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How an education program generated revenue and validated the ICP at once with Daria Marinescu

written by

Călin Alungulesă

date

21 January 2026

Cover for our Frontline Insights series, this one featuring Daria Marinescu, CMO at Sferal AI

Our “Frontline insights” series brings together perspectives from B2B marketing leaders who are navigating the industry’s challenges in real time. We're exploring what's working, what's not, and how teams are adapting to economic uncertainty, shifting buyer behavior, and the latest technologies.

This conversation features Daria Marinescu, B2B Growth & GTM Strategist and CMO at Sferal AI.

With 20 years of experience at the intersection of strategy, research, and growth, Daria shares how an education program became a €250k/quarter revenue engine, why buyer self-service is reshaping pipelines, and what it takes to run a team where humans and AI agents work side-by-side.

 

The education program that changed everything

Last year, one strategy surprised Daria more than any other: a paid education program that generated €250k per quarter while participants used the product to learn.

People were eager to learn more about how to apply AI to real-world business workflows. Daria and her team took a chance and developed a structured program that was primarily promoted by their founder and the Termene database. The response exceeded expectations, but revenue was only one aspect.

The program became their richest source of strategic insight: 

"Through the program, we learned how our ICP actually views AI adoption, their true pain points and internal obstacles, how they convert benefits into business cases, who approves budgets, and how those decisions are made, how companies develop internal AI literacy, and what 'value' means for them in their own words.”

 

It provided data, content, positioning clarity, strategy direction, and product feedback on a scale that no other tactic could match. The education program proved to be an unexpected commercial and strategic growth engine. It became the quickest way to build trust, adoption, and a qualified pipeline long before they had the full product suite.

This approach extended to their other successful tactics: webinars focused on bottlenecks identified through observations and user interviews, founder-led content used as a distribution tool and intentionally promoted, ABM built on authentic ICP insights from the education program, events selected through careful research rather than random outreach, and executive visibility at international events aimed at sharing expertise rather than pitching products.

Buyers need guidance. Education is not enough anymore

The education program's success revealed something even more important: buyer behavior was fundamentally shifting.

Daria observed a clear pattern throughout the year: 

"Clients are doing the majority of the work before they ever speak to us. They're using AI tools, searching for ungated resources, watching interactive demos, reading Reddit threads and LinkedIn comments, and validating solutions with peers long before they appear in our CRM."


By the time someone raises their hand, they already know what they want to learn. If the company makes the shortlist, prospects come in warm and already in an active decision cycle.

This required a complete overhaul of their pipeline to adapt to a new reality: buyer self-service. They prioritized removing obstacles and providing clarity precisely when buyers need it most: instant booking, interactive demos, better distribution, and content designed to meet them where they already are.

The insight changed their entire approach:

"It became clear that the game has changed. Buyers don't need more education. Instead, they need guidance, validation, and proof."

 

Their bet for 2026 reflects this shift:

"The companies that win will not be those that teach the fundamentals; they will be the ones that make it simple for buyers to understand, evaluate, and adopt the product on their own terms."

 

This will become a real differentiator because it takes effort, experience, and discipline to build this kind of pipeline. Most companies will still default to what's easy: lightweight educational content. Daria's team is betting on what's harder but far more impactful.

 

Building an AI agents team (with the right rules)

Daria leads a team where humans and AI agents work together, and it has transformed everything. At the beginning of the year, her team was wasting hours on operational tasks. Even when they tried using ChatGPT, they spent more time prompting and fixing results than focusing on real strategic work.

So she built a team of AI Agents to take that load off. Initially, she believed agents would run smoothly once trained and connected to the right data. She was wrong:

"We quickly learned that agents drift as data and processes change."

 

That led to the rule they now live by: no owner, no agent. Every agent has a human owner responsible for performance and continuous improvement. It prevents automation drift and maintains high quality.

Her team of agents conducts market research, qualifies and enriches leads, handles personal assistant tasks, scores leads, analyzes feedback into insights, creates messaging variants from feedback, transforms support insights into articles, performs sentiment analysis, and identifies opportunities through content triggers for planning.

She's discovered that building automations with AI agents speeds up the process by 4 times. Her toolkit includes Claude for reasoning and drafting, Sferal for building and monitoring multi-step AI agents, Perplexity for research, Lovable for creating briefs, and AI add-ons in Notion, Figma, and Miro for collaboration.

But 2026 brings a new evolution: 

"I will move from using only AI agents to building my own systems."

 

The triple skill set for 2026: business + technology + strategy

When asked about the most important skill for B2B marketing leaders right now, Daria identifies three interconnected dimensions:

"The ability to integrate deep business acumen with real technology fluency, especially around AI and automation."

 

You need to understand how revenue is generated, how unit economics work, and how to stay aligned with sales, product, and finance. Apart from that, you should understand what AI can and cannot do, as well as how to coordinate and integrate it into real-world workflows. And finally, strong strategic leadership is essential in a landscape where buyers educate themselves, automation is ubiquitous, and expectations for speed, clarity, and proof have shifted.

"The leaders who can combine these three dimensions - business, technology, and strategy -  are the ones who will actually move the needle in 2026.

 

This shows how Daria balances long-term strategy with quick results. She builds systems that generate revenue while moving closer to product-market fit:

"For me, long-term strategy doesn't live in a different universe from short-term execution. The two have to reinforce each other."

 

Every initiative has a dual purpose - it must teach something about ICP or the product, and it must create a visible commercial impact. The education program generated revenue while validating ICP. Founder-led content built brand trust while driving deals. ABM sharpened segmentation while opening conversations with the right accounts.

"Quick wins should ladder up to the long game, not distract from it."

 

Instead of pursuing activities just for the sake of activity, she focuses on actions that generate momentum now, lessen uncertainty for the future, and establish repeatable systems rather than one-time victories.

When old playbooks stop working

Daria expects major changes to arrive faster than most companies are ready for. Automation can no longer be an afterthought. Buyers are entering the funnel much more self-educated and are using AI tools themselves, which means companies and marketing leaders must operate at that same level of clarity, speed, and technical fluency.

Leaders who only understand campaigns but not how to incorporate AI and automation into workflows will fall behind. Companies that delay automation will be overtaken by competitors who can deliver faster, cheaper, and with greater accuracy.

The distribution landscape is shifting in real time:

"SEO is dropping in effectiveness as AI answers replace search behaviors, and social media algorithms are becoming increasingly unpredictable as platforms reshuffle priorities around AI-generated content and engagement patterns." 


Relying on old acquisition channels without adapting will be a losing strategy.

The future belongs to teams that can integrate the machine aspects - AI, automation, and data orchestration - with the human elements: judgment, ethics, creativity, and narrative clarity.

Her advice is direct: stay curious, stay technical, and stay close to the market.

“Forget the old playbooks, really. To stay relevant, experts need to understand not only what is changing but also how it affects the behaviors of buyers, teams, and entire industries. Learn how AI and automation actually work. The leaders who can think in systems, orchestrate agents, and embed automation into day-to-day operations will outpace everyone else. Tools will evolve, but the literacy you build now compounds.”


Stay close to customers. Read the LinkedIn comments, the Reddit threads, and the feedback loops. Watch how people evaluate products today: fast, self-guided, ungated, with very little patience for friction or fluff.

And don't mistake activity for progress.

"Focus on strategic clarity, measurable outcomes, and experiments that teach you something. If your work starts drifting toward tasks that simply look good in a report but don't shift the business, the product, or your understanding of the market, that's the moment to step back and rethink your approach."


The experts who stay effective are the ones who prioritize learning, insight, and real impact over vanity activity.


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