Decision intelligence for enterprise growth
Know whatdrives your growth.Fund more of it.
You know the question the board is about to ask: what did that spend actually do? We help 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.
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?
- Investment constraint
- No additional media spend
- Decision enabled
- Move budget out of the spend that had stopped earning
- Scale
- Not published under client anonymization agreement.
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.
A number on a slide is where most reviews stop. It's where ours begins.
- 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 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 put a name against it, agree the constraint, and set a date to check whether it worked.
Anonymized engagement / D2C consumer brand
Thirty-five percent more return. Without spending more.
On paper, everything looked healthy. What nobody could answer was which part of it the spend had actually caused.
- 01 / Input
Strong reported performance, no view of what caused it.
Platform attribution was fragmented across channels, so nothing separated demand the campaigns created from demand that was already coming.
- 02 / Analysis
Rebuild the baseline, then isolate each channel.
We estimated what demand would have done on its own, then separated each channel's real effect from the noise.
- 03 / Recommendation
Fund only what cleared the baseline.
Budget moved to the channels driving real, incremental demand, and out of the spend that was only taking credit.
- 04 / Outcome 35%Measured against the rebuilt pre-move baseline.
ROAS improvement / one quarter
Media Optimizer
A forecast does not move budget. A decision your CFO trusts does.
You'll see the proposed move, what it puts at risk, whose name is on it, and how we'll check it worked. All of it before a single 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 whichever sits closest to your problem. Each one shows you 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.
On a fit call we'll work out what evidence we'd want to see first, who needs to be in the room when the decision gets made, and whether Tangentix is genuinely the right partner for it.
Work with us