Most ABM fails before launch: a list of named companies, some ads, no funnel math, no kill signals, no number a CFO can interrogate. The Design Sprint fixes that. Five days, nine design layers, one decision-ready blueprint — target portfolio, clusters, buying groups, commercial hypotheses, financial model, Bear/Base/Bull scenarios and the rules for when to scale or stop.
Programs that start with "which ads should we run?" end in impressions theatre. The sprint starts one level up — with the five questions every defensible ABM program must answer before a single campaign, ad, event or sequence launches.
The commercial result the program must generate to justify the investment — pipeline, revenue, gross profit, payback. Not "awareness" or "alignment."
A portfolio constructed for expected return — fit, value, timing and access — not every company that matches the ICP.
A defined account journey from targeted to closed-won, with explicit criteria for aware, engaged, MQA, SQA and opportunity.
Funnel math, cost model, pipeline ROI, revenue ROI, gross-profit ROI and CAC payback — modeled in Bear, Base and Bull cases.
Benchmarks, warning thresholds and kill signals agreed in writing before launch, so the program can't limp on without a definition of failure.
The sprint ends when the whole program fits in a single investment thesis: cost, accounts, expected opportunities, pipeline, revenue, gross-profit ROI and the thresholds that trigger a rethink.
A complete ABM program isn't a target list plus a media plan. It's nine layers that reference each other — the account portfolio feeds the financial model, the buying groups shape the motions, the funnel math sets the kill signals. The sprint completes every layer.
One dominant commercial objective with revenue, margin, cycle and duration attached — not "support sales."
The broad set of companies that could fit: firmographic, technographic, commercial-fit, trigger and accessibility criteria.
Groups that share a problem, trigger, buyer structure and value proposition — specific enough to share one message.
Economic buyer, business owner, technical evaluator, champion, user, blocker, procurement — mapped per tier.
A documented, evidence-graded belief about why each cluster will buy — confirmed, supported, plausible or speculative.
Seven stages from targeted to closed-won, each with defined signals and criteria. MQA ≠ "someone downloaded something."
Air cover, insight, executive, sales development, events and partner motions — coordinated, not improvised.
Media + technology + people + delivery cost against modeled pipeline, revenue, gross profit and payback.
Account, contact, program, velocity and quality metrics — plus the thresholds that force a decision.
Not "which platform should we buy?" but "what commercial result must this program generate to justify the investment?" The target-account list is not the starting point — it's one variable inside the financial model.
Demand gen counts impressions, leads, form fills and MQLs. ABM counts aware accounts, engaged accounts, qualified accounts, opportunities, buying-group penetration and closed-won accounts. Individuals matter — as members of a buying group.
Accounts are not equally attractive. Each is assessed on commercial value, purchase probability, strategic relevance, trigger strength, accessibility, timing, relationships and sales capacity — to construct the portfolio with the strongest expected return.
A list of 500 unrelated companies is not a strategy. A strong cluster shares a hypothesis, a message, an offer, evidence, content, outreach logic and a conversion path.
ABM programs run too long because nobody agreed what failure looks like. Every important stage leaves the sprint with an expected performance, an acceptable range, a warning threshold, an intervention rule and a stop-or-pivot condition. Examples: under 10% account engagement after 30 days → list or messaging problem. Under 5% account-to-opportunity after 60–90 days → ICP, offer or sales-execution misfit. High engagement, no meetings → weak conversion offer. Meetings, no opportunities → qualification or relevance problem.
Every day ends with a decision gate — an agreement in writing, not a discussion to revisit. Your decision-maker attends the gates; we do the heavy lifting between them.
One dominant commercial objective — win new enterprise accounts, expand strategic customers, enter a vertical, penetrate named regional accounts, raise ACV, accelerate stalled deals or build pipeline for a new offering. Never "increase awareness" or "support sales." We complete the objective template together:
We build the universe across five criteria families — firmographic (geography, revenue, headcount, industry, ownership, model, stage), technographic (platforms, infrastructure, CRM/ERP, cloud, security), commercial fit (deal size, use cases, cross-sell, margin), triggers (funding, new leadership, expansion, regulation, M&A, migrations, hiring surges, renewals, competitor displacement) and accessibility (relationships, partner intros, first-degree connections, known champions, referrals). Then every account is scored:
| Dimension | What it asks | Weight | Example |
|---|---|---|---|
| Fit | How closely does the account resemble the best potential customer? | 30% | 8/10 |
| Value | How economically attractive — contract value, margin, expansion, logo, LTV? | 30% | 9/10 |
| Timing | Why might they buy now — trigger, renewal, initiative, budget, deadline? | 25% | 7/10 |
| Access | How realistically can the buying group be reached? | 15% | 5/10 |
| Weighted score | 7.65/10 | ||
Selection principle: an excellent-fit account with no urgency or access may be worth less than a slightly weaker fit with a live trigger and a reachable buying group.
