Theodyx

How data teams turn scattered data into decisions the business can act on with Theodyx

Audience signals scatter across platforms, campaigns, and commerce. Theodyx's audience intelligence practice, running on UmbraOS, brings them into one consent-verified picture your business can act on.

“What shifted in our audience after the spring launch, and which creators drove it?”

Audience intelligence across the sectors where creators move culture.

Fashion & beauty
Gaming
Music
Food
Sports
Family

Less assembling. More answering.

One picture, not twelve exports

UmbraOS holds creator, campaign, and audience data in one ontology, so analysis starts at the question instead of the join.

Consent-verified by design

Every signal is used with permission. Theodyx honors Global Privacy Control and runs a cookieless posture, so your insights stand on defensible ground.

Analysts analyze

Theodyx handles collection, hygiene, and structure. Your team spends its time on interpretation and the decision that follows.

What data teams ask Theodyx

AUDIENCE PERFORMANCE

Know which segments moved, and why

“Show how our core segments shifted over the spring campaign and which creator partnerships drove the change.”

CAMPAIGN DIAGNOSIS

Find the week-three dip

“Engagement dropped in week three of this campaign. Show what changed, where, and for whom.”

KPI REPORTING

The monthly report, ready before the meeting

“Build the monthly partnership report: reach, engagement, and conversion by market and by practice.”

SIGNAL MONITORING

Watchlists that flag what matters

“Monitor these five campaigns and flag any audience shift big enough to change a decision.”

Built for the data you already have

How UmbraOS connects →
Platform analytics
Social engagement
Commerce
Streaming
Web analytics
Email & CRM
Data warehouse
Spreadsheets
BI dashboards
Payments
Surveys & panels
Rights & agreements

How we think about data

The posture behind the practice, in one sentence.

“Intelligence without consent is surveillance with better charts. We only work with data people have agreed to share, and we think the work is better for it.”

Lisa A. Sikes, President & Director, Theodyx

Keep going

Three places data teams usually look next.

Make the data decide something

If the dashboards are full and the decisions are still slow, that is the problem we work on. Tell us what you're trying to answer.