A tailored course, built for your situation
Influence Across Marketing Tech Decisions
Build authority in data-led marketing strategy and shape vendor and platform choices at scale
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Who this is for
Senior marketing data scientist leading analytics strategy and platform input within a product-driven tech organization
Who this is not for
Entry-level analysts, general marketers without data responsibility, or practitioners focused solely on creative or campaign execution
What you walk away with
- Lead vendor selection discussions with structured evaluation frameworks
- Gain peer recognition as the go-to analyst for marketing technology trade-offs
- Shape internal standards for marketing data pipelines and tool integrations
- Present with authority in cross-functional architecture reviews
- Build reusable decision briefs that accelerate future tooling debates
The 12 modules (with all 144 chapters)
Module 1. Positioning Data Science in Vendor Talks
Establish credibility early in procurement cycles by aligning data needs with platform capabilities. Learn how to frame technical requirements as business enablers, not constraints.
12 chapters in this module
- Defining your role in tool selection
- Mapping data needs to vendor capabilities
- Asking the right technical questions
- Documenting evaluation criteria
- Aligning with procurement timelines
- Anticipating integration blockers
- Translating model requirements
- Benchmarking accuracy claims
- Identifying data leakage risks
- Prioritizing extensibility
- Scoping pilot feasibility
- Positioning early in RFPs
Module 2. Building Decision Briefs That Stick
Create concise, evidence-backed memos that withstand peer review and executive scrutiny. Turn analysis into actionable recommendations that drive consensus.
12 chapters in this module
- Structuring the one-page brief
- Lead with business outcome
- Embedding data quality notes
- Visualizing trade-offs clearly
- Naming hidden costs
- Including peer feedback loops
- Calling out experiment paths
- Flagging compliance edges
- Versioning for reuse
- Archiving assumptions
- Citing past decisions
- Linking to roadmap
Module 3. Influencing Without Authority
Navigate cross-functional dynamics where influence matters more than hierarchy. Master the art of earning buy-in from product, engineering, and marketing leads.
12 chapters in this module
- Finding natural allies early
- Speaking engineering’s language
- Framing costs as shared risks
- Highlighting scalability limits
- Timing input for impact
- Using data to de-escalate
- Avoiding overreach claims
- Respecting domain boundaries
- Offering collaborative edits
- Building reputation for fairness
- Documenting influence paths
- Measuring adoption
Module 4. Vendor Evaluation Frameworks
Adopt proven models for comparing platforms objectively. Customize checklists for marketing analytics, attribution, and customer journey tools.
12 chapters in this module
- Defining scoring dimensions
- Weighting accuracy vs cost
- Assessing API reliability
- Evaluating data retention
- Testing export flexibility
- Reviewing audit trail depth
- Measuring learning curve
- Checking for lock-in
- Validating SLA claims
- Stress-testing documentation
- Assessing community strength
- Rating upgrade frequency
Module 5. Negotiating Technical Trade-offs
Lead conversations where data fidelity, speed, and cost collide. Develop clear reasoning to justify recommendations under constraints.
12 chapters in this module
- Clarifying the primary goal
- Identifying acceptable loss
- Quantifying uncertainty cost
- Comparing model drift risks
- Assessing latency impact
- Estimating rework triggers
- Weighing build vs buy
- Naming scalability ceilings
- Balancing agility and stability
- Projecting long-term TCO
- Documenting rationale
- Revisiting assumptions
Module 6. Designing Pilot Programs
Structure small-scale tests that generate reliable insights without overcommitting. Turn pilots into compelling evidence for broader adoption.
12 chapters in this module
- Setting clear success markers
- Choosing representative data
- Defining test duration
- Isolating variables
- Tracking performance drift
- Measuring team adoption
- Calculating improvement delta
- Comparing to baselines
- Identifying failure modes
- Documenting edge cases
- Reporting confidence levels
- Deciding next steps
Module 7. Integrating Data Quality Gates
Embed validation steps into tooling decisions to prevent downstream breakdowns. Ensure new platforms uphold data integrity standards from day one.
