A practical guide by Robert Urban
Marketing frameworks
that earn their keep.
RM6, revenue marketing, and the systems that connect customer understanding, creative work, and commercial results.
Ohhh, ohhh, it’s framework time. Give me a second while I get my scientist hat out of the closet. I keep it next to the writer’s hat because both are going to have opinions about this.
A business can have a marketing plan, a CRM full of contacts, an automation platform sending emails, and a monthly report that requires its own table of contents, yet still struggle to answer a reasonable question: Why should we believe any of this is helping us grow?
The problem is not necessarily a shortage of effort. People may be working hard, producing good material, and managing their individual responsibilities well. The trouble starts when those responsibilities do not connect. Marketing celebrates inquiries. Sales complains about their quality. Leadership asks about revenue. The customer receives three emails that suggest nobody has compared notes.
Marketing frameworks can help untangle that situation. Used well, they give people a common way to make decisions, understand customers, assign responsibility, and evaluate progress. Used poorly, they provide a more sophisticated vocabulary for the same confusion.
I like frameworks that make the work clearer. I have much less patience for frameworks that make the explanation longer while leaving the decision untouched.
From STP and SOSTAC to the Bowtie, product-led growth, and revenue attribution, these approaches solve different problems. Some help you understand a customer. Others organize a team, diagnose a handoff, or examine a growth assumption. Comparing them requires more than declaring a winner.
One I particularly admire is The Pedowitz Group’s RM6 framework, sometimes written as RM-6. Its appeal, to me, is that it strips away much of the fluff that accumulates around marketing and brings attention back to the capabilities a business actually needs. It is a brilliant way to organize a difficult conversation about how marketing contributes to business performance.
The useful question is what each approach helps you decide, where it stops being helpful, and how those decisions become something your people and technology can execute.
The point of view
The scientist in me loves the data. The writer wants to know why anyone should care.
The scientist in me loves data and analytics. Give me a pattern worth investigating, a result that does not fit the explanation, or a set of numbers that changes once you ask a better question, and I am interested. I want to know what happened, how confident we should be, and what else could explain it.
The creative side of me is just as invested. I love the story, the unexpected connection, the detail that makes someone stop because it describes their situation better than they could. A business can be statistically well informed and painfully forgettable. It can also tell a wonderful story that attracts entirely the wrong customer.
Those two instincts belong in the same room. Research helps me understand what matters. Creativity helps me communicate it in a way someone can feel, remember, and use. Then the evidence tells me where the work connected and where my favorite idea may have missed.
That last part matters. Loving data includes being willing to let it disagree with you. A headline I like does not deserve permanent employment because I enjoyed writing it. But I also will not declare a meaningful story unsuccessful because it failed to produce a sale by Thursday.
Take a hypothetical decline in organic traffic. The first chart looks discouraging. Separate the searches attracting irrelevant visitors from the searches connected to the business you actually want, and the interpretation may change. Fewer visits can coexist with more qualified conversations. That is a reason to investigate the audience and outcomes, not a universal excuse for falling traffic.
Good marketing gives the scientist something worth testing and the storyteller something true to say. The frameworks below are useful when they help those two sides work together.
Business outcomes
Revenue marketing: give the activity a business purpose
Revenue marketing connects marketing decisions and investment to customer acquisition, commercial outcomes, retention, and expansion. The ambition is more repeatable and scalable growth, with a clearer understanding of how marketing contributes. Predictability is an objective, not a guarantee that comes with the terminology.
Clicks and impressions are not automatically vanity metrics. They become vanity metrics when they are presented as success without a useful connection to the objective. Relevant reach may tell you whether the intended audience is encountering your work. A click can reveal interest or confusion. Neither, by itself, explains whether the business is becoming healthier.
I would also resist the claim that anything we cannot trace neatly to pipeline has no value. A referral, a remembered story, a conversation at an event, or months of useful reading may influence a purchase without leaving a complete digital record. Revenue accountability should make us more honest about evidence, including its gaps.
Several approaches that appear on lists of revenue marketing frameworks actually belong to different categories. PLG is a growth approach. The T-shaped marketer is a skills model. Attribution is a measurement method. RM6 addresses organizational maturity. Comparing them as interchangeable systems would be like asking whether a telescope is better than a laboratory notebook. First tell me what you are trying to do.
Define the job
What a marketing framework actually does
A marketing framework is a structure for organizing questions and decisions. A methodology adds a way of working through them. A marketing strategy contains the choices your business makes. A plan assigns the activities, resources, timing, and responsibilities required to act on those choices.
Those distinctions matter because completing a framework does not automatically produce a strategy.
You can fill every box in a positioning worksheet without finding a meaningful reason for customers to choose you. You can document a customer journey without improving a single frustrating interaction. You can purchase a platform that supports sophisticated nurturing before deciding what a useful conversation with a prospect should sound like.
The value appears when the structure changes a decision. Perhaps you stop pursuing an audience that generates inquiries but rarely buys. Perhaps you discover that the website attracts appropriate buyers, but the proposal process loses them. Perhaps you protect a valuable brand investment because the business has finally agreed on how and when to evaluate it.
A useful framework makes those choices easier to explain and harder to avoid.
Recognize the need
When you need a marketing framework
You usually need more structure when the business has become too complicated to run on shared assumptions.
That can happen in a small company with an owner, a salesperson, and two outside vendors. It can also happen in an enterprise with specialized teams that each maintain their own definition of success. Size changes the number of handoffs. It does not eliminate the need for agreement.
The warning signs tend to be familiar:
- Every new campaign begins with another debate about the audience and message.
- The business attracts attention but cannot connect it reliably to appropriate inquiries, opportunities, purchases, or retention.
- Sales and marketing disagree about what makes someone qualified.
- Nobody can explain which part of the customer journey needs attention first.
- Technology purchases keep increasing while manual work and reporting disputes remain.
- Growth depends on one person remembering what happens next.
- Expansion into a new market exposes assumptions that worked only in the original one.
A framework is also useful before a major change: a repositioning, a new service, a CRM migration, an acquisition, or a shift from transactional sales to longer relationships.
