Marketing Insights
You've just been hired as the first marketing leader at a B2B SaaS company. Twelve employees. A product that works. A handful of paying customers. And a budget that wouldn't cover a single brand campaign at your old company.
You've just been hired as the first marketing leader at a B2B SaaS company. Twelve employees. A product that works. A handful of paying customers. And a budget that wouldn't cover a single brand campaign at your old company.
Everything you learned in your career (brand architecture, demand gen playbooks, team structures, agency management) assumes resources you don't have. You're not doing smaller marketing. You're doing structurally different marketing. And nobody taught you how.
When I studied 13 marketing leaders in exactly this situation, I found something unexpected. The ones who built real, durable marketing capability didn't follow a scaled-down version of enterprise marketing. They operated with a fundamentally different logic. One that starts with what you have rather than what you need. One that builds capability through resource recombination rather than strategic planning. Many of them got stuck in a state I've termed "persistent proto-routines": processes that work but never fully crystallise, requiring founder-level attention every single time. Understanding why they get stuck there, and how some break through, is what this framework is about.
That framework is Effectual Orchestration.
Key Concepts Introduced in This Article
Effectual Orchestration (EO): A framework for building marketing capability under resource constraint. Integrates effectuation theory (means-driven decision logic), resource orchestration theory (structuring, bundling, and leveraging resources), and micro-foundations research (individual-level cognitive and social mechanisms). Describes four phases: Means Audit, Structuring, Bundling, and Leveraging.
Means Audit: The first phase of EO. Rather than starting with goals and identifying resource gaps, constrained leaders inventory what they already have — their skills, knowledge, and network — and build from there.
Bundling: The third phase of EO. Combining heterogeneous resources into configurations that create more value than the sum of their parts. Operates through four network-mediated mechanisms: information brokerage, direct resource access, collective sensemaking, and credibility borrowing.
Persistent Proto-Routine: An empirical pattern identified in this research. A marketing capability stuck in an intermediate state — reproducible and partially standardised, but never fully crystallising into a scalable routine. Works, but requires founder-level attention every time. Identified in 16% of routine-coded passages.
AI Co-Constitution: The finding that generative AI tools function as constitutive elements of marketing capability, not merely as productivity enhancers. Remove the AI component, and the routine breaks. Observed in 6 of 13 participants.
"Do more with less" implies the task is the same, just smaller. But cooking with a full pantry and cooking with three ingredients aren't the same skill at different scales. They require different techniques, different thinking about what's possible, and a different relationship with improvisation. A chef who's brilliant with a fully stocked kitchen might be completely lost with just eggs, butter, and flour. Not because they lack talent, but because the problem structure is different.
Marketing under constraint works the same way. When your entire quarterly budget is less than what your last company spent on a single event, you're not choosing between a big campaign and a small campaign. You're choosing between fundamentally different ways of creating value.
Across the 13 interviews, four patterns emerged repeatedly. Not as theory, but as observable behaviour. Leaders were doing these things whether or not they had a name for them.
The instinct in marketing strategy is to start with the goal: "We need to generate X pipeline by Q3." Then work backwards: "What channels, campaigns, and team do we need to get there?" This is causal logic, and it works when you have the resources to fill whatever gaps the analysis reveals.
Under constraint, it's useless. The analysis will always reveal gaps you can't fill. The strategy becomes a document that describes what you'd do if you were a different company.
Effective constrained leaders start somewhere else entirely. They take stock of what they actually have. Not just budget. But who they are: their skills, their experience, the way they see things. What they know: their domain expertise, their technical ability, how well they understand customer pain. And who they know: their network, the relationships they can activate, the credibility they can borrow.
One startup-native leader in the research couldn't afford an agency to rebuild the company's website, a project that would typically cost €20,000+. Instead, they taught themselves Webflow in their personal time, driven by a genuine curiosity about tooling. When the company later launched a new product and needed a landing page, the leader already had a template ready. The means audit here wasn't a spreadsheet exercise. It was the recognition that personal curiosity had quietly produced a deployable skill.
Most practitioners do some version of this instinctively. But there's a difference between implicitly knowing your constraints and explicitly mapping your means. Making the means audit explicit changes what you build, because it forces you to see resources you'd otherwise overlook. Your advisory relationship with an industry veteran isn't just a nice-to-have. It's a distribution channel. Your co-founder's engineering skill isn't just "the product team." It's the raw material for a content programme built on technical depth.