12 chapters in this module
- Defining baseline quality
- Checking schema stability
- Validating transformation logic
- Monitoring drift detection
- Testing failure recovery
- Assessing log completeness
- Auditing lineage traceability
- Enforcing naming standards
- Securing access layers
- Verifying backup cycles
- Testing restore speed
- Documenting exceptions
Module 8. Aligning with Product Roadmaps
Shape internal development priorities by linking data needs to product outcomes. Position analytics as a driver of roadmap decisions.
12 chapters in this module
- Mapping data to features
- Identifying instrumentation gaps
- Prioritizing tracking needs
- Estimating effort for capture
- Defining success metrics
- Synchronizing release cycles
- Influencing backlog items
- Advocating for schema changes
- Proposing telemetry upgrades
- Linking to experimentation
- Measuring adoption impact
- Updating forecasting models
Module 9. Scaling Attribution Models
Improve marketing efficiency by shaping platform decisions that support accurate, adaptable attribution. Move beyond last-click thinking.
12 chapters in this module
- Defining the attribution need
- Choosing model types
- Assessing data completeness
- Evaluating tool flexibility
- Testing multi-touch accuracy
- Validating cross-channel flow
- Measuring incrementality
- Handling dark traffic
- Benchmarking vendor claims
- Integrating with spend data
- Adjusting for seasonality
- Documenting model decay
Module 10. Managing Platform Dependencies
Anticipate risks when marketing tools rely on external systems. Build resilience into integration choices and data handoffs.
12 chapters in this module
- Mapping dependency trees
- Identifying single points of failure
- Assessing uptime history
- Reviewing SLAs objectively
- Planning for API changes
- Testing failover paths
- Monitoring deprecation signals
- Evaluating vendor longevity
- Designing abstraction layers
- Building fallback logic
- Documenting risk registers
- Updating contingency plans
Module 11. Documenting Architecture Choices
Create lasting records of why decisions were made. Turn tribal knowledge into institutional memory that strengthens future influence.
12 chapters in this module
- Capturing key criteria
- Recording participant input
- Archiving rejected options
- Linking to business goals
- Noting performance constraints
- Highlighting risk assumptions
- Updating as systems evolve
- Sharing with new hires
- Connecting to security reviews
- Including legal notes
- Tagging by domain
- Making searchable
Module 12. Building Reusable Influence Playbooks
Turn individual wins into repeatable patterns. Create internal guides that amplify your voice across teams and over time.
12 chapters in this module
- Identifying transferable patterns
- Template decision briefs
- Building approval workflows
- Standardizing evaluation scales
- Creating onboarding kits
- Sharing lessons learned
- Updating for new tools
- Measuring playbook usage
- Gathering peer feedback
- Versioning for clarity
- Linking to outcomes
- Scaling beyond one team
How this maps to your situation
- When evaluating a new analytics platform
- Before joining a cross-functional architecture review
- When building a case for tool replacement
- During early-stage roadmap planning
Before vs. after
Before
Inputting into tooling decisions without clear frameworks or documented influence paths
After
Leading vendor evaluations and shaping platform standards with confidence and peer recognition
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 3 hours per module, designed for working professionals to complete one module per week.
How this compares to the alternatives
Unlike generic data science courses, this program focuses on the specific intersection of marketing data, platform selection, and cross-functional influence, areas where technical expertise meets strategic decision-making.
Frequently asked
Who is this course designed for?
Senior marketing data scientists and analytics leads who influence or lead platform and vendor decisions in product-driven organizations.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I receive practical tools I can use immediately?
Yes. Every module includes downloadable templates, worked examples, and a hand-built implementation playbook you can apply directly to current projects.
$199 one-time. Approximately 3 hours per module, designed for working professionals to complete one module per week..
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours