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Marketing budget allocation calculator: how do you split spend across channels?

Channel mix is a portfolio problem: each channel has an expected return and a risk, and channels that move differently lower the total risk. This calculator uses mean-variance analysis from finance to suggest a budget split that balances expected ROAS against volatility for your risk tolerance.

Channel A
65%
Channel B
25%
Channel C
10%
Expected ROAS
3.61
Risk (sd)
0.77

How does the channel portfolio optimizer work?

Borrowed from Finance: Markowitz mean-variance

max⁡w;μp−λ2σp2μp=∑wiμi\max_w ; \mu_p - \frac{\lambda}{2}\sigma_p^{2} \qquad \mu_p = \sum w_i\mu_i

Harry Markowitz showed that investors can reduce risk without giving up much return by mixing assets that do not move together. Marketing channels behave the same way when seasonality or algorithm changes hit them differently.

Enter the expected ROAS and variation for three channels, the correlation between them and your risk aversion. The tool searches splits in 5% steps.

Worked example

A US brand expects ROAS of 3.5 on search (sd 0.8), 4.2 on social (sd 1.6) and 2.8 on email (sd 0.5), with correlation 0.3 and risk aversion 2. The best split is 65% search, 25% social and 10% email for an expected ROAS of 3.6.

How should I read my result?

Risk aversion under 1

The split leans toward the highest-return channel and accepts swings.

Risk aversion 1 to 4

Balanced. Good for most brands with steady budgets.

Risk aversion over 4

The split favors stable channels. Expect lower but steadier returns.

Embed this calculator

Add this calculator to your own page. The snippet includes a link back to the source.

Questions about channel portfolio optimizer

Where do expected ROAS and variation come from?

Use the average and standard deviation of weekly ROAS by channel over the last six months.

Does it account for saturation?

No. Combine it with the saturation curve for each channel.

Why 5% steps?

Finer steps give little practical gain and imply false precision.

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