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Klaviyo, a cloud-based software-as-a-service platform operating across the Americas, Asia-Pacific, Europe, the Middle East and Africa, has a market capitalisation of $5.78 billion. The company generates revenue primarily through its internet software segment, which brought in $1.23 billion. The article highlights growth companies with high insider ownership in the United States market, which has risen 16% over the past year. Such companies are considered advantageous as insider ownership often aligns management interests with shareholder value. The US market shows expectations of 15% annual earnings growth in coming years. Companies featured include Krystal Biotech, with earnings forecast to grow 28.9% annually, and Klaviyo among others demonstrating strong growth potential with significant insider ownership.

Klaviyo (kvyo)'s new AI tool helps marketers create full campaigns from one single prompt. Published on March 31, 2026 at 1:50 pm by faheem tahir in news. On March 24, 2026, Klaviyo, Inc. (NYSE:KVYO) announced the launch of Composer, a new AI tool that helps marketers create full campaigns from a single prompt. The launch marks a significant step toward AI-driven campaign execution. Based on the kind of campaign a brand wants, the tool can return a launch-ready plan, which features audience targeting and messages across channels like email and text. Within the same announcement, Klaviyo, Inc. (NYSE:KVYO) announced the expansion of its Customer Agent, its AI customer service tool. Under this expansion, the company added new features, including ready-made retail tasks like order tracking, returns, exchanges, subscription changes, and loyalty lookups. Meanwhile, the introduction of Agent Guidance enables brands to control the AI's tone, communication style, and when it should hand conversations over to a human. Overall, Klaviyo, Inc. (NYSE:KVYO) rolled out over 75 new features across marketing, customer data, analytics, and customer service, which include richer messaging, improved website personalization, stronger customer data matching, improved recommendations, and new integrations. Klaviyo, Inc. (NYSE:KVYO) delivers an AI-first SaaS platform for B2C clients that supports customer relationship management. The platform enables data storage, campaigns, marketing automation, and analytics. It also enables customer service integration and omnichannel marketing tools, such as email, SMS, and WhatsApp campaigns. While we acknowledge the risk and potential of KVYO as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and doing so within a shorter time frame. If you are looking for an AI stock that is more promising than KVYO and that has 10,000% upside potential, check out our report about this cheapest AI stock.

AI consumer personas are reshaping segmentation, not just personalization. Marketers need to rethink segmentation as AI reshapes how consumers discover and decide Klaviyo's latest AI Consumer Personas Playbook introduces something more fundamental than a new way to personalize campaigns. It proposes a shift in how marketers should define and segment their audiences in an AI-driven landscape. This article explores why traditional segmentation models are breaking down, how AI behavior is emerging as a new segmentation layer, and what this means for marketers trying to stay relevant as customer expectations evolve. Short on time? Here's a table of contents for quick access: Why traditional segmentation is breaking in the age of AI. Traditional segmentation assumes that customers with similar profiles behave in similar ways. AI is breaking that assumption. The report shows a widening behavioral gap. Some consumers now rely heavily on AI tools for research and decision-making, while others avoid them entirely. That divergence creates fundamentally different paths to purchase. For example: * 96% of AI Holdouts don't use AI when shopping, effectively opting out of AI-driven journeys * In contrast, AI Enthusiasts actively rely on AI and treat it as a decision-making partner. The report shows that 85% have used AI while shopping in the past six months, and 43% have already purchased a product based on AI recommendations. This means two customers with identical demographics can behave completely differently depending on their relationship with AI. The result is a segmentation blind spot. Traditional models cannot explain: * Why some users trust AI recommendations instantly * Why others validate every output before acting * Why certain audiences lose trust when AI is visible Segmentation based on identity alone is no longer enough. How AI consumer personas introduce a new segmentation model. Klaviyo's framework organizes consumers into four personas: Enthusiasts, Evaluators, Skeptics, and Holdouts. But the real value lies in how these personas are constructed. They are based on two measurable dimensions: * Trust in AI * Frequency of AI usage This creates a behavioral segmentation model that explains real-world differences in marketing performance. AI Enthusiasts show strong positive sentiment: * 81% say AI improves product recommendations * 74% say it improves customer support * 72% say it improves marketing relevance At the same time, AI Skeptics show clear resistance: * Only 25% have purchased AI-recommended products * Just 19% trust those recommendations And AI Holdouts go further: * Only 1-4% believe AI improves their experience * 58% trust brands less when AI-generated content is used But the most revealing group sits in the middle. AI Evaluators use AI frequently, yet hesitate to rely on it: * 54% are less likely than Enthusiasts to use AI for decision-making * 74% feel neutral about AI-generated content * 42% are unsure whether they can distinguish AI from human output They don't reject AI, but they don't fully trust it either. This is not a marginal difference. It is a segmentation-level divide. The same AI-powered campaign can perform exceptionally well with one group and fail completely with another. What this shift means for modern marketing strategy. This shift has immediate implications for how marketing teams think about segmentation, targeting, and experience design. * Segmentation becomes dynamic and behavioral Instead of grouping users by static attributes, marketers need to account for how customers interact with AI across the journey. * Personalization is no longer one-dimensional The report highlights that personalization depth should align with trust levels. AI Enthusiasts respond well to predictive recommendations, while Skeptics and Holdouts require more restraint and transparency. * The customer journey itself is changing The report notes that AI is effectively "splitting the funnel," with discovery happening across LLMs, search engines, and traditional channels simultaneously. This makes it harder to rely on linear funnel assumptions. Taken together, this suggests a broader shift: segmentation is no longer just about grouping audiences. It is about adapting experiences to different levels of AI comfort and expectation. What marketers should do next. For marketers, the takeaway is not to abandon existing segmentation models, but to extend them. Here are a few practical ways to start: * Layer AI behavior into your segmentation Track signals such as AI-assisted discovery, interaction patterns, and response to automated content. * Adjust personalization depth, not just messaging Move beyond "more personalization" and focus on the right level of AI involvement for each audience. * Test for trust, not just performance Monitor negative signals such as disengagement, opt-outs, or reduced interaction with AI-driven experiences. * Optimize for AI-driven discovery Ensure your brand is discoverable across AI tools, not just traditional search or paid channels. * Rethink content strategy for AI visibility As AI tools become discovery engines, content needs to be structured and optimized for machine interpretation as well as human consumption. * Reduce volume, increase relevance The report emphasizes that highly engaged AI users respond better to fewer, more relevant messages rather than generic high-frequency campaigns. For teams that get this right, the opportunity is significant. Segmentation becomes more predictive, experiences become more relevant, and marketing becomes more aligned with how customers actually behave in an AI-first world. AI is not just another channel or tool. It is reshaping how customers think, decide, and interact with brands. Klaviyo's AI consumer personas highlight a deeper shift: segmentation is moving from static identity-based models to dynamic, behavior-driven frameworks rooted in trust and usage. Marketers who adapt early will have a clear advantage. Those who don't risk applying outdated models to a rapidly changing customer landscape. This article is created by humans with AI assistance, powered by ContentGrow. Ready to explore full-service content solutions starting at $2,000/month? Book a discovery call today.