How to Build an B2B Revenue Growth Strategy: The GTM Maturity Model

There’s a big gap between how most sell and how buyers buy

The buying group your sales team thinks they’re influencing? They’re mostly conducting internal debate over vendors they already knew about long before they ever talked to the first sales rep. 95% of deals are won by a vendor who makes the buying group’s initial Day 1 shortlist, which forms long before your sales team gets involved.

Traditional GTM strategies are built around false assumptions: 


• Maximizing forms fills = maximizing sales opportunities
• You can influence buyers them after they fill out a form
• Sales engages early enough to shape decisions

But that’s not how B2B buying works anymore. Only a small fraction of your target market is actively in-market at any given time. Those who are considering a purchase spend the majority of their nearly yearlong buying journey without you. Your 3-month sales cycle is just the part where they’re willing to take your calls.

Misalignment between GTM strategies and the actual buying creates huge inefficiencies:

• Marketing budget wasted on ineffective spray-and-pray campaigns
• Sales reps chasing opportunities they’ve already lost
• Pipeline that looks healthy but converts poorly
• Revenue targets missed despite everyone working harder

And underneath all of it is a structural problem that more budget and harder work won’t fix.

When teams use different definitions to decide when and how to target accounts, they can’t work in harmony and just create noise.

This is not inevitable. The inefficiencies described above aren’t signs that your team is failing — they’re signs that your GTM strategy was built for a buying process that no longer exists.

The companies pulling ahead aren’t working harder. They’ve rebuilt their approach around how buyers actually behave: engaging accounts during the research phase rather than waiting for a
hand-raise, building familiarity with entire buying groups instead of chasing single contacts, and measuring account progression rather than lead volume.

That shift doesn’t happen all at once, and it doesn’t require abandoning everything you’ve built. It follows a sequence — specific capabilities, in a specific order, that compound on each other.

That’s what this guide maps out.

Understanding the B2B Buying Reality

Let’s start with what’s happening in B2B buying, not what we wish was happening or what worked five years ago, but what research and data consistently show about today’s buyers. Here are some highlights from the 2025 B2B Buyer Experience Report.

The buying committee has taken control

B2B purchases involve an average of 10+ stakeholders. Not “decision makers and a few influencers.” Ten+ people who each have a say, each with different priorities, and each capable of killing the deal.

These individuals are experienced, informed professionals who enter the buying process with favorites already in mind. They prioritize risk mitigation over features. Several may visit your website but rarely fill out forms. And here’s the part that should terrify you: Personas you don’t even target can disqualify you by flagging risk.

This is how enterprises protect themselves from bad decisions. More stakeholders mean more scrutiny, which means more hurdles between you and a signed contract.

Deals are won and lost before buyers talk to sales

Research shows that about 40% of potential customers are currently considering a purchase at any given time — but the vast majority of them are nowhere close to making a purchase decision. About 17% are in the early research awareness stage, 17% have moved into consideration, and just 4% are in the decision stage where they are most receptive to
conversations with sales teams.

Most aren’t ready to talk to sales yet. Instead, they’re:

• Establishing their shortlist
• Exploring options
• Updating their knowledge
• Debating requirements
• Angling to support their preferences

They’re researching but not engaging. By the time they reach consideration, the shortlist is already formed. Research shows that the eventual winner is on the day one shortlist 95% of the time. If you’re not on that initial list of three to five vendors, your chances of winning drop dramatically.

The buying cycle spans roughly 10 months from first interest to signed contract. Meanwhile,sales cycles average a little less than four months. That means six months of evaluation happens in the dark, without your involvement or visibility.

And most evaluations? They end in no purchase. Buyers spend all that time and energy researching, aligning stakeholders, and building consensus, only to maintain the status quo. The bar for switching isn’t just “better than the current solution;” it’s “enough better to justify the risk, cost, and disruption.”

Why traditional B2B sales and marketing approaches fail

The traditional B2B model assumes a linear journey:

Awareness → Consideration → Decision → Purchase

To influence this buyer journey, revenue teams often build a funnel that looks like this:

1. Marketing generates awareness through content and ads.
2. Individuals become leads by converting on forms.
3. Those leads get scored and nurtured.
4. Qualified leads go to sales.
5. Sales works them through stages.
6. Eventually, some close.