There are occasions when a full framework exercise is unnecessary. If a qualified customer submits a form and nobody receives the notification, fix the notification. You do not need a strategic retreat to establish that answering people is generally good for business.
The amount of structure should fit the decision. A small business may need a one-page operating agreement. A multinational organization may need formal governance, shared data definitions, and a staged implementation program. Both need clarity.
Strategic foundations
Six useful frameworks and methodologies, with different jobs to do
STP: deciding whom you will serve and why they should choose you
Segmentation, targeting, and positioning, commonly shortened to STP, addresses three foundational decisions. How does the market divide into meaningfully different groups? Which groups will you prioritize? What position will you occupy in their minds relative to the alternatives?
Its great strength is forcing selectivity. “Business owners” is an audience description, but it is rarely specific enough to guide a strong offer. An independent hotel owner trying to reduce reliance on third-party bookings has different concerns from an investment group evaluating the repositioning of several properties.
Both may operate in hospitality. That does not mean they should receive the same message, evidence, or proposal.
STP works especially well when a business is entering a market, sharpening an indistinct offer, or attracting too many poorly matched inquiries. It helps connect market opportunity with an audience the business can serve credibly and profitably.
Its limitation is that segmentation can become an exercise in labeling people. Age, revenue, job title, and location may help identify an audience without explaining why that audience buys. Positioning can also remain an internal statement that never survives a real customer conversation.
The test is whether the choices change your offer, your proof, your priorities, and the work you decline. If every segment still receives the same campaign, the segmentation has accomplished very little.
The 4Ps and 7Ps: examining the whole offer
The classic marketing mix considers product, price, place, and promotion. The expanded 7Ps adds people, process, and physical evidence. The Chartered Institute of Marketing’s explanation of the 7Ps is a useful reference.
I appreciate this approach because it keeps marketing connected to what customers actually receive. Advertising cannot carry the entire burden of an offer whose pricing, availability, delivery, or credibility creates resistance.
Consider a premium hospitality experience. The photography may be exceptional, but the booking process may be confusing. The room rate may communicate luxury while the confirmation email reads like a utility notice. The promotional promise and the delivered experience are now arguing with each other.
The 7Ps is particularly useful for service businesses, where employees, procedures, and tangible signs of quality influence confidence before a purchase. It helps reveal when the apparent communications problem originates elsewhere in the business.
Its limitation is that it is a diagnostic checklist, not a complete operating sequence. Listing weaknesses across seven categories does not tell you which change deserves the next dollar. You still need customer evidence, economic judgment, and a clear priority.
Jobs to Be Done: understanding the progress behind a purchase
Jobs to Be Done examines the progress someone is trying to make in particular circumstances. It helps move a discussion beyond demographic descriptions and product features.
A buyer looking for a marketing consultant may be trying to understand a disappointing quarter, regain confidence before a board meeting, enter an unfamiliar market, or find someone who can turn conflicting vendor recommendations into a coherent decision. The requested service is only part of the story.
The strength of this approach is the quality of questions it encourages. What changed? Why is the current solution no longer adequate? What makes the buyer hesitate? What would a successful decision allow that person to accomplish?
It is particularly valuable for customer interviews, offer development, positioning, and content that addresses the circumstances surrounding a purchase. A useful article answers the question the buyer is wrestling with, including the concern they may not yet know how to articulate.
Its limitation is that a compelling interview can be mistaken for a market. One person’s explanation is a clue, not proof of widespread demand. Interviews need to be considered alongside observed behavior, commercial viability, and evidence from other customers. Understanding motivation also does not supply a campaign calendar, a sales process, or a reporting system.
SOSTAC: turning analysis into an accountable plan
PR Smith’s SOSTAC organizes planning around Situation, Objectives, Strategy, Tactics, Action, and Control. It asks where you are, where you want to go, how you intend to get there, what you will do, who will do it, and how you will evaluate progress.
Its strength is the connection between thinking and implementation. A channel recommendation has to sit within a strategy. A strategy has to serve an objective. Activities need ownership, and results feed the next round of planning.
This is useful for annual planning, launches, agency briefs, and businesses whose marketing consists of a growing list of disconnected initiatives. It gives a plan a structure that other people can interrogate.
The limitation is not a missing box. It is the temptation to fill every box politely. A team can produce an extensive situation analysis, choose an unconvincing objective, and proceed as though the document has solved the underlying problem.
SOSTAC works best when the strategy section contains actual tradeoffs and the action section names people with enough authority and capacity to deliver. A task assigned to “the team” is often a task assigned to hope.
RACE: connecting discovery, action, conversion, and the ongoing relationship
Developed by Dave Chaffey at Smart Insights, RACE covers Reach, Act, Convert, and Engage, supported by an initial planning stage.
Its strength is helping a business see beyond acquisition. Getting discovered, encouraging a useful interaction, earning a conversion, and building an ongoing relationship each require attention. A company can be excellent at one and weak at another.
RACE is useful when a digital program needs clearer priorities and measurement across the customer lifecycle. For example, a website may earn relevant organic traffic but offer little help to someone comparing options. More traffic would enlarge the audience encountering the same weakness.
The limitation comes when the categories become a literal prediction of buyer behavior. People revisit decisions, involve other stakeholders, disappear for months, and return through a different channel. The framework organizes the business’s work; it should not force every person into a neat procession.
It also requires judgment about what counts as meaningful action. A download is easy to measure. Its importance depends on who downloaded it, why, and what happened afterward.
Account-based marketing: coordinating around the accounts that matter
Account-based marketing, or ABM, concentrates coordinated marketing and sales effort on selected accounts. Salesforce’s explanation of ABM describes the focus on specific valuable accounts and personalized engagement.
Its strength is recognizing that a substantial B2B purchase usually involves more than one person. The operational champion, financial approver, technical evaluator, and executive sponsor may each need different evidence.
ABM is well suited to a defined market with valuable opportunities, complex buying groups, and enough potential return to justify deeper research and coordination. A specialist firm pursuing a limited number of appropriate enterprise customers has a different challenge from a retailer seeking thousands of modest transactions.
The limitation is cost and concentration. Personalization takes work. Bad account selection can direct significant resources toward organizations that were never likely to buy. A target-account list also becomes stale if it is treated as a permanent declaration instead of a working hypothesis.