Once you know what you have, the question isn't "what's our marketing strategy?" It's "given these specific means, what can we build?"
This is a subtler shift than it appears. Traditional strategy asks: "We need a demand generation programme. What do we need to build one?" Structuring asks: "Given that I know SEO deeply, have a developer who can build tools, and have relationships with three industry analysts, what can we build in six weeks that generates pipeline?"
The first question starts with the goal and searches for means. The second starts with means and searches for possibilities. Under constraint, the second question is the one you can actually answer.
Structuring is where constraint awareness becomes creative. You're not just acknowledging limitations. You're using them as design parameters. The budget cap isn't a problem to solve; it's a boundary condition that shapes what you explore. In the research, constraint recognition consistently preceded opportunity formulation, not the other way around. Leaders didn't identify opportunities and then check whether constraints allowed them. They started from constraints and found opportunities within them.
This is where the real value creation happens, and where most leaders under-invest. Bundling looks less "strategic" than a plan. That's part of why it gets ignored.
Bundling is the act of combining heterogeneous resources into configurations that create more value than the sum of their parts. A network partnership that gives you access to an audience you couldn't reach alone. A tool integration that turns a manual process into a scalable one. A customer co-creation arrangement where your best client helps you build the case study that sells to the next ten clients.
Consider what one bootstrap solo founder did when they needed promotional videos but had no production budget. They wrote the scripts themselves, bought a subscription to an AI voice-over platform, and hired four freelance video editors, giving each one script, to see who produced the best result. Total cost: roughly €100 per video, against an industry norm of €5,000–10,000 for equivalent production. The quality wasn't perfect. But the capability was real: repeatable video production built from the combination of founder writing skill, AI voice generation, and freelancer arbitrage. No single component would have worked alone. The value emerged from the bundle.
The full anatomy of how network ties produce marketing capability is explored in Network-Mediated Capability Building. In the research data, when interview transcripts were analytically coded for network-related activity, network-mediated bundling accounted for 63 coded passages across all 13 participants, operating through four distinct mechanisms. Information brokerage, discovering tools, methods, and approaches through network ties that bridge disconnected professional communities, was the most frequent, accounting for 36% of network bundling activity. Direct resource access, incorporating external actors' capabilities into your marketing system through contractors, agencies, and freelancers, accounted for 32%. Collective sensemaking, refining your understanding of what to build through discussions with peers, advisors, and mentors, accounted for 20%. And credibility borrowing, using established reputations to amplify your own marketing output, accounted for 19%.
What makes bundling powerful is its non-linearity. A means audit might reveal modest individual resources. But bundled together, your SEO knowledge plus a developer relationship plus an analyst connection, they produce something none of those resources could produce alone. The capability emerges from the combination, not the component.
The final process is where improvisation becomes institution. When a particular bundle works, when a content approach generates consistent pipeline, when a partnership model proves repeatable, when a customer acquisition sequence delivers reliably, the task is to routinise it.
Routinisation means the bundle no longer requires your full attention every time it executes. It moves from "something I do" to "something we do" to "how we work." At that point, you have a capability. Not a plan for a capability. An actual, functional marketing capability that produces results without heroic effort.
But here's the catch: under constraint, routinisation is fragile. The data shows four ways capabilities collapse. A key customer departs and the routine that depended on them evaporates. A strategic pivot renders an entire bundle obsolete. A team member leaves and takes the tacit knowledge embedded in the routine with them. Or the demands on the founder simply exceed capacity, and the routine breaks under load.
One startup-native leader illustrated both the power and fragility of leveraging in a single sequence. They reviewed data from an outbound campaign and found roughly a dozen prospects who had dropped through the cracks. Using an existing HubSpot licence, a means they already had, they built a four-piece re-engagement email sequence in two days. Within a day of launching, two prospects booked calls, one of which progressed to deal negotiation. The bundle worked: existing CRM data, existing tool, leader attention, fast execution. But it only worked because the leader personally reviewed the data, wrote the sequences, and monitored the results. That's the leveraging paradox. The capability is real, but it's tethered to the leader’s attention.
This fragility reveals something about the nature of capability itself, explored in depth in Marketing Routines as Ongoing Accomplishments. Marketing capability isn't something you build and then have. It's something you do and must keep doing. It's an ongoing accomplishment, not a permanent asset. When the doing stops, the capability disappears. Sixteen percent of the coded routine passages describe what I've termed "persistent proto-routines": capabilities stuck in an intermediate state of becoming. They're reproducible and partially standardised, but never fully crystallise into scalable routines. They work, but they require leader-level attention every time.
