI startup focused on personal productivity and technology simplification. Mayer proved being first doesn’t guarantee being best, just being brave enough to try.

7. Craig Silverstein: Google Employee #1

Image: Grunge Youtube

First hire by Page and Brin means maximum risk, maximum reward. Silverstein chose correctly as Director of Technology, co-developing Google’s early search engine code and helping shape its culture. Two Stanford students’ research project became a global phenomenon partly because Silverstein contributed to core algorithms that scaled Google’s operations.

Planned to stay 4-5 years. Lasted until 2012. Left for Khan Academy as dean of infrastructure, applying Google expertise to free online education initiatives. Warren Buffett’s giving pledge signatory as of 2014, committing billions to charitable causes. Being employee #1 at Google beats winning the lottery—barely.

6. Ray Sidney: Code to Community

Image: Grunge Youtube

Harvard and MIT credentials usually lead to predictable Silicon Valley wealth accumulation. Sidney went sideways. Fifth Google employee and software engineer worked from 1999-2003, then took a year-long sabbatical to question everything he thought he wanted from life.

Environmental awakening followed. Sidney redirected his fortune into philanthropy, sustainable real estate through Big George Ventures, and environmental advocacy. Currently directs the Hertz Foundation and serves on boards focusing on education and sustainability. Early Google money bought him the freedom to save the planet instead of just getting richer.

5. Harry Cheung: The Web’s Spider-Man

Image: Grunge Youtube

Google’s web-crawling system indexes billions of pages daily. Cheung built it. Nicknamed “Spider-Man” for developing the digital spiders that crawl the internet, gathering and organizing information that powers every Google search. Unglamorous work that enables the entire modern internet.

Angel investor and Roostify co-founder post-Google, simplifying home-buying for consumers who shouldn’t need computer science degrees to purchase houses. Cheung brings Google-level technical expertise to industries that desperately need digital transformation. Real estate was just the beginning.

4. Omid Kordestani: Business Growth Mastermind

Image: Wikipedia

Employee #11 and Google’s first business operations leader solved the company’s existential revenue problem. Technical founders build amazing products. Revenue generation kills them slowly. Kordestani understood how to monetize innovation without destroying user experience.

Drove Google’s global revenue from its first dollar to more than $20 billion, overseeing explosive sales growth and monetization strategy. Served as Google’s Chief Business Officer, then Executive Chairman at Twitter. Currently suing Elon Musk for $20 million in unpaid compensation while remaining involved with numerous technology startups and serving on major corporate boards. Business integrity matters even when dealing with the world’s richest man.

3. Chris Skarakas: Business Development to Rock and Roll

Image: Grunge Youtube

Director of business development sounds boring until you discover what Skarakas did with his Google millions. Left in 2005 for “philanthropic pursuits” that included reuniting 90s rock bands through Powers Sniff LLC and creating Blip.fm for music-enhanced video games.

Most audaciously, Skarakas reopened the legendary Record Plant as 2200 Bridgeway, reviving the studio where Fleetwood Mac recorded “Rumours.” Also serves on boards for Little Kids Rock and Palo Alto Junior Museum. Google business acumen applied to rock and roll produces surprisingly beautiful results.

2. George Harik: AI Before AI Was Cool

Image: Grunge Youtube

Machine learning felt like science fiction when Harik joined as one of Google’s first ten employees. Most developers couldn’t spell “artificial intelligence,” much less build it. Harik led machine learning efforts and product development for Google Talk and Google Video—foundational technologies enabling today’s AI revolution.

Instrumental in early AdSense and AdWords system design, the revenue engines that funded Google’s expansion. Left in 2005, co-founded IMO in 2007, now runs Not Bad AI as CEO focused on advanced artificial intelligence technologies. His early machine learning work anticipated the current AI boom by two decades. Angel investor supporting promising AI startups with capital and expertise earned when artificial intelligence was still mostly theoretical.

1. Jim Reese: From Neurosurgeon to Network Architect

Image: Grunge Youtube

Stanford-trained neurosurgeon pivots to tech startup. Sounds like career suicide until you meet Jim Reese. Joined Google in 1999 with surgical precision applied to network infrastructure problems. Built and scaled Google’s early network infrastructure while the company was still funding itself with credit cards.

Reese’s infrastructure managed billions of daily queries without collapsing—surgical training provided unique problem-solving approaches to server architecture that traditional computer scientists missed. Later transitioned to healthcare and tech leadership roles, including positions at Spark and Harvard Medical School. Brain surgery prepared him perfectly for debugging distributed systems at global scale.

Feature image credit: Gadget Review

By Annemarije de Boer

Annemarije de Boer is a Los Angeles-based director and visual storyteller specializing in technology reviews and digital innovation journalism. Drawing from her BA in Psychology and decades of hands-on tech experience, Annemarije uses her understanding of human behavior to demystify complex gadgets and emerging technologies for everyday users. Her journey began as a video editor on Final Cut Pro First Edition, and her expertise spans blockchain technology, cryptocurrency obsession, and digital security advocacy on X (Twitter).

Sourced from Gadget Review

By Edited by Celine Provini

The company has been rapidly moving away from what made the old Google successful.

Alphabet’s second-quarter 2025 earnings call offered investors a clear signal: The tech giant’s aggressive AI strategy is paying off, especially in cloud.

Even as capital expenditures surge to fuel growth in artificial intelligence (AI), Google Cloud’s profitability continues to rise, marking notable progress in the company’s long-term pivot from its historical dependence on advertising to infrastructure and enterprise services.

Google Cloud: profitability with scale

Google Cloud posted $13.6 billion in Q2 revenue, up 32% year-over-year, according to CFO Anat Ashkenazi, driven by growth in “core and AI products at a rate that was much higher than Cloud’s overall revenue growth.”

The fast-growing segment’s annual run rate now exceeds $50 billion, placing Google firmly in the top tier of hyperscalers alongside Microsoft Azure and Amazon Web Services.

By

Steve studied computer science and mathematics at the University of Montana. Steve previously worked for seven years at The Motley Fool, where managed multiple real-money portfolios and wrote nearly 8,000 syndicated articles on long-term investing, stock picking, and personal finance. His work has been featured in USA Today, Forbes, TIME, Business Insider, Fox Business, Yahoo Finance, MSN Money, Newsweek, Nasdaq, Money.com, MoneyShow, and International Business Times.

Edited by Celine Provini

Celine is an experienced writer and editor covering news, features, academic/research, and legal topics for over 20 years. At TheStreet.com, Celine is a senior editor with experience across retail, stocks, investing, personal finance, technology, the economy, and travel.

Sourced from The Street

Sourced from WATC

A monumental shift has occurred in the digital distribution landscape of 2025. For content creators and publishers, a platform once heralded as a beacon of visual discovery and organic traffic has fundamentally altered its core function. Pinterest, formerly a powerful driver of website visits, has seen its utility for the creative community collapse following sweeping algorithm and interface changes. This isn’t a temporary dip in performance; it represents a strategic pivot, leaving countless creators scrambling for a viable alternative. As this crisis unfolds, Flipboard is emerging as the unexpected, yet logical, successor, championing the very values Pinterest appears to have forsaken.

For years, content creators and publishers honed their Pinterest strategies. They meticulously designed aesthetically pleasing pins, optimized descriptions with relevant keywords, and curated boards that served as crucial gateways to their online presences. Pinterest was a consistent, high-quality traffic source. However, recent algorithmic adjustments have dismantled this established relationship. Disillusioned creators now report plummeting outbound link clicks, with some experiencing traffic drops exceeding 90%. This isn’t a cyclical downturn; it is a direct consequence of Pinterest’s calculated evolution, forcing an urgent re-evaluation of content syndication strategies.

Our Story: A Decade on Pinterest Wiped Out in Months

As the online art and design publication WE AND THE COLOR, we have been active on Pinterest since 2013 (https://pinterest.com/weandthecolor/). Over twelve years, we cultivated a dedicated following, growing our account to over 152,000 followers and becoming a trusted source for creative inspiration. At our peak, our content generated over 30 million monthly impressions, driving an average of 1,800 daily outbound clicks to our website—a vital traffic source. However, since the 2025 algorithm changes took effect, these numbers have fallen off a cliff. Our follower count is now in decline for the first time in over a decade. Monthly impressions have plummeted to just 7 million and are continuing to drop sharply.

Most critically, our outbound clicks, the primary metric of value for any publisher, have dwindled to almost zero. This first-hand experience is a stark testament to Pinterest’s strategic shift away from being a partner for publishers to a closed ecosystem that no longer values external content.

