Automate campaign and export work
Run ad-platform ingestion, campaign QA, budget pacing, client reporting, and large outbound exports as visible workflows instead of manual pulls.
Run campaign and customer data workflows from source to action
Run the campaign and customer data workflow behind ad platform ingestion, customer onboarding, exports, QA, and AI context.
Mage
I created the marketing workflow and prepared it for review.
- pull ad platform, customer, warehouse, CRM, ecommerce, and partner-file data
- validate campaign taxonomy, PII, schemas, budgets, and delivery rules
- publish reports, exports, alerts, APIs, queues, dashboards, and approved actions
- register campaign and customer context for agents and operators
You can inspect the source pulls, validation checks, approval state, delivery outputs, and context artifacts before teams or agents act.
Mage helps marketing, advertising, and media teams replace connector gaps and manual exports with workflows that normalize data, validate rules, deliver outputs, and prepare context for campaign AI.
Overview
Modernize marketing data workflows from campaign operations to AI
Mage helps marketing, advertising, and media teams replace connector gaps and manual exports with workflows that normalize data, validate rules, deliver outputs, and prepare context for campaign AI.
Modernize custom marketing logic
Turn campaign taxonomy, customer schema mapping, connector replacement, and activation logic into reusable blocks and templates.
Prepare campaign AI context
Give campaign agents trusted context: spend, outcomes, pacing, taxonomy rules, customer mappings, and approved action boundaries.
Use cases for marketing, advertising, and media
Each use case starts with work marketing and media teams already run: campaigns that need pacing, onboarding that needs mapping, and connectors that need replacement.
Campaign optimization and pacing agent
Run ad platform ingestion, campaign QA, budget pacing, exception routing, recommendations, and human approvals in one visible workflow.
Meta, Google, TikTok, Microsoft, project budgets, naming rules, outcomes, and finance metadata feed Mage QA, pacing, exception, and recommendation workflows, with human approval before action.
Campaign signals
MetaGoogleTikTokMicrosoft
Budgets · naming rules · outcomes · financeTikTok124%
Google61%
Meta97%
RecommendationShift $42k to GooglePolicy and finance checks passed
Human approval
Buyer reviewApprove move
Action staged
Marketing data workflows break where tools stop
The workflows break where marketing and media teams already feel the pain: connectors are brittle, onboarding is custom, campaign AI lacks trusted context, and outputs need governed delivery.
Move Stripe customer data into BigQuery every weekday before 8am.
Stripe
Ad connectors are brittle. Ad platform connectors are brittle, expensive, or tied to fragile credentials that fail outside the team that set them up.
Why did revenue freshness drop?
The Stripe ingest arrived 42 minutes late, delaying the customer revenue model.
Stripe ingest delayed 42 min
Onboarding is custom. Client and customer onboarding requires custom schema mapping, PII detection, chunking, validation, and approval workflows.
Customer syncRun delayed
Inspect run
Late source foundRetry availableOpen logs
Campaign AI needs trusted context. Campaign optimization AI needs spend, taxonomy, budget, outcomes, customer mappings, and approval boundaries before it can recommend action.
Pipeline
Table
Chart
File
AnswerRevenue freshness dropped after the Stripe ingest arrived late.
Outputs must reach action surfaces. Client reports, large exports, APIs, queues, dashboards, alerts, and campaign actions need governed delivery, not another table-only handoff.
One marketing workflow becomes governed execution
Mage turns custom campaign, customer, export, and recommendation data work into visible workflows with checks, handoffs, and reusable context.
Run our campaign and customer data workflow. Pull ad platform and customer data, validate taxonomy and schemas, deliver reports and exports, and prepare trusted context for campaign agents.
The marketing workflow is ready to review. I connected platform and customer sources, added QA and mapping checks, prepared delivery outputs, and registered reusable campaign context.
Customer activity
3open support tickets34 daysto renewal
Ask. Start with the campaign, connector, customer onboarding, export, QA, or recommendation workflow that keeps slipping.
Sequence. Mage sequences ad platforms, customer warehouses, CRMs, ecommerce feeds, partner files, credentials, and business rules.
Validate. Checks catch schema drift, credential failures, PII risk, taxonomy gaps, budget pacing issues, and broken exports.
Map. Mage turns campaign taxonomy, customer schema mapping, activation logic, and connector transformations into reusable workflow blocks.
Deliver. Outputs reach dashboards, reports, APIs, message queues, storage, alerts, campaign tools, and approved action paths.
Context. Taxonomy, mappings, PII tags, approvals, run history, and outcome context become reusable for teams and agents.
What Mage governs across marketing workflows
Ad and customer source orchestration Run owned pulls across Meta, Google, TikTok, Microsoft, CRM, ecommerce, warehouse, S3, CSV, and partner sources.
Campaign and schema QA Check campaign taxonomy, naming rules, budgets, PII, schema mappings, freshness, credentials, and delivery readiness.
Reusable workflow templates Move customer onboarding, connector transformations, campaign rules, and activation logic out of vendors and scripts.
Action surfaces Deliver reports, dashboards, outbound exports, platform APIs, queues, alerts, storage handoffs, and approved actions.
Context registration Register campaign taxonomy, customer mappings, PII tags, approvals, run history, recommendation reasons, and exceptions.
Campaign AI context Expose scoped spend, outcome, pacing, taxonomy, customer, and mapping context to campaign agents and operators.
Start a trial
Talk with Mage about production data workflows, AI-ready context, managed deployments, and security requirements for your team.