Agile Marketing with SAFe®

Foundations

Agile Marketing

Applying Agile values and practices to marketing so teams deliver value in short cycles, respond quickly to data, and continuously improve campaigns.

Why Agile Marketing

Markets and channels change fast; iterative, data-driven marketing adapts quicker than long, fixed annual plans.

Agile Marketing Manifesto

A set of values favoring validated learning, customer focus, adaptive campaigns, experimentation, and collaboration over big-bang plans.

Marketing in SAFe

Positioning marketing as part of the value stream, aligned with product and the enterprise cadence so campaigns support overall value delivery.

Teams

Agile Marketing Team

A cross-functional team with the skills to plan, create, launch, and measure marketing work, organized to deliver value together.

Roles

Typically a marketing owner (prioritizes the backlog), a team facilitator/Scrum Master, and team members with content, channel, and analytics skills.

Cross-Functional Collaboration

Bringing content, design, digital, and analytics together so campaigns are delivered end to end without silos.

Backlog

Marketing Backlog

A prioritized list of campaigns, content, and experiments the team will work on, ordered by value and strategy.

Marketing User Stories

Backlog items framed around audience needs and outcomes, with clear acceptance criteria.

Prioritization

Ordering marketing work by expected value, cost of delay, and effort so the highest-impact work happens first.

Backlog Refinement

Keeping the top of the backlog detailed, estimated, and ready so the team can pull work smoothly.

Cadence

Iterations / Sprints

Short, fixed cycles in which the marketing team plans, produces, launches, and reviews work.

Kanban for Marketing

Visualizing marketing work and limiting WIP to manage flow, useful for continuous campaign and content pipelines.

Marketing Cadence and Events

Regular planning, standups, reviews, and retrospectives that create rhythm and continuous improvement.

PI Planning Alignment

Aligning marketing plans with the ART's Program Increment so campaigns coordinate with product launches and releases.

Experimentation

Data-Driven Marketing

Using metrics and analytics to decide what to do next rather than relying on opinion or fixed annual plans.

Hypothesis-Driven Campaigns

Framing campaigns as testable hypotheses with expected outcomes, then measuring to learn and adjust.

A/B Testing

Comparing variations to learn which performs better, enabling continuous optimization.

Build-Measure-Learn

A cycle of launching, measuring results, and learning to guide the next iteration of marketing work.

Minimum Viable Campaign

Launching a small, testable version of a campaign to validate before investing heavily.

Customer

Customer Centricity

Grounding marketing in real audience needs and behavior using personas, journeys, and feedback.

Personas

Research-based archetypes of target audiences that keep campaigns focused on real needs.

Customer Journey

Mapping the stages audiences move through so marketing delivers the right message at the right moment.

Measurement

Marketing Metrics

Leading and lagging indicators — engagement, conversion, pipeline, ROI — used to steer and prove marketing value.

Flow Metrics

Throughput, cycle time, and WIP measures that reveal how efficiently marketing work moves and where it stalls.

Continuous Improvement

Using retrospectives and data to steadily improve marketing processes and results.