The Pinterest Paradox: A Collapse of Creator Visibility

The recent modifications to the Pinterest platform have inflicted a severe blow to publishers. They are transforming a once-reliable content distribution channel into a barren landscape. This widespread frustration stems from a series of interconnected changes that collectively deprioritized the value of organic content from publishers.

Outbound Clicks Decimated by UI Friction

Perhaps the most impactful, yet subtly introduced, change was a critical update to the user interface in early 2025. Historically, a user could click anywhere on a pin’s image to be instantly redirected to the source website. This seamless interaction was a cornerstone of Pinterest’s value proposition for publishers. Now, the pin image itself no longer serves as a direct link. Users must instead locate and click a small, often inconspicuous, “Visit Site” button. This seemingly minor addition of friction has dramatically reduced click-through rates. Users, conditioned by years of intuitive navigation, are no longer instinctively reaching publishers’ websites.

The “Paid-First” Mandate

Underlying the decline in organic visibility is Pinterest’s aggressive adoption of a “paid-first” operational model. Consistent with trends across many digital platforms in 2025, Pinterest increasingly prioritizes sponsored content and its burgeoning e-commerce functionalities to maximize revenue. This strategic imperative means organic pins from publishers now compete directly with paid advertisements and shoppable pins, which the algorithm demonstrably favours. For independent creators and smaller publishers operating without substantial advertising budgets, this creates an almost insurmountable barrier to meaningful visibility. This signals a fundamental shift in Pinterest’s role: from a discovery platform to an advertising-centric environment.

A Deluge of AI and the “Freshness” Fallacy

The Pinterest algorithm in 2025 has also intensified its focus on “fresh” content, ostensibly rewarding newly uploaded pins over established, evergreen assets. While the intent might seem positive, it imposes an immense, often unsustainable, burden on creators to continuously generate new visual content, even for existing articles. Compounding this challenge, the platform has seen an influx of low-effort, AI-generated content. This phenomenon has prompted what some industry analysts believe is an algorithmic crackdown that inadvertently penalizes legitimate publishers whose primary objective is to drive qualified traffic to their high-quality, well-researched websites. The platform’s ultimate goal has clearly transitioned from fostering discovery across the web to cultivating a self-contained ecosystem designed to maximize in-app engagement.


Why Flipboard is the Premier Pinterest Alternative Now

As Pinterest definitively shifts away from its organic, publisher-friendly ethos, Flipboard emerges as a robust, creator-centric alternative. Its entire architecture is predicated on content discovery and unwavering respect for the original source. This makes Flipboard the most compelling destination for publishers seeking to cultivate a loyal readership and consistently drive qualified traffic.

Unwavering Commitment to Organic Discovery and Publisher Value

Unlike Pinterest’s recent strategic redirection, Flipboard’s foundational purpose remains the curation and surfacing of high-quality content from the open web. This commitment directly benefits publishers in critical ways:

  • Direct-to-Publisher Traffic: Every click on an article or post within Flipboard navigates the user directly to the publisher’s original website. There are no intermediate pages, no in-app browsers, and no content hijacking. This is a fundamental principle that respects content ownership and ensures traffic flows where it should, fostering genuine engagement with your brand.
  • Interest-Driven Content Delivery: Flipboard employs a sophisticated, topic-based feed, ensuring your content is surfaced to users based on their expressed interests, not on your ad expenditure. Editorial quality and genuine relevance are the primary drivers of content visibility and reach.
  • Publisher-First Programs: Flipboard actively collaborates with content creators and publishers through dedicated programs, offering tools and amplified visibility without requiring substantial advertising investments. Their self-service publisher initiative provides an accessible pathway for creators to integrate their content seamlessly.

Superior User Intent for Deep Content Engagement

The typical Flipboard user exhibits a fundamentally different intent compared to a Pinterest user. While Pinterest users often seek fleeting inspiration or product discovery, Flipboard’s audience actively seeks in-depth articles, features, interviews, and opinion pieces.

This distinction translates directly to higher-quality traffic for publishers. Visitors arriving from Flipboard are demonstrably more engaged readers, exhibiting longer on-site times and deeper exploration of your content. The platform particularly excels in content-rich niches such as technology, design, business, culture, current events, and long-form journalism, making it ideal for substantial editorial offerings.

