Marketing Ops

Central command for marketing operations — routing questions, orchestrating campaigns, managing MarTech, and coordinating across all marketing functions.

Table of Contents

• Keywords

• Quick Start

• Skill Routing Matrix

• Campaign Orchestration

• MarTech Stack Management

• Marketing Automation Framework

• Data Management

• Attribution Framework

• Marketing Audit

• Best Practices

• Integration Points

Keywords

marketing ops, marketing operations, MarTech stack, marketing automation, campaign orchestration, skill routing, marketing coordination, data management, attribution, marketing technology, campaign management, workflow automation, lead management, marketing analytics, marketing infrastructure, CRM integration, email automation, lead scoring

Quick Start

Route a Marketing Question

• Identify what the user is trying to accomplish

• Match to the routing matrix below

• Route to the correct skill with context

• If multiple skills are needed, create an orchestration plan

Orchestrate a Campaign

• Check that marketing context exists (if not, create it first)

• Identify all skills needed for the campaign

• Sequence skills in the correct order

• Execute each phase, passing outputs to the next

• Measure results using campaign analytics

Skill Routing Matrix

Content Skills

User Says Route To Not This

"Write a blog post," "content ideas," "what should I write" Content Strategy Not Copywriting (that is for page copy)

"Write copy for my homepage," "landing page copy," "headline" Copywriting Not Content Strategy (that is for planning)

"Edit this copy," "proofread," "polish this" Copy Editing Not Copywriting (that is for writing new)

"Social media post," "LinkedIn post," "tweet" Social Content Not Content Strategy (that is for planning)

"Write an article end-to-end," "content production" Content Production Not Content Strategy (production has the full pipeline)

"Sounds too robotic," "make it human," "AI watermarks" Content Humanizer Not Copy Editing (that is for editorial quality)

"Marketing ideas," "brainstorm," "what else can I try" Marketing Ideas Not Content Strategy (that is for content specifically)

SEO Skills

User Says Route To Not This

"SEO audit," "technical SEO," "on-page SEO" SEO Specialist Not AI SEO (that is for AI search engines)

"AI search," "ChatGPT visibility," "Perplexity," "GEO" AI SEO Not SEO Specialist (that is traditional SEO)

Conversion Skills

User Says Route To Not This

"Landing page," "campaign page," "lead capture page" Landing Page Generator Not Copywriting (generator includes structure + copy)

"Brand guidelines," "style guide," "brand voice" Brand Guidelines Not Marketing Context (guidelines are implementation)

Channel Skills

User Says Route To Not This

"Paid ads," "Google Ads," "Meta ads," "ad campaign" Paid Ads Not Ad Creative (that is for copy, not strategy)

"Ad copy," "ad headlines," "ad variations," "RSA" Ad Creative Not Paid Ads (that is for campaign strategy)

"Cold email," "outreach," "prospecting email" Cold Email Not Content Production (cold email has different rules)

Strategy Skills

User Says Route To Not This

"Marketing context," "who is my customer," "ICP" Marketing Context Set up before other skills

"Marketing strategy," "how to market" Marketing Ideas Not Marketing Ops (ops is for execution routing)

"Psychology," "persuasion," "why people buy" Marketing Psychology Not Copywriting (psychology is the theory layer)

Campaign Orchestration

Campaign Type: Product/Feature Launch

Sequence:

1. Marketing Context (verify foundation exists)
2. Content Strategy (plan launch content)
3. Copywriting (write landing page and email copy)
4. Landing Page Generator (build the conversion page)
5. Ad Creative (create ad copy for paid promotion)
6. Paid Ads (set up campaign targeting and budget)
7. Social Content (create organic social posts)
8. Cold Email (targeted outreach to prospects)
9. Campaign Analytics (measure results)

Campaign Type: Content Marketing Sprint

Sequence:

1. Content Strategy (plan topics and calendar)
2. Content Production (research, write, optimize each piece)
3. Content Humanizer (polish for natural voice)
4. AI SEO (optimize for AI search citation)
5. Social Content (distribute across platforms)
6. Campaign Analytics (track performance)

Campaign Type: Lead Generation Blitz

Sequence:

1. Marketing Context (verify ICP and messaging)
2. Landing Page Generator (build conversion pages)
3. Ad Creative (generate ad variations)
4. Paid Ads (launch campaigns)
5. Cold Email (parallel outbound effort)
6. Campaign Analytics (measure and optimize)