Putting a prospect’s logo on a landing page is not the hard part. Understanding that organization’s priorities and coordinating a relevant response is.
The RM6 deep dive
Why RM6 deserves a closer look
RM6 belongs to The Pedowitz Group. Its current public description identifies six pillars: Strategy, People, Process, Technology, Customer, and Results. The firm uses the framework to assess revenue marketing maturity and prioritize improvement.
What I admire is its usefulness for diagnosing a familiar problem: a business asks marketing to produce a better outcome without examining whether the surrounding organization can support it.
The six categories are easy to understand. The questions they raise can be uncomfortable. That is a strength. They make room to examine whether a weak result comes from an unclear commercial direction, missing skills, a broken handoff, inadequate systems, poor customer understanding, or misleading measurement.
For me, that is where RM6 strips away the fluff. It works well as a way of framing the problem because it directs attention toward capabilities and dependencies. A more impressive campaign cannot compensate indefinitely for a business that cannot handle the demand it already receives.
The following examples are my practical interpretation of those six areas, not The Pedowitz Group’s assessment questions or scoring methodology.
Strategy: make the commercial choice specific
Suppose a hotel wants more direct bookings. That objective still leaves several questions unanswered. Which guests? For which dates? At what acquisition cost? Is the priority incremental occupancy, stronger margins, longer stays, or reducing dependence on one distribution channel?
Those choices affect the work. A weekday corporate-stay opportunity requires different evidence and outreach from a weekend leisure offer. Marketing can make substantial progress toward the wrong version of “more bookings” if leadership never defines the commercial priority.
I would want a clear statement of the audience, the opportunity, the reason to choose the business, and the economic result that would justify the effort. That gives the remaining decisions something useful to support.
People: establish who can make the work happen
Imagine an organization with a talented writer, a capable platform administrator, and an experienced sales leader. Each may perform well individually while nobody owns the transition from an interested reader to a productive sales conversation.
I would look for missing responsibility before recommending another hire. Who approves the qualification criteria? Who reviews rejected inquiries? Who can change a workflow when it creates a poor experience? Who has time allocated to maintain what has been built?
Incentives deserve the same attention. If marketing is rewarded for inquiry volume and sales is rewarded for closing a narrow category of opportunity, their disagreement may be entirely rational. A shared meeting does not fix conflicting targets.
Process: inspect what happens between the visible activities
Campaigns and sales conversations get attention. The space between them often contains the problem.
A prospect may submit a detailed request that reaches the wrong person. An appropriate inquiry may be marked unqualified because the timing is early. A customer may continue receiving introductory messages after signing an agreement.
I would trace several actual records from initial interaction through their latest outcome. What happened, who owned it, and where did the information stop moving? That exercise can reveal more than asking every department whether its process is working.
Useful procedures explain exceptions as well as the expected route. They account for existing customers, duplicate contacts, unavailable staff, postponed projects, and prospects who need help clarifying their requirements.
Technology: give every system a defined job
A technology discussion should begin with the work that needs support. The fact that a platform can do something does not establish that the business needs it.
Take a company whose main failure is delayed follow-up. The immediate requirement might be dependable routing, an assigned owner, and visibility into unanswered inquiries. Buying advanced journey orchestration before fixing those basics adds capability without removing the constraint.
I would ask where the authoritative customer and opportunity information lives, how updates move between systems, who notices failed synchronization, and which manual tasks deserve automation. The answers help distinguish a configuration problem from a genuine platform limitation.
Customer: investigate the decision the person is trying to make
A record can contain accurate contact details and still reveal very little about the person’s situation.
For example, a facilities executive researching commercial landscaping may be concerned about inconsistent appearance across properties, recurring complaints, or time spent coordinating vendors. A generic sequence describing lawn services may miss the reason the executive started looking.
I would combine conversations, inquiries, sales objections, service feedback, and observed behavior to understand the decision. Content can then answer relevant questions: how responsibilities are defined, what the transition involves, and what evidence supports the provider’s claims.
The relationship also continues after the sale. If customers encounter a difficult onboarding process, marketing should learn from it. Otherwise the business keeps acquiring people into an experience that undermines the original promise.
Results: agree on what would count as improvement
Suppose inquiries fall by 20 percent while appropriate opportunities increase and sales spends less time rejecting unsuitable requests. Calling that a marketing decline would confuse volume with value.
Conversely, a campaign might increase reported pipeline by filling the CRM with opportunities that rarely close. The number looks encouraging until someone examines its quality and age.
I would evaluate results through connected measures: audience relevance, qualified conversations, stage progression, time to respond, win rate, revenue, margin, and retention where applicable. The mix depends on the business and its sales cycle.
Measurement should also distinguish what is known from what is inferred. A campaign associated with an opportunity may have contributed to it. That association alone does not prove the campaign caused the purchase.
The people behind RM6
What The Pedowitz Group does
The Pedowitz Group is a consulting and services firm focused on revenue marketing. Its published service offering spans strategy, marketing operations, revenue operations, demand generation, account-based marketing, marketing technology, creative work, content, and AI-related services.
That breadth is relevant to understanding RM6. The framework sits within an effort to connect organizational capability with implementation, rather than functioning only as a campaign-planning worksheet. The group’s work includes assessing the current situation, identifying priorities, and helping businesses implement and operate the capabilities needed to improve performance.
Its public maturity model describes four stages: Traditional Marketing, Lead Generation, Demand Generation, and Revenue Marketing. I read that progression as a useful prompt to examine the distance between producing activity, generating interest, and understanding business contribution.
My admiration here is for the system and the thinking behind it. This is an independent perspective, not a claim of partnership, certification, or involvement in The Pedowitz Group’s work. For its formal RM6 assessment and methodology, go directly to the group.
Choose proportionately
Where RM6 is most useful, and where judgment still matters
I would give RM6 serious consideration when a business has several interdependent marketing problems and needs to decide what to fix first. It is especially relevant to organizations with meaningful sales cycles, multiple teams, and technology that has become more capable than the operating practices around it.
The limitation of a broad maturity framework is that it can become another large program if nobody translates the diagnosis into a manageable sequence. Six pillars should not automatically become six simultaneous transformation projects.
