Why 60% of Your Marketing Experience Is Now a Liability

Why 60% of Your Marketing Experience Is Now a Liability

Omer Gotlieb
8 min read
January 6, 2026

Why 60% of Your Marketing Experience Is Now a Liability in 2026

Elena Verna has been building growth engines for 15-20 years. She's the kind of operator who wrote the playbook everyone else copied. In 2026, as growth leader at Lovable, she revealed something uncomfortable: only 30-40% of that hard-won experience still applies.

The other 60-70%? It's not just outdated—it's actively getting in the way.

If you're a marketing leader feeling instability despite nothing being obviously broken, this is why. The fundamentals shifted. And the companies winning aren't the ones executing the old playbook flawlessly—they're the ones who've unlearned it.

The 95% Innovation Shift

Here's how Verna's time allocation changed:

Before: 95% optimizing known channels, 5% testing new approaches
Now: 95% innovation, 5% maintaining what still works

That's not a incremental adjustment. That's a complete inversion of how growth teams operate.

And it's not just her. Marketing leaders across high-growth companies are making the same shift—not because they read it in a playbook, but because the old optimization playbook stopped producing results.

What Changed?

Three fundamental shifts happened simultaneously:

  1. AI became infrastructure, not a channel. It's not something you "add to the mix"—it's how work gets done, how buyers research, how decisions get made.
  2. Buyer expectations accelerated past marketing cycles. The gap between what buyers expect (instant, personalized, expert) and what traditional marketing delivers (scheduled, segmented, generic) is now a chasm. Inbound conversion in 2026 requires meeting these new expectations.
  3. Distribution platforms fundamentally changed. Google isn't the starting point anymore. ChatGPT, Claude, and Perplexity are. Content doesn't drive clicks—it shapes AI answers that buyers never click through.

You can't optimize your way through those shifts. You have to rebuild.

Product Market Fit Is Now a Continuous Process

One of Verna's most jarring observations: "Product market fit is no longer something you find once. You have to recapture it every few months."

For marketing leaders trained to "nail the positioning and scale," this is uncomfortable. But look at what's actually happening in 2026:

  • Buyer expectations evolve quarterly as new AI capabilities set new baselines
  • Competitive positioning shifts as new entrants launch with AI-native approaches
  • Use cases expand or narrow as market understanding of what's possible changes
  • Distribution channels that worked last quarter reach saturation or become obsolete

The companies treating PMF as a destination ("we found it, now let's scale") are watching their metrics erode. The companies treating it as continuous recapture are staying ahead of the shift.

This is why Verna's time allocation flipped to 95% innovation. When PMF expires every 90 days, optimization is a trap—you're just getting better at something that's about to stop working.

What Marketing Leaders Need to Unlearn

Let's get specific about what experience has become a liability:

Unlearn: MQL-Based Pipeline Models

The entire lead scoring, nurturing, and handoff infrastructure was built for a world where buyers tolerated being "qualified" before getting help. In 2026, buyers get instant expert answers from AI—they're not filling out forms to earn the right to ask questions.

Companies still measuring MQLs are measuring a metric that no longer predicts revenue. Worse, they're optimizing processes that actively repel modern buyers.

What replaces it: Conversation intelligence and engagement depth. How many meaningful interactions happened? What questions got answered? How much did the buyer's understanding progress? These predict conversion—form fills don't.

Unlearn: Annual and Quarterly Planning Cycles

If PMF has to be recaptured every few months, annual plans are theater. By the time you're executing Q3 of the plan, the assumptions from Q1 planning are already wrong.

This doesn't mean chaos—it means faster feedback loops. Companies winning in 2026 plan in 30-day sprints, not quarters. They allocate budget to outcomes, not channels. They measure learning velocity, not plan adherence.

What replaces it: Continuous planning with short-cycle experiments. Set direction, fund exploration, measure what's working, double down or kill fast.

Unlearn: Paid Channel Playbooks

The experience of "we drove CAC down from $800 to $400 by optimizing our LinkedIn ads" is valuable—for a world where paid channels were the primary discovery mechanism.

But when buyers start their research in ChatGPT, your LinkedIn ad optimization doesn't matter if AI never mentions you. When discovery happens before buyers even know your name, the top of your funnel isn't paid media—it's LLM perception.

This is what Verna means by budget shifting from "incremental paid channel optimization" to "communities and product investment." The discovery channel changed, so budget allocation has to change.

What replaces it: LLM visibility, community presence, and founder-led distribution. If ChatGPT recommends your product and your founder is visible in the communities where buyers hang out, you don't need to outbid competitors for ad placement.

Unlearn: Feature-Benefit Messaging

The entire B2B messaging framework—identify pain points, map features to benefits, differentiate on capabilities—was built for buyers who needed education.