Campaign Type: Brand Awareness

Sequence:

1. Marketing Context (define brand foundation)
2. Brand Guidelines (establish visual and verbal standards)
3. Content Strategy (plan thought leadership content)
4. Social Content (build social presence)
5. Content Production (create pillar content)
6. Campaign Analytics (measure reach and engagement)

Campaign Type: Conversion Optimization

Sequence:

1. Marketing Psychology (identify behavioral levers)
2. Copy Editing (audit existing page copy)
3. Copywriting (rewrite underperforming sections)
4. Landing Page Generator (redesign conversion pages)
5. Campaign Analytics (set up A/B tests and track results)

MarTech Stack Management

Core Stack Components

Category Purpose Common Tools Integration Priority

CRM Customer data management Salesforce, HubSpot, Pipedrive Critical

Marketing Automation Email, workflows, scoring HubSpot, Marketo, ActiveCampaign Critical

Analytics Traffic and behavior tracking GA4, Mixpanel, Amplitude Critical

Email Platform Email sending and deliverability SendGrid, Mailchimp, Customer.io Critical

Ad Platforms Paid advertising Google Ads, Meta Ads, LinkedIn Ads High

SEO Tools Keyword research and tracking Ahrefs, SEMrush, Moz High

Social Management Publishing and scheduling Buffer, Hootsuite, Sprout Social Medium

Content Management Content creation and hosting WordPress, Webflow, Ghost High

Attribution Multi-touch attribution Attribution App, Dreamdata Medium

ABM Account-based marketing Demandbase, 6sense, Terminus Medium (B2B)

Stack Evaluation Framework

When evaluating new tools:

Criterion Weight Scoring

Does it solve a validated problem? 30% Clear need (3), Nice to have (2), Speculative (1)

Does it integrate with existing stack? 25% Native integration (3), API available (2), Manual export (1)

Total cost of ownership 20% Under budget (3), At budget (2), Over budget (1)

Time to value 15% Under 1 week (3), 1-4 weeks (2), 4+ weeks (1)

Team capability to use it 10% Self-serve (3), Training needed (2), Expert required (1)

Rule: Never add a tool that does not integrate with your CRM. Disconnected data is worse than no data.

Stack Audit Checklist

• Every tool has a clear owner responsible for it

• Every tool connects to CRM or central data warehouse

• No overlapping tools doing the same job

• All contracts reviewed annually for cost optimization

• Data flows documented between tools

• Integration health monitored (failures flagged within 24 hours)

• Tool adoption measured (tools nobody uses should be cut)

Marketing Automation Framework

Automation Priority by Impact

Automation Impact Complexity Build First

Welcome/onboarding email sequence High Low Yes

Lead scoring High Medium Yes

Abandoned cart/trial follow-up High Low Yes

Event-triggered emails (usage milestones) High Medium Second priority

Lead routing to sales High Low Yes

Social media scheduling Medium Low Second priority

Reporting dashboards Medium Medium Second priority

Content personalization Medium High Third priority

Predictive lead scoring Medium High Third priority

Dynamic content insertion Low-Medium High Later

Lead Scoring Model

Signal Type Examples Score

Demographic fit Matches ICP (title, company size, industry) +10 to +25

Behavioral - high intent Visited pricing page, requested demo, viewed case study +15 to +25

Behavioral - engagement Opened 3+ emails, downloaded content, attended webinar +5 to +15

Behavioral - product Used free trial, reached activation milestone +20 to +30

Negative signals Competitor employee, student email, unsubscribed -10 to -50

Lead score thresholds:

• 0-25: Nurture (automated email sequences)

• 26-50: Marketing Qualified Lead (MQL) — deeper engagement

• 51-75: Sales Qualified Lead (SQL) — route to sales

• 76+: Hot lead — immediate sales outreach

Email Automation Sequences

Sequence Trigger Emails Duration

Welcome New signup 5-7 14 days

Onboarding Started trial 4-6 14 days

Re-engagement Inactive 30 days 3-4 21 days

Win-back Churned 3-5 30 days

Nurture Downloaded content 5-7 45 days

Upsell Reached plan limit 2-3 7 days

Referral 90 days active + high NPS 2 7 days

Data Management

Data Quality Framework

Dimension Definition How to Measure

Completeness Required fields are filled % of records with complete required fields

Accuracy Data matches reality Sample audit against source of truth

Consistency Same data, same format everywhere Cross-system comparison

Timeliness Data is current % of records updated within defined freshness window

Uniqueness No duplicate records Duplicate rate in CRM

Data Hygiene Schedule

Task Frequency Owner

Deduplicate CRM records Monthly Marketing Ops

Verify email addresses Before every campaign Marketing Ops

Update firmographic data Quarterly Marketing Ops

Clean inactive contacts Quarterly Marketing Ops

Audit UTM parameter consistency Monthly Marketing Ops

Review lead scoring accuracy Quarterly Marketing + Sales

Sync CRM with marketing automation Continuous (automated) System

UTM Parameter Standards

Consistent UTM tagging is foundational for attribution:

utm_source: [platform] — google, linkedin, facebook, email, partner-name utm_medium: [channel type] — cpc, organic, email, social, referral utm_campaign: [campaign name] — product-launch-q1, blog-promo-march utm_content: [variant] — headline-a, cta-blue, audience-cmo utm_term: [keyword] — for paid search only

Rules:

• Always lowercase

• Use hyphens, not spaces or underscores

• Document all campaign names in a shared registry

• Validate UTMs before launching any campaign

Attribution Framework

Attribution Models

Model How It Works Best For Limitation

First-touch 100% credit to first interaction Understanding acquisition channels Ignores nurture touchpoints

Last-touch 100% credit to final interaction Understanding conversion triggers Ignores awareness touchpoints

Linear Equal credit to all touchpoints Simple multi-touch understanding Treats all touches equally

Time-decay More credit to recent touchpoints Long sales cycles May undervalue awareness

Position-based (U-shaped) 40% first, 40% last, 20% middle Balanced view Arbitrary weighting

Data-driven ML-based weighting Sophisticated programs Requires large data volume

Attribution Implementation Checklist

• UTM parameters standardized and enforced

• All marketing channels tagged consistently

• CRM captures source/medium/campaign for every lead

• Conversion events defined and tracked

• Attribution model selected and documented

• Reporting cadence established (weekly + monthly)

• Channel ROI calculated and compared monthly

Marketing Audit

Full Marketing Audit Structure

Area What to Assess Key Questions

Strategy Positioning, ICP, messaging Is our positioning differentiated? Do we know our ICP?

Content Quality, quantity, performance Is content driving traffic and conversions?

SEO Rankings, technical health, content gaps Are we visible for target keywords?

Paid ROAS, CPA, channel mix Are paid campaigns profitable?

Email List health, engagement, automation Are sequences driving conversions?

Social Reach, engagement, brand consistency Are we building audience and trust?

MarTech Stack utilization, integration health Are our tools connected and used?

Data Quality, attribution, reporting Can we trust our data and attribution?

Audit Scoring

For each area, score 1-5:

Score Status Action

1 Not present Build from scratch

2 Basic but underperforming Significant improvement needed

3 Functional Optimize and iterate

4 Strong Maintain and scale

5 Best-in-class Protect and document

Best Practices

Context first, always — Check that marketing context exists before any marketing work. Everything works better with context.

Route precisely — A question routed to the wrong skill produces wrong-shaped output. Use the routing matrix.

Orchestrate, do not fragment — Multi-skill campaigns need a sequence plan. Ad hoc execution produces inconsistent results.

Own the data — Marketing ops is responsible for data quality. Bad data produces bad decisions.

Standardize UTMs — Inconsistent UTM parameters make attribution impossible. Enforce standards before launching campaigns.

Audit tools annually — Every tool should justify its cost and usage. Cut tools nobody uses.

Automate the repeatable — If you do it every week, automate it. Manual processes do not scale.

Document everything — Campaign playbooks, automation logic, data flows, tool configurations. Tribal knowledge is fragile.

Align with sales — Marketing ops and sales ops must share data definitions, lead scoring criteria, and attribution models.

Measure what matters — Track leading indicators (MQLs, pipeline velocity) alongside lagging indicators (revenue, ROI).

Integration Points

• Marketing Context — Foundation for all marketing operations. Create this first.

• Campaign Analytics — Use for measuring outcomes of orchestrated campaigns.

• All Marketing Skills — Marketing Ops routes questions and orchestrates workflows across the full skill ecosystem.

• Content Strategy — Coordinate content calendar with campaign schedule.

• Paid Ads — Coordinate paid campaigns with organic efforts and landing pages.

• Cold Email — Coordinate outbound with inbound campaigns to avoid audience overlap.