A small firm may benefit from examining all six areas and then making three modest changes: defining an appropriate inquiry, assigning follow-up ownership, and recording outcomes consistently. That is a legitimate improvement even without a large implementation budget.
There is also a risk in interpreting revenue accountability too narrowly. A business still needs reputation, distinctive positioning, useful education, and relationships with people who are not ready to buy today. Long-term value does not disappear because it is harder to assign to a single campaign.
I would apply the model with two guardrails. First, use maturity findings to prioritize observable changes, not to pursue a score for its own sake. Second, match measurement to the purpose and time horizon of the work. A quarterly pipeline report cannot fully evaluate every investment a brand should make.
After the sale
Growth continues after the contract: Bowtie, AARRR, and the Flywheel
The Bowtie model makes the second half of the relationship visible
Winning by Design’s Bowtie extends the view from acquisition into onboarding, retention, and expansion. The point where someone becomes a customer connects the two sides. It belongs within the firm’s broader Revenue Architecture approach.
This is particularly useful for subscriptions, software, memberships, and ongoing services, where the initial sale tells only part of the economic story. A company can sell enthusiastically and lose customers quietly. A conventional acquisition report may keep applauding while the recurring revenue base deteriorates.
I like the Bowtie because it prompts a practical question: what must the customer experience after buying for this relationship to remain worth paying for? For a software company, that may involve implementing the product and achieving a useful result. For an advisory retainer, it may involve better decisions, dependable execution, and evidence that the relationship continues to help.
Its limitation is that a larger diagram cannot establish customer value for you. Renewals may reflect inertia, and expansion may mask losses elsewhere. Review gross revenue retention alongside net revenue retention so growth in a few accounts does not conceal widespread dissatisfaction. Customer lifetime value also depends on assumptions about retention, margin, and future behavior; it is an estimate to examine, not a number to admire.
AARRR gives you five places to investigate
Dave McClure’s Pirate Metrics covers Acquisition, Activation, Retention, Referral, and Revenue. It is memorable, compact, and particularly useful for startups and product-led businesses trying to locate a constraint.
The interesting part is defining each term in the context of the product. Signing up does not necessarily mean activation. If someone joins a scheduling platform but never books an appointment, the business has collected a user record without establishing the promised value.
I would compare cohorts of users acquired during similar periods and through different sources. Did they reach a meaningful first result? Did they return? Did they become paying customers? Did the behavior persist after an introductory offer ended? Those questions are more useful than combining everyone into one reassuring average.
AARRR’s weakness is that it can make a complicated business appear to have a universal sequence. Some people pay before activation. Some refer before becoming customers. Enterprise adoption may involve a team rather than one user. Use the categories to inspect behavior without forcing the business into a cartoon version of itself.
HubSpot’s Flywheel asks what creates momentum and what slows it down
HubSpot’s Flywheel puts customers at the center of Attract, Engage, and Delight. Its value is drawing attention to the way customer experience can support future growth through continued business and recommendations.
A customer who has to repeat the same information to marketing, sales, and support experiences your organization as a series of disconnected departments. Removing that burden may do more for the relationship than another clever email subject line.
The Flywheel is a good leadership and customer-experience model when service quality, referrals, and ongoing relationships are important. It gives different teams a reason to examine the cumulative experience instead of optimizing their own isolated interaction.
Its limitation is measurement. “Create delight” needs to become observable work: clearer onboarding, faster resolution, fewer avoidable handoffs, better adoption, or more qualified referrals. A circular illustration can express a useful idea, but it cannot forecast how much momentum the business will gain.
Operational clarity
Funnel definitions and operational handoffs: the Waterfall and L2R
The Revenue Waterfall has evolved beyond counting individual leads
Earlier SiriusDecisions Demand Waterfall models helped teams standardize lead stages such as inquiry, marketing-qualified lead, and sales-accepted lead. That historical contribution matters, especially in organizations where departments still count different things under the same label.
However, the Forrester B2B Revenue Waterfall extends the approach to buying groups and both new and existing customer opportunities. Describing the current model as an anonymous-visitor-to-MQL pipeline would miss that development.
The strength of waterfall thinking is operational precision. You can examine conversion, elapsed time, and stalled opportunities using agreed stages. In a buying-group approach, several people researching the same purchase can be understood as part of one commercial opportunity rather than celebrated as unrelated leads.
The risk is treating a status field as reality. Sales accepting a lead does not necessarily establish an opportunity. An opportunity being created does not prove that a serious evaluation exists. Stage criteria need evidence, and progress should reflect the customer’s situation as well as your internal activity.
This approach is especially useful for complex B2B organizations with contested pipeline numbers, multiple stakeholders, and meaningful handoffs. It takes disciplined data practices to maintain; a smaller business should keep only the stages it can define and use consistently.
Lead-to-Revenue connects the rules to the actual work
Lead-to-Revenue, often abbreviated L2R, is a broad lifecycle and operating concept rather than one universally standardized proprietary framework. It connects initial interest, qualification, sales handling, opportunity progression, and revenue outcomes.
Its strength is making the transitions explicit. A service-level agreement, or SLA, should say what triggers action, who owns it, what response is expected, and what happens if the owner cannot act. It should also explain recycling, rejection, and later follow-up.
For example, a proposal request from an appropriate account should not sit in the same queue as a student downloading an industry guide. Nor should that student be treated rudely because the inquiry has no immediate sales value. A sound process routes each situation appropriately.
L2R is useful when a CRM and an automation platform exchange data but the people using them remain disconnected. Its limitation is the possibility of bureaucratic precision: twelve statuses, eight required fields, and nobody available to answer the customer. Keep the process proportional to the decision it supports.
The buying group
Account-based revenue and ABX: coordinate around the buying group
ABM, account-based revenue, and account-based experience are related ideas with different emphasis. ABM organizes marketing around selected accounts. Account-based revenue generally broadens the responsibility across revenue-facing teams. ABX, as described by Demandbase, emphasizes the experience of the account across interactions and stages.
An ideal customer profile, or ICP, helps identify organizations likely to be a good fit. It is not the same thing as a buyer persona, which describes a person or role. A target-account list translates those criteria into specific organizations worth pursuing.
