Planning
Growth & Market
Forecasting
Scenarios with an honest range.
Learned per-network elasticity and a historical volatility range behind low, base and high budget scenarios.
Already a customer? Open Forecasting in your workspace
- 3
- Budget scenarios side by side: -25%, 0 and +50%
- 12 mo
- Projection horizon with a volatility range that widens honestly
- Built from your own history
- Every forecast starts from your own delivery figures
- Set annual marketing budgets you can confidently defend to board members.
- Show the forecast range, not a false point precision.
- Adjust campaign budgets mid-quarter with clear performance evidence.
Model the year, not the week
Switch between scenarios and see projected revenue, spend and return with the uncertainty shown honestly.
- Low, base and high budget scenarios (-25%, 0, +50%)
- A volatility range from your own history, not a single line
- Per-network elasticity learned from your data
Test the plan before you spend it
Simulate scenarios and use Goal Seek to find the budget that hits a target, with a constrained optimiser for allocation.
- Scenario simulation across low, base and high budgets
- Goal Seek: the spend needed for a revenue or ROAS target
- Constrained optimiser for budget allocation
The shift
What changes once Forecasting is running
Same team, same accounts. The difference is that the decision is already measured before anyone opens a spreadsheet.
Before
- Next month is planned on last month's spreadsheet and a hunch.
- The team has to assemble the context behind forecasting by hand.
- Important changes are found late, after time or budget has already been lost.
With Hookology
- Market movement, forecast impact and budget choices are evaluated together.
- Set annual marketing budgets you can confidently defend to board members.
- Show the forecast range, not a false point precision.
- Adjust campaign budgets mid-quarter with clear performance evidence.
A forecast with no range is a guess in a nicer font.
Inside the product
What Forecasting looks like on live accounts
This walkthrough uses our Northwind Apparel demo account so you can see the screen fully populated. On yourworkspace the same view is built from your connected platforms, so the first session already reflects your own numbers.
- Set annual marketing budgets you can confidently defend to board members.
- Show the forecast range, not a false point precision.
- Adjust campaign budgets mid-quarter with clear performance evidence.
Workspace / Forecasting
Forecasting
Northwind Apparel
Forecasting - Budget Simulator
Base scenario, 6-month horizon, UK time
Shaded band: historical volatility range from Northwind's own variance, not a single line.
Low (-25%)
£76,400
Spend £17,010 · 4.49x ROAS
Base (0)
£94,820
Spend £22,680 · 4.18x ROAS
High (+50%)
£128,900
Spend £34,020 · 3.79x ROAS
Learned elasticity
Optimiser split
How confidence works
Three evidence tiers, so nothing is stuck in ‘needs data’
Every Forecasting finding is labelled with how much evidence sits behind it. As data accumulates it moves up a tier and the recommendation tightens, so thin signals are never presented with the same weight as proven ones.
Tier 1 - Confirmed
Enough of your own history behind the finding
Read straight from your spend, market and demand data, with enough volume behind it that Forecasting states the position rather than hedging it.
Tier 2 - Emerging
Live signal, volume still building
The movement is real but young, so it is surfaced as directional and flagged for a second look before budget or roadmap time is committed to it.
Tier 3 - Modelled
Too little data to measure directly
Estimated from the patterns your own account has already proven, and always labelled as modelled so it is never mistaken for a measured result.
Every finding ends on one of four verdicts
When
Confirmed evidence and material money attached
What happens
It moves to the top of the queue with an owner and the expected impact stated.
When
Worth doing, but needs a slot rather than a scramble
What happens
It is sized and scheduled into the next cycle instead of jumping the queue.
When
Signal forming, evidence still thin
What happens
Tracked daily and escalated automatically the moment it firms up.
When
Noise, or impact too small to be worth an hour
What happens
Closed out with the reason recorded, so it does not resurface every week.
In practice
How Forecasting works week to week
From connecting your accounts to the review call, here is the shape of it, plus the questions teams ask us most before they start.
Step 1
We connect your accounts
Your spend, market and demand data are wired up during onboarding, so Forecasting works from your own numbers on day one rather than a sample workspace.
Step 2
Model the year, not the week
Switch between scenarios and see projected revenue, spend and return with the uncertainty shown honestly.
Step 3
Test the plan before you spend it
Simulate scenarios and use Goal Seek to find the budget that hits a target, with a constrained optimiser for allocation.
Step 4
We review it with you
We build the forecast model with your assumptions and revisit it at each review. Nothing sits in a dashboard waiting to be discovered.
Common questions
Most workspaces are live within a few days of the discovery call. Once your platforms are connected we backfill history, so the first session already shows trends rather than an empty screen.
Forecasting reads your spend, market and demand data directly. Spend, clicks and conversions come straight from the platform; projected value and uplift are modelled from your own figures and labelled as such.
Low, base and high budget scenarios (-25%, 0, +50%), A volatility range from your own history, not a single line, Per-network elasticity learned from your data, Scenario simulation across low, base and high budgets, and more.
We build the forecast model with your assumptions and revisit it at each review.
Why teams use it
- Set annual marketing budgets you can confidently defend to board members.
- Show the forecast range, not a false point precision.
- Adjust campaign budgets mid-quarter with clear performance evidence.
How we set this up with you
We build the forecast model with your assumptions and revisit it at each review.
Our onboarding processWorks alongside
See Forecasting running on your own data
We build the workspace around your accounts and walk you through it together. No self-serve setup, no trial to configure on your own.
Book a discovery call