Data governance

Standardize campaign and creative names automatically, enforce taxonomy across teams and regions, and turn every naming convention into a reporting dimension.

Trusted to deliver the most extensive data, for optimized campaign performance

THE SINGULAR PROMISE

Reporting is only as good as the naming behind it

Campaign and creative names are doing more work than most teams realize. They encode geo, audience, format, test variant, and partner. When that encoding is inconsistent, every dashboard, every ROAS calculation, every optimization decision is downstream of someone’s typo. Singular’s data governance makes the encoding automatic and the enforcement structural.

Eliminate accidental discrepancies

Standardize your taxonomy across every channel, team, and region. Finance, BI, and growth interpret the data the same.


Save UA managers from naming convention purgatory

Automatic generation of campaign and creative names from your taxonomy schema. No more 40-character internal docs nobody reads.


Turn every name into a reporting dimension

Geo, audience, format, partner, variant: anything you encode automatically parsed into custom reporting dimensions you can slice on.


Enforce structure without slowing teams down

Templates and required fields stop bad names at the source instead of cleaning them up after the fact. Onboard new team members in minutes.


Adapt as your strategy changes

Schemas evolve with your business. Add a new dimension, retire an old one, update taxonomy globally without breaking historical reporting.


Plug it into the rest of your stack

Pull schemas and codes through the Data Governance API. Combine Singular’s automation with your in-house tools, BI, and warehouse.

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MARKETING TOOLKIT

Everything you need to govern marketing data at scale

The end-to-end attribution and analytics platform for driving faster growth with smarter ROl insights, powering your team in the age of AI.

DATA FOUNDATION

Build taxonomy schemas your team will actually follow

Define naming conventions once with templates that specify required fields, formats, and value lists. Onboarding a new manager doesn’t mean another lecture about how campaigns get named, the system enforces it.

DATA FOUNDATION

Generate governance codes automatically

Every campaign and creative name created through Singular is coded by your schema. Codes appear in network dashboards, flow back into reporting, and unlock parsed dimensions automatically.

OMNICHANNEL MEASUREMENT

Surface custom reporting dimensions from encoded data

The geo, audience, format, partner, and test variant inside your campaign names become first-class reporting dimensions. Slice ROAS, retention, and LTV by anything you’ve ever encoded, no manual tagging.

OMNICHANNEL MEASUREMENT

Govern across every channel, every team, every region

Singular enforces taxonomy across paid social, search, programmatic, affiliate, and offline campaigns. Local teams get autonomy within structure. Global teams get reporting that actually rolls up.

DATA FOUNDATION

Evolve schemas without breaking history

Add a new dimension, retire an old one, update naming rules globally. Singular versions your taxonomy so historical reporting stays accurate while new campaigns adopt the new structure.

ACTIVATION

Plug governance into your stack with the API

Query taxonomy schemas, generate codes, and validate names through Singular’s Data Governance API. Combine automation with your in-house tools, then push clean dimensions to your warehouse through Marketing ETL.

HEAR THEIR VOICES

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GOT QUESTIONS?

Data governance FAQ

Marketing data governance is the set of standards, schemas, and automated controls that keep campaign data consistent across teams, channels, and regions. It ensures every campaign name, creative name, and metadata field follows a predictable structure so reporting, attribution, and analytics tools can read the data the same way. Without governance, marketers can’t reliably slice marketing analytics by geo, audience, or format because the underlying names don’t match. Singular automates governance so the structure is enforced at creation, not patched in reporting.

Campaign and creative names carry context: geo, audience, format, test variant, partner, language. When that context is encoded inconsistently across teams, every downstream report inherits the inconsistency. Reconciliation eats analyst time, optimization decisions get made on partial data, and the BI team stops trusting marketing dashboards. Singular’s data governance enforces structure at the point of campaign creation, so reporting reflects strategy instead of typos.

A taxonomy schema is a customizable template that defines how campaign and creative names are structured: which fields are required, what values are allowed, and in what order. A governance code is the unique identifier Singular generates from each name based on its schema. When the code travels with the campaign through ad networks and reports back to Singular, it lets the platform automatically parse encoded fields into reporting dimensions across every connected network.

Singular validates names against the schema at creation. Bad names never enter the system: required fields are enforced, and allowed values are restricted to dropdowns or controlled lists. Schemas managed centrally but inherited locally: the global team sets the structure while regional teams populate values for their markets. Updates to the schema apply forward without breaking historical reporting.

Reporting accuracy improves because every dimension is generated, not typed. Optimization improves because UA managers can slice performance by audience, format, partner, and variant without manual tagging or post-hoc cleanup. ROI calculation improves because cost data, attribution data, and creative performance can all be joined on consistent dimensions, including creative-level performance through Creative IQ.

Yes. Once Singular parses your governance codes into custom reporting dimensions, the dimensions flow through reporting, the API, and Marketing ETL to Snowflake, BigQuery, Redshift, Databricks, and any major destination. Your BI team gets clean, standardized, dimensional data without re-engineering it on the warehouse side.