Elevated Branding Through Curated Digital Magazines

Flipboard empowers creators to design and brand their own digital “Magazines.” These function as sophisticated, curated content hubs, offering a more professional and authoritative presentation than typical social media boards.

You can meticulously organize your own content by topic or series, constructing rich, themed collections that accrue value and authority over time. Content from your blog, newsletter, or podcast can be automatically pulled in via RSS feeds, establishing a low-maintenance, high-impact distribution strategy that starkly contrasts with Pinterest’s incessant demand for new visual assets. This editorial-style curation strengthens your brand’s authority and cultivates trust with your audience.

Broad Cross-Platform Reach and SEO Benefits

Content curated and published on Flipboard is inherently indexable by major search engines. This means your carefully assembled magazines and the articles within them can be discovered directly through Google searches, unlike many Pinterest pins, which are often de-indexed or hidden behind login walls.

Flipboard supports robust mobile apps and a comprehensive web presence. This ensures your content has wide visibility without additional formatting effort. It integrates smoothly with social media and RSS feeds. This significantly expands the reach of every article.

A Tale of Two Platforms: Our Long-Term Experience with Flipboard

Fortunately, our presence on Flipboard is not a recent reaction, but a long-standing part of our distribution strategy that is now proving its superior, sustainable value. For years, the official WE AND THE COLOR profile has served as a comprehensive hub for our audience, where we meticulously organize our content into curated magazines. These collections cover the full breadth of the creative industries. We have dedicated magazines for design, art, photography, fashion, and more. We also use Flipboard’s Storyboards to feature exceptional work from the wider community, fostering discovery and dialogue.

While our Pinterest metrics are now in a state of freefall after years of growth, our Flipboard account has demonstrated something far more valuable. It has delivered consistent, steady growth in both followers and engagement over the long term. This stable trajectory underscores its reliability as a partner for publishers. This respect for quality content is also reflected in my personal account. It has proven to be a sustainable and rewarding ecosystem, standing in stark contrast to the volatility that now defines Pinterest.


A New Haven for Intentional Content Creators

The digital landscape is in perpetual motion, yet the recent transformations on Pinterest signify a profound and likely irreversible shift. The platform no longer honours the symbiotic relationship it once shared with content creators and publishers. Its focus has clearly moved towards internal commerce and proprietary advertising, leaving organic content creators to navigate a drastically diminished visibility.

In this evolving reality, Flipboard stands out as the unequivocal, leading Pinterest alternative for content creators and publishers. It is a platform built on a core respect for content, a deep understanding of audience intent, and a steadfast commitment to empowering creators. For those who prioritize driving qualified traffic, cultivating a loyal readership, and building genuine brand visibility without being compelled to pay for every impression, Flipboard is not merely an option; it is the essential next step. If your content is thoughtful, high-quality, and designed for genuine engagement, Flipboard is the platform where your work belongs.

Feel free to follow our account. We would love to see you there!

Feel free to browse WE AND THE COLOR for more creative news.

Sourced from WATC

By John Tamny

“We could sell you a page of advertising for $100,000, tell you it was going to reach a lot of influential and wealthy people, take you out to dinner, dangle an invite to the Oscar party, order expensive wine, get you drunk, and hope you forgot to ask any questions.” Those are the words of Dana Brown, former Deputy Editor of Vanity Fair, from his 2022 autobiography, Dilettante.

Brown described how advertising used to be, and how in the dark occasionally overserved ad buyers once were. Ad purchases from editors who “weren’t data people” set the stage for change. It’s capitalism’s greatest feature: competing away high margins.

It rates serious thought as the Department of Justice (DOJ) inches toward the conclusion of its antitrust case against Google. The lawsuit was instigated by Google’s supposed “monopoly” over search, along with its alleged failure to provide advertisers with “transparency.” It’s a look backwards, in concert with a failure to understand just how much Google has vastly enhanced transparency and sales for advertisers. The speculation here is that Brown would agree.

All it takes to understand this is to compare search results on Google from July 25, 2022 to July 25, 2025. What users see based on any search or question is profoundly different.

The difference is an effect of intense competition within the search space, and particularly the release of OpenAI’s ChatGPT. The release of ChatGPT and a myriad of other AI-trained search locales since very much calls into question the DOJ’s case. If Google had a monopoly on search, it would reflect in a lack of search-result evolution at Google. Why compete when you’re a monopoly? Why indeed.