| Tier | Model | Typical volume | Treatment |
|---|---|---|---|
| Tier 1 | 1:1 | 5–20 accounts | Bespoke research, executive involvement, account-specific plays |
| Tier 2 | 1:Few | ~20–75 per cluster | Cluster messaging, cluster content, coordinated outreach |
| Tier 3 | 1:Many | Hundreds+ | Scaled targeting, intent monitoring, automated prioritization |
Gate: target list locked, tiers assigned, owners named. Tier 1 treatment for hundreds of companies breaks both economics and team capacity — we won't design it.
Each cluster gets one coherent commercial story: name, account count, shared industry or model, shared trigger, shared business problem, shared buyer group, use case, expected deal size, value proposition, required evidence, conversion offer and sales motion. Then the buying group per tier:
| Role | Example title | Primary concern | Required message |
|---|---|---|---|
| Economic buyer | CFO, COO, BU President | Return, risk, strategic relevance | Business case and financial impact |
| Business owner | VP Sales, CMO, Head of Ops | Performance improvement | Operational and commercial outcome |
| Technical evaluator | CIO, CTO, Security Lead | Integration and risk | Architecture, controls, feasibility |
| Champion | Director / senior manager | Internal success | Proof, support and career upside |
| User | Practitioner / team lead | Usability and workload | Ease of adoption, practical value |
| Blocker | Anywhere | Risk, incentives, workload, politics | De-risking and effort clarity |
| Procurement & legal | Procurement Manager | Price and compliance | Commercial clarity, reduced risk |
Every cluster leaves the room with a documented hypothesis in this exact structure:
Evidence hierarchy: annual reports, investor decks, earnings calls, hiring data, customer reviews, product changes, public tech signals, executive interviews, regulatory disclosures, procurement notices, partner ecosystems, previous conversations. Weak signals never get promoted to facts. One engaged contact does not equal an engaged account — for major accounts we define coverage requirements: known contacts, engaged contacts, departments reached, champion presence, economic-buyer access, technical validation status.
Value proposition — built in six parts: problem → business consequence → desired outcome → mechanism → evidence → smallest credible next step.
✕ Weak: "We help companies transform digitally using innovative technology."
✓ Strong: "We help regional banks identify and redesign the mobile journeys causing the most complaints, abandonment and support demand — before committing to a full platform replacement."
Account journey — seven stages with defined signals:
Six coordinated motions, selected and sequenced per cluster:
| Motion | Purpose | Examples |
|---|---|---|
| Air cover | Familiarity; make outbound land warmer | LinkedIn, programmatic, industry media, podcasts, retargeting |
| Insight | Prove account relevance; a reason to engage | Account audit, benchmark, scorecard, maturity assessment, peer comparison |
| Executive | Senior access and credibility | Private briefings, peer roundtables, strategic workshops, advisory conversations |
| Sales development | Turn signals into conversations | Multithreaded, trigger-based outreach; champion development; committee mapping |
| Events | Concentrated interaction | Dinners, workshops, webinars, private briefings, conference meetings |
| Partner | Borrow trusted relationships | Tech vendors, consultancies, implementers, investors, associations, customers |
The conversion offer — where most ABM quietly dies. "Book a demo" and "contact sales" are weak CTAs. We design an offer that reduces buyer risk and gives a specific reason to engage now: account-specific assessment, benchmark review, executive briefing, architecture workshop, opportunity scan, cost-reduction analysis, maturity scorecard, competitive comparison, customer-friction audit or pilot design session. Each candidate offer passes a five-question test: Why engage now? What immediate value? What effort required? What commercial risk? Does it lead naturally to the paid solution?
The financial model is assembled and stress-tested: full funnel math with explicit denominators, the three-part cost model, pipeline and revenue projections, Bear/Base/Bull scenarios, the kill-signal table, governance cadence and roles — all compressed into the one-page canvas and the investment thesis paragraph. The whole section below is Day 5's working material.
