TL;DR
Factory → Consultancy 2.0Two 15-person agencies can live in completely different universes: one clears a 62% gross margin, the other struggles to hit 10%, one earns $245k per full-time employee, the other only $125k/FTE, one is hyper-focused on 10 clients total, while the other spreads 55 clients across two PMs. They have the same head count, but they’re radically different businesses. Using generalized “best practices” to manage both would be a disaster. When we introduced the Factory–Consultancy Continuum three years ago, it helped explain why tactics that work beautifully in one shop crash and burn in another. Today, we’re introducing three upgrades to the framework that should make it easier for agency leaders to use:
Last Call for the AI Micro-SurveyWe’ve received some fantastic responses (over 200 already!) that have given us some early insight into how shops are selling, pricing, and positioning AI services for clients. Be sure to participate before the survey closes this Friday (8/8) to get access to the full AI Agency Playbook which these results will be a part of.
Our Model Needed a RefreshQuick recap. In the original article, we described the two extremes:
Where an agency lands dictates pricing, staffing, sales cycle, and even exit potential. For the first time, agency leaders could clearly see that project complexity and uniqueness could explain seemingly massive performance gaps between their firms and the standard agency benchmarks. It also warned everyone to avoid the middle, where margins sink and positioning blurs. Since that launch, we conducted a deeper analysis of 69 digital agencies, assessing various factors including sales complexity, client concentration, employee costs, project uniqueness, and project complexity. We found that 65% of them landed pretty squarely in the middle. A mixing of strategies and practices from both ends of the spectrum that ultimately undermined their growth and profitability prospects. A quarter of shops leaned toward consultancies, meaning that most of their agency was dialed in to operate like a consultancy with a few lingering factory-style components. Six percent operated as pure consultancies and showed some of the Very few operated at the other end of the spectrum. 2% leaned factory and only 1% operated as a pure factory-style agency. This shows the potential that exists for a good percentage of agency leaders to better align the shape of their agency with what they want out of it. With that, it’s time to upgrade the framework so it’s even more helpful for those who feel stuck in the middle. Upgrade 1: A More Detailed SpectrumCommodity Factory (1% of firms) These shops live on speed and volume. They produce templated website bundles and low-touch retainers, competing almost exclusively on price. Because the work is highly standardized, margins are forever under pressure, and survival depends on relentless throughput and automation. AI is both a blessing and a curse for this zone. Procedure Factory (2%) Think “repeatable but beefy.” A signature example is a fixed‑scope Shopify launch delivered in six weeks. Engagements follow tight playbooks, mid‑level talent handles the bulk of production, and project management discipline is non‑negotiable. Success hinges on hitting scope, timeline, and cost every single time. We’re seeing AI help out these firms more than it’s hurting them. The Frustrating Middle (65%) Most agencies still camp out in this messy mashup of attributes borrowed from the other four zones. Scope creep is common, pricing models vary from client to client, and the talent available never seems to match what’s needed. As a result, margins remain consistently under pressure and frustration runs high. The fastest way to healthier economics is to migrate decisively to one of the poles. AI’s hit or miss here, depending on the attribute mix. Gray Hair Boutique (26%) These firms win by pairing veteran know-how with bespoke problem-solving. Typical engagements include CRO road maps or complex migrations where experience trumps sheer headcount. Senior consultants lead discovery and nurture relationships. Pricing is premium but justified by expertise and outcome certainty backed by high ROIs for big-name clients. AI’s been helpful here, mostly in custom-trained LLMs based on internal knowledge. Rocket‑Science Consultancy (6%) At the far end of the spectrum sit agencies that tackle green-field, bet-the-company challenges, think new AI products or thorny omnichannel transformations. Small, expert teams work long, exploratory cycles and price on delivered value, not hours. Sales cycles are lengthy, but win rates and margins can be exceptional when a fit is found. We haven’t seen significant AI impacts here. The main use case has been offloading tedious tasks from senior talent, but assistants have already done the same or better. Together, these five zones capture the full spread of today’s digital agency landscape, providing a clear reference point for where you operate now and where to move next. Why five? Our research shows that profitability, leverage, and risk jump in visible steps across practice types. A five-zone ladder mirrors those jumps and gives leaders a sharper target than “somewhere towards a pole.” Moving ZonesThere are still significant benefits to aligning toward one of the extremes:
If you’re stuck in the Frustrating Middle, you might be competing on price while paying for senior talent, a recipe for margin destruction. As we said in our original F-C post, pick a side and move towards it. Upgrade #2: The Service‑Life‑Cycle LensInnovation ages. Our data, echoed by Gartner’s annual Hype Cycles, shows that every agency offering slides through recognizable stages: Rocket Science → Gray Hair → Procedure → Commodity Understanding where each service sits on that arc is critical, especially when you’re selling to upper–mid‑market and enterprise buyers who judge worth by perceived novelty and risk reduction. Where in this Rocket-to-commodity list do they place your services?
The life‑cycle lens prevents agencies from clinging to aging services that drain margin and from skipping the R&D that enables tomorrow’s high-value work. Upgrade #3 The KPI / Risk DashboardTo help everyone understand where a shop should operate along the continuum, we put together this quick-reference dashboard. It lists the minimum healthy gross‑margin percentage, the acceptable billable‑utilization range, and the primary risk (plus a starter mitigation) for each zone. It’s based on real-world data from our work with thousands of digital agencies. Commodity Factory
Procedure Factory
Gray Hair Boutique
Rocket-Science Consultancy
Operationalizing the FrameworkWe built these upgrades to turn the frustrating middle into a set of more deliberate choices. Pick the zone you’d like to build toward, plot your services on the life‑cycle map, and use the dashboard as a guide. Review those three signals each month, course‑correct when needed, and rescore the portfolio every quarter. That simple loop turns the “frustrating middle” into a set of conscious moves toward the agency you actually want to run. We use this framework in our agency consulting services. Feel free to reach out (reply to this email) if you'd like more info. I hope this refresh is helpful! -Nick |
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