This model made sense when:

• Information was harder to find and sellers held the cards
• In-depth research couldn’t start until a buyer raised their hand to talk to sales
• Sales could influence the evaluation criteria early
• The information asymmetry between buyers and sellers meant that the buyer’s research journey was a closer match to the design of the sales funnel

None of these conditions exist anymore.

Modern B2B is non-linear. Committee members enter at different stages. Some start researching six months before their colleagues even know there’s a problem. Others join late but hold veto power. The group zigzags between stages, moving forward in some areas while backtracking in others as new stakeholders get involved.

Lead scoring falls apart because it measures individual behavior, but buying committees make group decisions. Your “hot lead” might be a junior analyst doing research for their own edification. High individual engagement doesn’t tell us what the account is in-market for.

Form conversions are low because buyers are extremely defensive about providing their info lest they get bombarded with unwanted emails and calls. Instead, they visit your website, read your content, watch your videos, and download competitor comparison guides — all anonymously.

By the time someone does fill out a form, they’re often already deep in evaluation. If you’re not providing meaningful engagement until someone fills out a “contact us” form, you’re no longer competing to get on the shortlist. You’ve missed the most important window of influence.

The account-based imperative

Account-based strategies start with a shift from focusing on leads to focusing on accounts. To be effective, you need to:

• Identify your ICP
• Understand which accounts are in-market
• Prioritize buyer enablement and engagement using on buyer signals and fit
• Engage the entire buying committee
• Measure account-level engagement and progression, not individual lead scores

This requires three pillars working together:

1. People: Your marketing, sales, and RevOps teams must align on definitions, share goals, and coordinate actions.
2. Process: You need new workflows for how accounts move through buying stages, how you prioritize and route them, how you orchestrate multi-channel engagement across the committee, and how you measure success
3. Technology: Your platforms must identify accounts showing buying intent, reveal buying group members and their engagement, orchestrate personalized experiences across channels, and provide visibility into account-level health and progression.

None of this works if the three pillars aren’t aligned. Great technology can’t overcome misaligned teams who are working toward different goals. Perfect process falls apart without the right data to fuel decisions. And even the best-aligned team will struggle without systems that support account-based workflows and measurement.

The maturity model as operating system

The GTM Maturity Model:

• Provides the roadmap for building these three pillars in sequence
• Defines what “good” looks like at each stage
• Prioritizes use cases in the order that builds sustainable capability
• Creates shared vocabulary across marketing, sales, and operations so everyone speaks the same language

Think of it as an operating system for your revenue organization. It’s not a silver bullet or a quick fix, but it provides a practical step-by-step framework for evolving from lead-based chaos to account-based orchestration.

Key Takeaways

• 95% of deals go to a vendor on the buying committee’s Day 1 shortlist — a list that forms long before sales gets involved. If you’re not building familiarity early, you’re competing for spots that are already taken.
• The average B2B buying journey spans roughly 10 months. The average sales cycle is 4 months. That means 6 months of evaluation happens without you — unless you have a way to show up during the research phase.
• Buying committees average 10+ stakeholders, and personas you’ve never targeted can disqualify you by flagging risk. Coverage isn’t optional.
• Lead scoring fails in committee-based buying because it measures individual behavior. Individuals consume content all day, every day for personal and professional learning, unrelated to their company’s buying plans. Patterns of group activity matter much more than a single person’s activity. Especially when that individual might not even be a buying group member. Most evaluations end in no purchase. The bar for switching isn’t “better” — it’s “better enough to justify the risk, cost, and disruption.” Your GTM strategy needs to account for inertia as a real competitor.

The 6sense GTM Maturity Model organizes around three sequential stages, 17 use cases, and a simple Crawl, Walk, Run progression model.

The Three Stages

Groundwork build your foundation

This stage establishes the basics that everything else depends on: 

• Defining your ICP with precision
• Configuring buying signals to reveal in-market accounts
• Creating shared language between sales and marketing about what “qualified” means
• Integrating your core tech stack so data flows cleanly
• Ensuring your ICP accounts actually exist in your CRM with proper coverage

Some companies skip this stage because it’s not sexy. But try building a house without a foundation, and you’ll understand why skipping Groundwork leads to campaigns that target the wrong accounts, automation that personalizes to incomplete data, and reports that don’t reconcile because different systems define fields differently.

Transform Build your execution engine

Now you’re activating capabilities that generate pipeline through: 

• Paid campaigns that target in-market accounts with buying stage-specific messaging
• Smart forms and personalized inbound experiences that adapt based on account data
• Automated email sequences that respond to intent signals in real-time
• Sales prospecting that activates the signals from the buying journey and intelligently engages entire buying committees
• Account-based qualification and opportunity management processes
• Automated buying committee data enrichment
• Reporting frameworks that measure account engagement rather than just lead volume

Some organizations think they’ve transformed once the data is in place. But without orchestration, insights don’t turn into impact. Skipping Transform leads to parallel motions, marketing running programs, sales running plays, and RevOps trying to reconcile the two after the fact. This stage is where insights are activated across workflows, teams align around the same buying signals, and execution becomes repeatable instead of reactive.

maximize Build your competitive moat

You’re shifting from reactive to predictive operations by: 


• Deploying true 1:1 personalization across web, chatbot, and content experiences based on real-time intent and engagement data
• Using insights to optimize field programs, event targeting, and invitation sequences
• Implementing data-driven deal coaching and refined sales playbooks based on what actually drives wins rather than what feels right
• Achieving +/-5% forecast accuracy because you’re incorporating buying journey signals, building dynamic territories that adapt to market demand, and modeling capacity needs based on actual conversion data and sales activity efficiency

This is continuous optimization rather than a project with an end date. It requires executive sponsorship, advanced analytics capability, and cultural commitment to data-driven decision making. The output is sustainable competitive advantage; you’re operating at a level most competitors can’t match because they’re still stuck fixing their foundational issues.

The 18 use cases

These stages break down into 18 specific use cases, organized by function:

Notice the distribution. It’s not “marketing does ABM while everyone else watches.” It’s a cross-functional GTM motion where every team has clear ownership of specific capabilities that must work together to create a coherent buyer experience.

Crawl, Walk, Run progression

Within each use case, there are three maturity levels that represent increasing sophistication without requiring you to rebuild what came before.

Crawl is the minimum viable implementation where you’re getting the basics working: Systems are connected, definitions are agreed upon, initial workflows are in place. And you’re measuring whether it’s working.

Walk adds sophistication and scale by segmenting more granularly, adding additional data sources, creating more refined targeting, and expanding to multiple channels or use cases while measuring how well it’s working so you can optimize based on results.

Run is where it becomes a strategic advantage because you’re operating in real-time, decisions are automated based on signals, you’re continuously improving based on performance data, and you’re measuring business impact rather than just activity metrics.

The sequence matters

You can’t automate personalized email if you haven’t optimized buying signals. You’d be automating outreach to the wrong people at the wrong time.

Each use case has prerequisites. Each stage builds on the last.

Groundwork Stage

Groundwork is where you build the foundation for everything that follows. You’re preparing the ground before you build the house, establishing the basics that determine whether everything else succeeds or fails.

What you’re building: A shared understanding across your GTM organization of:

• Who you’re targeting
• How you identify buying intent
• What “qualified” means
• How data flows between systems

You’re also ensuring that your target accounts actually exist in your CRM with proper ownership and coverage. These sound simple until you actually try to get marketing, sales, and RevOps to agree on ICP criteria or discover that 40% of your “priority accounts” don’t have owners assigned.

Why this matters: Every downstream capability depends on Groundwork being solid. If your ICP definition is vague, your advertising campaigns will target the wrong accounts. If intent signals aren’t configured properly, sales’ messaging will not align with the topics accounts really care about. If your tech stack isn’t integrated, you’ll have data living in silos that never reconcile. If accounts aren’t properly covered in CRM, you can’t route or measure anything effectively.

Common challenges: The biggest challenge is that Groundwork feels like it’s slowing you down. Executives want to see campaigns launching and pipeline flowing, but you’re asking for 60-90 days to “get organized.” Marketing wants to run ads now, but you’re saying they need to wait until segments are properly defined. Sales wants leads, but you’re explaining why the definition of “qualified” needs to change.

The second challenge is that Groundwork requires uncomfortable conversations. When you try to align on ICP criteria, you’ll discover that marketing has been targeting companies that sales considers out of scope. When you map out account coverage, you’ll find gaps and overlaps that reveal territory planning problems. When you integrate systems, you’ll uncover data quality issues that everyone knew about but nobody wanted to address.