Also, why invest in an uncertain AI future to the tune of $85 billion (the amount Google’s parent, Alphabet, is investing in AI in 2025 alone) if your future is already secure; the future born of your control of the present and future? In the words of DOJ attorney David Dahlquist, “This court has an opportunity to remedy a monopoly that has controlled the internet for today’s generation and restore competition for decades to come.”

Except that there’s no monopoly. See the profound evolution of search results on the alleged monopoly offender in Google. Then see Alphabet’s substantial investment in the very technology that promises to render search results from today unrecognizable relative to the future. Or see yet again Dana Brown’s memoirs.

While the Brown quote that opened this opinion piece has already vivified just how in-the-dark ad buyers used to be, there’s more to know. Brown’s memoirs explain why the old ways of ad sales were rendered obsolete. Google and Facebook loom large. In Brown’s words, Facebook and Google “were able to target advertising at very specific demographics and then show advertisers actual figures of who saw the ad, who clicked on it, and who made a purchase.”

Contrast the above with the days when ad buyers were plied with alcohol so that they wouldn’t ask difficult questions from people who probably couldn’t answer them to begin with. Not so with Google and Facebook. As Brown recalls, “They were data-driven businesses.”

Yet the DOJ claims Google hasn’t been transparent enough with buyers? More realistically, its success is an effect of bringing transparency and data to purchases that were formerly a speculation. Which is just a comment that the DOJ isn’t just looking backwards with its lawsuit, it also looking into the past without understanding just how substantially Google has improved the present and future by ending for good the opaque nature of ad-buying from the past.

Feature image credit: Getty Images

By John Tamny

Find John Tamny on X.

Sourced from Forbes

By Maria Greaves

Forget cookies and outdated targeting tricks – modern marketers are navigating the ‘mindset era’, where success hinges on deciphering the consumer mindset in real time. How can context, attention and creative help them unlock relevance at scale?

Identity-based ads are losing their grip. Outdated tech and irrelevant targeting are driving users to ad blockers – and away from brands that just don’t get it. Little wonder that 66% of UK and US consumers say most digital ads they’re exposed to aren’t relevant to them.

As signal loss continues to proliferate, and behavioural targeting fails to keep up with fast-changing consumers, advertisers are presented with a once in a generation opportunity to reimagine how they operate and do things better. Successful brands are pivoting towards the role of mindset in the user journey – understanding how consumers feel and what they’re interested in, in the moments that matter.

Get in the mood: context, creative and intelligence

Now, it doesn’t matter where someone’s from, what their age or their gender is, or any other identifying factor. What matters is using real-time, cookie-free signals, to truly understand a user’s changing mindset and the message or product which will resonate most effectively. And that’s why industry experts are coining this new chapter in advertising the ‘mindset era’.

To connect in the mindset era, brands need to pull three key levers: context, attention and creative. These are currently the hottest topics in the industry, and typically treated separately. But to truly understand the consumer mindset, they need to be brought together and analysed as a unified whole. The result is relevant and engaging ads across all digital platforms, throughout the open web.

For instance, GumGum‘s Mindset Graph maps billions of data points, including contextual cues, creative elements and viewer attention metrics, to deliver ads that match the consumer’s current context and mindset – helping advertisers achieve reach and relevance at scale.

But how can marketing’s new holy trinity of context, creative and attention work in harmony together, and what do advertisers need to know, to get the best out of each one?

1. Read the room (aka context is still king)

Understanding the environment around the ad – its emotion, tone, and relevance – means meeting the consumer in a relevant mindset.

AI-powered contextual analysis is so advanced now that it can analyse all of the data signals within digital environments on the open web – including text, image, video and audio – with a human-like understanding of the content users are engaging with, and how to serve suitable, safe and relevant ads. This latest chapter in contextual intelligence is about understanding the content that users are interested in and then using advanced measurement tech to analyse their engagement levels in real time.

“The open web is a goldmine of information relating to brands, their competitors and consumers,” explains Peter Wallace, general manager at GumGum. “Historically, the challenge has been harnessing this data at scale, processing and presenting it. But now brands are using contextual technology to uncover new and exciting insights that help them inform and enrich their entire strategy. The potential is huge.”

Not surprisingly, getting context right drives results: almost 80% of consumers say they’re more likely to take an interest in and act on ads that match the content they’re viewing, according to research from GumGum.

