The B2B Growth Playbook 8 Leaders Actually Run: Category, Brand, and Pipeline at Once

Ask a growth leader what they're responsible for and you'll get one of two answers. The first: pipeline, activation, and revenue. The second: brand, category creation, and positioning. Almost never both.

This split—between "performance" and "brand," between sales-led and product-led, between measurement and magic—is treated as gospel. Growth teams chase short-term conversion lifts. Marketing builds brand affinity for some distant payoff. Pipeline generation lives in a different world than category definition.

But talk to the people actually scaling B2B companies past $100 million ARR and you'll hear something different. The best don't treat category, brand, and pipeline as separate workstreams. They've built machines that do all three things in the same motion.

Word-of-mouth is not a strategy until it becomes your only strategy

When Elena Verna joined Lovable as head of growth, the AI coding company was already growing faster than almost any B2B company in history. In under one year, they went from launch to $200 million ARR. By the time she arrived, they'd hit 8 million users and hundreds of thousands of paid subscribers.

Her playbook didn't work.

I feel like only 30 to 40% of what I've learned in the last 15 to 20 years of being in growth transfers here because we just need to invest in such bigger bets and innovate and create new growth loops here. I usually spend maybe 5% innovating on growth in my previous roles. Right now I'm spending 95% innovating on growth and only 5% on optimization.

— Elena Verna, Head of Growth at Lovable

The reason? Lovable operates in a market where everyone and their mother is launching a vibe coding product. Staying ahead doesn't come from optimizing conversion funnels. It comes from reinventing what drives word-of-mouth in the first place.

Verna's approach centers on a deceptively simple move: give the product away aggressively. When a user asks for free credits to run a hackathon at their company, Lovable says yes. When someone wants to demo the tool at a conference, they get unlimited access. The logic is ruthless: why block someone who wants to market and activate on your behalf?

The trick is get more people to try it. Just ship things you can talk about. The only way to create a word of mouth loop is just to blow their socks off.

— Elena Verna, Head of Growth at Lovable

This isn't charity. It's category creation disguised as activation strategy. Every person who builds something with Lovable becomes living proof that AI coding tools actually work. The product demonstration is the brand story. Pipeline generation and category education happen in the same interaction.

Chris Miller at HubSpot saw the same dynamic when the company launched its free CRM in 2015. The product was meant to be disruptive, but leadership didn't have a fully formed perspective on what would happen next. Miller, who joined as a growth PM shortly after, recognized what they'd actually built: a massive top-of-funnel asset that could redefine how companies thought about customer relationship management.

I think I was just willing to take some risks and really push for the things that I believed made sense, even though maybe based on the titles that I had at the time, I wasn't sort of inherently given a seat at the table.

— Chris Miller, VP Product, Growth & AI at HubSpot

Miller's team didn't just optimize the free CRM for conversion. They used it to create a category-defining narrative: that marketing, sales, and service tools should live on one platform. The product built pipeline. The narrative built the category. They were inseparable.

Building in public isn't content marketing—it's category warfare

The traditional B2B playbook treats "building in public" as a founder-led branding tactic. Post on Twitter. Share metrics. Get engagement. Lovable treats it as core growth infrastructure.

Verna describes their strategy as "building in public coupled with employee socials and founder-led socials." This isn't a CEO ghostwriter posting inspirational threads. It's the entire company—engineers, designers, growth—sharing what they're building in real time. Every feature launch becomes a moment for users to see themselves in the product's evolution.

The impact isn't just awareness. It's competitive moats. In a market where new AI coding tools launch weekly, Lovable's public narrative establishes what the category should look like. Competitors can copy features. They can't copy the cultural gravity that comes from transparently defining the space.

Amol Avasare at Anthropic took a different but equally aggressive approach. Anthropic started as the smallest, least-funded player in the large language model space. No free cash flow like Meta or Google. No first-mover advantage like OpenAI. They were underdogs by every measure.

It's a complete miracle that we've gotten to the stage that we have.

— Amol Avasare, Head of Growth at Anthropic

Avasare's team didn't have the luxury of slow, methodical brand-building. They had to create category separation while simultaneously driving activation. One of their smartest moves: allowing users to import memory and conversation history directly from ChatGPT. This single feature did three things at once. It removed switching costs (pipeline). It positioned Claude as the more thoughtful, user-respectful option (brand). And it redefined what AI assistants should offer (category).

The underlying insight is the same across Lovable, HubSpot, and Anthropic. When you're fighting for category leadership, you can't afford to separate brand from growth. Every tactical decision has to carry strategic weight.

The mobile-first mirage: why acquisition channels matter less than you think

Jeremy Goillot spent years running growth at Spendesk before moving to the U.S. and launching his own company. His experience reveals a tension most growth leaders don't want to admit: the channel you think drives growth often matters less than the narrative you build around your product.

At Spendesk, Goillot noticed that the majority of their ads were being viewed on mobile. His instinct was to go all-in on mobile-first acquisition. But the real lesson wasn't about device preference. It was about meeting users where their attention already lived—and understanding that attention was increasingly fragmented, distracted, and skeptical of traditional B2B messaging.

Le mot mobile first, il est de se dire qu'aujourd'hui la manière d'acquérir des utilisateurs, ça va être sur mobile parce que le temps d'écran où on passe la majeure partie de notre temps, c'est sur téléphone.

