SEO Expert: John Vargo August 28, 2025

90-Day Executive Action Plan: Modern Marketing as a Revenue Engine

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Last updated: August 28, 2025 by John Vargo with the help of AI to be more comprehensive and informative.

Open PDF > 90-Day Executive Action Plan: Modern Marketing as a Revenue Engine 

See companion article > The Executive’s Guide to Driving Revenue Growth Through Modern Marketing

1) Objectives & Outcomes

This 90-day plan converts marketing from a cost center into a measurable revenue driver. By Day 90 you will have:

  • A board-approved Metrics Charter (pipeline contribution, CAC, LTV, ROI) with precise definitions and owners.
  • An integrated, QA’d data foundation (CRM ↔ marketing automation ↔ attribution) and clean UTM/tracking.
  • Hardwired sales–marketing alignment (shared KPIs, SLAs, monthly pipeline reviews).
  • A live ABM pilot and AI-assisted scoring/personalization producing measurable pipeline and cycle-time gains.
  • A board-ready Revenue Impact Report plus a scale plan for the next 2–3 quarters.

2) Roles & RACI

RACI is a simple roles & responsibilities model used to make ownership crystal-clear on any project.

R – Responsible: Does the work. There can be many Rs.
A – Accountable: Owns the outcome and signs off. There should be exactly one A per task.
C – Consulted: Gives input before decisions (two-way communication).
I – Informed: Kept in the loop after decisions (one-way updates).

Role Primary Responsibilities Key Decisions RACI

Role Primary Responsibilities Key Decisions RACI
CEO Set growth targets, sponsor cadence, remove blockers Approve Metrics Charter & reallocations A
CMO Own plan, metrics, ABM, automation, content SLA definitions, budget reallocation R
CRO Co-own pipeline targets/forecast; sales process & cadences Lead routing, qualification, sequences R
RevOps Lead Data model, attribution, dashboards, pipeline hygiene Attribution approach, dashboard spec R
Demand Gen Lead Campaigns, ABM plays, nurture, testing Channel mix, offers R
Sales Ops Routing, territories, CRM config, enablement Stage definitions, SLA instrumentation R
Data/Analytics Tracking, QA, baselines, KPI monitoring Data quality thresholds, anomaly handling R
Marketing Ops MAP integration, automation build, UTM governance Journey logic, scoring implementation R
IT/CRM Admin Access, security, integrations Integration timeline, APIs C
Finance Budget control, ROI validation Investment gates, efficiency targets C

 

3) Governance & Cadence

  • Weekly (30 min) – Executive Pipeline Review (CMO/CRO/RevOps; CEO optional)
  • Biweekly (45 min) – Data & Attribution QA (tracking gaps, completeness %, model drift)
  • Monthly (60–90 min) – Board-Ready Readout (pipeline %, CAC/LTV/ROI, wins/learns, next bets)
  • Daily (15 min, optional) – RevOps standup for cross-team blockers

4) KPIs, Formulas & Day 30/60/90 Targets

  • KPI Definition / Formula Target Day 30 / 60 / 90 Notes
  • Pipeline Contribution Marketing-influenced opps ÷ total opps × 100 Baseline → +10 pts → +15–20 pts Track sourced & influenced
  • MQL→SQL Conversion SQL ÷ MQL × 100 Baseline → +15% → +25% SLAs + scoring + routing
  • SLA Adherence (Speed-to-Lead) % leads contacted within X min/hr 70% → 90% → 95% Segment by channel
  • Data Completeness % opps with source/UTM/stage dates 80% → 95% → 98% Gate stage progress
  • Cycle Time (Stage Velocity) Avg days per stage & total cycle −5% → −12% → −20% ABM + enablement
  • CAC (Sales + Marketing cost) ÷ new customers Baseline → −5% → −10–15% By segment/offer
  • Marketing ROI (Revenue − Cost) ÷ Cost Baseline → +10% → +25% Finance tie-out

5) Week-by-Week Roadmap (90 Days)

Week 1: Kickoff & Success Definition

Objectives:

  • Executive kickoff and scope
  • Metrics Charter v0.9: definitions/formulas & owners for pipeline %, CAC, LTV, ROI
  • Inventory systems, reports, fields, and gaps

Deliverables:

  • Draft Metrics Charter
  • System/Data Inventory & Gap List

Week 2: Baselines & Dashboard Spec

Objectives:

  • Pull KPI baselines (last 4 quarters)
  • Executive Dashboard Requirements: audiences, views, filters, drill-downs
  • Finalize pipeline taxonomy & stage definitions

Deliverables:

  • Baseline KPI Report
  • Dashboard Spec v1.0

Week 3: Tracking & Data Audit

Objectives:

  • Audit CRM/MAP tracking; UTM standards; lead source mapping
  • Define required fields & validation rules
  • Decide attribution model (position/time-decay/data-driven)

Deliverables:

  • Data Model & Tracking Plan
  • Attribution Decision

Week 4: Integration & QA

Objectives:

  • Connect CRM ↔ MAP ↔ attribution; identity resolution rules
  • Implement UTM/event tracking; QA checklist; first QA pass
  • Stand up Dashboard v1 (read-only)

Deliverables:

  • Integrated Data Map
  • QA Checklist & First QA
  • Dashboard v1

Week 5: Alignment & SLAs

Objectives:

  • Define MQL/SQL/SAL; routing rules; handoff criteria
  • Draft SLAs: speed-to-lead, follow-up depth, recycling
  • Enablement one-pagers & training for BDR/AE

Deliverables:

  • SLA Doc v1.0
  • Routing Rules live in CRM
  • Enablement Pack

Week 6: Scoring & Nurture Foundations

Objectives:

  • Implement fit + engagement scoring v1 (heuristic); thresholds by segment
  • Map nurture journeys by stage & ICP tier
  • Content gap analysis for ABM

Deliverables:

  • Lead Scoring v1
  • Journey Maps
  • Content Gap List

Week 7: ABM Pilot Prep

Objectives:

  • Define ICP & tiering; select 50–100 target accounts (TAL)
  • Build 1:1 / 1:few / 1:many plays & assets
  • Sales–marketing orchestration calendar

Deliverables:

  • Target Account List
  • Playbooks & Asset List
  • Orchestration Calendar

Week 8: AI POC & Automation Build

Objectives:

  • AI scoring POC on historical data; define success metrics
  • Personalization pilot (dynamic web/email for 1–2 segments)
  • Build automation journeys; instrument experiment tracker

Deliverables:

  • AI POC Results
  • Personalization Pilot Plan
  • Automation Journeys v1

Week 9: Launch Pilots & Instrumentation

Objectives:

  • Launch ABM + AI pilots; align SDR/AE sequences
  • Finalize Dashboard v2 with exec views & drill-downs
  • Start weekly RevOps pipeline review

Deliverables:

  • Pilot Launch Memo
  • Dashboard v2 (Exec-ready)
  • Weekly Review Agenda

Week 10: Early Optimization

Objectives:

  • Analyze coverage/penetration, engagement, stage velocity
  • Tighten SLAs, scoring thresholds, routing rules
  • Scale winners; pause underperformers

Deliverables:

  • Optimization Log
  • SLA/Scoring Update
  • Winning Offers Pack

Week 11: Scale & Efficiency

Objectives:

  • Expand pilots to next ICP tier/region
  • Finance tie-out on ROI/CAC; attribution sanity check
  • Harden data QA & alerting

Deliverables:

  • Scale Plan v1
  • Finance-Verified ROI Snapshot
  • QA Alerts Enabled

Week 12: Enablement & Change Management

Objectives:

  • Refresh sales enablement; objections; customer stories
  • Executive comms: results & next-phase plan
  • Groom Q2 backlog (features, content, channels)

Deliverables:

  • Enablement Kit v2
  • Exec Comms Draft
  • Q2 Backlog

Week 13: Day 90: Board Readout & Next-Quarter Plan

Objectives:

  • Board Revenue Impact Report: pipeline %, CAC, ROI, ABM/AI lift
  • Executive retrospective; scale-or-stop decisions
  • Approve next-quarter budget reallocations

Deliverables:

  • Board Report
  • 90-Day Retrospective
  • Q+1 Budget & Roadmap

6) Templates & Artifacts (Included in Scope)

  • Metrics Charter (definitions, formulas, owners, reporting cadence)
  • KPI Dictionary (field-level specs mapped to CRM/MAP)
  • Executive Dashboard Spec (views, filters, drill-downs, ownership)
  • SLA Document (MQL/SQL/SAL, speed-to-lead, follow-up standards)
  • Routing Rules Matrix (by ICP tier, territory, segment)
  • ABM Playbook (1:1 / 1:few / 1:many) + Orchestration Calendar
  • AI Scoring POC Brief (inputs, success metrics, governance)
  • Experiment Tracker (hypothesis → metric → result → next)
  • Board Revenue Impact Report Outline (narrative + appendix)

7) Risks & Mitigations

  • Data gaps / dirty data: Weekly QA; block stage progression on missing fields; automated alerts
  • SLA non-compliance: Auto-alerts to managers; show adherence in weekly exec review; targeted enablement
  • Tool sprawl / integration delays: Prioritize KPI-linked integrations; timebox nice-to-haves; use interim exports
  • Change resistance: Exec sponsorship; quick wins; publicize wins; continual enablement
  • Attribution disputes: One primary model + secondary view; publish method notes in dashboard
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