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Why most go-to-market playbooks fail internationally — and what to do instead

localization
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Why most go-to-market playbooks fail internationally — and what to do instead I first worked across borders in the mid‑90s, interpreting Spanish calls for AT&T. What struck me then — and what still holds today — is how quickly things break down when people assume their way of working is universal. Fast‑forward nearly three decades, after leading international growth at HubSpot and advising companies from Google to SaaS startups, I’ve seen the strongest domestic strategies fall flat abroad. Here's what I see happen over and over again: Teams think they’re being global, but they’re still defaulting to the comfort of their home market. Proximity bias and familiarity creep in quietly, and the playbook that worked so well at home suddenly stops delivering. At HubSpot, I introduced the idea of going “global-first,” a mantra we repeated often. The idea was straightforward: stop treating international as an afterthought, because the tactics that work in your home market rarely carry you into the next one. The mindset has to evolve from the start. So, where do teams go wrong with international expansion, and what should they be doing instead? Let’s break it down. Table of Contents The Shared Language Problem That’s Sabotaging Your Global Strategy Where Teams Go Wrong with International Expansion Building a Global-first Approach That Actually Works The Shared Language Problem That’s Sabotaging Your Global Strategy One of the first hurdles I see in global expansion is surprisingly simple. People don’t speak the...

AI email subject lines that drive 3x more revenue and actually convert [+ exclusive insights]

ai-hidden, Artificial Intelligence
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AI email subject lines that drive 3x more revenue and actually convert Email subject lines determine whether your carefully crafted campaigns ever see the light of day — yet most marketers still rely on gut instinct and basic A/B testing to choose them. What if you could predict which subject lines will resonate with your audience before hitting send? AI email subject line optimization makes this possible by analyzing millions of data points from your actual subscribers’ behavior, automatically testing variations, and continuously learning what drives engagement. But here’s what most articles won’t tell you: there’s a massive difference between using a basic AI generator to brainstorm subject lines and implementing true AI optimization. When this optimization occurs in HubSpot’s Marketing Hub with Breeze AI, you are not only testing subject lines but also creating a smart system that understands your audience and adapts to their behaviors. This guide shows you how to use AI to create subject lines that increase revenue, not just open rates. You’ll learn how to: Set up governed workflows that maintain your brand voice Create testing frameworks that go beyond simple A/B splits Measure real business impact rather than vanity metrics Whether you’re sending 1,000 emails a month or 10 million, these strategies will help you turn your weakest subject lines into your strongest revenue driver, whether you send 1,000 emails a month or 10 million. Let’s dive in. Table of Contents What is AI...

Enterprise generative AI tools that actually work

ai-hidden, Artificial Intelligence
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Enterprise generative AI tools that actually work TL;DR: Enterprise generative AI tools are advanced software platforms designed to automate and enhance marketing, sales, and customer service at scale. The best tools integrate with your CRM, unify customer data, and support secure, governed workflows. To choose the right solution, focus on proven use cases, integration depth, governance controls, and measurable ROI. Start with a clear rollout plan, align teams, and use a selection matrix to compare vendors. Generative AI tools like ChatGPT have changed individual work, but using them in a company causes many challenges. Teams copy-paste customer data into external interfaces, but the outputs lack context from your CRM, and there's no audit trail when something goes wrong. Security teams raise red flags, compliance officers demand answers, and leadership questions whether the technology is ready for production use. The gap between consumer AI and enterprise AI isn‘t just about features. It’s about integration, governance, data sovereignty, and the ability to prove measurable business outcomes. Enterprise generative AI tools help by integrating AI into your workflows and systems, allowing safe large-scale AI deployment. This guide provides production-proven use cases, a vendor evaluation matrix, a practical rollout plan, and a governance checklist. We‘ll even show how platforms like HubSpot’s Breeze AI integrate these capabilities into marketing, sales, and service workflows. Table of Contents Best Generative AI Tools for Enterprise Enterprise Gen AI Use Cases How to Choose the Right Enterprise Gen...

Can music influence what we buy? To find out, I dove into the psychology of music

Marketing Psychology
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Can music influence what we buy? To find out, I dove into the psychology of music In the first episode of my Nudge podcast, I interviewed the fantastic psychologist Dr. Adrian North, who conducted one of the seminal studies on the psychology of music. Back in 1997, the researchers stocked an English supermarket with four types of French and German wines, all similarly matched in cost, dryness, and sweetness. For two weeks, the store speakers either played German oom-pah music or French accordion music. North and his colleagues would switch the music daily and measure the effect on sales. Turns out, 83% of wine buyers bought French wine when the accordion music was playing, while 65% of buyers picked German bottles when the Bavarian music was on. North interviewed these buyers as they left the store, but no one claimed the music had an effect on their purchase — yet it clearly did. Is the connection between music and buying behavior still relevant? North’s study had some important results, but it’s worth noting that this study is almost three decades old and has a relatively small sample size of just 82 people. So, are the findings still relevant today? Well, in 2017, researchers at Montclair State University found that playing Italian music in a university cafeteria increased sales of their Italian dish (chicken parmesan). When playing Spanish flamenco tunes, they increased sales of paella. It’s clear that music does seem to shape what we buy. And maybe...