In 2026, buyers educate themselves with AI before they ever talk to you. By the time they reach out, they've already read the features comparison (from ChatGPT), understood the benefits (from synthesized content), and formed opinions (from AI recommendations).

Your messaging job isn't to educate—it's to confirm that your product delivers what AI already told them you deliver.

What replaces it: Product-as-marketing and proof-driven positioning. Show the product working. Share real results. Let buyers experience value before they buy. Messaging becomes validation, not education.

The New Growth Fundamentals

So what does the 95% innovation time actually focus on? Based on what's working in 2026:

Public Building and Founder Visibility

Verna emphasizes founder visibility as a core growth lever. This isn't about "thought leadership" in the old sense (writing generic LinkedIn posts). It's about building in public—sharing what you're learning, what's working, what failed.

Why this works: buyers trust people more than brands, and AI amplifies human voices. When a founder shares insights publicly, that content shapes what AI says about the company. When a founder has an authentic point of view, communities form around that perspective.

The companies treating founder presence as "nice to have" are invisible. The companies where founders are genuinely engaged are creating distribution channels that can't be copied.

Product Velocity as Marketing Strategy

In a world where PMF expires quarterly, shipping speed is a competitive advantage. The faster you can go from insight to product to market, the faster you recapture PMF.

This means product teams and marketing teams have to operate as one unit. Marketing doesn't wait for product to finish and then "launch"—marketing is happening as the product is being built, shaped by what's being learned.

The metric that matters: how fast can you go from "we learned something important about what buyers need" to "buyers can experience it in the product"? Weeks is competitive. Months means competitors moved faster.

Removing Friction as a Core Strategy

Verna talks about "removing friction for users" as central to Lovable's approach. This goes deeper than UX optimization—it's a philosophy about how buyers should experience the entire journey.

Every form is friction. Every "schedule a demo" is friction. Every "let me get back to you" is friction. Every qualification question before providing value is friction.

The companies winning in 2026 ask: "Where can we let buyers experience value without asking for anything first?" The answer to that question becomes the growth engine.

Communities Over Campaigns

Verna notes that budgets are shifting from paid channel optimization to community investment. This reflects a fundamental change in how buyers discover and validate solutions.

Campaigns have a shelf life—they run, they convert, they end. Communities compound—every interaction adds value, every member becomes a distribution node, every conversation shapes how others perceive you.

The old model: spend on ads to drive leads to nurture to convert.
The new model: invest in community to create environments where buyers educate each other, validate your product, and shape market perception.

Why Unlearning Is Harder Than Learning

Here's the uncomfortable part: you got promoted because you were good at the old playbook. You built credibility by executing it well. Your team was hired for their expertise in it.

Unlearning means admitting that the expertise that got you here isn't what gets you there. It means telling your team "that thing we spent years perfecting? We're moving away from it." It means defending budget shifts away from channels that used to work.

This is why Verna's insight hits so hard. It's not "learn these new tactics"—that's easy. It's "recognize that 60% of your experience is now a liability"—that's existentially challenging.

But the companies that embrace this discomfort are the ones gaining ground. The ones still trying to perfect execution of outdated strategies are losing to competitors with imperfect execution of new fundamentals.

The Instability You're Feeling Is Real

Marketing leaders are sensing instability because the fundamentals shifted without a clear announcement. There was no single moment where the old playbook stopped working—it's been a gradual erosion of effectiveness while new approaches quietly started working better.

"Things that used to feel reliable suddenly feel fragile" isn't paranoia. It's accurate pattern recognition. The old reliability was built on assumptions about how buyers discover, evaluate, and choose solutions. Those assumptions are now wrong.

The question isn't whether to adapt—it's how fast you can unlearn.

Practical Implications for 2026

If you're a marketing leader reading this and recognizing the instability Verna describes, here's where to start:

Audit Your Time Allocation

How much of your team's time goes to optimizing existing channels versus exploring new approaches? If it's still 95% optimization and 5% innovation, you're operating on the old model in a new world.

Try inverting it—even partially. Allocate 50% of time to genuinely new approaches. See what happens. You'll either discover new growth levers or confirm that optimization still works. Both are valuable information.

Test Your PMF Assumptions

When was the last time you validated that your product-market fit still holds? Not "are we still getting deals"—that's a lagging indicator. Ask:

  • Do buyer questions in sales calls match what they asked 6 months ago, or have expectations shifted?
  • Are the use cases that drive adoption the same as a year ago?
  • What do buyers now expect that they didn't expect before?

If the answers reveal drift, you're watching PMF expire in real-time. The response isn't to optimize messaging—it's to recapture fit.

Check Your LLM Positioning

Open ChatGPT. Ask it to recommend solutions in your category for a specific use case. Are you mentioned? How are you described? How do you compare to competitors in the AI's response?

