Most B2B ABM programs fail before the first campaign goes live

A webinar signup used to move the needle. In 2026, it barely gets a rep to open the record. Demand Gen Report published its 2026 Demand Generation Benchmark Survey on July 29, and the framing says everything about where B2B marketing operations currently stand: the central question is no longer how many leads marketing generated, but whether any of them were worth a seller's time.

The MQL era is over in practice, if not yet on paper

For years, marketing qualified leads were the currency demand gen teams used to justify budget and report to leadership. The model made sense when digital touchpoints were still novel and volume signaled genuine interest. That logic has eroded. According to Demand Gen Report, teams that once celebrated a full MQL dashboard are now rebuilding their measurement frameworks around pipeline created, opportunity conversion rates, and win rates.

The practical problem is that scoring models built around form fills and page views are catching the wrong accounts. A contact who downloads a whitepaper and clicks three emails can score high while the actual buying committee at the same company remains invisible. Intent signals, buying-committee engagement, and fit-based scoring are replacing those legacy inputs because they correlate more directly with accounts sales will actually pursue.

The shift is not purely philosophical. It changes what marketing teams build, buy, and report. A team optimizing for MQL volume runs different campaigns, selects different content formats, and sets different thresholds than one optimizing for pipeline contribution. The budget consequences downstream are significant.

Where scoring models and sales handoffs are breaking down

The 2026 benchmark survey, as described by Demand Gen Report, homes in on four specific fault lines. First, whether scoring models have actually moved beyond behavioral proxies to incorporate intent data and buying-committee signals. Second, how teams are defining 'sales-ready' today versus two years ago, and whether that definition is documented or still informal. Third, which conversion metrics have replaced MQL counts at the reporting level. Fourth, who owns the qualification definition when marketing and sales disagree, and how that handoff is governed.

That last point is consistently where alignment breaks down. Marketing and sales often operate on different assumptions about what makes an account worth pursuing, and those assumptions rarely surface until a rep rejects a batch of leads and the relationship deteriorates. High-performing demand gen teams, according to Demand Gen Report's framing, are the ones that have forced that definition into the open and built scoring criteria around a shared standard.

The survey will also capture how teams are distributing finite budget across ABM and account-based experience programs, content, personalization infrastructure, intent data platforms, and AI-powered tools. That spending picture matters because it will reveal which categories are absorbing incremental investment and which are being cut, a real-time proxy for where practitioners believe the quality signal is strongest.

What the benchmark data will tell procurement and ops leaders

For a VP of marketing operations or a demand gen director walking into a budget review, the benchmark's value is comparative. Knowing that your pipeline conversion rate is 12 percent means little without knowing where the peer cohort sits. The same logic applies to scoring model design: if 60 percent of comparable teams have already moved to intent-based scoring and you are still weighting page views, that gap is a defensible case for platform investment or process redesign.

The survey results will also help teams answer a question that comes up in nearly every annual planning cycle: what to grow and what to cut. Categories that show up repeatedly in high-performers' budgets and correlate with better pipeline metrics are worth expanding. Categories that show up in everyone's budget but do not differentiate high from low performers are candidates for rationalization.

Demand Gen Report is collecting responses now. The findings will reflect how hundreds of demand gen leaders are navigating the quality reset in real time, making the dataset more operationally useful the broader the participation. Teams that contribute get access to benchmarks they can use directly in planning and stakeholder conversations.

What this means for your team

• Audit your current scoring model against the signals the benchmark identifies as most predictive: intent data, buying-committee engagement, and account fit. If your model still weights form fills and page views as primary inputs, that is the first redesign candidate.
• Align with sales on a written definition of 'sales-ready' before the next planning cycle. If the definition lives only in informal understanding, the next lead-quality dispute will repeat the last one.
• Shift your reporting framework from MQL counts to pipeline-created and opportunity conversion rate. If your current tech stack cannot surface those numbers, identify the gap now rather than at year-end review.
• Use the benchmark results, once published, to pressure-test your budget allocations across ABM, intent data, and AI platforms against what high-performing peers are spending and where they are seeing returns.