Tiering helps determine how much attention each account justifies. A small number may merit deeply researched, individual programs. A larger group may be served through relevant industry or challenge-based work. The economics should support the effort.
Consider a consultancy pursuing a hotel ownership group. The operations leader, finance team, property managers, and ownership may share a business problem but evaluate the proposed solution differently. Coordinated communication should help them make a decision together. It should not mean four departments sending four campaigns to the same organization.
These approaches work best when account value and buying complexity justify coordination. Their limitations include costly research, weak identity matching, and the temptation to mistake intent signals for an invitation. Someone researching a subject is not automatically asking to be pursued. Track account progression, relevant stakeholder involvement, opportunity quality, and retention rather than congratulating yourself for reaching a long list of names.
Value inside the product
Product-led growth: let the product demonstrate the promise
Product-led growth, or PLG, uses the product experience as a major driver of acquisition, adoption, retention, and expansion. Trials and freemium offers are common mechanisms, but giving something away does not, by itself, create a product-led business.
Its great advantage is letting people experience value instead of asking them to imagine it from a presentation. A useful first experience can answer questions that no amount of promotional copy will settle as convincingly.
A product-qualified lead, or PQL, uses product behavior and appropriate fit to identify a promising next step. ProductLed’s explanation of PQLs is useful here. A PQL can complement MQLs in a hybrid business; it does not have to replace every other qualification method.
For a collaborative reporting product, a meaningful signal might involve connecting a real data source, building a usable report, and sharing it with a colleague. Logging in repeatedly is less informative if the person cannot accomplish anything. The actual qualification rule should be validated against conversion and sustained customer value.
Time-to-value, or TTV, asks how long it takes someone to reach a meaningful benefit. Define both the starting point and the value event before comparing results. Shortening onboarding by removing necessary setup may improve one metric while leaving users less prepared to succeed.
PLG works best when customers can reach value through a manageable self-service experience. It becomes harder when implementation, security review, procurement, or organizational change must happen first. Sales assistance may remain essential.
Lower acquisition costs are possible, not automatic. Free users consume infrastructure and support. Product development and lifecycle work cost money. Evaluate paid conversion, retention, expansion, cost to serve, and acquisition economics together. A large free-user population can be evidence of demand or an expensive audience with no reason to pay.
Recurring economics
Revenue Architecture: make the growth assumptions visible
Winning by Design’s Revenue Architecture connects revenue, data, mathematical, operating, growth, and go-to-market models. The Bowtie sits within this broader system. Its appeal is a shared way for marketing, sales, and customer success to describe how the business acquires, serves, retains, and grows accounts.
This is particularly useful in recurring-revenue businesses, where improvements and losses compound. A company can make acquisition more efficient and still struggle if customers fail to adopt the product or reduce their commitments at renewal.
The emphasis on customer impact matters. Before a sale, clarify the result the customer needs. Afterward, investigate whether that result is being achieved. A relationship built around demonstrated usefulness has a stronger foundation than one sustained by periodic requests to schedule a check-in.
I like making the assumptions inspectable. What happens if activation improves while acquisition stays constant? What if average contract value rises but retention falls? What if a promising segment takes twice as long to implement? Models give those questions structure and reveal which assumptions deserve research.
Their limitation is false precision. A spreadsheet can calculate a growth trajectory from assumptions that have never survived contact with a customer. Shared definitions and sensitivity analysis are useful; certainty manufactured from a complex equation is not. Customer impact can support renewals and expansion, but budgets, alternatives, and organizational changes still affect the decision.
Organizational capability
RevOps and the T-shaped marketer: the people behind the system
Four useful RevOps lenses: people, process, data, and technology
Revenue operations, or RevOps, coordinates the operating foundations that marketing, sales, and customer-facing teams share. A common four-part treatment examines people, process, data, and technology. Different practitioners organize the categories differently, so I would not treat one list as an industry standard.
Revenue marketing and RevOps overlap, but one does not inevitably turn into the other. Revenue marketing concerns marketing’s contribution to commercial outcomes. RevOps helps establish the shared responsibilities, information, systems, and procedures that make cross-functional execution possible.
Its value becomes obvious when the same customer has three conflicting statuses in three platforms. Someone must own the definition, the authoritative record, the correction process, and the consequences for communication. That is operational work with a direct effect on customer experience.
RevOps is most useful when organizational complexity has outgrown informal coordination. Its danger is becoming a reporting department that serves internal requests while losing sight of customers. Review whether the work improves decisions, reduces avoidable effort, and helps customers move forward. Producing more dashboards is not a sufficient outcome.
The T-shaped marketer connects breadth with depth
The T-shaped marketer is a skills model. The horizontal bar represents working knowledge across disciplines. The vertical stem represents deeper expertise in a particular area. It offers a useful way to plan development and hiring without assuming everyone should master everything.
A strong technical SEO specialist benefits from understanding positioning, conversion, analytics, and writing. A CRM specialist should understand the sales conversation their workflows support. A strategist needs enough technical literacy to distinguish a real implementation constraint from a habit nobody has questioned.
The advantage is collaboration. People can recognize how their work affects the next person and know when specialist judgment is needed. It fits naturally into the People dimension of an RM6-style discussion.
Its limitation appears in job descriptions seeking an expert in strategy, paid media, design, analytics, development, copywriting, CRM, and video, preferably at an entry-level salary. Breadth is awareness and competence sufficient to collaborate. It is not eight full-time specialties hiding inside one employee.
Use the model to map coverage and development needs. Judge depth through work, reasoning, and outcomes. A colorful skills chart should help a team become more capable, not create another way to overstate proficiency.
Evidence and its limits
Attribution: useful accounting rules, imperfect evidence of influence
Revenue attribution assigns credit to recorded interactions according to a model. It helps examine how channels and content appear along the path to commercial outcomes. It does not recover every unobserved interaction, and assigning credit is different from proving causation.
Dreamdata’s guide to revenue attribution describes common position-based models. The following weights are conventions; platform implementations and conversion definitions can differ.
| Model | Common allocation | Useful for | Main blind spot |
|---|---|---|---|
| U-shaped | 40% first touch, 40% lead creation or conversion, 20% shared among other eligible touches | Comparing recorded discovery and lead-capture contributions | Limited recognition of later sales-stage work |
| W-shaped | 30% first touch, 30% lead creation, 30% opportunity creation, 10% across other eligible touches | Adding opportunity formation to the analysis | Heavy dependence on reliable stage and contact-to-opportunity data |
| Full-path | A common version gives 22.5% each to first touch, lead creation, opportunity creation, and close; 10% to remaining eligible touches | Examining activity through the closed deal | Still a rule-based allocation of observed activity |
Lead creation is not automatically MQL creation. Sales acceptance is not automatically opportunity creation. Document the events your model actually uses.
Full-path also does not automatically mean renewal and expansion attribution. Those outcomes need appropriate opportunity records, time windows, associations, and model support. The name does not supply the missing data.
Imagine a hypothetical $100,000 closed deal. Under the W-shaped convention, three milestone interactions receive $30,000 each and the other eligible interactions share $10,000. That does not establish that each milestone generated exactly $30,000 of incremental value. It establishes how the model divides credit.
I would use attribution to ask better questions. If one useful guide repeatedly appears in serious evaluations, investigate its role. If a channel receives little measured credit but frequently appears in customer interviews, investigate the tracking gap before cutting it. Compare views, include customer-reported discovery, and use controlled tests where feasible.
Return on ad spend can help evaluate attributable advertising revenue, but it leaves out costs and contributions outside the ad platform. Customer acquisition cost, margin, payback, retention, and incremental lift answer different questions. A single tidy ratio should not be asked to run the company.
Test and learn
Experimentation and channel choice: G.R.O.W.S. and Bullseye
G.R.O.W.S. gives experimentation a memory
Growth Tribe’s G.R.O.W.S. process is commonly expressed as Gather ideas, Rank ideas, Outline experiments, Work, and Study the results. The important behavior is a repeatable cycle of hypotheses, action, and learning.
Gathering should include customer conversations, analytics, search queries, sales objections, and support issues. Ranking approaches such as ICE, which considers impact, confidence, and ease, or BRASS can help compare ideas. The scores are judgment aids, not objective facts generated by adding columns.
Before running a test, define the audience, proposed change, expected mechanism, primary outcome, guardrails, and decision rule. If the hypothesis is that clearer scope improves inquiry quality, measure quality and downstream handling instead of declaring victory because more people clicked a button.
I would also record what the team learned when an idea fails. Otherwise a new employee will enthusiastically propose the same experiment six months later, and everyone will have a faint memory that it sounded familiar.
This approach suits teams with recurring decisions and enough evidence to learn from testing. Its limitation is mistaking speed for validity. A two-week test is not automatically long enough. Low traffic, small samples, seasonality, overlapping experiments, and delayed sales outcomes can make quick conclusions unreliable. More tests per month can mean more learning or more noise.
Scale a promising result when the evidence and economics justify it. A favorable early result is a reason to examine the next step, not an instruction to convert everything into a ninety-day playbook immediately.
Bullseye challenges your favorite channel
The Bullseye approach in Traction, by Gabriel Weinberg and Justin Mares, begins broadly, tests promising channels, and concentrates on the strongest opportunity. The book discusses nineteen traction channels, which provides a useful antidote to choosing whichever platform the team already knows.
Its outer ring represents possibilities. The middle ring contains credible candidates for testing. The center is the channel with evidence strong enough to justify concentrated effort at the business’s current stage.
For a specialist consultancy, that might mean testing a focused educational event, a referral partnership, and a search campaign instead of reflexively increasing social posting. The evaluation should include customer quality, acquisition cost, sales effort, time to return, and the realistic size of the opportunity.
Bullseye is especially useful when resources are limited and channel selection is driven by habit. Its limitation is premature concentration. A cheap early test may be unrepresentative, and a channel that works at a small budget may become less efficient as spend increases.
I would not interpret focus as a command to place every marketing dollar into one channel or abandon the website, brand, retention, and relationships that help that channel convert. Concentrate effort where the evidence supports it while watching dependency and saturation.
Interest and intent
Demand generation and lead generation are connected decisions
Demand generation builds awareness, understanding, interest, and preference. Lead generation identifies people or organizations that may become customers and creates a way to continue the conversation. A business can need both.
Gating is a separate decision. A useful consultation request is a form and a strong signal of interest. An ungated article may create demand but produce no immediate identifiable contact. Neither format tells you the quality of the strategy by itself.
My preference is to make substantial expertise easy to access when the reader needs it. If someone is trying to decide whether I understand their problem, forcing them to surrender contact details before I answer a basic question adds little value. A form becomes more reasonable when there is a useful exchange: a tailored assessment, a scheduled discussion, or something that genuinely requires context.
The limitation of aggressive lead generation is confusing contact collection with readiness. The limitation of loosely managed demand generation is claiming every unmeasured activity builds the brand. Both deserve evidence appropriate to the work.
For a complex service, I would examine the quality of conversations, the questions prospects arrive with, progression through evaluation, win rate, and commercial value. Compare similar segments and time periods. I would not promise that ungated content makes deals close a fixed percentage faster. Buying circumstances, deal complexity, and the offer all matter.
The PaperBoat approach
My S.A.I.L. Process: curiosity needs somewhere to go
My own S.A.I.L. Process has four stages: Steer, Adjust, Innovate, and Launch. It comes from the way I approach a business problem: listen closely, ask useful questions, understand the outcome, and work backward to a plan that can be put into practice.
The combination behind it is hard work, curiosity, and creativity. I want to understand how the business operates and how the people involved make decisions. The first request may be a new website, better rankings, or more leads. The conversation needs to establish what those things are supposed to accomplish and what is getting in the way.
That is where the scientist and the writer are both useful. I want the evidence, including evidence that complicates the original explanation. I also want to find a way of expressing the business’s value that feels specific, human, and worth paying attention to. Listening closely helps with both.
S.A.I.L. gives that work a practical structure. A strategy should eventually become decisions, responsibilities, and things a customer can experience. Depending on the challenge, that might involve clearer positioning, a better page, a more useful piece of content, a repaired follow-up process, or a combination of changes.