If the answer doesn't match your desired positioning—or worse, if you're not mentioned at all—your traditional marketing is working but your AI visibility is broken. That's where buyers are starting their research now.

Evaluate Friction Points

Map your buyer journey and count the friction points—every moment where you ask for something before providing value. Forms, calls, qualification questions, scheduled demos.

Then ask: which of these are actually necessary, and which are just "how we've always done it"? The companies winning in 2026 deleted most of them.

The Bottom Line

Elena Verna's experience mirrors what's happening across B2B marketing: the playbook that built successful careers is expiring faster than most people want to admit.

60-70% of traditional growth marketing experience is now a liability because it optimizes for a buyer journey that no longer exists. Buyers don't fill out forms to earn answers—they ask AI. They don't wait for nurture sequences—they expect immediate engagement. They don't schedule demos to see if a product might work—they want to experience it first.

The shift from 5% innovation time to 95% isn't a luxury for well-funded companies. It's survival strategy for anyone competing in a market where PMF expires quarterly and distribution channels fundamentally changed.

The instability you're feeling is real. The question is whether you'll try to optimize your way through it or embrace the unlearning required to rebuild on new fundamentals.

The companies that choose unlearning are the ones that will still be relevant in 2027.

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Frequently Asked Questions

Marketing Fundamentals & Industry Shifts

Why is 60% of traditional marketing experience considered a liability in 2026?

According to growth leader Elena Verna, 60-70% of traditional marketing experience is now a liability because it optimizes for a buyer journey that no longer exists. Buyers today expect instant, personalized, expert answers from AI and no longer fill out forms or wait for nurture sequences. Companies must unlearn old playbooks and rebuild strategies based on new buyer behaviors. Source

What are the three fundamental shifts in B2B marketing described for 2026?

The three shifts are: (1) AI became infrastructure, not just a channel; (2) Buyer expectations accelerated beyond traditional marketing cycles; (3) Distribution platforms changed, with buyers starting research in AI tools like ChatGPT instead of Google. Source

How has product-market fit (PMF) changed according to the latest marketing trends?

Product-market fit is now a continuous process that must be recaptured every few months. Buyer expectations, competitive positioning, and use cases evolve rapidly, making annual or quarterly planning cycles obsolete. Source

What marketing models should leaders unlearn for success in 2026?

Leaders should unlearn MQL-based pipeline models, annual/quarterly planning cycles, paid channel playbooks, and feature-benefit messaging. These models are now liabilities as buyers expect instant value and conduct research via AI before engaging with vendors. Source

What practical steps can marketing leaders take to adapt to the new landscape?

Leaders should audit time allocation (shift from optimization to innovation), test PMF assumptions regularly, check LLM positioning in AI tools, and evaluate friction points in the buyer journey. Source

Why is founder visibility important for growth in 2026?

Founder visibility is a core growth lever because buyers trust people more than brands, and AI amplifies authentic human voices. Public sharing of insights shapes AI recommendations and builds communities. Source

How does removing friction in the buyer journey drive growth?

Removing friction—such as forms, demo scheduling, and qualification calls—allows buyers to experience value upfront, which accelerates conversion and builds trust. Companies winning in 2026 minimize these friction points. Source

What is the role of communities versus campaigns in modern marketing?

Budgets are shifting from paid campaigns to community investment. Communities compound value through ongoing interactions, peer validation, and organic distribution, while campaigns have a limited shelf life. Source

How can marketing leaders audit their team's time allocation for innovation?

Leaders should analyze how much time is spent optimizing existing channels versus exploring new ones. A recommended shift is to allocate at least 50% of time to new approaches to discover growth levers. Source

What is LLM positioning and why does it matter for B2B companies?

LLM positioning refers to how a company is described and recommended by AI tools like ChatGPT. It matters because buyers increasingly start their research in these platforms, making AI visibility critical for discovery and validation. Source

Salespeak.ai Product Features & Capabilities

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Salespeak.ai is an AI sales agent that engages prospects, qualifies leads, and guides buyers through their journey via web chat and email. It learns from previous conversations to improve future interactions and provides actionable insights for sales strategy optimization. Source

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Key features include 24/7 engagement, expert-level conversations trained on your content, seamless CRM integration, actionable insights from buyer interactions, multi-modal AI (chat, voice, email), and quick setup with no coding required. Source

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Yes, Salespeak.ai integrates seamlessly with your CRM system, enabling streamlined operations and efficient lead management. Source

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Salespeak.ai uses its AI Brain to ask qualifying questions, ensuring that captured leads are relevant and high-quality, which saves time and improves efficiency for sales teams. Source

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Salespeak.ai generates intelligence from buyer interactions, helping businesses identify content gaps, understand buyer needs, and optimize sales and marketing strategies. Source

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Salespeak.ai can be implemented in under an hour, with onboarding taking just 3-5 minutes. No coding is required, and live results can be seen the same day. Source

What customer feedback has Salespeak.ai received regarding ease of use?

