Episode 25: Why Modern SaaS Marketing No Longer Follows the Rules

Marketing has never been harder to measure.

Buyers discover SaaS companies through Google, AI platforms, communities, LinkedIn, podcasts, recommendations, dark social, and word of mouth. By the time someone books a demo, they may have interacted with your brand several times across channels you cannot accurately track.

Yet CEOs still expect predictable pipeline and marketing leaders still need to explain where growth is coming from.

In this episode of Leaders of Growth, Milan Savov sits down with Sara Archer, Chief Revenue Officer at ChartMogul, to discuss how SaaS companies can make better growth decisions when traditional marketing playbooks and attribution models no longer tell the full story.

Sara brings a unique perspective because her role extends beyond marketing. She leads sales, marketing, customer success, account management, and revenue operations at ChartMogul, giving her visibility across the entire customer journey.

If you are a CEO, CRO, or CMO trying to build predictable SaaS growth while buyer behavior keeps changing, this episode offers a practical look at what modern revenue teams need to do differently.

1. Why Perfect Attribution No Longer Exists

Marketing teams have spent years trying to answer one question: where did this customer come from?

Today, that question is becoming increasingly difficult to answer accurately.

A buyer might first hear about your company on a podcast, see a LinkedIn post weeks later, search for your brand on Google, ask an AI tool about your category, and eventually visit your website directly before becoming a customer.

A dashboard might attribute that conversion to the final interaction, but that does not mean the final interaction created the demand.

Sara explains why chasing perfect attribution can actually slow teams down. Instead of waiting for complete data that may never exist, marketing leaders need enough information to make smart decisions, test assumptions, and keep learning.

2. How Modern Demand Generation Actually Works

Demand generation is no longer about finding one channel and scaling it indefinitely.

Modern SaaS buyers move between channels, consume information on their own terms, and often spend significant time researching before they ever speak to sales.

That changes how marketing performance should be evaluated.

Rather than looking at each channel in isolation, Sara discusses the importance of understanding how different activities contribute to overall demand and pipeline. Some channels capture existing demand. Others create awareness and influence buyers long before a conversion appears in your CRM.

For SaaS leaders, the goal is not to attribute every dollar perfectly. It is to understand which activities consistently contribute to growth and where the company should continue investing.

3. Why Brand Matters More When Everything Cannot Be Measured

When attribution becomes less reliable, brand becomes more important, not less.

Buyers are constantly exposed to companies through conversations, content, recommendations, social media, search results, AI answers, podcasts, and communities. Many of those interactions will never appear neatly inside an analytics platform.

But they still influence purchasing decisions.

Sara and Milan discuss why SaaS companies need to become comfortable investing in activities whose full impact cannot always be measured immediately.

A strong brand creates familiarity before the sales conversation begins. It can influence which companies buyers search for, which websites they visit, which recommendations they trust, and which vendors make the shortlist.

For revenue leaders, this requires looking beyond dashboards and recognizing that not everything valuable can be tied directly to a single click.

4. Why Experimentation and Learning Speed Beat Perfect Plans

One of the strongest themes throughout the conversation is experimentation.

The market changes too quickly for marketing teams to spend months trying to design the perfect strategy before doing anything.

Sara shares how ChartMogul approaches growth experiments and why the ability to learn quickly can become a competitive advantage.

This does not mean testing random ideas.

Strong experimentation starts with a hypothesis, defines what the team wants to learn, measures the result, and uses those insights to decide what happens next.

The episode also explores an outbound experiment that challenged assumptions and provided the team with valuable insights into what worked and what did not.

For CEOs and marketing leaders, the lesson is simple: the company that learns faster can adapt faster. And in a market where buyer behavior, AI, and distribution channels are constantly evolving, that speed matters.

5. How AI Is Changing SaaS Marketing and Revenue Teams

AI is not simply another marketing tool.

It is changing how customers discover companies, how teams create and analyze information, and how quickly businesses can test new ideas.

Potential buyers can now use AI platforms to research categories, compare vendors, understand products, and narrow down their options before ever visiting a company’s website.

At the same time, AI gives marketing and revenue teams the ability to accelerate research, analysis, content workflows, experimentation, and other parts of their daily work.

But faster execution does not automatically create better marketing.

Sara and Milan discuss why strategy, customer understanding, and experimentation remain critical. AI can increase the speed at which teams operate, but leaders still need to decide what problems are worth solving and what signals actually matter.

Over the next five years, the strongest revenue teams may not simply be those using the most AI tools. They will be the teams capable of combining AI with customer insight, strong positioning, experimentation, and faster learning loops.

Modern SaaS marketing no longer follows a clean, predictable funnel.

Customers discover brands in places you cannot always track. Attribution is imperfect. AI is changing discovery. And channels that work today may look completely different tomorrow.

That does not mean marketing has become impossible to measure.

It means leaders need to stop expecting every growth decision to fit perfectly into an attribution dashboard.

Instead, build systems that help your team experiment, learn, understand customers, strengthen the brand, and connect marketing activity to broader revenue outcomes.

If you are a founder, CEO, CRO, or CMO responsible for predictable SaaS growth, this episode will help you rethink how you measure marketing and make decisions when the traditional playbook no longer works.

Watch the full episode of Leaders of Growth with Sara Archer and learn how modern SaaS revenue teams are adapting to AI, fragmented buyer journeys, imperfect attribution, and a new era of demand generation.