In too many B2B organizations, marketing performance is trapped in disconnected systems and dashboards that don't deliver clarity or impact. The tech stack is fragmented. The data is messy. And the story marketing tells isn't landing in the boardroom. At a time when marketing teams are being asked to justify spend and performance like never before, the lack of connected systems and usable data is a business risk. The good news? There are clear, pragmatic ways forward.
In November, the Wall Street Journal reported that Accenture and Jeffrey Katzenberg’s WndrCo had invested in Alembic, an AI-powered marketing platform aimed at helping brands show links between marketing activity and business results. It’s not hard to see why: companies are desperate for solutions that can cut through the noise and quantify marketing impact.
The fact that Alembic garnered this level of investment and attention points to a deeper issue: we’ve built sprawling stacks of technology but still can’t get the answers we need.
Earlier this summer, Harvard Business Review published research validating what most marketers see firsthand every day: marketing tech stacks are bloated, underused, and failing to deliver real insight. Nearly 50% of MarTech systems go unused. Most companies over-invest in tools and under-invest in integration and governance. Even when organizations want to integrate their stacks, they often run headfirst into technical limits. APIs don’t expose all the data teams need. Field definitions vary widely across platforms. One platform reports impressions and clicks, the other reports reach and engagement, and privacy compliance makes it difficult to connect any of those to lead generations results, let alone revenue. What looks like an easy integration on paper quickly turns into a patchwork of partial connections, workarounds, and manual reconciliation.
In recent months, I’ve had several conversations with marketing leaders all echoing the same concern: How do I show the impact of our marketing?
Across industries—especially those with complex, long B2B sales cycles like energy, cleantech, and advanced manufacturing—the story repeats. Teams are swimming in data but can’t get a clean view of performance. Attribution models are unreliable and underused, not because marketers don’t value them, but because they are overcomplicated and built on incomplete or inconsistent data. CRM and marketing automation platforms don’t meaningfully connect with marketing channels, leaving gaps at the exact moments where insight matters most. Sales is seeing one set of numbers; marketing is seeing another. The C-suite? Losing patience.
And as recent studies show, it’s widespread. According to a 2025 McKinsey-backed report, not one of the 50+ Fortune 500 CMOs surveyed could clearly articulate the ROI of their MarTech stack. And across the board, only 10–15% of MarTech capabilities are effectively activated.
We have more tech than ever, but we’re missing integration and insight.
The causes of this disconnect are surprisingly consistent across companies and sectors. Despite the variation in industries, the root issues tend to show up in similar ways. Here’s what we see most often:
This creates operational drag across every stage of the revenue engine—wasting time, dollars, and decisions.
Fixing this requires more than swapping out tools. It demands an operational shift. Marketing systems need to be treated not as a collection of platforms, but as a unified business capability that drives outcomes, not just outputs. This is where a RevOps approach is especially powerful. By unifying people, process, and platforms, RevOps creates the infrastructure to measure and improve revenue performance across the full lead-to-cash cycle. So what does that look like? Here are five actions we’ve seen make the biggest difference:
Define success in business terms: pipeline velocity, win rates, customer lifetime value, revenue contribution.
Audit your current tech ecosystem. Identify redundancies and eliminate bloat.
Standardize definitions across marketing and sales.
Establish data governance, ownership, and hygiene protocols.
Build one source of truth in a central dashboard. No more reconciling data to get an answer (this is a key area we’ve leaned into with clients that’s unlocked significant ROI using tools like Google Looker Studio or PowerBI).
Note: A shared foundation doesn’t require every platform to talk perfectly to one another. It requires identifying a minimum set of data needed to answer core business questions and deliberately engineering around platform limitations when necessary.
Focus on dashboards that reveal insights that drive action: what’s working, what’s not, and what’s next.
Avoid overwhelming stakeholders with every metric. Highlight what matters to business performance.
Create shared accountability between marketing, sales, and operations.
RevOps isn’t just about efficiency—it’s about building a shared language and operating model that turns insight into action.
In our client work, we’ve seen how powerful these shifts can be. One client had solid campaigns and decent lead flow—but was finding it difficult to tie marketing activity to revenue. We helped them integrate their CRM, automation platform, and analytics stack into a single measurement model. By simplifying and centralizing their stack, and creating a unified taxonomy across teams, we helped them gain alignment on what mattered most: which efforts were actually driving deals.
Data is about more than dashboards. It’s about decisions. And when your data infrastructure supports decision-making, marketing shifts from a cost center to a strategic growth driver.
As marketing budgets tighten, and as CMOs face rising pressure to prove ROI, clarity isn’t a luxury. It’s a mandate. The teams that will thrive in the next 12–18 months will be the ones who can look a CFO in the eye and say: Here’s what we did. Here’s what it drove. Here’s what we’ll do next.
