Description

A focused course, tailored for you

Building Modern AI-Driven B2B Marketing Automation (Account-Based Marketing + Intent Data + AI Content + Attribution + Privacy Compliance)

Build the modern AI-driven B2B marketing automation capability in 10 weeks. Account-based marketing + intent data + AI content + attribution + privacy compliance.

B2B marketing automation has shifted from lead-scoring funnels into AI-driven account-based marketing, intent-data orchestration, AI-generated content at scale, multi-touch attribution under privacy constraints, and revenue-operations alignment. Marketing operators who build the modern capability take the senior pipeline work. Here is the 10-week build.

$199 one-time

Tailored to your situation. Access within 24 hours. 30-day money-back.

Includes a hand-built implementation playbook delivered alongside course access, generated for your specific situation.

Why this course

B2B marketing automation has shifted from classic lead-scoring funnels (Marketo + Eloqua + Pardot patterns) into AI-driven account-based marketing (Demandbase + 6sense + RollWorks + Terminus + ZoomInfo MarketingOS), intent-data orchestration (Bombora + G2 Buyer Intent + TrustRadius + Gartner Peer Insights + LinkedIn signals + first-party intent), AI-generated content at scale (Writer + Jasper Enterprise + Smartwriter + Lavender + Outreach AI + in-house GenAI), multi-touch attribution under privacy constraints (deprecation of third-party cookies, iOS 14+ ATT, EU GDPR / UK GDPR / state privacy laws), and revenue-operations alignment (marketing-sales-CS alignment, pipeline-conversion modelling, MQL-SQL-SAL-Opp-CW funnel modernisation, ABX framework).

Marketing operators (Director, VP, Senior Manager Marketing Ops, Demand Gen Lead, ABM Lead, Revenue Operations Lead) who build the modern capability take the senior pipeline work. Operators who stay on classic lead-scoring patterns watch the senior work shift to peers.

This course teaches the 10-week build of modern AI-driven B2B marketing automation: ABM strategy, intent-data orchestration, AI content production at scale, multi-touch attribution under privacy, revenue-operations alignment, technology stack, and the executive engagement model. Twelve modules with deliverables. Plus a hand-built implementation playbook for your specific firm and ICP.

What you walk away with

A documented ABM strategy.
An intent-data orchestration framework.
An AI content production framework at scale.
A multi-touch attribution framework under privacy constraints.
A revenue-operations alignment framework.
A modern marketing-technology stack architecture.
An executive engagement model.
A 10-week build plan.

The 12 modules

Module 1. B2B marketing automation landscape 2026

Detailed walkthrough of the B2B marketing automation landscape in 2026: ABM platform consolidation (Demandbase + 6sense + RollWorks + Terminus + ZoomInfo MarketingOS), intent-data vendor landscape (Bombora + G2 + TrustRadius + Gartner Peer Insights + LinkedIn + first-party), AI-content vendor landscape (Writer + Jasper Enterprise + Smartwriter + Lavender + Outreach AI + in-house GenAI), CDP landscape (Segment + mParticle + Tealium + RudderStack + Lytics + Treasure Data), MAP landscape (Marketo + Eloqua + HubSpot + Pardot + Mautic + ActiveCampaign + Customer.io + Iterable + Braze), and the strategic-level decisions facing operators.

Module 2. ABM strategy framework

Build the ABM strategy framework: ICP definition (firmographic + technographic + intent), target-account-list framework, account-tier framework (Tier 1 1:1, Tier 2 1:Few, Tier 3 1:Many), per-tier engagement plan, per-tier content plan, per-tier channel plan, per-tier success metric framework, and the integration with broader marketing strategy. Three ABM patterns at peer firms.

Module 3. Intent-data orchestration framework

Build the intent-data orchestration framework: third-party intent integration (Bombora, G2 Buyer Intent, TrustRadius, Gartner Peer Insights, LinkedIn signal data), first-party intent integration (website behaviour, content engagement, email engagement, product-usage signal where SaaS), intent-signal blending, intent-driven workflow triggers, intent-driven content selection, intent-driven channel selection, and the integration with broader marketing automation.

