How it works

The method answers one question rigorously: what would your KPI have done if the intervention had never happened?

The counterfactual idea

Your metric always moves — seasonality, trends, market noise. A simple before/after comparison confuses these movements with the effect of your intervention. Instead, we build a statistical model of what your KPI would have looked like without the intervention, learned from its own history and from control variables that were not affected. The gap between reality and this counterfactual is the estimated effect — delivered with confidence intervals, not just a single number.

Not a before/after

The model accounts for trend and seasonality, so ordinary fluctuations are not mistaken for impact.

Uncertainty included

Every estimate comes with a credible range, so you know how confident to be.

Cumulative effect

See not just the daily effect, but the total accumulated impact since the intervention.

What you receive

We deliver CSV files containing your results, together with a PowerPoint presentation or a PDF report showing the findings.

CSV result fields

response
Actual KPI.
point.predpoint.pred.lowerpoint.pred.upper
Predicted KPI without the intervention, with its 95% interval.
point.effectpoint.effect.lowerpoint.effect.upper
Daily effect = actual − predicted, with its 95% interval.
cum.responsecum.predcum.pred.lowercum.pred.upper
Running totals of the actual and predicted KPI, with the predicted total’s 95% interval.
cum.effectcum.effect.lowercum.effect.upper
Cumulative effect since the start of the evaluation window, with its 95% interval.

What we need from you

At least one year of data

A daily or weekly time series of your KPI covering at least 12 months before the intervention, so the model can learn its normal behavior.

The KPI to measure

The metric on which you want to measure the effect: revenue, conversions, visits, churn — whatever matters to your decision.

Control variables

Related series that explain your KPI's usual variation but were not affected by the intervention. You can provide them, or when possible we can research suitable ones for you.

Check if your data fits — get in touch