Our AI Thesis

We're an AI-Centric Team Building the Future of B2B Marketing

This isn't a feature page. It's a window into how we think, how we hire, and why we believe AI will fundamentally change the way marketing agencies operate—and why we're positioning ourselves to lead that change.

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Why We're Investing Heavily in AI

We started GrowthSpree with a simple observation: most marketing agencies are stuck in 2015. They've adopted new ad platforms, sure. Maybe they've added a few AI tools to their stack. But fundamentally, the way they operate—the way they hire, the way they think, the way they deliver work—hasn't changed.

We see a different future. One where the agencies that win are the ones that deeply understand AI, that hire people who are natively curious about it, and that build internal systems designed to absorb whatever works into their core workflow.

That's what we're building.

Not an agency that "uses AI tools." An agency that thinks in AI. Where experimentation is constant, where new capabilities are tested weekly, and where anything that proves valuable gets systematized and integrated—not as a one-off, but as a permanent part of how we work.

What We Believe

These aren't marketing slogans. They're the principles that guide how we hire, what we build, and how we evolve.

01

AI amplifies humans—it doesn't replace them

The best outcomes come from combining human judgment, creativity, and strategic thinking with AI's speed, pattern recognition, and tireless execution. We hire people who understand both sides of that equation.

02

Curiosity is more valuable than credentials

We'd rather hire someone who spends weekends experimenting with new AI tools than someone with a perfect resume who stopped learning. The landscape changes too fast for anything else.

03

Build once, benefit forever

When we find something that works—a prompt, a workflow, an automation—we don't keep it in one person's head. We document it, systematize it, and make it part of how everyone works. Compounding improvement is the goal.

04

Clients shouldn't need to manage complexity

The whole point of investing in AI and building internal tools is so our clients don't have to. They should get outcomes without dealing with 15 dashboards, 10 vendors, and constant context-switching.

The Kind of People We Hire

We're deliberately building a team that's AI-native. Not because it's trendy, but because we believe the people who deeply understand these tools will outperform those who don't—by a lot.

When we hire, we look for people who are already experimenting. People who have opinions about which LLMs work best for what tasks. People who've automated parts of their own workflow just because they were curious.

We care less about years of experience in marketing and more about how quickly someone can learn, adapt, and improve. The skills that mattered three years ago are already being automated. The skills that matter now are knowing what to automate and what still requires human judgment.

What We Look For

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Natural Experimenters

They try new tools without being asked. They break things to understand them.

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Systems Thinkers

They see a manual process and immediately think: "How do I never do this again?"

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Continuous Learners

They stay current because they're genuinely interested, not because it's required.

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Outcome-Obsessed

They care about what works, not what's fashionable or impressive.

How We Absorb What Works

We have a simple rule: if someone figures out a better way to do something, it becomes the new standard for everyone. Here's how that works in practice.

1

Experiment

Someone on the team tries a new approach—a prompt, a tool, a workflow

2

Validate

If it works better than the current method, they document the difference

3

Systematize

We turn it into a repeatable process—templates, SOPs, or automation

4

Deploy

It becomes the new default for the entire team, across all clients

Continuous improvement cycle

Why We Build Our Own Tools

There's a reason we've invested in building proprietary technology instead of just subscribing to more SaaS products.

When you rely entirely on third-party tools, you're limited by what they prioritize. Their roadmap isn't your roadmap. Their integrations may not match your workflow. And when something doesn't work exactly how you need it to, you're stuck.

By building key pieces ourselves, we can create exactly what our clients need—and more importantly, we can iterate on it constantly. When we spot a gap in our process, we can close it in days, not months.

This isn't about reinventing everything. We still use best-in-class tools where they make sense. But for the parts that really matter—attribution, lead intelligence, unified reporting—we want full control.

What We've Built

Zipeline Attribution

Multi-touch revenue attribution that actually reflects complex B2B buying journeys. Connects ad spend to closed revenue, not just leads.

Born from frustration with attribution tools that stopped at "lead created"

QLA Lead Intelligence

AI-powered lead scoring and routing. Identifies which leads are actually worth pursuing before they go cold.

Started as an internal experiment, now runs across all accounts

Unified Dashboard

One place to see everything—ads, CRM, pipeline, attribution. No more switching between 8 tabs.

Built because we got tired of explaining why data didn't match across platforms

What This Means for Clients

All of this investment—in people, in tools, in process—exists for one reason.

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One Partner, Not Fifteen Vendors

You don't need to manage separate relationships for ads, analytics, attribution, and creative. We handle the complexity so you don't have to.

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Clarity Instead of Chaos

One dashboard. One source of truth. No more reconciling data across platforms or wondering why numbers don't match.

Faster Everything

AI-augmented workflows mean reports in minutes not days, optimizations in hours not weeks, and issues caught before they become problems.

This Is a Long-Term Bet

We're not investing in AI because it's a buzzword. We're investing because we genuinely believe it will reshape how marketing agencies work over the next decade—and we want to be ahead of that curve, not scrambling to catch up.

That means hiring differently. Building differently. Thinking differently about what an agency even is.

The agencies that treat AI as a feature—something they bolt on to their existing process—will fall behind. The ones that make it core to how they operate will pull ahead. We're betting on the latter.

"We're not trying to be the biggest agency. We're trying to be the one that figures out where this is all going—and gets there first."

If that resonates with how you think about marketing, we should talk.

Want to See It in Action?

We'd rather show you how this works than keep explaining it. Book a call and we'll walk you through our stack, our process, and how we'd approach your specific challenges.

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