Rather than a feature-focused launch, Loom's campaign for its AI note-taker addressed a higher-level emotional need: the anxiety of preparing for and returning from vacation. This B2B strategy connected a functional tool to a relatable human experience, making the marketing more resonant.

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Unlike traditional product management that relies on existing user data, building next-generation AI products often lacks historical data. In this ambiguous environment, the ability to craft a compelling narrative becomes more critical for gaining buy-in and momentum than purely data-driven analysis.

Delight isn't just for consumers. Technical B2B companies embed emotional goals into their product values. For instance, Snowflake aims to make users feel like a "superhero," highlighting the B2H (Business-to-Human) principle: end users, even in enterprise settings, have emotional needs.

The need for emotional connection isn't limited to consumer products. All software is used by humans whose expectations are set by the best B2C experiences. Even enterprise products must honor user emotions to succeed, a concept termed 'Business to Human'.

Bizzabo created a campaign personifying the frustrations of its main competitor's customers. By directly addressing specific pain points heard in sales calls, the campaign resonated deeply with prospects and highlighted Bizzabo's superior solutions in a memorable, targeted way.

Instead of comparing to competitors, compare your product to the ideal human interaction. Google Meet aimed to be like a real conversation, not just better than Zoom. This 'humanization' framework pushes teams to think beyond features and focus on a more intuitive, emotionally resonant experience.

SMB owners are not asking for technologies like AI by name. They are asking for outcomes and efficiency. B2B marketers should position advanced features not as 'AI' or 'video tools,' but as embedded, invisible solutions that make a marketing hour more impactful. The goal is to provide tools that a business owner can naturally use to get a return, without needing to become a technology expert.

Moonshot AI's CEO effectively sells his product by "vision casting"—framing it not as an e-commerce tool but as a partner that enables businesses to thrive. This focus on the ultimate outcome, rather than product features, resonates deeply with customers and powerfully articulates the value of a complex AI solution.

Marketing often mistakenly positions the product as the hero of the story. The correct framing is to position the customer as the hero on a journey. Your product is merely the powerful tool or guide that empowers them to solve their problem and achieve success, which is a more resonant and effective narrative.

While AI offers efficiency gains, its true marketing potential is as a collaborative partner. This "designed intelligence" approach uses AI for scale and data processing, freeing humans for creativity, connection, and building empathetic customer experiences, thus amplifying human imagination rather than just automating tasks.

Loom was founded on the observation that easy video sharing was ubiquitous in personal life but painfully complex at work. This gap between consumer-grade user experience and clunky enterprise tools highlighted a massive, latent demand. Entrepreneurs can find opportunities by bringing consumer ease-of-use to the workplace.

Loom Framed Its AI Note-Taker Launch Around the Emotional Stress of Summer Vacation | RiffOn