— Jeremy Goillot, Fmr Head of Growth at Spendesk

The insight extends beyond Spendesk. Carolina Samsing, who led growth for HubSpot's Latin American expansion and later scaled Nowports, describes a similar dynamic. When HubSpot first entered Latin America, they had three clients—one in Mexico, two in Chile. Samsing was hired as a "one man shop" to figure out the region. Her mandate was vague: figure out the pump.

She couldn't rely on paid acquisition at scale. The market didn't know HubSpot. It didn't know inbound marketing. Her solution was to build a pull strategy—content, partnerships, education—that created category awareness before asking for pipeline. The brand work was the growth work.

En Capsule siempre decíamos que lo teníamos al final una estrategia más pull que push.

— Carolina Samsing, VP of Growth at Nowports

This distinction—pull versus push—is where most B2B growth strategies break down. Companies pour budget into demand generation without building the category understanding that makes people want to be pulled in. They optimize conversion rates on landing pages for products that prospects don't yet understand they need.

Where the experts split: optimization versus innovation

If there's one place these leaders disagree, it's on how much time to spend optimizing existing growth loops versus inventing new ones.

Verna is unequivocal: in hyper-competitive markets, optimization is a trap. She estimates spending 95% of her time on innovation and only 5% on optimization. The logic is straightforward. When everyone is building the same type of product, marginal gains from A/B testing won't keep you ahead. You need to build entirely new loops.

Chris Miller at HubSpot tells a different story. His team took an aggressive ownership mentality: every problem was their problem. When they saw that self-service revenue was underutilized, they took it over and scaled it fast. The approach was iterative, methodical, and built on compound optimization.

We really had an aggressive mentality, an aggressive approach. We approached the team who owned it and we were like, are y'all working on this? They were like, nah, we're working on a bunch of other stuff. We were like, can we take this? And they were like, sure, if you want it. And so we took it and immediately blew it up.

— Chris Miller, VP Product, Growth & AI at HubSpot

The difference isn't that one approach is right and the other wrong. It's that the market context determines which lever matters more. Lovable operates in a land grab where category definition is still fluid. HubSpot was scaling a defined category where execution mattered more than positioning.

Carolina Samsing adds another layer to this debate. She argues that the skills required to start a company and grow it early on are completely different from the skills needed to scale. Early-stage growth is about experimentation and finding product-market fit. Scaling is about repeatable systems and operational excellence.

Los skills que se necesitan para hacer una startup y para crecer esa startup son muy distintos a los skills que se necesitan para hacer una escala.

— Carolina Samsing, VP of Growth at Nowports

The implication: growth leaders who don't evolve their playbook as the company matures end up either over-optimizing too early or under-investing in systems when repeatability matters most.

AI-native growth infrastructure: when the playbook rewrites itself

Amol Avasare describes working at Anthropic as "the hardest job I've had in my life." The reason isn't just the pace. It's that 50% to 70% of everything he learned in prior roles doesn't apply.

Anthropic's growth platform team launched an initiative called CASH: Cloud Accelerates Sustainable Hypergrowth. The idea is to use Claude—Anthropic's own AI—to automate growth experimentation. Instead of manually hypothesizing, building, and testing, the system generates and runs experiments autonomously.

We are starting to look at how do we automate growth. Our growth platform team is driving this effort called CASH. How can we use Cloud to automate growth experimentation? And it's delivering results.

— Amol Avasare, Head of Growth at Anthropic

This isn't a marginal improvement. It's a structural change. The bottleneck in growth has always been the speed at which teams can generate ideas, prioritize, build, test, and learn. If AI can compress that cycle from weeks to hours, the entire discipline changes.

Elena Verna at Lovable sees the same shift. Product-market fit, which used to be a milestone you hit and then built on, is now something you have to recapture every three months. The product value Lovable will deliver in two years is likely 1,000 times what it is today. Linear charts don't make sense anymore. Everything is measured on a log scale.

The funniest thing is I've noticed internally linear charts are just not cool. Everything is log linear. It's just show me a log linear scale.

— Elena Verna, Head of Growth at Lovable

This exponential mindset changes how growth teams operate. Traditional tactics—SEO, paid acquisition, email nurture—still exist. But they're background infrastructure. The real leverage comes from building products that create compounding word-of-mouth and automating the loops that amplify it.

The takeaway: stop separating what your users experience together

The leaders who've built the fastest-growing B2B companies of the past decade don't separate category creation from pipeline generation. They don't treat brand as a long-term investment and growth as a short-term one. They recognize that in competitive markets, every interaction a user has with the product is simultaneously a brand moment, a category signal, and a potential conversion event.

The playbook isn't to "do all three things." It's to recognize they were never separate in the first place. When Lovable gives away free credits, they're building category, brand, and pipeline. When Anthropic lets users import ChatGPT memory, same thing. When HubSpot launched a free CRM, they weren't just generating leads—they were redefining what CRM should mean.

The growth leaders who figure this out don't get stuck choosing between tactics. They build systems where every tactical decision carries strategic weight. And in markets moving as fast as AI, enterprise software, and B2B SaaS, that might be the only sustainable edge left.