Success factors: Three things determine whether you successfully complete Groundwork:

1. Executive sponsorship for doing the unglamorous work. Someone senior needs to protect the team from pressure to “just launch something” before the foundation is ready.
2. Cross-functional commitment to having hard conversations about definitions, coverage, and data quality. This requires active participation from marketing and sales leadership.
3. Ruthless honesty about what’s actually working versus what you wish was working. If your buying signals aren’t revealing in-market accounts, don’t pretend they are. Fix them before moving forward.

Transform Stage

Transform is where you shift from having a solid foundation to actually generating pipeline through coordinated, automated GTM motions. You’ve built the basics in Groundwork; now you’re activating capabilities that scale your reach, personalize your engagement, and generate measurable business results.

What you’re building:  

• Execution capabilities that put your foundation to work
• Paid campaigns that target in-market accounts with messaging tailored to their buying stage
• Smart forms and personalized inbound experiences that adapt based on who’s visiting your site
• Email sequences that respond to intent signals in real time
• Tools and alerts to help sales to prospect intelligently across entire buying groups rather than single-threading to whoever filled out a form
• Account-based qualification so opportunities enter your pipeline with real intent data rather than just demographic scoring
• Automatic data enrichment so sales has the contacts they need
• Reporting frameworks that measure what actually matters: account engagement and progression.

Why this matters: Groundwork gave you visibility into which accounts are in-market and what they’re researching. Transform is where you research and influence buyers at scale. Without Transform capabilities, you’re stuck with manual processes:

• Sales reps individually researching accounts and crafting personalized outreach one at a time
• Marketing running broad campaigns that can’t differentiate between buying stages
• Everyone wondering why the “account-based strategy” isn’t delivering the results you expected.

Transform is also where budget becomes real. You’re paying for contact data acquisition, expanded platform usage, additional integrations, and potentially headcount to manage increased volume. You’re investing in training and enablement because new processes require new skills, and even the best technology fails without adoption.

Common challenges: The biggest mistake is trying to activate everything at once. Transform includes seven use cases, and companies often want to launch them all simultaneously to show momentum. Being intentional about phasing change will ensure your team and your culture adapts to each change. You’ll get better results by sequencing deliberately, starting with one digital advertising channel before expanding to three, proving personalized email works before building five different agents, and establishing basic opportunity management before trying to optimize your entire sales methodology.

The second mistake is measuring too early. Transform capabilities need time to generate enough data to evaluate performance. If you launch a digital advertising campaign and judge it after two weeks, you won’t have statistical significance. If you deploy personalized email and expect immediate pipeline impact, you’ll be disappointed. Give capabilities at least 60-90 days to mature before making major pivots.

The third mistake is treating Transform as a marketing project when it requires true sales partnership. Marketing can build and launch campaigns all day, but if sales isn’t equipped to handle the engaged accounts those campaigns generate, you’ll generate activity without pipeline.

Success factors: Three things determine whether you successfully complete Transform:

1. Dedicated ownership for each use case. You can’t have “marketing” own all the marketing use cases as a side project; you need a demand gen manager focused on paid campaigns, someone managing email automation, and someone handling inbound optimization. Diffused responsibility leads to half-implemented capabilities.
2. Sales enablement rigor. The Transform use cases that involve sales (Prospect Intelligently, Qualify & Manage Opportunities) fail without structured enablement to aid marketing and sales alignment: playbooks, training, manager reinforcement, and accountability for using new processes.
3. Patience with iteration. Your first personalized email campaign won’t be perfect. Your initial digital advertising targeting will need refinement. Your opportunity qualification criteria will evolve. That’s normal. The goal is to launch, measure, learn, and optimize.

Maximize Stage

Maximize is where you shift from reactive execution to predictive optimization. You’ve built the foundation in Groundwork and activated execution capabilities in Transform; now you’re using real-time data and AI to create personalized experiences at scale, make territory and capacity decisions based on market demand rather than spreadsheets, and achieve forecast accuracy that actually helps you plan the business.

What you’re building: Advanced capabilities that turn your GTM motion into a competitive advantage.

