Traffic and ROI forecasting

What it is

Most SEO reporting looks backwards. It tells you what traffic you got. The interesting question is what you would get if you wrote a particular piece of content — and that is answerable before you write it.

Forecasting projects traffic and revenue for a keyword set or a content cluster, with confidence ranges rather than a single number that pretends to be precise.

How it works

The method is deliberately transparent, so you can argue with it:

1. Expected clicks = search volume × expected click-through rate at the predicted position.
2. Expected position comes from a difficulty model compared against your site's authority.
3. A ramp curve models how long new content takes to reach its position. Google's typical maturity window is three to nine months, and a forecast that ignores it will disappoint you for a quarter.
4. Revenue = clicks × conversion rate × average order value.

When enough history exists, regression mode fits a log-linear model on your own achieved positions and uses that instead of the defaults. On a fresh install it falls back to the built-in model rather than producing nothing.

What it does for your site

It prices content before you commit to it. That is what turns SEO from a cost centre into a channel with a budget case: this cluster is worth an estimated X in year one at a stated confidence, and here is the ramp. It also stops the classic mistake of judging new content after six weeks, when the model says nine months.

Where the results go

Forecasts are built on clusters and authority from the web graph. The outputs feed reporting, including executive PDF summaries.