I can admire another framework without pretending it is mine. RM6 belongs to The Pedowitz Group. S.A.I.L. is my process. The connection is an appreciation for understanding the problem before prescribing the activity. STP, customer research, lifecycle analysis, or an examination of CRM data can inform the work where they are useful; they do not need to become competing programs.
S.A.I.L. is particularly relevant when an owner or leadership team needs help moving from an unclear challenge toward a coordinated response. Its usefulness still depends on honest information, sensible priorities, and the ability to execute. Four memorable words cannot compensate for a business that will not examine its assumptions or act on what it learns.
That is how I want a process to earn its place: it should help us listen better, think more clearly, and do something useful with what we discover.
Make the pieces work
How these approaches fit together
You do not need to choose one framework and swear allegiance to it. You do need to avoid building a separate planning bureaucracy around each one.
One sensible combination would use STP to select an audience, Jobs to Be Done to understand its buying circumstances, and the 7Ps to inspect the offer. SOSTAC could organize the plan, while RACE helps structure lifecycle activity. RM6 could provide a broader view of whether the people, processes, systems, and measurement can support the intended result.
ABM belongs in that arrangement only if the market and deal economics justify account-specific attention. It is not an obligatory badge of sophistication.
The test for combining frameworks is straightforward: does each addition resolve a different decision? If two approaches produce essentially the same conversation and documentation, simplify.
Choose your starting point
Which framework fits the problem in front of you?
| What is happening | Start by examining | Evidence worth watching |
|---|---|---|
| The audience is broad and the offer sounds interchangeable | STP, Jobs to Be Done, and the 7Ps | Fit, objections, preference, margin, and qualified conversion |
| The business needs to turn an unclear challenge into coordinated action | S.A.I.L. | Clarity of the objective, quality of the decisions, execution, and outcomes |
| The plan contains many activities but few choices | SOSTAC | Ownership, priority, completion, and business outcomes |
| Traffic arrives but useful action is weak | RACE | Relevant reach, meaningful actions, qualified conversion, and return engagement |
| New customers arrive and leave too quickly | Bowtie and the Flywheel | Adoption, time-to-value, gross retention, net retention, and referral quality |
| Signups grow but the product does not become a habit | AARRR and PLG | Activation and retention by cohort, paid conversion, and cost to serve |
| Sales and marketing report different versions of the pipeline | Revenue Waterfall, L2R, and RevOps | Stage definitions, response time, acceptance reasons, progression, and record quality |
| A small set of valuable accounts deserves coordinated attention | ABM, ABR, and ABX | Buying-group coverage, appropriate engagement, opportunity progress, and expansion |
| Recurring revenue plans rest on unclear assumptions | Revenue Architecture | Conversion, cycle times, retention, expansion, and sensitivity to assumptions |
| Teams cannot see which capabilities are holding them back | RM6 and a practical skills review | Observable capability gaps, implementation priorities, and outcome changes |
| Reporting gives inconsistent credit to marketing | Attribution models with incrementality checks | Model sensitivity, data coverage, margin, and incremental outcomes |
| Campaign ideas repeat without accumulated learning | G.R.O.W.S. | Sound experiments, documented learning, sustained lift, and guardrail outcomes |
| Channel budgets follow habit | Bullseye | Acquisition economics, customer quality, capacity, and saturation |
From decisions to systems
How marketing frameworks work with CRM and automation platforms
A framework becomes operational when its decisions appear in the systems people use every day.
CRM software helps manage relationships, records, ownership, and commercial activity. Marketing automation supports repeatable actions such as segmentation, communication, scoring, routing, and follow-up. Product suites overlap, and the exact capabilities depend on the products and editions a business has purchased.
The framework supplies the reasoning behind the configuration. It helps determine who belongs in an audience, what qualifies someone for a next step, which communication would help, when a human should intervene, and how the outcome will be recorded.
| Strategic or operating decision | What it becomes in the system |
|---|---|
| Prioritize a defined customer segment | Consistent account and contact fields, selection rules, and audience exclusions |
| Recognize meaningful buying intent | Explicit qualification criteria using appropriate fit and behavior signals |
| Give sales a clear handoff | Ownership rules, context, tasks, response expectations, and acceptance or rejection reasons |
| Support a buyer’s next decision | Relevant content and branching based on known needs and actions |
| Treat customers differently from prospects | Status updates, acquisition-message suppression, and appropriate onboarding or service communications |
| Evaluate business contribution | Connected campaign, account, opportunity, and outcome data with agreed reporting definitions |
There is no universal “install RM6” button that creates this agreement. The decisions must be translated into configuration, tested, and maintained.
HubSpot
HubSpot’s lifecycle stages and workflow capabilities can support defined transitions, record updates, and follow-up actions. The business still needs to decide what those transitions mean.
For example, a content download could establish interest without making someone sales-ready. A direct request for a discussion may warrant immediate attention even when that person has little prior recorded engagement. The framework should help distinguish those situations before a workflow treats them as equivalent.
Adobe Marketo Engage
Adobe Marketo Engage supports marketing automation and buyer engagement. A framework can guide the audiences, program logic, nurture content, qualification criteria, and sales coordination that the platform executes.
The practical challenge is consistency across programs. If each campaign defines qualification differently, more sophisticated automation can make the inconsistency harder to trace. Shared definitions should precede an expanding library of automated programs.
Salesforce
Salesforce is a family of products, so a discussion should distinguish CRM responsibilities from the marketing automation products connected to them. Salesforce’s Sales Cloud material describes the use of account information in ABM, while Account Engagement supports B2B marketing automation.
A useful implementation connects marketing activity with the account, the relevant people, and the commercial opportunity. It also gives sales a practical way to report what happened. A technically successful integration has limited value if users cannot explain why an inquiry was accepted, rejected, postponed, or won.
Oracle Eloqua
Oracle Eloqua’s lead-scoring documentation explicitly calls for marketing and sales to define criteria together. Its separation of profile and engagement is a useful example of why fit and activity deserve different consideration.
