We’re experts in predictive analytics and advanced segmentation techniques
We can advise you in all areas of analysis, from campaign evaluation through testing programmes to complex multi-level segmentation implementation.
As you’ll see below, we have an extensive range of data analysis skills and experience – our ‘products’, if you like.
This means that, whilst everything we do is bespoke, we don’t have to waste time reinventing the wheel. We draw on our skills and experience to ensure that our processes continually improve, and that we’re delivering the highest quality output in the most cost-effective way for our clients.
By totally tailoring this output to your data, your requirements and what’s best for your customers and prospects, we naturally achieve much more valuable results than we could by simply resorting to ‘off-the-peg’ readymade solutions.
Coupled with our marketing experience – a rare bonus in the world of data analytics - this enables us to produce intelligent and creative data solutions which will improve the targeting and response rate of your campaigns.
Our Products:
Exploratory Analysis - Creating a set of customer-driven facts and a gap analysis for your business.
Data Audit and Predictive Data Modelling - Assessing existing data banks and other sources, and developing rigorous predictive models for future planning.
Lifetime Value Modelling - Seeking out those customers who will bring most to your business in the long term, depending on your payback window.
Customer Performance Analysis - Our core offering - applying the lesson of RFV to your active customer base.
Churn Analysis - Understanding why some customers stay with you while apparently similar ones don’t, and therefore helping limit the financial impact of ‘silent attrition’.
Segmentation and Profiling - Identifying customer cohorts based on transactional behavioural and psychographic criteria. Building homogenous clusters of customers to narrow down the focus of propositions and communications.
Brand Positioning Mapping - Ascertaining which customers are closest to your brand and what can be done to increase this proximity.
Product Mapping - Analysing which products are closest to the heart of your brand (and assessing competitive risk).
Data Infilling - Indicating methods by which important gaps in your customer data can be filled and enhanced.