You’re: 

• Deploying 1:1 personalization across web, chatbot, and content experiences that adapt based on what each account is actively researching
• Using intent signals to optimize field programs and event strategies so your highest-value face-to-face interactions happen with the right accounts at the right time
• Implementing data-driven sales coaching and refined methodologies based on what drives wins, not what feels right
• Achieving forecast accuracy within +/- 5% because you’re incorporating buying journey signals that predict deal outcomes
• Building dynamic territories that automatically adjust based on market coverage and demand
• Modeling capacity needs based on actual conversion data rather than hoping your hiring plan matches market reality

Why this matters: Transform capabilities generate pipeline, but Maximize capabilities improve efficiency, velocity, and predictability at scale. Without Maximize, you’re manually managing what should be automated, making territory decisions once a year when they should adapt continuously, and forecasting based on rep sentiment when you could be using behavioral data.
The companies that reach Maximize maturity don’t just execute better than competitors; they operate on fundamentally different information that allows them to make smarter strategic decisions faster.

Maximize is also where ROI compounds. The investment in Groundwork and Transform starts paying sustained dividends because you’re continuously optimizing based on performance data. Your campaigns get better because you know which messages resonate. Your sales process improves because you know which behaviors correlate with wins. Your resource allocation gets smarter because you can predict where demand will emerge.

Common challenges: The biggest challenge is moving into the Maximize phase before you’re actually ready. Companies see impressive capabilities like dynamic territories or predictive forecasting and want to jump straight there, but those capabilities only work when you have clean data from solid Groundwork and consistent execution from mature Transform use cases.
Building Maximize on a shaky foundation means your predictions will be wrong, your personalization will feel broken, and your dynamic territories will create more problems than they solve.

The second challenge is treating Maximize as a destination rather than continuous improvement. There’s no finish line where you’ve “completed” Maximize and can stop iterating. At this maturity level, you’re always testing new approaches, refining existing capabilities, and adapting to market changes. The mindset shift is from “implement the use case” to “continuously optimize the system.”

The third challenge is maintaining organizational alignment as capabilities become more sophisticated. Maximize requires even tighter coordination between marketing, sales, and RevOps than Transform did. Dynamic territories only work if marketing, sales ops, and sales leadership all agree on coverage philosophy. Forecast accuracy requires sales reps to trust the data enough to incorporate it into their pipeline reviews. Personalization at scale requires content, design, and demand gen working together seamlessly.

Success factors: Three things determine whether you successfully reach and sustain Maximize maturity:

1. Executive sponsorship for experimentation and iteration. Maximize requires ongoing investment in testing and optimization, which means some experiments will fail. Leadership needs to create space for learning rather than expecting every initiative to succeed immediately.
2. Advanced analytics capability either in-house or through partners. Maximize use cases require people who can build predictive models, run cohort analyses, design experiments, and translate data into strategic recommendations. This isn’t entry-level marketing ops work.
3. Cultural commitment to data-driven decision making where data informs strategy and tactics rather than just validating decisions already made. If your organization still makes major decisions based on HiPPO (Highest Paid Person’s Opinion) rather than performance data, Maximize capabilities won’t get used regardless of how well they’re built.

The sequence matters

You can’t automate personalized email if you haven’t optimized buying signals. You’d be automating outreach to the wrong people at the wrong time.

Each use case has prerequisites. Each stage builds on the last.

Groundwork stage

Groundwork is where you build the foundation for everything that follows. You’re preparing the ground before you build the house, establishing the basics that determine whether everything else succeeds or fails.

What you’re building: A shared understanding across your GTM organization of:

• Who you’re targeting
• How you identify buying intent
• What “qualified” means
• How data flows between systems

You’re also ensuring that your target accounts actually exist in your CRM with proper ownership and coverage. These sound simple until you try to get marketing, sales, and RevOps to agree on ICP criteria or discover that 40% of your “priority accounts” don’t have owners assigned.

Why this matters: Every downstream capability depends on Groundwork being solid. If your ICP definition is vague, your advertising campaigns will target the wrong accounts. If intent
signals aren’t configured properly, sales’ messaging will not align with the topics accounts really care about. If your tech stack isn’t integrated, you’ll have data living in silos that never reconcile.
If accounts aren’t properly covered in CRM, you can’t route or measure anything effectively.

Common challenges: The biggest challenge is that Groundwork feels like it’s slowing you down. Executives want to see campaigns launching and pipeline flowing, but you’re asking for
60-90 days to “get organized.” Marketing wants to run ads now, but you’re saying they need to wait until segments are properly defined. Sales wants leads, but you’re explaining why the definition of “qualified” needs to change.

