Analytic Insight & Advisory

Extracting value from data

We use a variety of data science techniques to shape data into meaningful segments based on their characteristics and likely behaviour and to extract general insights.

  • Bespoke models: Tailored to a client’s specific needs incorporating their 1st party data to produce descriptive or predictive models that are specific to their requirements. Typical examples could include churn models or propensity models which rank consumers based on their likelihood to exhibit a behaviour.

  • Market sizing: Segment opportunities are sized based on population, brand affinity & value.

  • Brand affinity: Identification of which segments have the strongest attraction to your brand.

  • Campaign optimisation: Maximise response rates by identifying which characteristics campaign responders have in common.

  • Data visualisation: Data patterns and insights displayed in a beautiful interface.

Extracting value from data

We use a variety of data science techniques to shape data into meaningful segments based on their characteristics and likely behaviour and to extract general insights.

  • Bespoke models: Tailored to a client’s specific needs incorporating their 1st party data to produce descriptive or predictive models that are specific to their requirements. Typical examples could include churn models or propensity models which rank consumers based on their likelihood to exhibit a behaviour.

  • Market sizing: Segment opportunities are sized based on population, brand affinity & value.

  • Brand affinity: Identification of which segments have the strongest attraction to your brand.

  • Campaign optimisation: Maximise response rates by identifying which characteristics campaign responders have in common.

  • Data visualisation: Data patterns and insights displayed in a beautiful interface.

Customer Management

Acquisition

Our data is connected to most ad-tech platforms. This offers a seamless gateway to new customers via our Audience Segments and customer lookalikes.

Your existing campaigns can also be further optimised with our data for improved response.

Cross-sell

We can uncover additional buyer characteristics across all descriptive variables and append data to your customer database to better understand share of wallet opportunity.

Next best offer models work best when first and third-party data is combined.

Retention

Our multi-dimensional view of 16m Australians enables us to understand why customers leave and which ones are likely to in the future.

Churn can be addressed via models or monitoring trigger-based events that correlate with consumer behaviour.

Relevant content

Got Questions?

We have all the answers! Well, maybe not all but we’ll do our best to help.