A post from Punit Shah (Head of Growth at Hummingbirds) recently sparked a great conversation in Exit Five. The question was simple:
"How have you set expectations org-wide about a new ABM rollout, specifically how you've mapped it to OKRs/KPIs?"
Looking at the replies, there is a pattern. This is where most ABM rollouts quietly die. Not because the strategy is wrong, but because nobody aligned on what "working" looks like before they started.
Typical ready, fire, aim.
The expectation gap is real
Mandy Schnirel (VP, Growth at Benevity) nailed the first principle: setting expectations is massively important, because you likely won't see payoff immediately.
Her team started with a small ABM pilot, a 1:1 hyperpersonalized approach for each AE's top account, then expanded to their top three industries using a 1:few model. The result? A 20% account-to-opportunity conversion rate in the pilot, which was strong enough to build a business case for a broader rollout.
The takeaway: don't try to prove ABM works across your entire book of business on day one. Run a controlled pilot, measure it clearly, and use those results to earn the right to scale.
You need two funnels, not one
Steve Armenti (ABM @ twelfth agency) offered a framework that should be tattooed on every demand gen leader's arm: run a dual funnel.
- Contact level: Your typical leads, MQLs, SQLs — the metrics your org already knows and trusts.
- Account level: How effectively marketing and sales are moving accounts through the funnel together.
This is critical because most organizations can't just flip a switch from lead-based reporting to account-based reporting. You need the contact-level metrics as a bridge while you build credibility for the account-level story.
Shift from metrics to stakeholder alignment
Lisa Zwiki (B2B Marketing & Rev Ops Leader, SmartAcre) raised a point that often gets overlooked: when you shift to ABM, you need more stakeholder buy-in, not less.
The reporting can't just be "here are our numbers." It needs to answer: What does success look like for you? Ask sales, ask leadership, ask the people who will be judging your results. Then align your reporting to their definition of success, not just your marketing dashboard.
This is the difference between reporting out on metrics and reporting into KPI alignment.
What Punit got right
In a follow-up, Punit clarified the real tension:
"I'm curious how others might have set expectations or pitched the story internally on decreasing reliance on demand gen, while having a longer term view of ABM impact."
This is the question. The answers is that you simply don't kill demand gen. You let ABM prove itself alongside it.
The orgs that succeed at this transition run both motions in parallel, let the data speak, and gradually shift investment as account-level results compound.
A practical 30/60/90 framework
If you're rolling out ABM and need to set expectations with leadership, here's a starting point:
Days 1–30: Align and instrument
- Define your pilot accounts (start small — 10 to 25)
- Agree on what "engaged account" means with sales
- Set up dual funnel reporting so leadership sees both contact and account metrics
Days 31–60: Run and learn
- Execute your 1:1 or 1:few plays
- Track account engagement signals, not just lead volume
- Hold weekly syncs with sales to pressure-test what's resonating
Days 61–90: Prove and pitch
- Report on account-to-opportunity conversion
- Compare pilot accounts vs. non-pilot accounts
- Build the business case for expanding the motion
The bottom line
Solange Bredice summed it up nicely. "ABM measurement is fuzzier than classic demand gen" But "fuzzier" doesn't mean unmeasurable. It means you have to be more intentional about what you measure, when you measure it, and who you're measuring it for.
The organizations that get this right don't just run better campaigns. They make better decisions, because they've built a shared understanding of what success looks like before the first ad runs.
And that's the real shift. Not from demand gen to ABM. From reporting on activity to proving impact on decisions.
This post was inspired by a conversation in the Exit Five community. Thanks to Punit Shah, Mandy Schnirel, Lisa Zwiki, Steve Armenti, and Solange Bredice for the insights.