Module 4. AI content production at scale

Build the AI content production framework at scale: voice architecture, brief-to-draft pattern with retrieval grounding, draft-to-review pattern with human-in-the-loop, review-to-publish pattern, content-block library for personalisation, account-specific content variant generation, brand-safety enforcement, accuracy enforcement, accessibility enforcement, compliance enforcement, and the integration with broader content operations. Three AI content patterns at peer firms.

Module 5. Multi-touch attribution under privacy

Build the multi-touch attribution framework under privacy constraints: privacy-first attribution (server-side tracking, first-party data, hashed PII), MTA model selection (linear, time-decay, position-based, data-driven), incrementality testing, lift studies, MMM integration (Marketing Mix Modelling for periodic ground-truth), and the integration with broader analytics. The framework that survives third-party cookie deprecation and iOS ATT.

Module 6. Revenue-operations alignment

Build the revenue-operations alignment framework: marketing-sales-CS alignment cadence, SLA framework (lead-routing, response-time, follow-up cadence), funnel-modernisation (MQL-SQL-SAL-Opp-CW or ABX equivalent), pipeline-conversion modelling, revenue-attribution model, and the integration with broader revenue operations.

Module 7. Modern marketing-technology stack

Build the modern marketing-technology stack: ABM platform selection, intent-data vendor selection, CDP selection, MAP selection, CRM selection (Salesforce Sales Cloud, Microsoft Dynamics 365, HubSpot, Pipedrive), revenue-intelligence platform selection (Gong, Chorus, Salesloft, Outreach, Clari, Aviso), AI-content platform selection, attribution platform selection (Bizible, Dreamdata, Allocadia), and the integration architecture.

Module 8. Privacy and consent framework

Build the privacy and consent framework: EU GDPR / UK GDPR compliance, state privacy laws compliance (CCPA/CPRA, CDPA, CPA, UCPA, CTDPA, ICDPA, OCPA, TDPSA, FDBR, MTCDPA), CASL compliance for Canadian operations, AU Privacy Act compliance, Brazil LGPD compliance, consent-management platform selection (OneTrust, TrustArc, Cookiebot, Termly, Iubenda), and the integration with broader compliance.

Module 9. Demand-gen campaign framework

Build the demand-gen campaign framework: campaign-design pattern, channel-mix optimisation (paid search, paid social, display, content syndication, webinar, podcast, industry-event), creative-rotation framework, A/B testing infrastructure, campaign-measurement framework, and the integration with broader demand generation.

Module 10. ABM-channel framework

Build the ABM-channel framework: 1:1 ABM channel patterns (custom landing pages, custom content, direct mail, executive-engagement, gifting), 1:Few ABM channel patterns (cluster-personalised campaigns, vertical-specific content, vertical-specific events), 1:Many ABM channel patterns (account-tier ad-targeting, account-tier email campaigns), and the integration with broader channel mix.

Module 11. Executive and board engagement

Build the executive and board engagement: CMO partnership, CRO partnership, CEO engagement on pipeline metrics, board-engagement on marketing ROI, and the integration with broader executive cadence. The engagement that drives marketing-team funding and authority.

Module 12. Your 10-week build plan

Week-by-week plan with weekly deliverables. Weeks 1-2: B2B marketing automation landscape + ABM strategy framework. Weeks 3-4: intent-data orchestration framework + AI content production framework at scale. Weeks 5-6: multi-touch attribution under privacy + revenue-operations alignment. Weeks 7-8: modern marketing-technology stack + privacy and consent framework. Weeks 9-10: demand-gen campaign framework + ABM-channel framework + executive engagement. Deliverable: modern AI-driven B2B marketing automation capability.

How this addresses your situation

Specific modules that map to what you said you are dealing with.

Module 1 covers the landscape.

Modules 2 to 4 produce ABM strategy, intent-data orchestration, and AI content production.

