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Planning

Growth & Market

Forecasting

Scenarios with confidence bands.

Learned per-network elasticity and Monte Carlo confidence bands behind conservative to aggressive scenarios.

Already a customer? Open Forecasting in your workspace

6
Checks running inside Forecasting
Continuous
Market and demand movement watched between reviews
3
Named outcomes this feature is measured against
hookology.ai / forecasting
  • 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.

  • Conservative through to aggressive scenarios
  • Confidence bands rather than single lines
  • Per-network elasticity learned from your data

Plans that survive contact with reality

Forecasts feed the budget planner and pacing views, so the plan is checked against actuals continuously.

  • Forecast versus actual pacing
  • Constrained optimiser for budget allocation
  • Alerts when reality diverges from plan

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

  • Growth decisions are made channel by channel, after the opportunity has moved.
  • 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 confidence band is a guess in a nicer font.
Why we built Forecasting

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 your workspace 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.
hookology.ai / forecasting

Planning / Forecasting

Forecasting

Northwind Apparel

Forecasting

Northwind Apparel - last 28 days

Model the year, not the week

£612,480

28d90d12m

Drivers this period

Conservative through to aggressive scenarios+12.6%
Confidence bands rather than single lines+8.4%
Per-network elasticity learned from your data+10.3%

Blended ROAS

3.32x

Profit adjusted

Tracked items

38

Reviewed this week

Recent activity

Auto logged
TodaySet annual marketing budgets you can confidently defend to board members.£612,480
Thu 05Show the forecast range, not a false point precision.£61,240
Wed 04Adjust campaign budgets mid-quarter with clear performance evidence.£38,720

Google Ads

44%

Meta

37%

Pinterest

11%

TikTok

8%

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.

High confidence100%

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.

Medium confidence62%

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.

Directional34%

Every finding ends on one of four verdicts

Act now

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.

Plan it

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.

Watch

When

Signal forming, evidence still thin

What happens

Tracked daily and escalated automatically the moment it firms up.

No action

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.

  1. 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.

  2. Step 2

    Model the year, not the week

    Switch between scenarios and see projected revenue, spend and return with the uncertainty shown honestly.

  3. Step 3

    Plans that survive contact with reality

    Forecasts feed the budget planner and pacing views, so the plan is checked against actuals continuously.

  4. 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. Nothing is estimated from benchmarks, and every figure can be traced back to the platform it came from.

Conservative through to aggressive scenarios, Confidence bands rather than single lines, Per-network elasticity learned from your data, Forecast versus actual pacing, 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 process

Works 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