Funnel math designed before launch, with the denominator declared at every stage — engagement rate means engaged ÷ target accounts, close rate means won ÷ opportunities, and nobody mixes denominators across reports.
| Stage | Rate | Accounts |
|---|---|---|
| Target accounts | — | 200 |
| Aware | 78% | 156 |
| Engaged | 38% of aware | 59 |
| MQA | 65% of engaged | 38 |
| SQA | 75% of MQA | 29 |
| Opportunity | 60% of SQA | 17 |
| Closed won | 25% of opps | 4 |
Assumptions come from your historical data, comparable segments, previous campaigns and sales conversion data — conservative estimates where data is absent, never wishful benchmarks.
| Step | Value |
|---|---|
| 100 targets × 25% engagement | 25 engaged accounts |
| × 40% meeting conversion | 10 meetings |
| × 70% opportunity conversion | 7 opportunities |
| × €75k average opportunity | €525k pipeline |
| × 30% historical close rate | €157.5k expected revenue |
| × 70% gross margin | €110.25k expected gross profit |
| Return lens (÷ €50k program cost) | Result |
|---|---|
| Pipeline ROI | 10.5× |
| Revenue ROI | 3.15× |
| Gross-profit ROI | 2.21× |
| Net contribution | +€60,250 |
| Cost per opportunity | €7,143 |
| CAC payback | acquisition cost ÷ monthly gross profit |
A single ROI multiple conceals weaknesses — the sprint models all of them. Pipeline ROI measures efficiency; only gross-profit ROI answers whether the program pays for itself.
LinkedIn, programmatic, CTV, direct mail, events, executive dinners, sponsorships, content distribution, account-specific experiences. Planning heuristic for sustained air cover: roughly €150–€300 per target account per month — a starting range we recalibrate to your market, geography, audience size and channels.
ABM platform, intent data, enrichment, ad infrastructure, orchestration, CRM, attribution, analytics, research tools and data providers — with annual tools allocated proportionally across programs, not conveniently ignored.
Loaded cost of marketing, SDRs, AEs, research, content, design, operations, leadership, agencies and SMEs. Formula: burdened annual salary ÷ available working hours × program hours — or monthly burdened cost × % time allocated.
When relevant: free audits, pilots, workshops, proof-of-concept delivery, samples, discounts, travel, executive time and partner commissions. Total investment = A + B + C + D. That number is the denominator of every ROI above.
Bear is underperformance without total failure. Base is the most defensible expected outcome from historical rates and realistic capacity. Bull is strong execution and favorable response — plausible, not aspirational fantasy. Account and deal numbers get rounded sensibly; the math never manufactures false precision.
| Metric | 🐻 Bear | 📊 Base | 🚀 Bull |
|---|---|---|---|
| Target accounts | 100 | 100 | 100 |
| Engagement rate → engaged | 20% → 20 | 28% → 28 | 35% → 35 |
| Meeting conversion → meetings | 30% → 6 | 40% → 11 | 50% → 18 |
| Opportunity conversion → opps | 50% → 3 | 65% → 7 | 75% → 14 |
| Close rate → closed won | 15% → 0–1 | 25% → 2 | 35% → 5 |
| Average deal size | €60k | €75k | €90k |
| Expected pipeline | €180k | €525k | €1.26M |
The blueprint compares the program with your existing channels — inbound, outbound, events, partnerships, paid search, field and channel sales, referrals — on cost per opportunity, cost per closed deal, ACV, win rate, cycle length, gross margin, expansion potential, CAC payback and LTV:CAC. The story the board should hear is "ABM produces better commercial economics for this segment than the alternatives" — never "ABM is strategic and competitors are doing it."
Impact is classified — ABM-sourced, influenced, accelerated, protected, or unrelated target-account pipeline — and verified with holdout accounts, matched cohorts, target-vs-control conversion, cycle and win-rate comparison. No full credit just because an opportunity came from a listed account.
Each failure pattern gets a signal, a likely cause and a pre-agreed action, so the monthly review makes decisions instead of excuses.
| Stage | Warning signal | Likely issue | Pre-agreed decision |
|---|---|---|---|
| Engagement | Under 10% after 30 days | Wrong companies, inaccessible audience, weak data, poor channel match | Review selection, verify contacts, shrink list, rebuild clusters |
| Messaging | Reach fine, engagement low | Generic proposition, irrelevant problem, weak evidence or differentiation | Revise hypothesis, interview buyers, test sharper POV, change creative |
| Meeting creation | Strong engagement, under 10% meeting conversion | Weak CTA, too much commitment, unclear immediate value, disguised sales | Redesign the conversion offer, reduce friction, add account-specific value |
| Opportunity creation | Under 5% of target accounts after 60–90 days | Wrong buyers, curiosity without urgency, low-value problem, weak discovery | Tighten SQA criteria, improve prep, review buyer selection, revise offer |
| Buying-group depth | One contact engaged in strategic accounts | Insufficient multithreading | Expand stakeholder coverage |
| Win rate | Materially below non-ABM benchmark | Pricing, competition, implementation risk, missing proof, procurement friction | Review losses, strengthen business case and proof, adjust packaging |
| Economics | Base-case gross-profit ROI below threshold | Program not financially viable | Stop or redesign |
New account signals, engagement changes, sales follow-up, buying-group coverage, next actions, blockers. Campaign owner, sales owner, SDR, ops, AEs.
