Business context
Intelligence
Context Engine
The business context the data cannot see.
Hookology asks about the things numbers never explain - stock issues, pricing moves, PR, seasonality - and folds your answers into every future analysis.
Already a customer? Open Context Engine in your workspace
- 6
- Signals Context Engine reads on your account
- Daily
- Briefing rewritten from your live account numbers
- Traceable
- Every context engine figure links back to its source
- Stop getting automated insight that completely ignores what you already know.
- Cut false data alarms caused by known seasonal trading events.
- Build a lasting business memory that outlives internal staff changes.
It asks when it does not understand
When a movement cannot be explained from the data alone, the platform raises a short, specific question instead of inventing a confident answer.
- Questions raised only when they change a recommendation
- Plain-English, answerable in a sentence
- Unanswered gaps flagged on the analysis they affect
Answers become permanent memory
Each answer is interpreted, stored and reused, so the same question is never asked twice and future insight is written with your context already applied.
- Context applied across Decisions, Performance and Forecasting
- History of what was true, and when
- Confidence rises as context coverage improves
The shift
What changes once Context Engine is running
Same team, same accounts. The difference is that the decision is already measured before anyone opens a spreadsheet.
Before
- Teams reconcile disconnected reports before they can discuss the decision.
- The team has to assemble the context behind context engine by hand.
- Important changes are found late, after time or budget has already been lost.
With Hookology
- The evidence, commercial impact and next move arrive in one shared view.
- Stop getting automated insight that completely ignores what you already know.
- Cut false data alarms caused by known seasonal trading events.
- Build a lasting business memory that outlives internal staff changes.
The data cannot see your stock levels, your margin rules or your launch. So we tell it.
Inside the product
What Context Engine 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.
- Stop getting automated insight that completely ignores what you already know.
- Cut false data alarms caused by known seasonal trading events.
- Build a lasting business memory that outlives internal staff changes.
Business context / Context Engine
Context Engine
Northwind Apparel
Context Engine
Northwind Apparel - last 28 days
Revenue (28d)
£184,500
+12.6% vs prior
Blended ROAS
3.94x
Profit adjusted
Tracked items
212
Reviewed this week
Open actions
38
Owned by the team
Recent activity
Auto loggedGoogle Ads
Meta
TikTok
How confidence works
Three evidence tiers, so nothing is stuck in 'needs data'
Every Context Engine 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 ad platforms, analytics and back-end revenue, with enough volume behind it that Context Engine 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 Context Engine 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 ad platforms, analytics and revenue data are wired up during onboarding, so Context Engine works from your own numbers on day one rather than a sample workspace.
Step 2
It asks when it does not understand
When a movement cannot be explained from the data alone, the platform raises a short, specific question instead of inventing a confident answer.
Step 3
Answers become permanent memory
Each answer is interpreted, stored and reused, so the same question is never asked twice and future insight is written with your context already applied.
Step 4
We review it with you
Your account manager seeds the initial context in onboarding and reviews open questions in your sessions. 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.
Context Engine reads your ad platforms, analytics and revenue data directly. Nothing is estimated from benchmarks, and every figure can be traced back to the platform it came from.
Questions raised only when they change a recommendation, Plain-English, answerable in a sentence, Unanswered gaps flagged on the analysis they affect, Context applied across Decisions, Performance and Forecasting, and more.
Your account manager seeds the initial context in onboarding and reviews open questions in your sessions.
Why teams use it
- Stop getting automated insight that completely ignores what you already know.
- Cut false data alarms caused by known seasonal trading events.
- Build a lasting business memory that outlives internal staff changes.
How we set this up with you
Your account manager seeds the initial context in onboarding and reviews open questions in your sessions.
Our onboarding processWorks alongside
See Context Engine 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