This assessment evaluates the alignment maturity between sales and marketing teams across five dimensions — shared definitions, lead handoff process, SLA compliance, attribution and measurement, and strategic planning. Only 8% of companies report strong alignment, yet aligned organizations achieve 32% higher year-over-year revenue growth and 38% higher win rates. This diagnostic identifies specific misalignment gaps and routes to targeted improvement actions. [src1]
What this measures: Whether sales and marketing agree on fundamental terms — lead stages, qualification criteria, ICP, and target account definitions.
| Score | Level | Description | Evidence |
|---|---|---|---|
| 1 | Ad hoc | No shared definitions; teams use different terms for the same concepts | Ask sales and marketing separately "what is a qualified lead?" — answers diverge significantly |
| 2 | Emerging | Some informal agreements but not documented; ICP defined by marketing but not validated by sales | Marketing has buyer personas; sales uses different criteria to prioritize |
| 3 | Defined | Documented shared glossary with MQL, SQL, SAL definitions; ICP jointly developed; lead scoring criteria agreed | Written SLA includes shared definitions; both teams articulate same criteria |
| 4 | Managed | Definitions recalibrated quarterly based on conversion data; buying group definitions incorporated | Quarterly meeting reviews definitions against actual buyer behavior |
| 5 | Optimized | Dynamic, data-driven definitions that auto-adjust; account-level qualification; unified revenue language | Definitions evolve continuously based on ML signals; identical taxonomy across all GTM functions |
Red flags: Marketing celebrates MQL volume while sales complains about lead quality; no written definition exists anywhere. [src2]
Quick diagnostic question: "If I asked your top sales rep and demand gen lead to separately define a 'qualified lead,' would they give the same answer?"
What this measures: The mechanics and effectiveness of how leads transfer from marketing to sales.
| Score | Level | Description | Evidence |
|---|---|---|---|
| 1 | Ad hoc | No formal handoff; leads sent via email or spreadsheet; follow-up varies from hours to weeks | Leads pile up in shared inbox; some never contacted |
| 2 | Emerging | Automated routing exists but without enrichment; speed-to-lead inconsistent; SAL rate below 50% | CRM assigns leads but sales receives only name/email |
| 3 | Defined | Structured handoff with lead score, engagement history; speed-to-lead SLA < 4 hours; SAL rate 60-75% | Handoff includes touchpoints, content consumed, and score |
| 4 | Managed | Bi-directional feedback loop; rejected leads returned with reason codes; SAL rate 75-85% | Marketing adjusts scoring based on sales feedback; recycle process defined |
| 5 | Optimized | Real-time handoff with intent signals and buying committee mapping; SAL rate > 85% | Handoff timing driven by buying signals; multi-threaded with committee context |
Red flags: Sales says "marketing leads are garbage" while marketing says "sales doesn't follow up"; no speed-to-lead data. [src4]
Quick diagnostic question: "What happens in the first 60 minutes after marketing passes a lead to sales?"
What this measures: Whether formal service level agreements exist and are measured, reported, and enforced.
| Score | Level | Description | Evidence |
|---|---|---|---|
| 1 | Ad hoc | No SLA exists; commitments verbal and informal | "We should follow up faster" discussions with no targets |
| 2 | Emerging | Informal agreements on volume and timing but not documented or measured | Marketing commits to "more leads"; sales commits to "faster follow-up" |
| 3 | Defined | Written SLA with marketing volume/quality and sales follow-up commitments; monthly compliance reporting | Monthly report shows MQL delivery vs. target and follow-up compliance |
| 4 | Managed | SLA integrated into CRM with automated tracking; real-time dashboards; breach alerts | Dashboard shows live SLA performance; breaches trigger escalation |
| 5 | Optimized | Shared revenue targets with joint accountability; SLA tied to compensation | Both teams measured on pipeline contribution and revenue; bidirectional SLA |
Red flags: SLA exists on paper but nobody knows the numbers; marketing measures MQLs while sales measures revenue with no connection. [src6]
Quick diagnostic question: "Show me your SLA dashboard — what were compliance rates last month?"