Tim McLain praised Salespeak.ai for its accessibility and self-service setup, stating it took him half an hour to get it live with immediate results. This highlights the platform's user-friendly design. Source

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Salespeak.ai has delivered 100% coverage of website leads, a 3.2x qualified demo rate increase in 30 days, conversion rates rising from 8% to 50%, a 20% conversion lift post-Webflow sync, and $380K pipeline booked while teams were offline. Source

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Industries include sales enablement (RepSpark), engineering intelligence (Faros AI), SaaS, healthcare, and enterprise software. Source

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What is Salespeak.ai's pricing model?

Salespeak.ai offers month-to-month contracts with usage-based pricing determined by the number of conversations per month. Plans range from a free Starter plan (25 conversations/month) to paid Growth plans ($600/month for 150 conversations up to $4,000/month for 2,000 conversations), with custom Enterprise pricing for higher volumes. Source

What features are included in the Salespeak.ai Starter plan?

The Starter plan is free and includes 25 conversations per month. Additional conversations cost $5 each. Source

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The Growth plan starts at $600/month for 150 conversations and scales up to $4,000/month for 2,000 conversations. Additional conversations are charged at rates from $2.50 to $4 each, depending on the tier. Source

Is there an Enterprise plan available for Salespeak.ai?

Yes, Salespeak.ai offers a custom-priced Enterprise plan for businesses requiring over 2,000 conversations per month, tailored to specific needs. Source

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Who is the target audience for Salespeak.ai?

Salespeak.ai is designed for CMOs, demand generation leaders, RevOps leaders, and marketing/growth teams in mid-sized to large B2B companies seeking to improve engagement, lead qualification, and actionable insights. Source

What pain points does Salespeak.ai solve for businesses?

Salespeak.ai addresses 24/7 customer interaction, quick implementation, pricing concerns, lead qualification, and better user experience by providing instant, intelligent engagement and actionable insights. Source

How does Salespeak.ai differentiate itself from competitors?

Salespeak.ai stands out with 24/7 engagement, quick setup, intelligent conversations, proven conversion results, tailored solutions, and unique features like real-time adaptive Q&A and deep product training. Source

Can you share specific case studies or success stories of Salespeak.ai customers?

RepSpark achieved a +17% increase in LLM visibility and 50% visitor enrichment in six weeks. Faros AI saw +100% growth in ChatGPT-driven referrals and consistent LLM query growth. Source

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Salespeak.ai transforms websites into real-time sales experts, providing instant, personalized answers that help buyers convert faster and increase qualified demo rates. Source

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Salespeak.ai is designed to align the B2B sales process with the modern buyer's journey, acting as an AI brain and buddy to provide custom engagement, delight, and intelligence everywhere. Source

Technical Requirements & Documentation

What technical documentation is available for Salespeak.ai?

Salespeak.ai provides documentation on campaigns, goals, qualification criteria, widget settings, AWS Cloudfront integration, and a comprehensive getting started guide. Documentation

How does the Salespeak AI Brain learn about new website pages?

Once the widget is deployed, the Salespeak AI Brain tracks new web pages and adds their information to the knowledge bank for improved engagement and accuracy. Source

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Salespeak offers a blog, about section, careers page, and success stories to help users learn more about the product and company vision. Source

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The blog covers AI, sales AI, B2B sales, startups, marketing, business, entertainment, travel, internet, art, science, health, lifehacks, and sports. Source

Who wrote the blog post 'The Intelligent Front Door' and when was it published?

The blog post 'The Intelligent Front Door' was written by Omer Gotlieb and published on January 6, 2026. Source

Security & Compliance

What security and compliance certifications does Salespeak.ai have?

Salespeak.ai is SOC2 compliant, ISO 27001 certified, GDPR compliant, and CCPA compliant, ensuring high standards for data protection and privacy. Trust Center

Where can I find more information about Salespeak.ai's security practices?

Detailed information about Salespeak.ai's security practices and certifications is available at their Trust Center. Trust Center

Company Vision & Background

What is Salespeak.ai's overarching vision and mission?

Salespeak.ai's vision is to delight, excite, and empower buyers by rewriting the sales narrative and prioritizing delightful buyer experiences. The mission is to revolutionize B2B buying by creating a frictionless, efficient system that enhances engagement and satisfaction. Source

Who founded Salespeak.ai and what is their background?

Salespeak.ai was founded by Lior Mechlovich (former CTO and co-founder of a cloud metering platform) and Omer Gotlieb (co-founder and CCO of a top Customer Success platform), bringing deep expertise in AI, B2B sales, and technology. Source