PRACTICAL COMPANIONFICTIONAL EXAMPLE / BROWSER-LOCAL

FROM RANKINGS TO RANGES

The SEO Range Model

Build an SEO forecast that helps someone make a decision - without pretending uncertainty has disappeared.

Most SEO forecasts turn several uncertain assumptions into one precise-looking number. This model keeps those assumptions visible.

Start the six-step model Play the six-step £19,440 GameGet the Starter Sheet

The practical companion to From Rankings to Ranges: How to Forecast SEO in 2026 by James Yorke.

The purpose of an SEO forecast is not to predict one number perfectly.

It is to help someone make a better decision under uncertainty.

01 / A forecast is a testable decision case, not a promise.02 / A ranking is evidence, not a traffic forecast.03 / Delivery assumptions belong inside the forecast.

THE SIX-STEP MODEL

Build the decision case.

Work through the six steps in order or jump to the part you need. The fictional running-shoe example is already loaded so you can understand the method before replacing it with your own evidence.

01 / DEFINE THE BASELINE

What happens without the work?

The baseline is the expected outcome if the proposed SEO work does not happen. Do not measure the work against zero.

Baseline / no-change baseline

The best estimate of what would happen over the forecast period if the proposed SEO work did not happen.

Full definition and example
Optional: test the baseline against the past

Backtesting means pretending you are standing in the past. Hide a period you already know, forecast it using only earlier information, then compare it with what happened.

Backtest evidence12.5% WAPEWAPE is how far this forecast was from the actual result overall.
Step 1 of 6

COMPLETED EXAMPLE

See the number come apart.

The original interactive running-shoe lab is preserved here. Change the assumptions, reveal the three scenarios, inject a failure and log the outturn.

Open the worked example
WHAT IT ISAn editable teaching model

A fictional ecommerce example that turns one precise-looking SEO forecast into visible assumptions.

WHAT YOU DOChange it. Question it. Break it.

Edit the inputs, compare coherent scenarios and test which uncertainty matters most.

WHAT YOU TAKE AWAYA range you can explain

Use the method on a real project: baseline, slice, learn, scenario, gate and backtest.

01 / THE PRECISE-LOOKING ANSWER

Forecast this SEO project.

UK ecommerce evaluation queries. Category-template rebuild and internal linking. Twelve-month horizon.

Illustrative figures - not client data
Forecast incremental contribution£487,216Every input is uncertain. The output is to the nearest pound.

THE MEETING / BEFORE THE CAVEATS

Would you fund this?

WARNING: SPREADSHEET HAS DEVELOPED CONFIDENCE.

OPTIONAL REALITY CHECK

Can you spot false precision?

Eight short decisions test the judgement behind the spreadsheet. The score is less important than the explanation.

FORECASTING REALITY CHECK

Before the model, inspect your judgement.

SEO forecasting often looks precise because the spreadsheet can multiply. The difficult part is deciding what the inputs mean, what must be true and what could stop the work being delivered.

Take eight realistic decisions, see where your forecast is vulnerable, then build a range that can support an actual decision.

01 / WHAT IT IS

A judgement check

Eight short scenarios about scope, evidence, click behaviour, delivery and learning.

02 / WHAT IT DOES

Exposes weak habits

Every answer gets an immediate explanation. The reasoning matters more than the score.

03 / WHAT YOU TAKE AWAY

A usable method

Move into the Range Model knowing which assumption deserves the most suspicion.

This is an educational check, not a certification of forecasting competence. A forecast is not a prophecy. It is a visible chain of assumptions used to make a decision.

Forecasting Field Guide

SLIDES AND RESOURCES

Take the method with you.

I am not anti-forecast.

I am anti-false precision.