What this measures: How marketing and sales jointly measure performance, attribute revenue, and optimize the funnel.
| Score | Level | Description | Evidence |
|---|---|---|---|
| 1 | Ad hoc | No attribution model; marketing measures campaigns in isolation; sales measures revenue without source connection | Marketing reports CTR; sales reports bookings; nobody connects the two |
| 2 | Emerging | First-touch or last-touch attribution implemented but disputed; conflicting reports | Marketing and sales present different numbers in leadership meetings |
| 3 | Defined | Multi-touch attribution accepted by both teams; shared funnel metrics tracked end-to-end | Single source of truth for funnel metrics; same conversion rates referenced |
| 4 | Managed | Revenue attribution with influence tracking; marketing-influenced pipeline alongside sourced; joint pipeline reviews | Marketing reports sourced and influenced revenue; joint weekly reviews |
| 5 | Optimized | Probabilistic attribution with ML; account-level across buying committees; shared revenue model | Attribution is optimization tool, not credit allocation; shared model |
Red flags: Marketing and sales present different pipeline numbers to the board; attribution model changes quarterly; neither team trusts the other's data. [src3]
Quick diagnostic question: "If I asked marketing and sales how much revenue marketing influenced last quarter, would the numbers match?"
What this measures: Whether sales and marketing plan together and communicate regularly enough to stay aligned.
| Score | Level | Description | Evidence |
|---|---|---|---|
| 1 | Ad hoc | No joint planning; marketing plans campaigns without sales input; sales sets targets without marketing | Marketing launches campaigns sales didn't know about |
| 2 | Emerging | Annual planning includes some coordination but execution diverges quickly | Joint annual kickoff but by Q2, teams operate independently |
| 3 | Defined | Quarterly joint planning; shared target account list; monthly alignment meetings | Both teams work from same account list; monthly reviews of pipeline and priorities |
| 4 | Managed | Integrated GTM planning with shared OKRs; weekly cross-functional standup | Teams share OKRs; weekly standup surfaces blockers; war rooms for strategic deals |
| 5 | Optimized | Unified revenue team operating model; real-time signal sharing; joint account strategies | Functionally distinct but operationally unified; single revenue plan |
Red flags: Sales learns about campaigns from customers; marketing learns about product changes from the sales deck; leadership meetings are finger-pointing. [src5]
Quick diagnostic question: "When was the last time sales and marketing leaders sat together to plan — and what came out of it?"
Overall Score = (Shared Definitions + Lead Handoff + SLA Compliance + Attribution + Strategic Planning) / 5| Overall Score | Maturity Level | Interpretation | Recommended Next Step |
|---|---|---|---|
| 1.0 - 1.9 | Critical | Sales and marketing operate as separate organizations; misalignment costs 10-15% of potential revenue | Start with shared definitions and basic SLA |
| 2.0 - 2.9 | Developing | Some alignment but fragile and informal; revenue leakage from handoff gaps | Formalize SLA, implement structured handoff, establish shared funnel metrics |
| 3.0 - 3.9 | Competent | Solid alignment foundation with documented processes; teams working from shared playbook | Optimize handoff with feedback loop; implement multi-touch attribution |
| 4.0 - 4.5 | Advanced | Strong alignment with shared accountability; revenue predictability improving | Move toward unified revenue operations model; shared compensation elements |
| 4.6 - 5.0 | Best-in-class | Unified revenue team with shared goals and data-driven optimization | Maintain through continuous calibration; invest in AI-driven signal sharing |
| Weak Dimension (Score < 3) | Fetch This Card |
|---|---|
| Shared Definitions | Lead Scoring and Qualification Framework |
| Lead Handoff Process | Lead Handoff Process Playbook |
| SLA Compliance | Marketing-Sales SLA Design Playbook |
| Attribution and Measurement | Revenue Attribution Model Selection |
| Strategic Planning | GTM Planning Alignment Framework |
| Segment | Expected Average Score | "Good" Threshold | "Alarm" Threshold |
|---|---|---|---|
| Seed/Series A (<$5M ARR) | 2.0 | 2.8 | 1.3 |
| Series B-C ($5-50M ARR) | 2.8 | 3.5 | 2.0 |
| Growth/Scale ($50-200M ARR) | 3.5 | 4.0 | 2.5 |
| Enterprise/Public ($200M+ ARR) | 3.8 | 4.3 | 3.0 |
Fetch when a user asks to evaluate sales-marketing alignment, diagnose declining lead-to-close conversion, prepare for RevOps build-out, or address recurring conflicts between teams. Critical during organizational scaling when informal alignment breaks down.