Your career spans luxury business, pharma, wine, and now SaaS technology. What led you from luxury brand marketing to tech, and how does that cross-industry experience shape the way you approach growth strategy differently than someone who’s only worked in one vertical?
My move wasn’t a pivot as much as it was an expansion of the same underlying question: how do businesses create and capture value? After leading go-to-market strategies for luxury wine e-commerce and product launches in pharma, I was drawn to SaaS because it offered the fastest feedback loops for testing how brand, data, and distribution interact.
Luxury taught me how value is constructed, through narrative, scarcity, and cultural positioning. Pharma introduced me to rigor, regulatory constraints, long timelines, and evidence-based decision-making. Wine e-commerce added the layer of unit economics and consumer behavior at scale. SaaS, particularly in CRM and messaging, is where all of this converges: distribution, retention, and data.
What this cross-industry experience changes is perspective. Someone who has worked in a single vertical often optimizes within that system. When you’ve seen multiple industries, you start to question the system itself.
For example:
- In luxury, pricing is a signal of desirability
- In SaaS, pricing is often treated as a conversion lever
That difference alone changes how you think about growth. I tend to approach growth less as a funnel to optimize and more as a system to design, where brand, product, pricing, and distribution are all interdependent.
You have a Master’s in Luxury Business from Polimoda and now lead growth marketing for a CRM messaging platform. What principles from heritage luxury brands (pricing strategy, brand identity, customer experience, etc.) do you see tech startups missing when they try to differentiate in crowded SaaS markets?
The biggest gap is that SaaS companies often try to differentiate functionally, while luxury brands differentiate symbolically.
Three specific areas stand out:
- Pricing as positioning, not just monetization
Luxury brands use pricing to create distance and signal value. In SaaS, there’s often a race to competitive pricing tiers, which compresses perceived differentiation. Startups underutilize pricing as a strategic tool. - Cohesive brand identity
Heritage brands are relentlessly consistent across touchpoints. In SaaS, brand is often fragmented; the website says one thing, product experience says another, sales decks say something else. - Designed customer experience
Luxury brands choreograph the customer journey. SaaS companies tend to optimize individual touchpoints (onboarding, emails, support) without designing the emotional arc of the entire lifecycle.
In crowded SaaS markets, features converge quickly. What doesn’t converge as easily is how a product makes you feel and how clearly it knows what it stands for.
In your current role, you focus on marketing analytics and customer lifecycle optimization. How do you balance data-driven decision-making with the brand-focused, emotional strategies that luxury businesses use to build long-term customer relationships?
The tension between data and brand is about perspective. The real challenge is not choosing between them, but knowing what each is responsible for.
Data is incredibly effective at identifying friction, optimizing conversion, and improving retention mechanics, but it’s less effective at creating desire, building trust at first exposure, or defining long-term positioning.
In my current role, we separate these layers deliberately. We use data to understand behavior, but we rely on brand to shape perception.
For example, lifecycle analytics might tell us when a user drops off. But it doesn’t tell us why they didn’t believe in the product enough to continue. That’s where messaging, positioning, and narrative come in.
The companies that win are not the most data-driven or the most brand-driven, but the ones that understand where each lever matters.
You’re leading corporate development and capital raise initiatives at CRM Messaging while also serving as a venture partner at Maximus. How does seeing both sides, both preparing investment proposals as an operator and evaluating deals as an investor, change the way you think about what makes a company fundable?
Seeing both sides removes a lot of illusion around what actually gets funded.
As an operator, you’re close to the story, understanding the nuance, operational reality, and roadmap. As an investor, you’re looking for pattern recognition under uncertainty.
What changes is clarity on three things:
- Coherence over complexity
Founders often over-explain. Investors are looking for a simple, internally consistent story: problem → solution → traction → scalability. - Evidence of repeatability
It’s not enough to show growth; you need to show that growth is systematic.
- How is CAC (customer acquisition cost) trending?
- What does retention look like by cohort?
- Can this scale without breaking?
- Risk awareness
It’s important that founders don’t hide risks—surface the risks, and show how they’re being managed. That shifts the conversation from doubt to problem-solving.
Being on both sides makes you realize that fundability is less about having a perfect business and more about demonstrating control over the trajectory of that business.
What are the most common positioning mistakes you see early-stage tech companies make when approaching capital raises, especially around storytelling and demonstrating traction to investors?
There are a few patterns that come up repeatedly:
- Over-indexing on the product, under-indexing on the market
Founders explain what they’ve built in detail but don’t clearly articulate why the market is large, urgent, and expanding. - Vanity metrics instead of decision metrics
Metrics like total users or downloads are presented without context. Investors are looking for retention, revenue quality, and unit economics. - Lack of narrative discipline
The story shifts across slides; vision is in one place, product in another, metrics somewhere else. The result is that it doesn’t feel like a single thesis. - No clear wedge
Founders often struggle to define their entry point in crowded markets. “We do everything” is less compelling than “we win decisively in one segment, then expand.”
Ultimately, fundraising is about making progress legible to someone evaluating hundreds of opportunities.
CRM and messaging platforms are increasingly integrating AI for personalization and automation. From your operator perspective, where do you see AI genuinely improving customer acquisition and retention, and where does automation risk making interactions feel too transactional?
AI creates real value in a few areas:
It works well in segmentation and targeting, where it identifies high-intent users more accurately; lifecycle optimization, where it times messages based on behavior rather than arbitrary schedules; and operational efficiency, where it automates repetitive marketing workflows that don’t require creative judgment.
Where it becomes risky is in over-automation of communication. When every interaction is optimized for conversion, it can start to feel generic rather than personalized. AI-generated content often converges toward sameness, and without strong brand inputs, differentiation erodes. There’s also a short-term optimization bias, where AI focuses on immediate outcomes like clicks and conversions at the expense of long-term brand equity.
The opportunity is not to replace human judgment, but to augment it. The best use of AI is in improving precision, while humans remain responsible for meaning.
As marketing becomes more automated and data-driven, what skills or strategic thinking do you believe will differentiate successful growth marketers in tech over the next few years?
The role is evolving from channel optimization to systems thinking.
Three capabilities will matter most:
First, the ability to connect brand and performance. The divide between brand marketing and performance marketing is collapsing, and the strongest marketers will understand both and know how they reinforce each other.
Second, financial and strategic literacy. Growth is increasingly tied to capital efficiency, which means understanding CAC, LTV, payback periods, and how these link to valuation is becoming essential.
Third, judgment in an AI-driven environment. As tools become more powerful, the constraint shifts from execution to decision-making: what not to automate, where to invest, and how to maintain differentiation when competitors have access to the same technology.
In many ways, growth marketing is becoming less about tactics and more about capital allocation applied to customer acquisition and retention.
Peyman Khosravani is a seasoned expert in blockchain, digital transformation, and emerging technologies, with a strong focus on innovation in finance, business, and marketing. With a robust background in blockchain and decentralized finance (DeFi), Peyman has successfully guided global organizations in refining digital strategies and optimizing data-driven decision-making. His work emphasizes leveraging technology for societal impact, focusing on fairness, justice, and transparency. A passionate advocate for the transformative power of digital tools, Peyman’s expertise spans across helping startups and established businesses navigate digital landscapes, drive growth, and stay ahead of industry trends. His insights into analytics and communication empower companies to effectively connect with customers and harness data to fuel their success in an ever-evolving digital world.