2. Don’t just show up, show off

You’ve got the right context – now seal the deal with bold, relevant creative. Industry research has long told us that creative quality is responsible for 50% of media impact. And creative that responds to mindset, wins hearts, minds and market share.

Advertisers now have the potential to use high-impact formats like desktop and mobile skins which provide them with the right storytelling vehicle to deliver impactful and engaging creative to consumers at the most relevant moments. And leading brands are using data to break down exactly which portion of the creative is adding to the user experience and capturing more attention, so they can optimize and improve in real time.

Take, for example, UK National Lottery operator Allwyn’s Summer Olympics campaign to increase brand awareness and consideration. Contextual analysis showed that, for this campaign, Allwyn thrived in Food and Drink, Television and Events & Attractions categories. That insight combined with online video and high impact display creative helped drive a 13 point increase in brand awareness and a seven-point uplift in purchase intent.

3. Attention: earn, don’t assume

Receptiveness to advertising isn’t earned through relevant and high-impact content alone. To truly connect, advertisers need a deep-dive into user behaviour and content context. That’s why the full power of the mindset approach comes to life when combined with attention measurement.

“If contextual targeting helps an advertiser to understand the content a user is interested in and how the creative can tap into their active mindset, attention technology allows advertisers to measure these activations in real-time and optimize accordingly to drive the best brand and business outcomes,” says Wallace.

One such example is the BBC’s campaign to generate excitement around Christmas special episodes of its iconic show, Doctor Who. Contextual targeting pinpointed categories such as entertainment, TV, movies, sci-fi and lifestyle. High-impact desktop and mobile skin formats featured a countdown timer to build excitement around the launch of the shows and act as a prompt to tune in.

But attention metrics widened the breadth and the potential of the campaign even more: measuring the attention time on both ad formats revealed new, topical contextual categories such as rugby and boxing delivered great results. Optimizing delivery in this direction helped beat Dr Who viewing figures, with total viewing 40% higher than previous series.

As Wallace sums up: “With traditional data signals waning and audiences fragmenting, brands that combine contextual precision, creative resonance and real attention data won’t just keep up – they’ll lead. This isn’t about chasing impressions: it’s about making real ones.”

To find out more about how you could magnify your relevant reach, visit GumGum.

Feature image credit: GumGum.

By Maria Greaves

Sourced from The Drum

By

By

 is a news writer who covers the streaming wars, consumer tech, crypto, social media, and much more. Previously, she was a writer and editor at MUO.

Sourced from The Verge

By 

How AI is being used to clean ‘dirty’ data

As personalized and user-centric offerings become a necessity for modern organizations, utilizing data is a critical component to understanding customer and stakeholder needs. From public sector bodies and healthcare providers to financial institutions and software suppliers, it is now imperative for organizations to collect, store and organize data effectively.

Yet, unfortunately, many organizations are struggling to maintain clean, actionable data. In fact, a recent survey found that two-fifths (39%) of organizations have little to no data governance frameworks1. Years of inconsistent data practices and working in silos have left many departments with ‘dirty’, inadequate data that cannot be actioned.

This ongoing lack of effective data governance has resulted in organizations missing the valuable insights that would otherwise help them become better service providers.

Organizations, across sectors, as well as public sector bodies, urgently need to take decisive action to mitigate against any further damage their current data collecting practices may be having. In addition, they must instil values that make data governance a priority. This would ensure the information they collect, and store, is not only clean but also actionable.

How has this happened?

The manifestation of ‘dirty’, disorganized, data stems from a multitude of factors. From collecting duplicate and incomplete records to a lack of integration, too many organizations have unfortunately failed to manage data effectively. According to 2024 research, 44% of financial firms struggle to manage data stored across multiple locations2. This has hit their bottom line, with many incurring inflated costs. However, where, and how data is stored is not the only problem.

In organizations where data governance remains a concern, data is often fragmented and inconsistent across departments. Instead of having integrated systems that deliver a single, dependable, database, teams are working in data silos. For instance, separate sales and marketing teams at a digital bank may want to reach out to the same customers, or prospects, but have their own isolated data sets. In a borough council, the social housing and waste collection teams may need to contact the same residents, yet they do not share their citizens’ records.

This disjointed approach causes ‘dirty’ data that is not only difficult to use because the information is incorrect but also challenging to clean and then maintain. What’s more, ‘dirty’ data leads to conflicting insights, impacting decision-making, customer experience and overall business efficiency.

