Decision intelligence for enterprise growth
Know whatdrives your 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 budget out of spend that had stopped earning
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 any budget moves, we rebuild the baseline, test the other explanations, and set the evidence that releases the next dollar.
- 01 BaselineWork out the sales you would have gotten anyway.
Before crediting any campaign, we estimate what demand would have done on its own, season and timing included.
- 02 CounterfactualRule out the other explanations.
Test whether timing, seasonality, or platform self-credit explain the movement, instead of assuming the spend did.
- 03 Earned effectIsolate the growth the campaign actually caused.
What is left after the baseline is the real, incremental effect. We stay honest about what is still uncertain.
- 04 Funding ruleDecide what to fund, hold, cut, or test.
Money moves only when the evidence, the constraint, and the next check are all on the table.
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?
Separate what you caused before you fund more of it.
Then name the owner, the constraint, and when you'll check it.
Anonymized engagement / D2C consumer brand
Thirty-five percent more return. Without spending more.
The client's topline numbers looked strong but couldn't show what the spend actually caused. We rebuilt the baseline, isolated each channel's effect, and found budget taking credit for demand it never 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
Move budget to where it still earns.
Fund the channels driving real, incremental demand and pull budget from the spend that was only taking 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.
Media Optimizer
A forecast does not move budget. A decision your CFO trusts does.
See the proposed move, its downside, who owns it, and how we'll check it worked, all before a dollar moves.
- Tell real return from platform self-credit
- See the proposed move before you approve it
- Set the evidence that unlocks the next one
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.
Choose where to start
Start with the question you can't answer yet.
Pick the one closest to your problem. Each shows the evidence, the method, and the first thing we'd look at. No service menu to decode.
- 01 Discovery / AI answers · Organic search · ContentReview GEO & AI Visibility
GEO & AI Visibility
Where do we build evidence to get recommended by AI?
- 02 Acquisition / Paid media · Budget allocationReview Media Intelligence
Media Intelligence
Which channels deserve the next dollar, and which don't?
- 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 actually compound into lasting value?
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