Building an MQA model is only part of the transition from tracking marketing qualified leads (MQLs) to focusing on marketing qualified accounts (MQAs). The harder question is how to turn a new way of qualifying accounts into a process that marketing, sales, and revenue teams can use and trust.
That requires more than defining qualification criteria and adding new metrics. Teams need to establish what success looks like, understand how the model changes existing workflows, and build enough confidence in the approach to support broader adoption. They also need to rethink how they evaluate performance when quality and buying momentum matter more than lead volume.
But that doesn’t mean overhauling your demand generation strategy all at once. One of the most practical recommendations from The Buying Group Paradox: Why More Stakeholders Means Fewer Deals—and What to Do About It webinar was to start small and build evidence. As guest speaker Nora Conklin, Principal Analyst at Forrester, explained, organizations don’t need executive approval for a wholesale transformation before they begin. They need enough evidence to demonstrate that the approach works.
This next stage of the transition focuses on putting the model into practice, measuring its impact, and building the confidence to scale it without disrupting the processes that already work.
Step 6: Start with a Pilot
A focused pilot allows marketing and sales to validate the account scoring model, show how buying group qualification improves visibility into account engagement, strengthens cross-functional alignment, and ultimately drives better pipeline outcomes. Once those results are proven, expanding the approach becomes far easier because the business is responding to evidence—not theory.
Choose a Manageable Starting Point
The best pilots are intentionally narrow in scope. Rather than attempting to redefine qualification across every product line, geography, and sales team at once, start with an area of the business where you can work closely with sales, use real-world data, and clearly track the results.
Look for a starting point such as:
- A single business unit: A contained team makes it easier to align marketing and sales around the same buying group definitions and qualification criteria.
- One product or solution: Starting with a flagship offering or one that represents a significant portion of your revenue gives you enough real-world activity to test the model without having to account for every possible buying scenario. Our experts recommend starting with a flagship opportunity or solution set rather than trying to define every buying group upfront.
- A specific sales team: A team that is open to working in a new way—or has a particular revenue goal it needs help achieving—can provide the collaboration and feedback needed to refine the approach.
- A strategic account segment: A defined set of accounts gives you a manageable population for testing how individual MQLs, additional buying group signals, and account-level engagement come together.
- A target industry or geographic region: A focused market can help you test whether your buying group definitions and engagement patterns hold true within a specific customer segment before applying them more broadly.
By limiting the scope, you create an environment where it’s easier to refine your buying group definitions, validate account engagement scoring, and adjust reporting without disrupting existing processes across the organization.
Just as importantly, a smaller pilot makes the change easier to manage. You aren’t asking the organization to replace its existing qualification process overnight; you’re adding a new layer of insight in one part of the business and learning from it before widening the scope.
Define Success Before You Begin
A pilot isn’t simply an experiment, but an opportunity to demonstrate measurable business value. Before launching, marketing and sales need to establish what success looks like and how they’ll evaluate it.
Rather than measuring the pilot solely on MQL volume, consider metrics such as:
- Growth in buying group coverage across target accounts: Are more of the stakeholders who influence a purchase becoming visible and engaged?
- MQA qualification rate: How often does the engagement you’re seeing across an account meet the criteria for sales-ready buying activity?
- Opportunity creation from MQAs: Are accounts that meet the MQA threshold actually turning into sales opportunities?
- Sales acceptance of qualified accounts: Do sales teams agree that the accounts being surfaced have enough buying activity to warrant their attention?
- Opportunity progression and pipeline velocity: Once an MQA becomes an opportunity, does it move through the pipeline more effectively than accounts identified through lead activity alone?
- Sales feedback on account quality and buying group visibility: Does the model give sales a clearer picture of who is involved, what they care about, and where the account stands in its buying process?
Establishing these benchmarks upfront helps ensure the pilot is evaluated against the outcomes it’s designed to improve, rather than being compared to a lead-centric model that measures something fundamentally different.
Use the Pilot to Strengthen Alignment
Perhaps the greatest value of a pilot isn’t the technology you implement or the dashboards you build, but the shared learning it creates across teams.
Opportunity-centric qualification changes how marketing and sales interpret buying activity, so the pilot gives both teams a chance to test those assumptions against real accounts. Marketing can see whether its signals are surfacing the right buying groups. Sales can evaluate whether those accounts reflect the opportunities they see in the field. Revenue operations can identify gaps between the new account-level view and existing pipeline processes.
Those observations create a feedback loop: test the model, compare it with what sales is seeing, refine the approach, and test again. Instead of trying to get every detail right before launch, teams can use the pilot to resolve disagreements and build a shared understanding of what an MQA should look like in practice.
That makes the pilot more than proof of concept. It becomes a low-risk way to build the cross-functional trust needed to expand opportunity-centric qualification across the organization.
Let Results—Not Opinions—Drive Adoption
Every meaningful change in B2B marketing faces the same initial questions:
- “Will this create more work?”
- “Will sales actually use it?”
- “How do we know it’s better than what we already have?”
A successful pilot answers those questions with evidence instead of assumptions.
When sales gains better visibility into buying groups, it can act on stronger signals. When marketing can show that those signals correlate with opportunity progression, it can demonstrate the value of the new approach. Together, those results give teams a reason to adopt the model beyond the pilot.
A pilot is about more than reducing implementation risk. It’s about creating internal advocates. Once one team experiences the value of opportunity-centric qualification firsthand, it becomes much easier to expand the approach across additional products, regions, and business units.