Commercial organizations risk falling behind competitors who can adjust their product lines in accordance with customer and market demands. Meanwhile, public sector bodies may not be delivering crucial services to the right citizens.

Who is responsible for ‘dirty’ data?

Poor data management comes in many forms, but perhaps the most prominent reason for ‘dirty’ data revolves around ownership. While many heads of departments perceive data governance as a responsibility of an organization’s IT team, it is their department colleagues who actually use data on a day-to-day basis. An IT team can offer support by ensuring software and systems are working properly, but they are not the ones utilizing information to interact with customers and stakeholders.

After all, it is the departments, such as finance, sales and marketing, that need customer and stakeholder engagement to succeed and that benefit from clean, actionable data. The same can be said for local authorities. For example, the social care and education teams need clean data to ensure they can identify the residents that qualify for their services. With this in mind, it is then reasonable to suggest that the prime beneficiaries of clean data should be the ones managing it. Fostering a culture of data responsibility, driven by a desire to create a single view of customer or citizen information, while investing in staff training, is the first step to resolving the human aspect of effective data governance.

Keeping data clean

The technical aspect involves adopting appropriate solutions to help with the initial clean up and then maintaining data accuracy. While having the right intentions is fundamental to establishing effective data governance, introducing appropriate technology allows departments to put their drive for change into practice.

The sheer volume of data that organizations need to collect, store and process has led to legacy, or rules-based, software being no longer fit for purpose. Instead, artificial intelligence (AI) and machine learning, have been developed to notice patterns and inconsistencies in data. Newer tools can handle larger volumes, so they are deployed to irradicate data duplication and are even at the stage to offer predictive data modelling.

These technologies maintain clean data and support the generation of actionable insights so organizations can accommodate customers’ and/or citizens’ present and future needs. Successful adoption will happen gradually but once this is achieved, automated data cleansing will boost productivity. By automating the manual processes that eroded people’s time, organizations can empower humans to prioritize and fulfil the tasks they do best.

Benefit from actionable insights

The responsibility for data governance cannot rest solely with IT teams. It must be a shared priority across departments, where those who rely most on data take an active role in ensuring its quality.

The benefits of clean data go beyond having the easily accessible information that is always in the right place, at the right time. Breaking down data silos allows better cohesion and collaboration, which then in turn helps deliver actionable insights. From personalized marketing campaigns and optimizing supply chains to issuing council tax bills and allocating social care budgets, clean data allows organizations to run more efficiently.

By investing in both technology, such as AI-powered automation tools, and a more responsible, and proactive, culture, companies can develop robust data management practices. Ultimately, the organizations that thrive will be those that treat data not as a by-product, but as a strategic asset.

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James Mayo is Senior Business Development Leader at Version 1.

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It claims to have the “capabilities of an award-winning creative team.”

AI has been a perpetual looming threat to the creative industries, with the technology developing faster than we can regulate it. With AI advertising and VFX corner-cutting becoming more normalised, it’s an uncertain time for the community, but now a new opponent has entered the ring, legitimising fears that AI could replace human talent.

Meet Lovart, an AI co-pilot designed to meet all your design and branding needs. Supposedly equipped with the “capabilities of an award-winning creative team,” Lovart slithers onto the scene as a sleazy alternative to hiring traditional design agencies – and with a $90 per month price tag, it’s a corner-cutting all-in-one service with an undeniably accessible edge.

Lovart AI

(Image credit: Lovart) 

San Francisco-based Lovart AI was immensely popular in its beta, attracting over 800,000 testers. Its mission was simple: “generate six-figure or higher branding and advertising campaigns using nothing more than a single text prompt.” The co-piot tool is powered by a “proprietary creative reasoning engine, MCoT (Mind Chain of Thought),” allegedly capable of analysing the brand’s business context and audience requirements, all while remaining “on par with top-tier Creative Directors and professional-grade visual assets.”

Despite it essentially being a robo CCO surrogate, Lovart boasts its human-like interactivity, with user recall, workflow learning and prediction, and “Autonomous Design Intelligence” that guides you from conception to finalised output with “unexpected, witty, and human-like flair.” It’s unique “Chat Canvas” is optimised for creative collaboration between man and machine, while business is taken care of by specialised AI agents that each manage a distinct creative task.

