Marketing Intelligence
Marketing analytics and ROI optimisation
Marketing teams drown in dashboards but struggle to decide what to do next. Campaign data lives in Google Analytics. Customer data in the CRM. Product performance in the commerce platform. Ad performance in Meta. Budget calls happen on gut feel because nobody has the complete picture.
Marketing Intelligence connects marketing automation, analytics, ad platforms, and commerce data to surface what's actually working. It guides action on campaigns, budgets, content, and experimentation - not just shows metrics.
Built for marketing and growth teams who need workflow support, not more dashboards.
What you get
A unified view of marketing performance that surfaces signals and guides next actions. Our customers use it to prioritise campaigns, allocate budgets with confidence, plan what content to create, and build experimentation roadmaps that actually drive outcomes.
Core capabilities
Campaign Performance Signals
Tracks what's actually working across channels, email engagement, ad performance, content effectiveness, conversion paths. Surfaces when campaigns perform above or below expectations and why.
Audience Intelligence & Segmentation
Identifies which customer segments respond to which messages, products, and channels. Shapes targeting based on behaviour patterns, not demographic assumptions.
Budget Allocation Guidance
Recommends where to invest next month's budget based on channel performance, audience response, and diminishing returns. Helps teams shift spend toward what's working without endless spreadsheet analysis.
Content & Product Prioritisation
Surfaces which products, content types, and messaging themes drive engagement and conversion. Guides editorial calendars, product featuring priorities, and promotional strategy.
Experimentation Strategy
Helps teams decide what to test next based on potential impact, effort, and learning value. Interprets test results in business context and builds experimentation roadmaps that connect to strategy.
Attribution Intelligence
Goes beyond last-click attribution to show how touchpoints actually contribute to conversion. Helps teams understand which channels assist versus close, and where credit belongs.
Integration compatibility
Marketing Intelligence connects to your existing martech stack. If your tools have APIs or export data, we can connect to them.
Here are platforms our customers commonly use - but this list is not exhaustive.
Marketing automation
Analytics platforms
CRO & experimentation
Advertising platforms
CMS & commerce
Don't see your tool? We can still connect to it.
Our approach
Marketing Intelligence sits above your martech stack, not beside it. It doesn't replace HubSpot, GA4, or Optimizely - it connects to them.
When you add a new data source, all connected workflow support tools immediately gain access to that data. When marketing needs change, the workflow support layer adapts without rebuilding integrations.
- Platform-agnostic, works with whatever martech you already use
- Action-oriented, guides what to do, not just shows what happened
- Context-aware, connects marketing performance to business outcomes, not just vanity metrics
- Progressive enhancement, start with one workflow (e.g., campaign prioritisation), expand as value proves out
The result is marketing actions taken with confidence, not guesswork.
Common questions about marketing intelligence
Common questions about marketing intelligence
What does marketing intelligence help with?
It helps marketing teams pull campaign, channel, spend and customer data into a clearer view so reporting, targeting and budget conversations are based on the same facts. The focus is reducing manual reporting work and making everyday marketing workflows easier.
Which teams is it useful for?
Marketing, ecommerce, growth, sales and customer service teams who rely on data sitting across ad platforms, analytics, CRM, ecommerce and spreadsheets.
Does it replace our analytics or marketing platforms?
No. It works alongside your existing analytics, ad platforms, CRM and ecommerce tools. The aim is to make the data and reporting from those tools more useful in everyday workflows, not to replace them.
What data does it need?
Typically campaign, channel, spend, conversion and customer data from the tools you already use. Data does not need to be perfect to start. Part of the work is making it consistent enough for the workflows being supported.
How is the work kept controlled?
Reporting, segmentation and AI-supported drafting all have clear inputs and review points. People stay in control of anything customer-facing, such as messaging, audiences and budget changes.
Where should a business start?
Usually with one workflow that takes too long today, such as weekly performance reporting, campaign reviews or audience prep. Improve that workflow first, then extend.
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