Understand. Predict. Optimise.
Don't stop at What. "Understand" Why.
Don't stop at "knowing" your consumer behaviours. "Predict" their future behaviours.
Don't stop at creating a product. "Optimise" it to generate more value.
We specialise in leveraging advanced data analytics to unlock the full potential of your existing data - whether it is behavioural or survey data. Our tailored analytical approaches empower businesses to make informed decisions, maximize profitability, and stay ahead in today's competitive market landscape.
Conjoint Analysis & Max-Diff scaling
Conjoint Analysis is an advanced method typically used for pricing and product-service attributes research. Broadly, the aim is to identify the value consumers place on different product or service attributes.
Conjoint analysis replicates real-life choices that consumers make and delivers outcomes that breakdown the choices into differently valued sub-choices.
What are the range of questions I can address using Conjoint Analysis?
- Understand the value consumers place on different product features and attributes.
- Determine Pricing, Inform Marketing Strategy, prioritise features for product development.
- Conduct consumer segmentation based on consumer preferences and needs.
- Test different marketing messages or ad-copy.
Are you not sure how Conjoint Analysis will solve your marketing challenges?
Segmentation Analytics
Our approach to Segmentation is one of using advanced analytics and data blending to come up with a solution that allows marketers to better understand and identify current and future consumer needs, behaviours and preferences.
Our offer consists of both Tactical and Strategic segmentation solutions.
Tactical segmentation refers to the process of segmenting based on specific criteria with the aim of developing targeted marketing tactics.
Strategic segmentation involves identifying segments that are strategically important to the organization. These segments are often aligned with the company's overall mission, vision, and objectives, as well as its competitive positioning within the market.
Questions we answer:
- Which are the segments with the greatest potential for growth or profitability?
- How will demand in my category evolve in the future? What are my priorities for growth?
- Are there any hidden or latent consumer groups are likely to buy my new product?
- How is the customer journey panning out for different groups of consumers?
Do you have data that needs to be analysed? Do you have a segmentation challenge?
Key Drivers Analysis
This is the magnifying glass that reveals what truly matters to your consumers and what truly drives their decisions.
A KDA examines the relationship between product related factors and consumer attitudes towards your brand. It then pinpoints specific factors that drive consumer decisions. It reveals the variables that impact your brands' performance the most and allows a comparision with competitor brands too.
- Do you want to identify the key factors impacting satisfaction, retention and loyalty?
- Do you want to identify the critical factors that attract new customers?
- Do you want to see how your brand stands up against competitor brands on different attributes?
- Do you want to see which factors drive the success of your innovation?
Other Analytics in our service offer
Discover more about our extensive range of advanced analytics services. If you still can’t find what you’re looking for, please feel free to get in touch with us – we will be more than happy to help.
Time Series Analysis
Time Series is a powerful technique used to study patterns and trends in data collected over time, particularly brand tracking. Time Series plays a crucial role in understanding how a brand evolves, what factors influence its performance, and how it changes over different periods.
Decision Trees
Decision tree analysis involves visually outlining the potential outcomes, costs, and consequences of a complex decision. These trees are particularly helpful for analyzing quantitative data and making a decision based on numbers.
Correspondence Analysis
Identify how different brands are perceived by consumers based on certain attributes like price, quality, and features. This can help you better understand your brand positioning and make decisions on how to improve your brand's image relative to competition.
TURF Analysis
TURF analysis stands for Total Unduplicated Reach and Frequency. It’s a statistical technique used to evaluate the potential reach and impact of various combinations of products or services within a target audience.
Text/Sentiment analysis
Sentiment analysis involves analyzing text to determine whether its tone is positive, negative, or neutral. By examining what customers and prospects say online, businesses gain insights into how their brand is perceived.
Social Listening
Social listening is a valuable marketing methodology that involves collecting and analyzing conversations in the marketplace. By tuning into discussions happening around your brand and industry on social media channels, you gain actionable insights.
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