Lovart AI

(Image credit: Lovart) 

“At Lovart, we don’t have product managers. We have designers who teach AI how to think, in a way that you might expect from a Creative Director,” says Lovart’s CEO, Melvin Chen. “The canvas is the desk. The agent is your teammate. Together, they recreate the most natural way design happens that captures nuance, emotion and brand essence within a single prompt, enabling anyone to bring their creative visions to life, even without a design background.”

Lovart AI

(Image credit: Lovart) 

I find myself struggling to digest Chen’s claims, given there’s seemingly nothing “natural” to be found in prompt-based AI design. While Lovart undoubtedly makes large-scale design projects more accessible for small businesses, it’s uncomfortable that the nuance of human talent is being lost to the machine.

Human-made design is imperfect, it sparks conversation, it brings joy, and it celebrates raw creativity, something that’s lost in the churn of AI image generation and machine co-piloting. While Lovart naturally concerns me, I can only hope it’ll prove the value of investing in design agencies – iconic design isn’t made by AI; it’s born out of an authenticity only possible through the human experience.

Feature image credit: Lovart

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Natalie Fear 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. Natalie also runs Creative Bloq’s Day in the Life series, spotlighting diverse talent across the creative industries. Outside of work, she loves all things literature and music (although she’s partial to a spot of TikTok brain rot).

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Apple has released a new video advertising Apple Intelligence on the iPhone 16, with one feature spotlighted: Clean Up. The humorous message of the video? Be careful what you remove from photos.

Clean Up should not be used to remove beloved pets, says new ad

Clean Up is an Apple Intelligence feature that lets you remove unwanted objects from photos.

Available inside the Photos app, Clean Up lets you easily alter an image to get rid of any visual distraction that’s unwanted.

But per Apple’s new video, you probably shouldn’t use it to remove your partner’s beloved cat.

Clean Up is available on all iPhones compatible with Apple Intelligence, as well as supported iPads and Macs.

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How many stereotypes can you fit in 80 seconds?

When the trailer for Dear Erin appeared online and in cinemas this month, Irish viewers were appalled – if not entirely surprised. The trailer for the ‘film’ managed to pack an impressive number of clichés into its 80-second runtime, including Irish fiddles, flat caps, Guinness, whiskey and, of course, the name Paddy. “What did we Irish people ever do to you to deserve this?” one of the top YouTube comments laments. But it turns out all was not as it seemed.

All of those stereotypes were, on this occasion, entirely deliberate. Epic, the Irish emigration museum in Dublin, has revealed itself to be behind the trailer, releasing an extended cut in which actor Peter Coonan breaks character and decries the stereotypes on display.

“As long as Hollywood has been making movies, they’ve been telling the same story about the Irish. At our best we’re simple, hopeless romantics with a quiet, rural life. At our worst we’re drunken, violent, dirty, law-breakers. Either way, we’re almost always a joke or a punchline. You’d think by now, we’d be past this. But if you’ve seen some of Hollywood’s recent depictions of Ireland, you’d understand why someone had to say something,” Epic explains in a statement.

Social media comments

(Image credit: Epic)

 

From Wild Mountain Thyme to Irish Wish, there’ve been no shortage of stereotype-laden ‘Irish’ films released in recent years, often complete with dodgy accents and characters who mostly just drink and fight.

Perhaps the most impressive – and damning – thing about it the Dear Erin trailer is how believable it is. Indeed, most of the comments on the original trailer are from viewers complaining about those stereotypes. As one commenter puts it, “Christ could they not find a leprechaun to complete cliché bingo.”

Dear Erin – This Is Not Us – Reveal – YouTube

“We thought it was time to call it out. We created a trailer for a film that we hope never gets made, and filled it with all of the tired, clichéd portrayals of Irish people often seen in Hollywood movies. At EPIC The Irish Emigration Museum, we tell the real stories of the Irish—gritty, inspiring, surprising, and true. If you want to understand who we really are, come see for yourself.”

Feature image credit: Epic

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Daniel John is Design Editor at Creative Bloq. He reports on the worlds of design, branding and lifestyle tech, and has covered several industry events including Milan Design Week, OFFF Barcelona and Adobe Max in Los Angeles. He has interviewed leaders and designers at brands including Apple, Microsoft and Adobe. Daniel’s debut book of short stories and poems was published in 2018, and his comedy newsletter is a Substack Bestseller.

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