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Is GTM Waste Slowing Down Your Revenue Engine?

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B2B revenue teams have more technology and data at their disposal than ever. Yet for many enterprise organizations, increased resources aren’t delivering predictable business growth.

A large part of the problem is go-to-market (GTM) waste. When sales, marketing, customer success and finance operate across disconnected systems and conflicting growth playbooks, it’s easy to mistake activity for progress. Pipelines look healthy and dashboards stay busy, but those signals don’t necessarily translate into revenue wins.

Reducing this kind of GTM waste starts with identifying where it hides in your operations and simplifying the processes that allow it to accumulate. 

Here’s how revenue leaders can better align their GTM teams and focus resources on what drives growth.

Key Takeaways

  • Pipeline volume can create a false sense of progress. Deals that sit in mid-funnel stages without meaningful activity can obscure the pipeline’s true conversion potential.
  • Disconnected tools create disconnected data. Moving CRM data into separate systems or AI applications can push valuable insights outside the tools teams across the organization rely on.
  • More AI doesn’t mean better insights. As automated tools generate more data, teams need to separate useful signals from activity that doesn’t contribute to pipeline.
  • Reducing GTM waste requires simplification. Shared definitions and streamlined CRM data help teams more easily identify and replicate activities contributing to business growth.

Where Does GTM Waste Accumulate?

GTM waste often builds gradually in the systems and processes revenue teams use every day. The two most common contributors are inflated pipelines and unnecessary CRM complexity.

Pipeline bloat happens when poorly qualified deals sit in mid-funnel stages for months without meaningful activity or clear next steps. These opportunities make the pipeline look healthy on paper, but their likelihood of conversion is often close to zero. This gives leaders an inaccurate picture of pipeline health — and worse, a fractured baseline for decision-making.

CRM complexity creates a different kind of waste. Over time, systems accumulate custom properties across contact, company and deal records that teams rarely populate or use. These unnecessary fields can slow down systems, clutter interfaces for reps and introduce unreliable data into advanced analytics and AI.

At scale, these issues extend well beyond revenue operations (RevOps). Inflated pipelines can cause leaders to make hiring, investment or expansion decisions based on demand that isn’t there, while system complexity can create inconsistent messaging and unnecessary steps for customers and employees. Over time, that friction can contribute to churn and damage the company’s reputation or market position.

How Can AI Make GTM Silos Worse?

GTM silos form when teams operate with disconnected systems, processes or information. AI can deepen these divides when teams use separate AI tools and workflows that aren’t connected to shared RevOps systems. 

As a result, critical customer context starts to live outside the organization’s central system of record. This widens information gaps and increases the likelihood of GTM waste.

For example, reps may pull CRM records into standalone AI tools to generate summaries or insights, then store those outputs locally rather than returning them to the CRM. This means other reps and teams lose access to insights that could help shape how they engage the same prospects and other customers in the future.

The disconnect ripples through the full customer lifecycle:

  • Marketing builds campaigns around an overly narrow interpretation of the ideal customer profile (ICP), lowering engagement.
  • Sales approaches prospects with different messaging and value propositions, creating friction across touchpoints.
  • Customer Success inherits accounts without a central record of commitments made during the sales process, leading to a negative onboarding experience.

Keeping AI-generated insights within a shared system of record allows every interaction to build on what the organization already knows about its prospects and customers. That shared context supports better decision-making and a more consistent customer experience, reducing GTM waste.

How Revenue Teams Can Help Reduce GTM Waste

Reducing GTM waste starts with simplifying existing systems, clarifying processes and setting clear standards for how revenue opportunities move through the organization.

Start with these three steps:

Step 1: Audit CRM Fields and Properties

Review the custom properties across your CRM and identify which support teams’ daily workflows and which add noise. 

Archive or remove fields with low completion rates that don’t inform pipeline reporting, audience segmentation or routing so reps can focus on capturing data that serves a clear purpose. This also improves the quality of data you feed into AI tools, increasing the likelihood of strong outputs.

Step 2: Standardize ICP and Lifecycle Definitions

Sales, marketing and customer success should share the same definitions for an ideal customer, qualified lead and opportunity. Documenting those criteria in a central system gives teams a consistent way to qualify prospects, manage handoffs and measure performance.

Start by bringing leaders from each function together to agree on the shared standards. You can use existing CRM and conversion data to ground the discussion in how prospects currently move through the funnel, and what you want to reinforce or change about those behaviors. 

While all stakeholders should play a role in the upfront alignment step, consider assigning a single owner, such as the RevOps leader, who is responsible for maintaining performance once in motion. Clarity about who has decision-making authority introduces a layer of accountability that helps resolve disagreements, apply insights faster and prevents definitions from stalling.

Step 3: Establish Clear Pipeline Criteria

Define entry and exit criteria for each sales stage so opportunities remain in the pipeline only when they’re actively progressing. For example, deals with no meaningful activity for 60 days can be moved to Closed-Lost or returned to marketing for more targeted nurturing.

Upfront alignment on pipeline criteria makes it easier to call upon AI solutions to automate upkeep. With clearly defined practices in place, teams can confidently shift manual workflows to AI tools, leaving humans with more time to focus on revenue-generating tasks.

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Reduce GTM Waste to Drive More Predictable Business Outcomes

Reducing GTM waste means removing unnecessary complexity from the systems revenue teams rely on. Doing so makes it easier to see what’s working, identify where opportunities are getting stuck and focus resources where they can drive the greatest impact.

Getting these basics right also makes it easier to adopt new technology as the GTM environment evolves — and for RevOps teams to collaborate with other functions tasked with growing the business.

Ready to simplify your GTM operations and improve revenue performance? Talk to our team to get started.

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