We support Marketing and Sales with tailored Marketing Analytics for Segmentation, RFM analysis and Churn Prediction. At Auriscon we integrate multiple model building techniques with programming in R to ensure our customers have access to a tailored solution. We have capacity to consult and assist our clients' Marketing and Sales teams to ensure comfort is taken in bespoke analytical approaches, aiming for less churn, higher retention and increasing sales through decoded customer behaviour patterns.

Browse through an outline of how we can support your Sales and Marking with tools and concepts rooted in modern Marketing Analytics.    

→ Our Approach   Customer Segmentation
  Marketing Analytics Services   Churn Prediction
  Root Cause Analysis and Sales Scenarios   Customer Lifetime Value

 

Don't hesitate to contact us for inquiries. 

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Disclaimer: Data, charts and commentary displayed herein are for information purposes only and do not provide any consulting advice. No information provided in this documentation shall give rise to any liability of Auriscon HK Ltd and Auriscon Ltd. 

 

Our Approach  

  • Tailored solutions facilitate the success of campaigns in Sales and Marketing.

  • The marketing outcome obtained from analytics provides valuable insights in customer preferences and behaviour.

  • Application of analytical methods guides interpretation, based on modern tools and methodologies.

Tip: Did you know, alternative approaches to marketing analytics help to unlock potential for successful sales and marketing.

   

 

 

Our Services in Marketing Analytics

Segmentation and Classification 

Identifying and valuing profitable customer and business segments to support marketing and sales initiatives. 

Tip: Did you know, on average 80% of your sales come from 20% of your customers!

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Churn Prediction 

Preserving customer relationships should be supported by Churn Prediction Models for insightful information about drivers of churn. Through Churn Prediction, identify the customers that are likely churners and give your company time to act. At Auriscon, we support in predicting churn. Secure our assistance.

Tip: Customer Retention achieved by lowering the churn rates is important for increasing profits. 

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CLV Analysis 

Model concepts and developments covering

Under Concstruction...

 


Illustration of our support in Marketing Analytics

At Auriscon we can support on-site or by working remotely based on flexible allocations. We assist teams and stakeholders in attaining the marketing goal. A few examples of how Auriscon can support your marketing initiatives are shown below for illustration.  

OBJECTIVE

HOW

 

 
 

Explorative Data Analysis for identifying Customer preferences and behaviours

  • Analyzing customer transactional data and identifying customer preferences.
  • Assigning RFM scores to establish insights into valuable customer behaviour.
  • Supporting marketing to assess customer groups and marketing channels.



 

 

Customer and Business Segmentation

  • Segmentation into Customer groups and Marketing channels using modern statistical approaches.
  • Predictive scoring and classification methods to promote insights into valuable segments.
  • Support to product marketing to adjust different customer groups based on transactional data for direct marketing.
  • Inspecting customer behavior pattern and identifying valuable customer segments.

 

 

 

 

 

Under Construction: Churn Prediction

Predicting Customer Churn using multiple method approaches.

Identifying root causes and factors from survey and transactional data.

Interpreting outcome of Churn Prediction to assist implementation of targeted retention strategies.

Detecting

  • tbc
  • under construction

  

 
 

Under Construction: CLV Boosts

  • Under construction:.

tbc

under construction ...

 

 

 

  

 
 

Scenario Analytics

Under construction: Building and preserving customer relationships should be supported by insightful analytics, tools and data. At Auriscon, we support in deliver exactly this with our assistance in scenario analytics.

Approach

  • Under construction
  • Identifying profitable customers.
  • Identifying causal drivers