Decision intelligence for enterprise growth
Know whatcreated growth.Fund more of it.
Tangentix helps CMOs and growth leaders decide what to fund, what to stop, and what evidence must change the next budget call.
- Expert-led
- Product-backed
- Incrementality, not last-click
Evidence recordInspect provenance
- Artifact
- Product interface
- Evidence status
- Working product / demonstration dataset
- Record ID
- TX-PROD-GEO-01
- Record
- Working product interface / synthetic demonstration dataset / captured 2026-06-30
- Decision question
- Where does the brand earn citation on priority AI prompts?
- Claim boundary
- The interface is authentic; the brand, values, and snapshot are a controlled demonstration, not client performance evidence.
Prompt coverage, citation share, and competitor visibility on one decision surface.
Featured engagement record
One result. Context intact.
Anonymized single-engagement evidence
ROAS improvement
D2C consumer brand / one quarter- Commercial question
- Could existing media dollars be reallocated toward incremental demand without increasing total spend?
- Method
- Modeled baseline plus channel-effect isolation
- Investment constraint
- No additional media spend
- Decision enabled
- Move capital away from activity operating beyond marginal efficiency
Inspect the method and full engagement recordBaseline, counterfactual, decision rule, and case boundary
Measurement method
The reported result is the starting point, not the answer.
Before a budget moves, Tangentix freezes the baseline, tests other explanations, and defines the evidence that releases the next dollar.
- 01 BaselineFreeze the expected no-intervention path.
Define what demand would plausibly do without the action, including material operating conditions and known confounders.
- 02 CounterfactualTest competing explanations against the observed movement.
Use the strongest feasible comparison rather than letting platform credit or timing stand in for causal evidence.
- 03 Earned effectIsolate the movement the intervention can credibly claim.
Keep uncertainty, exclusions, and evidence limits visible before interpreting a reported result as incremental value.
- 04 Funding ruleScale, hold, reduce, or test against the hurdle.
Capital moves only when the approved evidence boundary, commercial constraint, and next review condition are all explicit.
Open evidence record Research model / TX-METH-CORE-01
- Artifact
- Research model
- Evidence status
- Illustrative framework / no observed outcome
- Record ID
- TX-METH-CORE-01
- Record
- Earned-effect measurement structure / illustrative units
- Decision question
- What portion of the observed result can the intervention credibly claim?
Isolate the effect before funding the activity.
Then define the owner, constraint, and next measurement gate.
Anonymized engagement / D2C consumer brand
Thirty-five percent more return. Without spending more.
The client had strong topline reporting and no reliable view of incremental contribution. Tangentix rebuilt the baseline, isolated channel effects, and identified spend receiving credit for demand it had not created.
- 01 / Input
Existing media budget with fragmented platform attribution.
The team had strong reported performance but no reliable view of incremental contribution.
- 02 / Analysis
Modeled baseline and channel-effect isolation.
Tangentix rebuilt the expected baseline before assigning credit to the activity that moved demand.
- 03 / Recommendation
Reallocate spend beyond marginal efficiency.
Fund the channels demonstrating incremental demand and remove capital from activity that was only receiving credit.
- 04 / Outcome 35%Measured outcome from one anonymized engagement with no additional media spend.
ROAS improvement / one quarter
Anonymized by client agreement. The result reflects this engagement's baseline, data, constraints, and execution; it is not a guarantee of future performance.
Choose the decision system
Start with the decision holding back the next move.
Choose the question closest to the business problem. Each route shows the evidence, operating method, and first diagnostic without asking you to decode a service menu.
- 01 Discovery / AI answers · Organic search · ContentReview GEO & AI Visibility
GEO & AI Visibility
Where should we build evidence to win AI-led consideration?
- 02 Acquisition / Paid media · Budget allocationReview Media Intelligence
Media Intelligence
Which channels deserve the next dollar - and which do not?
- 03 Conversion / Website & funnel · ExperimentationReview UX & Conversion
UX & Conversion
What should we change first, and what evidence will settle it?
- 04 Retention / Email & CRM · Loyalty · LTVReview Lifecycle & Retention
Lifecycle & Retention
Which customer moments can compound durable value?
Media Optimizer / Decision workspace
A forecast does not move budget. A decision your CFO trusts does.
See the proposed allocation, downside boundary, decision owner, and realized-review rule together before a forecast becomes a funding decision.
- Separate marginal return from platform credit
- Show the proposed allocation before approval
- Set the evidence that releases the next move
Open evidence record Decision workspace / TX-WS-MED-01
- Artifact
- Decision workspace
- Evidence status
- Illustrative framework / no observed outcome
- Record ID
- TX-WS-MED-01
- Record
- Media Optimizer decision workspace / rolling 12 weeks / illustrative values
- Decision question
- Where should the next media dollar move, within what downside boundary?
Fund the next dollar against marginal return.
Read every supporting value in the allocation record below.
Start with a diagnostic
Bring us the budget call you cannot yet defend to the CFO.
In a fit call, we will identify the evidence we would inspect first, the decision owners who need to be involved, and whether Tangentix is the right partner.
Request a fit call