For a show, album, podcast, sports franchise, product line, or brand: Marble connects the public footprint, separates observation from inference, and translates impact into defensible value ranges. No integration, campaign, or brief required.
The click-blind analytics problem
Traditional attribution sees the activity that carries a tracking link. Properties move through official releases, creator content, press, podcasts, search, conversation, and memory. When those signals stay separate, the investment decision stays incomplete.
Conceptual model
From partial attribution to property intelligence
Click-only view
Tracked link
One visible response
Whole-property view
Owned
Connected signal
Partner
Connected signal
Earned
Connected signal
Discovered
Connected signal
One evidence stream → impact → defensible value
Start with the thing you own
It can contain many releases, campaigns, creators, channels, and commercial moments—without being reduced to any one of them.
Connect episodes, talent, clips, press, and audience movement.
Read releases, appearances, social response, and durable lift together.
Link teams, athletes, fixtures, sponsors, and cultural attention.
Follow launch moments, creator content, reviews, and category demand.
See campaigns as units inside a longer-lived commercial property.
Understand how individual releases compound across a portfolio.
Complete the picture
Marble starts with the property, then maps every public expression back to it—even activity that was never briefed, tagged, or linked.
Illustrative example
Complete property footprint
Owned
Official releases and channels
Partner
Creator and distributor activity
Earned
Press, reviews, and conversation
Discovered
Unbriefed public references
Observed versus baseline
Marble compares observed activity with the range expected without the property, then exposes the uncertainty around the inferred difference. The chart supports a decision; it does not claim proof.
Illustrative example
Observed performance vs. expected baseline
Measured result
measuredWhat happened
Expected baseline
CounterfactualWhat likely would have happened
Inferred incremental
estimatedThe modeled difference
Observed. Direct platform and partner signals.
Compared. Seasonality and known drivers controlled.
Qualified. Range and likelihood attached.
Contributing signals · relative model weight
estimatedDecompose by release window, unit, and channel to inspect how the modeled contribution changes.
Measured and modeled, never mixed
Illustrative example
Evidence and provenance ledger
| Evidence type | Meaning | Example | Freshness |
|---|---|---|---|
| measured | Direct observation | Public platform signal | Current |
| estimated | Modeled with a stated likelihood | Expected baseline | Model run |
| derived | Translated into value terms | Defensible value range | On request |
Commercial value
Translate audience creation, attention, creator response, and category fit into conservative, expected, and upper cases. Each range keeps its inputs and assumptions attached.
Illustrative example
Commercial value range
Modeled media-equivalent value
Lower bound — upper bound
Audience-growth value
Scenario range
Earned-media value
Comparable basis
Sponsorship scenarios
Compare packages
Sponsor-category fit
Fit + inventory
From report to decision
Executives get a concise view of what the property created, what it may be worth, what to do next, and how much trust to place in the answer.
Illustrative example
Executive investment case
Illustrative verdict
Continue selectively, strengthen distribution, and connect first-party data before scaling the commitment.
Ranked next-best dollar
Honesty is a product feature
A source can be excellent for one decision and weak for another. Marble scores coverage against the question, names the gap, and shows which connection would most improve confidence.
→More episodes will not fix this — the connection will.
Illustrative example
Coverage by analytical question
Did the property create net-new audience?
StrongPotential confidence uplift · Small remaining gain
Which release and partner activity mattered?
DirectionalPotential confidence uplift · Partner data: medium gain
What is the impact worth?
EmergingPotential confidence uplift · Outcome data: high gain
What should change next?
DirectionalPotential confidence uplift · Cost data: medium gain
The partner-media layer
Discover the right partners, run the workflow, and evaluate their content alongside official, earned, and discovered activity. Creator tools stay powerful because they now contribute to a larger evidence system.
Illustrative example
Creator content compared with official content
Illustrative relative result
1.6×
creator versus official content in this demo
Official
Creator
Demo figures illustrate the comparison workflow only; they are not a customer result or general benchmark.
Intelligence that compounds
Marble retains the relationships among releases, audiences, creators, outcomes, assumptions, and confidence—so your portfolio becomes a reusable decision system.
Build a complete, source-linked property footprint.
Compare the property with baselines, peers, and prior units.
Apply the evidence and uncertainty to the next commitment.
Built around the property
Shows, films, music, podcasts, talent, and franchises.
ExploreTeams, leagues, athletes, events, and sponsor ecosystems.
ExploreProduct lines, brand platforms, launches, and partnerships.
ExploreA shared evidence layer across clients, properties, and partners.
ExploreUnderstand content impact and participate in the partner-media layer.
ExploreCreator Network
Explore creators by niche and city — each scored on reach, engagement, and audience quality. Browsing is free; create an account to unlock contact details, pricing, and full demographics.
Start with public data and zero setup. Connect first-party and partner sources when you want a stronger answer.
No new data integration required to begin.