A highly active person may be a poor commercial fit. An appropriate decision-maker may have a limited digital trail. Framework-led scoring asks which evidence matters to this business and checks that judgment against subsequent outcomes, rather than assuming a busy contact is a good opportunity.
The wider Adobe environment
Marketo is already an Adobe product. If someone says “Adobe” as a separate platform option, the next question is which product and responsibility they mean. Adobe’s broader offering includes Journey Optimizer B2B Edition and related B2B capabilities, including support for buying-group journeys.
The implementation question remains practical: which system owns each piece of data, which system initiates each action, and how do teams prevent conflicting communications? A larger product ecosystem increases the importance of clear responsibilities.
The less glamorous essentials
The integration work that deserves more attention
Connecting platforms requires more than getting records to move between them. A useful design specifies field ownership, unique identifiers, account relationships, permitted stage transitions, synchronization timing, and what happens when a transfer fails.
Consent and communication preferences also need to remain consistent across the systems that act on them. Someone opting out should not be reintroduced to the same marketing stream through another list. An existing customer should not receive an introductory sales sequence because one platform has not received an updated status.
Scoring needs review, too. The weights assigned to behavior are hypotheses. If the contacts scoring highest rarely become appropriate opportunities, the model needs investigation. Raising the threshold may hide the symptom without correcting the logic.
Reporting requires equally clear agreements. Define sourced pipeline and influenced pipeline separately. Decide how opportunities connect to campaigns and how duplicate associations are handled. Do not add the full value of the same opportunity across several campaigns and present the total as new revenue.
Attribution helps describe recorded relationships. Establishing incremental impact requires additional reasoning and, where feasible, experiments or credible comparisons. A dashboard can be internally consistent and still encourage an incorrect conclusion.
This is why marketing automation and workflow design needs a business perspective as well as technical competence. The system should support a sensible customer experience and a workable operating process.
A practical application
A practical example: improving a professional services inquiry process
Consider a hypothetical specialist consulting firm in the professional services market. It publishes strong educational content and receives regular inquiries, but too few become worthwhile engagements. Leadership’s first thought is to buy more traffic.
An initial review discovers three different problems. Some inquiries concern services the firm does not offer. Appropriate prospects receive generic follow-up. Sales records outcomes inconsistently, making it difficult to distinguish poor fit from poor handling.
STP would help clarify whom the firm wants to serve. Jobs to Be Done could improve understanding of what prompts those buyers to seek help. The 7Ps might reveal that the proposal process introduces unnecessary uncertainty. RM6 provides a way to examine the capabilities surrounding the whole situation.
The resulting changes could be modest but connected. The website explains scope more clearly. The inquiry form gathers enough context to route the request without demanding a fully formed brief. A suitable inquiry receives an accountable owner and relevant background. A request outside the firm’s scope receives an honest response. Open opportunities stop receiving generic introductory messages.
The CRM records consistent outcome reasons. Marketing and sales review a sample of accepted and rejected inquiries together. An automation failure creates an exception someone can see and resolve.
Success would be judged through the quality and handling of opportunities, conversion, commercial value, and the experience of the people making contact. Inquiry volume might rise or fall. Either result requires interpretation.
This is an illustration of how the approaches can work together, not a client case study or a forecast. Its purpose is to show why the first useful change may occur well before the next campaign launches.
Start with a real constraint
How to start without turning the framework into another project
Choose one business outcome and one visible constraint. Establish what is happening now using real inquiries, actual sales records, customer conversations, and the work people perform. A framework will be more useful with imperfect evidence than with polished assumptions.
Then agree on the smallest meaningful change. Assign an owner who can implement it. Define how the team will recognize improvement and when there will be enough evidence to review it. Test ordinary cases and exceptions before expanding automation.
For a long sales cycle, an early review might evaluate response time, qualification consistency, or progression into substantive discussions. Revenue evidence may require longer. Choose the review period to fit the behavior being measured.
Keep the documentation useful to the people doing the work. If maintaining the framework begins to consume more attention than improving the customer experience, reduce it.
Direct answers
Framework questions worth answering directly
What is the best revenue marketing framework?
The best choice depends on the constraint. RM6 helps assess organizational capability. Bowtie and Revenue Architecture are useful for recurring customer relationships. RACE organizes digital activity. ABX supports coordinated account experiences. A business may combine them, provided each resolves a different decision.
Does a small business need an enterprise framework?
A small business can use the questions without adopting enterprise complexity. Clear audience choices, assigned follow-up, dependable records, and a sensible review process may be enough. Add structure when it improves decisions or removes recurring problems.
Can RM6 work with HubSpot, Marketo, Salesforce, Eloqua, or Adobe?
RM6 can inform the business requirements those products support. The framework itself is not a software connector. Implementation translates agreed audiences, responsibilities, lifecycle criteria, and measurement into the products and editions the business uses.
Does revenue marketing make creative storytelling less important?
Good storytelling gives research and expertise a form people can understand and remember. Revenue discipline helps evaluate whether that communication reaches appropriate people and supports useful decisions. Creativity remains essential, while evidence helps refine where and how it is used.
Does full-path attribution measure customer lifetime value?
Not by default. Many full-path implementations assign credit through the initial closed deal. Measuring renewals, expansion, and lifetime economics requires the relevant records, definitions, and model configuration. Attribution credit and customer lifetime value are different measures.
Can a framework improve SEO and AI search visibility?
It can improve the decisions behind content: whom it serves, which questions it answers, how it demonstrates expertise, and what useful action follows. Clear definitions, descriptive headings, crawlable text, and relevant sources help make that content understandable. No framework or schema guarantees rankings or inclusion in AI-generated answers.
Talk it through
Better frameworks should make the next decision clearer
I admire RM6 because it creates space for the questions that easily get lost between strategy presentations, campaign production, and software configuration. The other approaches discussed here also have real value when they are matched to the right problem.
The goal is a business that understands whom it serves, makes a credible promise, follows through consistently, and learns from the results. A framework earns its place by helping that happen.
If your marketing feels busy but the underlying problem is difficult to name, you do not need to arrive with a diagnosis or know which framework to request. Tell me what is happening in your business, what feels harder than it should, and what you would like to improve. We can work out where the real constraint sits and what deserves attention first.
Back to the beginning