Best practices for answer engine optimization (AEO) marketing teams can’t ignore

ai-hidden, Artificial Intelligence
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Best practices for answer engine optimization (AEO) marketing teams can't ignore A few months back, I was having a bit of a professional identity crisis. And it’s all thanks to answer engine optimization (AEO) and AEO best practices. Before 2024, I spent the better part of a decade focused on topping search engine result pages — and, frankly, I was great at it. I knew the ins and outs of keywords, schema, and even technical SEO aspects like site speed. But with the rise of AI, those skills were slowly becoming less urgent, for lack of a better word. (Cue marketer existential panic.) Search and consumer behavior have changed dramatically. While traditional search engines still dominate, people increasingly turn to AI tools like ChatGPT to answer their questions. Heck, with 79% of those who already use AI for search believing it offers a better experience than traditional search engines, even Google has introduced AI overviews to stay competitive. But what about all my SEO glory? This shift demands a new approach. Unfortunately, AEO is generally a mystery to businesses and marketers alike. HubSpot is no exception, but we’re finding our way. We’ve been researching and experimenting with how we produce and format content for AI and loop marketing for almost a year. In this article, I’ll share some of the most critical AEO best practices we’ve uncovered. Table of Contents TLDR What is answer engine optimization (AEO)? Why Answer Engine Optimization Matters Now More...

Loop Marketing strategy: A framework for stellar AI-era growth

Uncategorized
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Loop Marketing strategy: A framework for stellar AI-era growth Something’s been throwing marketers for a loop lately. (Eye-roll level pun very much intended.) Instead of turning to Google for the answers to all their curiosities and questions, consumers are increasingly watching YouTube reviews, asking ChatGPT for recommendations, scrolling through social feeds, and messaging influencers instead. Meanwhile, AI search engines are serving up “summarized” direct answers to them instead of sending them to your website. What are we to do? A Loop Marketing strategy can help you navigate this new era of AI and audience behavior. This guide will explain Loop Marketing, introduce you to the playbook, and detail how to create a Loop Marketing strategy that meets modern buyers where they are. Table of Contents Summary What is Loop Marketing? Loop vs Funnel vs Closed-Loop Marketing Why Loop Marketing Matters Now How to Build a Loop Marketing Strategy How Humans and AI Collaborate in a Loop Marketing Strategy How to Implement Loop Marketing in HubSpot What to Measure at Each Loop Marketing Stage Common Mistakes with Loop Marketing (And How to Avoid Them) Frequently Asked Questions About Loop Marketing Strategy Summary Loop Marketing is a cyclical, four-stage strategy — Express, Tailor, Amplify, Evolve — where teams learn from every customer interaction to improve their campaigns and combine human creativity with AI and unified data. Unlike linear funnel approaches to marketing, which are typically static, Loop...

It’s all about you

Uncategorized
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It's all about you It’s a marketer’s dream: Hosting a sold-out event for 10k attendees. That brands are begging to be a part of. Oh, and that was headlined this year by none other than Taraji P. Henson, Kerry Washington, and Jennifer Hudson. That’s Shareese Bembury-Coakley’s reality as one of the driving forces behind CultureCon, the world’s largest festival for Black creatives and entrepreneurs. Here’s how she makes the magic happen. Meet the Master Shareese Bembury-Coakley Vice President, Business development and partnerships at CultureCon Claim to fame: Successfully sold a partnership between the TV show Killing Eve and buy-now-pay-later service Klarna; deliverables included an in-app experience that sourced pieces from Jodie Comer and Sandra Oh’s (truly incredible) wardrobes. (Lesson 0: Look for audience behavior that you can amplify. Bembury-Coakley had noted that viewers were asking questions on social media about designers.) Lesson 1: It’s not “Why this?”, it’s “Why you?”. At CultureCon, Bembury-Coakley tells me, people make a run for Activation Alley as soon as it opens. It’s not just that the activations are amazing or that a particular brand is there — it’s that CultureCon’s attendees have high expectations, because they trust that this year’s activations will be as good as the last. (More on this in a minute.) With events and experiential spaces becoming ever more saturated, I ask Bembury-Coakley how she stands out in a crowd. Her answer is deceptively simple: Instead of answering the question, “Why do this idea?” answer the question, “Why...