Marketing AI
AI-powered marketing, analytics, and automation.
Build measurable growth systems: attribution, MMM, campaign intelligence, and ethical automation — powered by local-first AI workflows.
What you can build
Attribution + marketing mix models.
Lead scoring + CRM enrichment.
Campaign QA + creative testing.
Core systems
MMM pipelines with local data + open datasets.
Audience segmentation with vector search.
Creative analysis with multimodal models.
Experiment planning with automation guardrails.
Evidence-first workflow
Start with clean data, validate impact, and document assumptions. Use the AI pipeline to index data sources, generate embeddings, and keep experiments reproducible.
Related hubs
Pair marketing AI with courses, datasets, and the evidence timeline.
Marketing AI FAQs
What makes this marketing AI stack different? Local-first workflows with evidence-linked data and reproducible pipelines.
Can I run this without cloud APIs? Yes. The pipeline prefers local models and only falls back to remote providers if configured.
Where do the datasets come from? From the Resource Vault and Open Data catalogs, plus your own indexed sources.
How do I measure impact? Use MMM, attribution tests, and automation logs with clear success metrics.