The second challenge is that Groundwork requires uncomfortable conversations. When you try to align on ICP criteria, you’ll discover that marketing has been targeting companies that sales considers out of scope. When you map out account coverage, you’ll find gaps and overlaps that reveal territory planning problems. When you integrate systems, you’ll uncover data quality issues that everyone knew about but nobody wanted to address.

Success factors: Three things determine whether you successfully complete Groundwork:

1. Executive sponsorship for doing the unglamorous work. Someone senior needs to protect the team from pressure to “just launch something” before the foundation is ready.
2. Cross-functional commitment to having hard conversations about definitions, coverage, and data quality. This requires active participation from marketing and sales leadership.
3. Ruthless honesty about what’s working versus what you wish was working. If your buying signals aren’t revealing in-market accounts, don’t pretend they are. Fix them before moving forward.

Transform stage

Transform is where you shift from having a solid foundation to actually generating pipeline through coordinated, automated GTM motions. You’ve built the basics in Groundwork; now you’re activating capabilities that scale your reach, personalize your engagement, and generate measurable business results.

What you’re building:

• Execution capabilities that put your foundation to work
• Paid campaigns that target in-market accounts with messaging tailored to their buying stage
• Smart forms and personalized inbound experiences that adapt based on who’s visiting your site
• Email sequences that respond to intent signals in real time
• Tools and alerts to help sales to prospect intelligently across entire buying groups rather than single-threading to whoever filled out a form
• Account-based qualification so opportunities enter your pipeline with real intent data rather than just demographic scoring
• Automatic data enrichment so sales has the contacts they need
• Reporting frameworks that measure what actually matters: account engagement and progression.

Why this matters: Groundwork gave you visibility into which accounts are in-market and what they’re researching. Transform is where you research and influence buyers at scale. Without Transform capabilities, you’re stuck with manual processes:

• Sales reps individually researching accounts and crafting personalized outreach one at a time
• Marketing running broad campaigns that can’t differentiate between buying stages
• Everyone wondering why the “account-based strategy” isn’t delivering the results you expected.

Transform is also where budget becomes real. You’re paying for contact data acquisition, expanded platform usage, additional integrations, and potentially headcount to manage increased volume. You’re investing in training and enablement because new processes require new skills, and even the best technology fails without adoption.

Common challenges: The biggest mistake is trying to activate everything at once. Transform includes seven use cases, and companies often want to launch them all simultaneously to show momentum. Being intentional about phasing change will ensure your team and your culture adapts to each change. You’ll get better results by sequencing deliberately, starting with one digital advertising channel before expanding to three, proving personalized email works before building five different agents, and establishing basic opportunity management before trying to optimize your entire sales methodology.

The second mistake is measuring too early. Transform capabilities need time to generate enough data to evaluate performance. If you launch a digital advertising campaign and judge it after two weeks, you won’t have statistical significance. If you deploy personalized email and
expect immediate pipeline impact, you’ll be disappointed. Give capabilities at least 60-90 days to mature before making major pivots.

The third mistake is treating Transform as a marketing project when it requires true sales partnership. Marketing can build and launch campaigns all day, but if sales isn’t equipped to handle the engaged accounts those campaigns generate, you’ll generate activity without
pipeline.

Success factors: Three things determine whether you successfully complete Transform:

1. Dedicated ownership for each use case. You can’t have “marketing” own all the marketing use cases as a side project; you need a demand gen manager focused on paid campaigns, someone managing email automation, and someone handling inbound optimization. Diffused responsibility leads to half-implemented capabilities.
2. Sales enablement rigor. The Transform use cases that involve sales (Prospect Intelligently, Qualify & Manage Opportunities) fail without structured enablement to aid marketing and sales alignment: playbooks, training, manager reinforcement, and accountability for using new processes.
3. Patience with iteration. Your first personalized email campaign won’t be perfect. Your initial digital advertising targeting will need refinement. Your opportunity qualification criteria will evolve. That’s normal. The goal is to launch, measure, learn, and optimize.

Maximize stage

Maximize is where you shift from reactive execution to predictive optimization. You’ve built the foundation in Groundwork and activated execution capabilities in Transform; now you’re using real-time data and AI to create personalized experiences at scale, make territory and capacity decisions based on market demand rather than spreadsheets, and achieve forecast accuracy that actually helps you plan the business.

What you’re building: Advanced capabilities that turn your GTM motion into a competitive advantage.

You’re:

• Deploying 1:1 personalization across web, chatbot, and content experiences that adapt based on what each account is actively researching
• Using intent signals to optimize field programs and event strategies so your highest-value face-to-face interactions happen with the right accounts at the right time
• Implementing data-driven sales coaching and refined methodologies based on what drives wins, not what feels right
• Achieving forecast accuracy within +/- 5% because you’re incorporating buying journey signals that predict deal outcomes
• Building dynamic territories that automatically adjust based on market coverage and demand
• Modeling capacity needs based on actual conversion data rather than hoping your hiring plan matches market reality

Why this matters: Transform capabilities generate pipeline, but Maximize capabilities improve efficiency, velocity, and predictability at scale. Without Maximize, you’re manually managing
what should be automated, making territory decisions once a year when they should adapt continuously, and forecasting based on rep sentiment when you could be using behavioral data.
The companies that reach Maximize maturity don’t just execute better than competitors;
they operate on fundamentally different information that allows them to make smarter strategic decisions faster.

Maximize is also where ROI compounds. The investment in Groundwork and Transform starts paying sustained dividends because you’re continuously optimizing based on performance data. Your campaigns get better because you know which messages resonate. Your sales process improves because you know which behaviors correlate with wins. Your resource allocation gets smarter because you can predict where demand will emerge.

Common challenges: The biggest challenge is moving into the Maximize phase before you’re actually ready. Companies see impressive capabilities like dynamic territories or predictive
forecasting and want to jump straight there, but those capabilities only work when you have clean data from solid Groundwork and consistent execution from mature Transform use cases. Building Maximize on a shaky foundation means your predictions will be wrong, your personalization will feel broken, and your dynamic territories will create more problems than they solve.

The second challenge is treating Maximize as a destination rather than continuous improvement. There’s no finish line where you’ve “completed” Maximize and can stop iterating. At this maturity level, you’re always testing new approaches, refining existing capabilities, and adapting to market changes. The mindset shift is from “implement the use case” to
“continuously optimize the system.”

The third challenge is maintaining organizational alignment as capabilities become more sophisticated. Maximize requires even tighter coordination between marketing, sales, and RevOps than Transform did. Dynamic territories only work if marketing, sales ops, and sales
leadership all agree on coverage philosophy. Forecast accuracy requires sales reps to trust the data enough to incorporate it into their pipeline reviews. Personalization at scale requires content, design, and demand gen working together seamlessly.

Success factors: Three things determine whether you successfully reach and sustain
Maximize maturity:

1. Executive sponsorship for experimentation and iteration. Maximize requires ongoing investment in testing and optimization, which means some experiments will fail. Leadership needs to create space for learning rather than expecting every initiative to succeed immediately.
2. Advanced analytics capability either in-house or through partners. Maximize use cases require people who can build predictive models, run cohort analyses, design experiments, and translate data into strategic recommendations. This isn’t entry-level marketing ops work.
3. Cultural commitment to data-driven decision making where data informs strategy and tactics rather than just validating decisions already made. If your organization still makes major decisions based on HiPPO (Highest Paid Person’s Opinion) rather than performance data, Maximize capabilities won’t get used regardless of how well they’re built.

You’ve completed your self-assessment. You know which stage you’re in and which use cases need work. Now what?

The B2B buying reality we described in the Executive Summary and “Why GTM Plans Fall Short” isn’t getting easier. Buying groups are complex, most of the journey happens before sales engagement, and the bar for making shortlists keeps rising.

Companies that continue operating with lead-based GTM strategies will fall further behind, wasting budget on out-of-market accounts and missing shortlists. Companies that commit to the maturity journey will enjoy compounding advantages over time with better targeting, earlier engagement, broader buying group coverage, and true marketing-sales orchestration. The gap between these two groups will widen year over year.

Whether you tackle this with internal resources or work with 6sense for assessment and implementation support, the framework in this guide is yours to use. The worst option is doing nothing.

Start with honest prioritization. Most companies want to work on everything simultaneously because every use case sounds important. Resist this urge. The Maturity Model works sequentially for a reason; later use cases depend on earlier ones being solid.

The key is identifying your biggest constraint or opportunity and starting there rather than trying to optimize everything at once.

Build your 90-day plan

Regardless of which stage you’re in, structure your implementation in 90-day increments. This timeframe is long enough to make meaningful progress but short enough to maintain urgency and course-correct if needed.

Weeks 1-2: Planning and alignment

• Finalize which use cases you’re tackling
• Assign clear owners for each use case
• Establish success criteria and metrics
• Identify dependencies and prerequisites
• Secure necessary budget and resources
• Create detailed project plans with milestones

Weeks 3-8: Implementation 

• Configure platform capabilities
• Build necessary integrations or workflows
• Create supporting content and assets
• Train teams on new processes and tools
• Launch pilots or initial implementations
• Gather early feedback and iterate

Weeks 9-11: Optimization and scaling 

• Review early results against success criteria
• Refine based on what you’ve learned
• Expand from pilots to broader rollout
• Document processes and best practices
• Build accountability into ongoing operations

Week 12: Review and next planning 


• Measure outcomes against objectives
• Identify what worked and what didn’t
• Determine readiness to advance or need to strengthen
• Plan next 90-day cycle

This cadence creates regular checkpoints while preventing the “we’ll get to it eventually” drift that kills momentum.

Create accountability structures

The best roadmap in the world fails without clear ownership and accountability. For each use case you’re implementing, establish:

Who owns it: One person whose job it is to make this succeed. Not a committee, not “marketing” as an abstract entity, but a specific human who will be held accountable for results.

What success looks like: Specific, measurable outcomes you’ll achieve within defined timeframes. “Implement smart forms” is not success criteria. “Increase form completion rate by 20% within 60 days” is success criteria.

When milestones happen: Key dates for planning, implementation, launch, and review. Put them on shared calendars and treat them like customer commitments.

How you’ll measure: The specific metrics you’ll track to know if it’s working. Define these upfront, not after you’ve launched.

Where you’ll review: Regular cadence for reviewing progress, like weekly standups for active implementation, monthly business reviews for in-flight capabilities, quarterly strategic reviews for portfolio performance.

Plan for change management

The technical implementation is often easier than getting people to change how they work. Build change management into your roadmap from the start.

For marketing teams: 


• Communicate why you’re shifting to account-based approaches and what it means for their work
• Train on new platforms and processes before expecting adoption
• Celebrate early wins to build momentum
• Provide ongoing support as people learn new ways of working

For sales teams:

• Get leadership buy-in before rolling out new processes
• Show reps what’s in it for them (how will this make their job easier or more successful?)
• Start with champions who can demonstrate success and influence peers
• Build accountability through manager coaching, not just announcements
• Be patient with adoption curves — behavior change takes time

For executive stakeholders:

• Set realistic expectations about timelines and results
• Report on progress regularly using metrics they care about
• Escalate blockers early so they can be addressed
• Celebrate milestones to maintain support and investment

The technical work is table stakes. The people work is what determines whether capabilities actually get used.

Know when to pause versus push

As you execute your roadmap, you’ll hit obstacles. The key is knowing when to pause and strengthen your foundation versus when to push through temporary challenges.

Pause and strengthen when:

• Adoption is consistently below 50% despite training and communication
• Data quality issues are undermining the use case (garbage in, garbage out)
• Integration problems are creating manual workarounds that don’t scale
• Teams are fundamentally misaligned on strategy or definitions
• Results after 90 days show no improvement over baseline

Push through when:

• Initial adoption is slow but growing as people get comfortable
• Results are trending positive but haven’t reached targets yet
• Obstacles are tactical (need different messaging, better training) not foundational
• Teams are aligned but execution needs refinement
• You’re in the natural learning curve of a new capability

If your foundation is shaky, building on top of it will fail. Be willing to step back and shore up Groundwork or Transform before advancing to the next stage.

Celebrate progress

GTM transformation is a marathon, not a sprint. The journey from Groundwork to Maximize typically takes 18-24 months of focused effort. That’s a long time to wait for a victory lap.

Build celebration into your roadmap. When you complete a use case at Walk maturity, acknowledge the team’s work. When you see a metric improve significantly, share it widely. When a rep successfully uses intent signals to land a big meeting, highlight it in the team meeting. When a campaign generates strong 6QA conversion, recognize the demand gen team.

These moments of recognition serve two purposes: they reward the people doing the hard work of change, and they create social proof that the new approach is working. Both are essential for sustaining momentum over the long transformation journey.