Module 5 covers multi-touch attribution.

Module 6 covers revenue-operations alignment.

Module 7 covers the marketing-technology stack.

Module 8 covers privacy and consent.

Module 9 covers demand-gen.

Module 10 covers ABM channels.

Module 11 covers executive engagement.

Module 12 covers the 10-week build plan.

What you get with this course

The 12-module course delivered as text plus downloadable templates.
Templates and worked examples for ABM strategy framework, intent-data orchestration framework, AI content production framework, multi-touch attribution framework, revenue-operations alignment framework, modern marketing-technology stack, privacy and consent framework, demand-gen campaign framework, ABM-channel framework, executive and board engagement.
A hand-built implementation playbook generated for your specific firm and ICP.
Three worked examples of modern AI-driven B2B marketing automation at peer firms.
Scripted talking points for the CMO and CRO engagement.

What you will have in hand by Day 1, Week 1, Month 1

Day 1: ABM strategy framework scaffold drafted.

Week 4: Intent-data orchestration + AI content production designed.

Week 8: Multi-touch attribution + revenue-operations + privacy framework operational.

Week 10: Modern capability in operation.

Before and after

Before

Your marketing operations practice handles classic lead-scoring funnels. ABM is talked about but not orchestrated. Intent data is patchy. AI content production is reactive. Attribution under privacy constraints is unclear. Senior pipeline work goes to peers shipping the modern capability.

After

A modern AI-driven B2B marketing automation capability is in operation. ABM strategy framework, intent-data orchestration framework, AI content production framework at scale, multi-touch attribution framework under privacy constraints, revenue-operations alignment framework, modern marketing-technology stack, privacy and consent framework, demand-gen campaign framework, ABM-channel framework, executive and board engagement are all designed.

What happens if you do not address this

Marketing operators without the modern capability miss senior pipeline work. Third-party cookie deprecation, iOS 14+ ATT, EU GDPR enforcement, and state privacy laws all compress classic attribution patterns.

Who it is for

For Marketing Ops directors, VP Marketing Ops, Senior Marketing Ops managers, Demand Gen leads, ABM leads, and Revenue Operations leaders at B2B SaaS, B2B services, B2B fintech, B2B healthtech, and B2B industrial firms.

Who this is NOT for. Pure B2C marketers without B2B-pipeline scope. Marketers at firms with no B2B business. Pure brand marketers without lifecycle scope.

How it arrives

Text-based course via LMS, plus downloadable templates and worked examples and the hand-built implementation playbook.

Time investment. Roughly 18 hours of reading and 60 to 120 hours of marketing-ops-leader effort across the 10-week build.

Why $199 is the right number

External B2B-marketing-modernisation consultants (Big4 marketing practices, specialist firms like SiriusDecisions now Forrester, TOPO now Gartner, Heinz Marketing, Salesforce.org Marketing Cloud consulting, HubSpot Diamond Partners) charge $200K-$1M for marketing-automation modernisation programmes. AI-content vendors (Writer Enterprise, Jasper Enterprise) charge $50K-$500K/year. ABM-platform implementations run $50K-$500K/year. $199 buys the focused playbook plus the implementation document for your specific firm and ICP.

FAQ

Will this replace hiring a marketing-automation consultant?

Partially. It teaches the modern capability. You may still want specialist input for complex ABM-platform implementations.

What if my firm is early-stage (Series A/B)?

Modules 2, 4, and 7 cover early-stage-anchored patterns.

Does this cover product-led-growth (PLG) attribution specifically?

Module 5 covers PLG-anchored attribution.

What about industry-vertical-specific ABM (financial services, healthcare, manufacturing)?

Modules 2, 3, and 10 cover vertical-specific patterns.

What is in the implementation playbook for me specifically?

ABM strategy tailored to your firm's ICP; intent-data orchestration matched to your specific buying journey; a 10-week build plan.

30-day money-back guarantee. If after a week of working through the materials this is not what you needed, reply to the receipt email and a full refund is processed. No questions, no forms.

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.