I'm not sure existing marketing or business theory handles this well. The closest vocabulary comes from Feldman and Pentland (2003) on routine dynamics, but the proto-routine concept as observed here pushes into territory their framework doesn't quite cover. This is where many early-stage companies get stuck.
One more thing about leveraging that the research surfaced, and that current startup marketing discourse rarely addresses: the role of AI as a co-constitutive element of capability. Not merely assistive, but structurally load-bearing. Broader organisation studies has begun theorising this under the banner of sociomateriality, but it hasn't been empirically documented in early-stage marketing capability building extensively (maybe ever?). Six of 13 participants now rely on generative AI tools (ChatGPT, Claude, Midjourney, workflow automation platforms, etc.) not as optional productivity boosters but as components without which their marketing routines cannot execute. The capability isn't "person uses AI tool." It's "person plus AI tool plus context equals capability." Remove the AI element, and the routine breaks. This has implications for capability fragility (you're now dependent on tools you don't control) and for capability innovation (AI affordances enable routine variants that weren't possible 18 months ago). If you're building marketing capability in 2026, AI co-constitution is the norm, not the exception.
To prevent confusion, it's worth being explicit about what EO is not, because the space of startup marketing advice is crowded and the differences matter.
It's not improvisation. Pure improvisation is reactive. You respond to whatever happens. There's no architecture, no accumulation, no path from "I tried something" to "we have a capability." EO is structured improvisation. Means-driven but deliberately configured. You start with what you have, but you don't just react. You deliberately structure your means into explorable configurations. You bundle resources with strategic intent. You routinise what works.
It's not strategic planning under a different name. Strategic planning assumes resource sufficiency. You design the ideal state and execute towards it. When the resources don't exist, the plan becomes fiction. EO inverts this: it starts from available means and discovers achievable ends.
It's not the lean startup's "build-measure-learn" loop. Lean methodology is excellent for product iteration, but it lacks the capability-building architecture that explains how individual experiments accumulate into organisational competence. EO provides that architecture: the path from means audit through structuring and bundling to leveraging is the path from individual action to organisational capability. The lean startup tells you to experiment. EO tells you how experiments become routines, and how routines become capabilities. Or fail to.
It's not "growth hacking." Growth hacking optimises for individual channel tactics. EO operates at the capability level. It explains how the ability to execute marketing emerges, persists, or collapses. A growth hack is a single experiment. EO is the architecture that determines whether that experiment becomes a repeatable capability or a one-off win that never compounds.
Effectual Orchestration integrates three theoretical streams that have, until now, remained largely separate for B2B SaaS marketing:
Effectuation theory (Sarasvathy, 2001\) describes the decision logic entrepreneurs use when means are known but ends are uncertain. Rather than starting with goals and seeking resources, effectual reasoners start with available means and ask what effects are possible. Sarasvathy identified five principles (means-driven action, affordable loss, strategic partnership, contingency exploitation, and control focus) that characterise this logic. The theory was developed for entrepreneurial decision-making in product domains. It has not been integrated with resource orchestration and routine dynamics to explain how marketing capability emerges at the micro-foundational level in constrained settings. The research finds that participants operate with high effectual orientation: when scored against these principles using the Revised Causation Scale (Read et al., 2009), scores range from 0.15 to 0.92 across 17 constructs. Effectual logic is pervasive but highly variable in degree, moderated by the individual's structural context.
Resource orchestration theory (Sirmon, Hitt & Ireland, 2011\) explains how firms configure and recombine resources through three mechanisms: structuring (identifying and acquiring resources), bundling (combining resources into configurations), and leveraging (deploying configurations to create value). The theory was developed for established firms with relatively stable resource bases and assumed deliberate, analytical resource decisions.
The micro-foundations movement (Felin, Foss & Ployhart, 2015\) insists on decomposing organisation-level capabilities into their constituent individual-level mechanisms: cognitive processes (how leaders think), social interactions (how teams coordinate), and structural enablers (what systems support or constrain action). This decomposition prevents the theoretical hand-waving that treats "capability" as an unexplained black box.