Key Takeaway: Start with one pilot, measure the impact, refine your approach, and use those results to build the organizational confidence needed for broader adoption.
Step 7: Know What Success Looks Like
One of the biggest mistakes organizations make when transitioning to opportunity-centric qualification is evaluating success through the lens of yesterday’s metrics. The shift from MQLs to MQAs changes what success looks like: marketing is no longer optimizing primarily for lead volume, but for the quality and progression of buying opportunities.
If your primary key performance indicator (KPI) has always been MQL volume, the first few months of an MQA pilot may feel uncomfortable. One of the earliest signs of success may not be more leads, but better-qualified opportunities.
As Nora noted, organizations should expect lead volume to decline initially as they begin focusing on buying group engagement rather than qualifying every highly engaged individual. That isn’t a sign the strategy is failing. In many cases, pipeline remains steady—or even improves—because marketing is surfacing accounts with stronger buying consensus instead of simply generating more individual leads.
Early Stage: Better Visibility
Marketing gains a clearer understanding of who is participating in buying decisions, which stakeholder roles are missing, and how engagement is spreading across target accounts. Sales benefits from richer context, allowing teams to prioritize outreach based on buying group activity rather than individual lead scores alone.
This increased visibility often uncovers opportunities that traditional lead reporting would have missed. An account may never produce a high-scoring individual MQL, for example, while a champion, decision-maker, and technical stakeholder each show modest engagement. Viewed together, those signals can reveal a buying group that is actively forming—and give sales a reason to engage before the opportunity becomes obvious in the lead data.
Mid-Stage: Stronger Pipeline Performance
As buying group qualification becomes more consistent, organizations typically begin seeing improvements in pipeline health.
The focus shifts from identifying more potential opportunities to progressing the right ones. Sales receives better-qualified accounts with clearer context around the stakeholders involved and where the account stands in its buying process. That can lead to more productive sales conversations, stronger opportunity progression, and better alignment between marketing and sales on which accounts deserve attention.
Success is measured less by the number of MQLs generated and more by what happens after an account is qualified: whether those accounts create opportunities, progress through the pipeline, and ultimately contribute to revenue.
Long-Term: Greater Revenue Impact
Organizations that align marketing around buying groups are better positioned to engage the right stakeholders with the right messaging, improve conversion throughout the funnel, and increase marketing’s contribution to pipeline and revenue.
The ultimate objective isn’t simply to create more opportunities; it’s to create opportunities that are more likely to close. That’s why marketers should resist the urge to judge an MQA strategy too early or by the wrong metrics. A temporary decline in lead volume may simply reflect a more disciplined qualification process, while improvements in pipeline quality and opportunity progression often become apparent as the model matures.
Key Takeaway: Measure MQAs by the quality and progression of opportunities—not by the volume of leads they generate.
Step 8: Address 3 Common Objections
Every meaningful change in marketing measurement is met with skepticism. Moving from lead-centric qualification to buying group qualification is no different. Fortunately, though, many of the most common concerns are based on misconceptions rather than reality.
Objection 1: “Sales Won’t Like This”
This is perhaps the most common objection and one of the easiest to address.
Opportunity-centric qualification doesn’t ask sales to do more work; it gives sales more context. Instead of receiving a single lead record, sales gains visibility into the broader buying group: who is engaged, what roles they play, how buying consensus is developing, and where additional outreach may be needed.
Rather than replacing existing sales processes, MQAs make those processes more informed.
Objection 2: “This Sounds Too Complicated”
Buying groups are undoubtedly more complex than individual lead scoring, but that doesn’t mean implementation has to be.
As Nora emphasized throughout the webinar, organizations shouldn’t try to redesign their entire qualification model overnight. Start with one pilot, establish a clear definition of success, refine your approach, and expand once you’ve demonstrated value. Complexity becomes far more manageable when introduced incrementally instead of all at once.
Objection 3: “We’ll Have to Replace MQLs”
This is perhaps the biggest misconception of all. And yet, the transition to MQAs isn’t about eliminating MQLs—it’s about giving them context.
Individual engagement still matters because every buying journey begins somewhere. MQLs continue to identify interested contacts and signal emerging demand. Opportunity-centric qualification simply asks marketers to look beyond that initial signal to determine whether the broader buying group is also demonstrating buying intent.
It’s not MQL or MQA. It’s MQL plus MQA.
Together, they provide a much more complete view of buying readiness than either metric can deliver on its own.
Key Takeaway: Objections are a natural part of adopting MQAs. Address them with evidence from a focused pilot, then use those results to show that buying-group qualification can strengthen existing processes without adding unnecessary work or complexity.
Put MQLs Into Context—Don’t Leave Them Behind
The shift from MQLs to MQAs doesn’t require throwing out the demand generation engine you’ve already built. It starts with a more useful question: What happens after an individual raises their hand?
That question changes what marketers look for. Instead of treating an MQL as the end of the qualification process, teams can use that signal as a starting point for understanding who else is involved, whether buying momentum is building, and how close an account may be to a decision.
That context is what turns individual engagement into an account-level view of buying readiness. Madison Logic helps marketers identify the stakeholders influencing a purchase, connect engagement across the account, and understand where an account is in its buying journey. Request a demo to learn more about our buying group identification and engagement reporting capabilities when you run your campaigns with Madison Logic.
Ready to put your MQLs into context?
Watch the on-demand recording of The Buying Group Paradox webinar to see how buying groups are changing B2B qualification and what marketers can do to adapt.
