GooseCabbage
CalibrationLive · Predicted vs actual

A prediction is only worth as much as its track record.

Anyone can show you a confident number before launch. We do the part almost no one does: after a campaign goes live, we compare what we predicted to what actually happened — click-through, conversions, cost — and show you the gap.

Calibration is how a simulation earns the right to be trusted with your budget.

Calibration card92% accurate
Rank corr.
0.81
Spearman
Mean err
0.4pp
on CTR
Bias
+0.1pp
slightly hot
MetricPred.Actual
  • Click-through rate4.2%3.9%
  • Conversion rate2.8%3.1%
  • Cost per acquisition$41$44
Try it

Change the window. Watch the forecast meet reality.

The trust card scores how closely each prediction matched live results over a window you choose. Switch between 7, 30, and 90 days and watch predicted line up against actual.

Calibration · predicted vs actual
Window
Rank corr.
0.81
Spearman
Mean error
0.4pp
on CTR
Bias
+0.1pp
vs actual
Click-through rate4.2%3.9%
Pred
Actual
Conversion rate2.8%3.1%
Pred
Actual
Cost per acquisition$41$44
Pred
Actual
The credibility gap

"Trust the AI" is not a measurement.

Prediction tools are everywhere and accountability for those predictions is nowhere. A score with no track record behind it is just a confident guess in a nicer font — and you're the one spending real money on it.

Problem 01

Predictions that never get graded

Most tools forecast a number, you spend against it, and no one ever circles back to ask whether it was right.

Problem 02

Confidence without accuracy

A precise-looking estimate feels trustworthy even when it's systematically wrong in the same direction every time.

Problem 03

No way to compare models

If you can't measure accuracy, you can't tell whether a fancier (and pricier) model is actually any better.

How we prove it

Your calibration card, always on.

Every workspace gets a living trust card that scores how closely our simulations matched live results across your own campaigns — not a vendor case study, your account.

Predicted vs. actual, per metric

CTR, conversion rate, and CPA forecasts laid side by side with the real outcome after the campaign ran.

A single accuracy score

The gap rolls up into one calibration score, so you can see at a glance how much to trust the next prediction.

Per-simulation detail

Drill into any individual simulation to see exactly which concepts it called right and where it drifted.

Segment shrinkage

When a segment's predictions run hot, calibration can automatically pull future estimates toward reality.

Model leaderboard

Compare LLM presets head-to-head on calibration quality and pick the one that's actually most accurate for you.

Gets sharper over time

Every launched campaign feeds back in, so the simulator's accuracy on your business compounds with use.

The feedback loop

Predict, launch, measure, correct.

Step 01

Predict

A pre-flight simulation forecasts CTR, conversion rate, and CPA for each concept.
Before spend
Step 02

Launch

The winning concept goes live as a real campaign on your connected ad account.
Real spend, real data
Step 03

Measure

We pull the live metrics back in and line them up against what the simulation predicted.
Predicted vs actual
Step 04

Correct

The gap updates your calibration score and tightens the next round of predictions.
Compounding accuracy
Ready to ship?

Predictions you can hold accountable.

Run a simulation, launch the winner, and watch the calibration card prove the forecast against reality — on your own campaigns.