Effectual Orchestration integrates all three: effectual logic channelled through orchestration mechanisms, specified at the micro-foundational level. The result is a framework that can explain how marketing leaders under constraint actually build capability. Not just that they do, or that they should, but through what specific cognitive, social, and structural processes the capability emerges.
The framework is grounded in a research programme involving:
The methodological significance of this deserves a brief note. Most qualitative studies code data once through a single theoretical lens. This programme re-coded the same 155 original codes five times, through five different analytical frameworks, producing 360 passages. This multiple-lens approach reveals patterns invisible to any single framework. The activation trap, for instance, only becomes visible as a multi-level mechanism when you combine the cognitive lens (loss aversion), the routine lens (demand-brand ratio), the legitimacy lens (multi-audience mismatch), and the network lens (algorithmic closure). No single pass would have surfaced it.
The four-phase decomposition (Means Audit, Structuring, Bundling, Leveraging) maps directly to how leaders describe their actual process. This isn't a theoretical model imposed on messy data; it emerged from observing what effective constrained leaders actually do.
One finding is particularly striking: 12 of 13 participants primarily use experiential search (learning by doing, iterating from customer feedback, testing and adjusting) rather than cognitive search (hypothesis-driven analysis and market research). Only 5 of 13 sustain cognitive search, and these are predominantly corporate transplants (a pattern explored in Cognitive and Experiential Search and Cognitive Heterogeneity). This isn't a deficiency. It's adapted to the startup environment, where feedback is rapid, precedent is scarce, and speed of learning matters more than breadth of analysis (Gavetti & Levinthal, 2000; Gigerenzer, 2008).
The framework rests on two philosophical commitments that shape how it makes claims about the world:
Critical realism (Bhaskar, 1975\) provides the ontological foundation. Critical realism distinguishes between three domains: the empirical (what we observe in interviews), the actual (events that occur whether or not we observe them), and the real (generative mechanisms that produce events). This matters because it allows us to look beyond surface descriptions ("this company does content marketing") to underlying mechanisms ("this company's content marketing capability emerged from a specific bundling of network resources, founder expertise, and AI tools, and it persists only as long as those bundles remain active").
EO is a framework for understanding the mechanism, not just describing the outcome.
Process ontology (Whitehead, 1929; Tsoukas & Chia, 2002\) treats "becoming" as ontologically fundamental. Capabilities aren't things you have. They're things you do. They "become" through repeated action and can "un-become" when action stops. This isn't just philosophical wordplay. It has direct practical implications: it explains why marketing capabilities are fragile under constraint (they require ongoing enactment), why routines fragment when key personnel leave (the tacit knowledge enabling enactment departs with them), and why some capabilities persist in intermediate states of becoming, never fully crystallising but never fully dissolving either. This phenomenon of the "persistent proto-routine" emerged as a recurring empirical pattern during the enrichment analysis: it appears in 16% of routine-coded passages and represents a third state between ad-hoc activity and established routine that existing theory acknowledges in general terms but that has not been empirically documented in resource-constrained marketing contexts (Feldman & Pentland, 2003, provide the closest theoretical vocabulary for routine dynamics, though the proto-routine concept as observed here extends their framework into the specific conditions of early-stage capability building).
All 13 participants show capabilities emerging from pragmatic activity rather than pre-planned design. Capability fragility is universal: four distinct regression triggers were identified across the data. This is strong evidence for a processual view of marketing capability. One that treats capability as a verb, not a noun.
The most consequential finding isn't the framework itself. It's what the framework makes visible.
When you look at constrained marketing through the EO lens, patterns emerge that conventional strategy frameworks miss entirely. You can see why some leaders build durable capabilities while others cycle through initiatives that never accumulate. You can see why experience, specifically the wrong kind of experience, sometimes makes things worse, not better. You can see why knowing about your biases doesn't help you overcome them. And you can see the structural trap that makes most marketing leaders systematically under-invest in the very activities that would free them from dependence on short-term tactics.
That trap, the Activation Trap, is the subject of the next post. It's the single most consequential pattern in the data, and understanding it changes how you think about everything from budget allocation to board communication.
Next in the series: The Activation Trap — Why Marketing Leaders Systematically Under-Invest in Long-Term Growth
This post is part of a 10-part foundation series exploring how marketing capabilities emerge under constraint. The concepts draw on an ongoing research programme involving 13 in-depth interviews with B2B SaaS marketing leaders, analysed through the lens of effectuation theory, resource orchestration, and cognitive micro-foundations. Browse all pillars.
