Our Tool-kit

We use a range of data sources and models of thinking

A taste of the tools at our disposal is outlined below

  • Research

    Qualitative research

    In-depth consumer and shopper engagement using a range of exploratory techniques such as in-depth interviews, focus groups, in-context observations, accompanied shops, online discussions and online diaries to develop a deeper understanding of consumer motivations, behaviours and attitudes by answering the who, why and how.

    Quantitative research

    Gathering a reliable and valid measure of a population of interest (e.g. consumers, shoppers, customers, stakeholders) using the most appropriate data collection method (e.g. online, phone and face-to-face surveys).

  • Market & Competitive Intelligence

    Secondary analysis

    Identifying, gathering and analysing data that already exists on markets and competitors.

    Expert interviews

    Interviews with industry experts such as journalists, academics and industry associations.

    Supply chain interviews

    Interviews with organisations that form part of the supply chain such as suppliers, distributors, agents and other intermediaries.

    Mystery shopping

    Executing a shopping scenario with brands in your category to measure quality of service and/or gather specific information about products and services.

  • Big Data

    Data Audits

    Conducting a review of 1st party data (e.g. CRM, transactional databases) to understand the data that can be utilised to create value for your business, identify key data gaps that need to be filled, and create an analytics vision for the future.

    Data Acquisition

    Acquiring relevant 3rd party data (e.g. bank transaction data, digital behaviours, geo-demographic segmentation) and connecting it to a 1st party data set for insight generation and/or database enrichment.

    Data mining

    Taking one or more large data sources and applying a range of statistical techniques to determine patterns and relationships that have a direct impact on marketing performance.

    Predictive modelling

    Analysing available data to identify the best predictors of a specific behaviour that can be targeted for growth.

    Text analytics

    Taking unstructured text and converting it into statistical data, so it can be used to find patterns and trends that can drive marketing decision making.

    Social media analytics

    Monitoring and obtaining data from social media channels and converting it into statistical data to determine the magnitude of feelings towards your brand, so you can manage your reputation effectively in the online space.

  • Cultural Analysis

    Cultural mapping

    Exploring the cultural forces (past, present and future) that shape our feelings, thoughts and behaviours.

    Trend analysis

    Analysis of consumer trends and innovations around the globe that can provide inspiration for innovation.


    Understanding the meaning people give to the signs, symbols and messages in your category, and how these can be utilised to influence behaviour.

  • Data Visualisation

    Marketing dashboards

    Bringing together marketing key performance indicators into a single online deliverable that is simple to understand and easily accessible by stakeholders.


    Developing a simple and visually impactful representation of information, data, or knowledge that is easy to read and easy to share.

    Heat mapping

    Plots geographical location data and other related business metrics onto maps to visualise relationships and trends in your customer base.


    Used to bring concepts and ideas generated to life, and to obtain stakeholder buy-in.

Contact Us Today

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Location Details


 Level 9, 401 Collins Street,
Melbourne VIC 3000


  Level 1, 91 Havelock Street,
West Perth WA 6005


  Level 12 64 York Street
Sydney NSW 2000