Research, Data and Intelligence
Voter analytics, polling and research, media monitoring, predictive modelling, and competitive intelligence.
Voter and candidate predictive analytics
Using data to predict voter behaviour and optimise campaign resource allocation.
Voter modelling and scoring
Building predictive models to identify persuadable and mobilisable voters.
Data acquisition and enrichment
Building and cleaning voter contact databases.
Predictive modelling for campaigns
Machine learning and statistical approaches for campaign forecasting.
Lookalike audience building
Expanding targeting universes using known supporter profiles.
Polling and research
Quantitative and qualitative research methods for campaign intelligence.
Survey design and methodology
Designing polls that yield actionable, unbiased data.
Focus groups and qualitative research
Using qualitative methods to understand voter psychology and motivation.
Tracking polls and trend analysis
Monitoring opinion shifts over the course of a campaign.
Message testing
Rigorous testing of messages, frames, and creative concepts before deployment.
Analytics and optimisation
Using data to improve campaign performance in real time.
Media and sentiment monitoring
Tracking press, social, and stakeholder coverage in real time.
Social listening
Monitoring social media for sentiment, trends, and emerging issues.
Press and broadcast monitoring
Tracking traditional media coverage and setting up alert systems.
Narrative tracking and analysis
Identifying how campaign and opponent narratives evolve over time.
Sentiment analysis and NLP
Using computational methods to assess tone and theme at scale.
Competitive intelligence
Monitoring and analysing opponent and competitor activity.
Opponent monitoring
Systematic tracking of opponent communications and activities.
Paid ad monitoring
Tracking competitor advertising across digital and offline channels.
Intelligence briefings and reporting
Structuring and delivering competitive intelligence to campaign leadership.