From MQLs to Buying Groups: How Palo Alto Transformed its Funnel & Drove 15x Pipeline Impact
A conversation with Lauren Daley, Director of Marketing Operations at Palo Alto Networks.
“We all knew MQLs weren’t working. But we were still being measured by them. Something had to change.”
— Lauren Daley, Director of Marketing Operations, Palo Alto Networks
In an era where enterprise B2B buying is driven by committees, not individuals, most marketers still operate in a lead-centric, MQL-obsessed model. But at Palo Alto Networks — one of the world’s largest cybersecurity companies — a transformative shift has been quietly reshaping how demand generation connects to pipeline.
Lauren Daley, Director of Marketing Operations, alongside Jeremy Schwartz, spearheaded one of the most impactful GTM transitions in recent memory: abandoning individual MQLs in favor of a buying group-driven strategy. This shift didn’t just improve pipeline metrics — it won Palo Alto Networks Forrester’s 2025 Demand and ABM Program of the Year and led to double- and triple-digit improvements in pipeline performance.
Let’s walk through the detailed steps of this transformation, the cultural and technical pivots it required, and how you can apply Palo Alto’s approach to your organization.
Why MQLs Failed to Deliver — And Why Buying Groups Matter
For years, marketing has been measured by how many MQLs it can generate. But most B2B enterprise purchases aren’t made by individuals — they’re made by buying committees. At Palo Alto Networks, this was especially evident: they were selling multi-product, high-stakes cybersecurity solutions to government, healthcare, and large enterprises — all of which involve multiple stakeholders in the buying process.
“We weren’t doing a good job of connecting all those signals, those buying group members, and packaging it in a way sellers could take action on. That was the disconnect.”
— Lauren Daley
Marketing teams were doing the hard work of engaging the right personas, but those efforts weren’t translating into revenue. Why? Because individual leads weren’t enough. A shift to buying groups was long overdue.
The Journey Begins: From Pilot to Playbook
The transformation started not with tech, but with people. Lauren and her team began small — launching a pilot focused on Business Development Representatives (BDRs) and enabling them to associate more stakeholders with each opportunity.
“We didn’t boil the ocean. We started with the friendlies — people who immediately bought into the vision.”
— Lauren Daley
The early results were compelling enough to draw interest from other teams across the company, and that’s when momentum truly started to build.
Buying Group Impact at Palo Alto Networks
The results were staggering when buying groups were present in an opportunity:
“I call it compound lift. More deals in forecast. Bigger deals. Higher win rates. That’s a lot of incremental bookings.”
— Lauren Daley
With buying groups:
Opportunities moved into forecast at 15x the rate compared to solo leads.
Deal sizes increased by 2.4x.
Win rates improved by 1.4x — a 40% increase.
This wasn’t just a better marketing model — it was a business growth engine.
Changing Mindsets: Enabling the Shift in Marketing Thinking
One of the most difficult aspects of this transition wasn’t technology — it was mindset. Marketing teams had been conditioned to focus on MQLs for years, and those targets still drove behavior.
“If you put a top-line MQL target in front of a marketer, that’s what they’ll chase — whether it converts or not.”
— Lauren Daley
To combat this, Lauren and Jeremy went on a company-wide roadshow. They didn’t just explain the new approach — they showed teams how to take action. Campaign and field marketing teams were coached on identifying gaps in buying group coverage and targeting missing personas instead of over-focusing on one highly engaged individual.
“Three lightly engaged personas in the right roles are more valuable than one highly engaged individual.”
— Lauren Daley
Creating the Buying Group Score: A Gartner-Inspired Framework
To make the shift operational and actionable, the team developed a Buying Group Score — a clear and simple framework inspired by the Gartner Magic Quadrant.
This model categorized buying group engagement into four quadrants based on:
Intent
Engagement
Completeness (presence of key personas)
Propensity (likelihood to buy)
Buying Group Score Matrix
| Quadrant | Intent | Engagement | Completeness | Propensity | Action |
|---|---|---|---|---|---|
| A | High | High | High | High | Prioritize immediately |
| B | High | Low | High | Medium | Campaigns: drive engagement |
| C | High | High | Low | Medium | Paid: identify missing personas |
| D | Low | Low | Low | Low | Brand nurture |
“We wanted to help marketers prioritize accounts with high potential and make decisions based on data, not guesses.”
— Lauren Daley
This framework is now being integrated into Salesforce using a custom Buying Group Object, designed to house members of a buying group before an opportunity is even created.
Using the Existing Tech Stack to Drive Change
Contrary to what many assume, this transformation didn’t require a major investment in new tools.
“This transformation is free. We didn’t ask for extra budget.”
— Lauren Daley
Key adjustments included:
Turning on Lead-to-Opportunity matching in LeanData
Using Demandbase to monitor engagement and intent signals
Building a custom object in Salesforce to house buying group data
Automating engagement scoring over time
“The tech wasn’t the bottleneck — mindset and enablement were.”
— Lauren Daley
Evolving the Metrics: From MQLs to Coverage & Contribution
The move to buying groups demanded a rethink of what marketing success looks like.
Metrics that Became Obsolete:
Raw MQL volume
Individual engagement scores
Metrics That Matter Now:
Buying Group Coverage: % of opportunities with complete persona representation
Campaign → Opportunity Contribution: Are campaigns driving opportunity creation or expansion?
Engagement by Role: Are we nurturing decision-makers, influencers, and champions?
Pipeline Conversion & Win Rate by Buying Group Status
Overcoming Resistance and Driving Adoption
“People immediately said: this makes sense. But changing how they work day-to-day? That takes effort.”
— Lauren Daley
To make adoption easier:
Lauren’s team developed dashboards to visualize persona gaps
Created activation playbooks tailored by channel and segment
Invested in continuous enablement and real-time coaching
Demonstrated the “before and after” revenue impact to stakeholders
Related Blog: How Palo Alto Modernized Its Revenue Engine
Starter Template: How to Launch a Buying Group Pilot
| Step | Action |
|---|---|
| 1 | Identify internal advocates (“friendlies”) and run a focused pilot |
| 2 | Define baseline metrics: buying group coverage, conversion rates |
| 3 | Use existing tech (LeanData, Demandbase) to enrich opportunities |
| 4 | Develop a simple buying group score model |
| 5 | Align BDRs and Campaigns to expand buying group coverage |
| 6 | Track pilot results — and extrapolate to show full-scale impact |
| 7 | Present results to leadership with revenue implications |
| 8 | Build enablement resources: playbooks, dashboards, scorecards |
| 9 | Launch phased rollout with ongoing coaching |
| 10 | Revisit compensation models to align with opportunity creation |
Final Advice: Start Small, Show Impact, Scale Fast
“This is not some mythical transformation. It’s simple. It’s free. And it works.”
— Lauren Daley
One of the biggest takeaways from Palo Alto’s journey is that perfection isn’t a prerequisite. The team didn’t wait for full tech enablement. They used manual workarounds, partnered with friendlies, and iterated. They let results do the convincing.
“Don’t show pilot results alone. Extrapolate. Show what happens when the impact scales. That’s what makes leadership lean in.”
— Lauren Daley
Ready to Leave MQLs Behind?
Buying groups aren’t a buzzword. They’re how real enterprise buyers buy. Companies that shift now — like Palo Alto Networks — will have a huge advantage in building more efficient, scalable, and revenue-focused marketing teams.
This is your blueprint. Start the pilot. Track the metrics. Prove the model.
The future of B2B marketing isn’t in leads. It’s in groups.
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