Funnel performance, spend, account progression, cluster performance, content and channel effectiveness — and the intervention decisions the kill signals demand.
Pipeline created, revenue realized, gross profit, cost per opportunity, CAC payback, win-rate lift — expansion or termination decision.
| Role | Owns |
|---|---|
| Program owner | Objective, design, coordination, financial model, leadership reporting |
| Marketing | Cluster proposition, content, campaigns, engagement orchestration, conversion offers |
| Sales | Account relationships, qualification, opportunity creation, buying-group development |
| SDR / BD | Outreach, signal follow-up, contact mapping, meeting creation, CRM hygiene |
| Revenue operations | Data definitions, account stages, reporting, attribution, dashboards, scenario tracking |
| Finance | Validates cost, revenue assumptions, gross margin, ROI methodology, payback |
| Leadership sponsor | Executive access, internal priority, escalation, scale-or-stop decisions |
The full nine-layer design document: objective, portfolio, clusters, buying groups, hypotheses, journey, motions, financial model, decision rules.
Universe → weighted fit/value/timing/access scores → tiered portfolio with named owners, ready to load into your CRM.
Completed cluster templates with evidence-graded commercial hypotheses and the buying-committee map per tier.
Cluster-specific value propositions and a tested conversion offer — the smallest credible next step that leads to the paid solution.
Funnel math with explicit denominators, full cost model, Bear/Base/Bull scenarios, ROI on every lens, channel comparison — in an editable spreadsheet.
Kill-signal table, 30/60/90-day thresholds, governance cadence, RACI, MQA/SQA definitions and the shared marketing–sales dashboard design.
Plus the one-page ABM design canvas — business case, portfolio, cluster hypothesis, proposition, funnel assumptions, motions and decision rules on a single page — and the investment thesis paragraph leadership signs.
The sprint runs your program through the full approval checklist. If a box can't be ticked, that's a finding — not a formality to skip.
Who the accounts are and why · the shared hypothesis · who must be influenced · the experience and offer · how accounts progress · what it costs · what it returns · Bear/Base/Bull · and when to continue, intervene, scale or stop.
Measures how your target market actually sees you today — awareness across 30–60 named accounts, branded search, AI-engine visibility, committee coverage. The audit's data feeds the sprint; bundled as Audit + Design Sprint at €4k–€10k over 2–3 weeks.
Five days from objective to decision-ready blueprint. €3k–€6k. You can hand the blueprint to your in-house team and run it yourself — the sprint is designed to stand alone, with an advisory retainer optional.
We operate what the sprint designed: one cluster, 30–60 accounts, 10 Tier 1, one narrative, paid air cover, weekly account cadence — measured against the recorded baseline. €4k–€8k/mo for 3 months.
Yes — because the sprint designs, it doesn't execute. Research prep happens before Day 1 (we arrive with a draft universe and evidence pack), and the days are structured around decision gates rather than open discussion. What takes companies quarters is usually not the thinking — it's the absence of a forcing function.
Yes. Where data is absent we use comparable segments, previous campaigns and deliberately conservative estimates — and mark every assumption's evidence grade, exactly as we grade account hypotheses. The Bear case exists precisely so that uncertain assumptions can't sink the decision.
No. The blueprint is platform-agnostic — account stages, MQA/SQA definitions and the dashboard spec are written so revenue operations can implement them in whatever CRM and tooling you run. The cost model includes a technology line so a platform decision, if any, is made with the economics visible.
Then you've bought the cheapest possible version of that answer. If the base-case gross-profit ROI doesn't clear your threshold, the blueprint says so — with the channel comparison showing where the budget works harder. A sprint that prevents a six-figure program that shouldn't run has paid for itself many times over.
A decision-maker at the daily gates (roughly 60–90 minutes a day), a sales counterpart for Days 2–4, and whoever owns marketing operations for Day 5. We do the heavy lifting between gates — research, drafting, modeling — so your team's time goes into decisions, not documents.
The pilot's Days 1–5 are this sprint — bought standalone, you get the same blueprint with full ownership of execution. Teams that run the sprint first and later choose the pilot start executing immediately; the design work carries over one-to-one.
Send us your market, your offer and your best guess at a target list. We'll return a sprint agenda tailored to your data situation — and if a baseline audit should come first, we'll say so before you spend a euro.
Book the design sprint →€3k–€6k · 5 days · a Revenue Puzzles practice · 30 mins no-strings-attached discovery call available