04.3 · Grow Brands & Marketing Performance
Analytics & Data Science
Get more from your research and business data with advanced analytics, modelling and data science that turn numbers into decisions.
Insight
Questions we help you answer
- Q1
What is really driving our outcomes?
- Q2
How can we combine research with our own business data?
- Q3
What will happen if we change something?
Methodology
How we approach it
- 1
Bring data together
Combine survey, behavioural and business data into one analysis-ready view.
- 2
Model
Apply driver, predictive and segmentation models suited to the question.
- 3
Simulate
Build scenarios and simulators to test decisions before making them.
- 4
Deploy
Deliver dashboards and tools that teams can use day to day.
Methods we use
- Driver analysis
- Predictive modelling
- Machine learning
- Data integration
Deliverables
What you get
- Driver and predictive models
- Scenario simulators
- Integrated datasets
- Dashboards
Case studies
Case studies are on their way.
We're preparing published examples of our analytics & data science work. Ask us for relevant experience in your category — we're happy to walk you through it.
Related insights
More in Grow Brands & Marketing Performance
- Brand Health & PositioningTrack how your brand is seen, chosen and remembered — and find the positioning that will grow it.
- Media & Communication EffectivenessTest communications before they run and measure how they perform in market — across TV, digital, social and influencer activity.
- Pricing & Trade-off AnalysisFind the right price and the right mix of features by understanding the trade-offs customers make — and what they are willing to pay.
- Marketing Mix Modelling (MMM)Measure what each marketing lever contributes to sales — and plan budgets that deliver the best return.
Talk to us about Analytics & Data Science
Tell us about the decision in front of you and we'll recommend the right design, sample and timeline.