How much should you spend? There is an actual answer.

Most budgets are last year plus a percentage. Odins estimates the return of every extra krone at every spend level, so the total is set on evidence instead of habit.

Book a demo How it works

app.odins.ai / saturation curves

Response by spend level

Last 12 months

Search Social TV

The situation

The yearly budget fight.

Marketing wants growth, finance wants proof, and the deadline arrives before the evidence does.

Anchored to last year

The starting point is what we spent, not what it returned. The whole debate is about the percentage.

Benchmarks that do not fit

Industry averages say what others spend. They say nothing about where your channels saturate.

One number, no range

A single budget proposal hides how confident anyone actually is in it.

How Odins answers it

Marginal return decides the level.

The model estimates what the next krone returns in every channel, at every spend level. Add the curves together and the right total emerges: the point where extra spend stops paying for itself, given your targets.

The return of the next million, not the average of the last
Budget levels compared side by side, with revenue forecasts and confidence ranges
Set a target and a certainty, and get the lowest budget that clears both
Recalculated every month as seasonality and conditions change

Proof

When the forecast holds, you dare to invest.

Høie, one of Norway's oldest bedding brands, reports that the model forecasts more accurately than their internal budget models. In one key month they increased spend and grew revenue by nearly 28 percent at the same ROAS, on the model's recommendations.

Forecasts are made before the outcome and verified against actual sales
'Already after a short time, we feel naked without it,' says the Høie team
The same verification runs for every customer, every month

FAQ

Frequently asked questions.

Can it really tell us the total, not just the split?

Yes. The model estimates marginal return at every spend level and shows where the portfolio hits diminishing returns. That is the budget-level answer, not just an allocation.

What if we have aggressive growth targets?

Set the target and the certainty you need. The model returns the lowest budget that clears both, and shows what a stricter certainty requirement costs.

How often is the answer updated?

Monthly. The model retrains on fresh data, so the recommended level follows seasonality and market conditions instead of an annual snapshot.

What data do you need from us?

Spend per channel and your sales data. Digital channels come in through APIs, offline as files, and the first model is typically live in six to eight weeks.