The Scientific Marketing Group

viernes, 26 de octubre de 12

The Scientific Marketing Group


Scientific market driven analysis for strategic marketing decisions”

MISSIONTo understand, quantify and forecast customer behavior by optimizing strategic decisions and generating sustainable unique competitive advantages





METHODOLOGYTSMG™ model combines predictive analytics and experimental economics, integrating information sources that enable internal and external understanding and measuring of customer behavior to define customer-focused marketing strategies.

Analysis and diagnosisData aggregation and simplified visualization (Big Data).Quantification and prediction of behavior and value drivers.

Customer strategiesDefining value propositions based on customer strategies.

INTEGRATION OF INFORMATION SOURCES CUSTOMER JOURNEY MAP









What is experimental economics?

IT IS A SCIENCEthat applies laboratory methodsfor understanding how peoplebehave when making theirpurchase decisions based onrational and irrational variables andquantification of this impact.





·· Consumers make decisions in a controlled environment (laboratory, mobile or online). ·· All the consequences affect them, such as cash payments or purchase of products. ·· They react as they would do in real situations.·· We analyze and anticipate consumer behaviour in front of different marketing mix proposals.·· We identify purchase process key variables (Value Drivers).·· We quantify the impact of each variable.·· We carryout demand forecasts and estimates based on changes in the studied variables.

EXPERIMENTAL ECONOMICS





What is predictive analysis?

SELECTION, HARMONIZATION, EXPLORATION AND MODELINGprocess for large volumes of internal and external data to generate empirical evidence on the behavior of different customer segments and predict how they will react to potential action by the company and its competitors, as well as changes in the environment.





How we do it?

·· Integrating business data with external data from reliable sources (official statistics) and dynamic environment (social media).

·· Applying advanced segmentation techniques from relational history between the customers and the company.

·· Developing statistical models, predicting consumer behavior and actions in different environments from a probabilistic manner.

PREDICTIVE ANALYSIS

·· Using quantitative tools for decision making and optimization to integrate the obtained information in the process of business decision.

·· Visualizing the results in an interactive and friendly way.





What is the purpose?

·· To develop advanced segmentation strategies, identifying and developing key segments and being able to provide customized offers.

·· To anticipate and understand patterns of customer behavior: churns prevention, etc..

·· To identify the main reasons that defines consumer behavior.

·· To determine the most significant market trends.

PREDICTIVE ANALYSIS

·· To generate consumer-insights and integrate them into strategic planning and decision making processes of the company.

·· To carry out sales projections and use them for optimizing logistics decisions.

·· To convert unstructured information into real and useful knowledge.





Customer strategies

CUSTOMER EXPERIENCE MANAGEMENT (CEM)is the set of processes for monitoring, supervising and organizing all the interactions between a client and the company through all the channels and throughout the life cycle of the customer.





How we do it?

·· Using the Customer Journey Map we identify all the touch-points between the the customers and the company to design experiences based not only on functional variables, but also on emotional variables.

·· Both types of variables set the optimal customer experience which converts satisfied customers into loyal customers, being more profitable for the company.

CUSTOMER STRATEGIES

·· To establish effective customer loyalty programs.

·· To enhance brand positioning.

·· To create brand ambassadors.

·· To obtain feedback from the client.

·· To develop anti-churn programs.

·· To optimize the creation of the product / service portfolio.

What is the purpose?









SOLUTIONS FORDECISION MAKINGthrough the combination ofevidence-based techniques(predictive analysis andexperimental economics) andcustomer marketing strategies.





SERVICES





SERVICES


1. Marketing + Science: Unique model of knowledge combining experimental economics and predictive analysis to define customer marketing strategies.

2. Multidisciplinary team of scientific experts on behavior and experimental economics as well as strategic marketing and business implementation consultants.

3. Academic and business expertise: over 10 years with more than 200 experimental sessions for 60 research projects and application to companies worldwide.

4. Output based on the analysis of empirical data.

5. Projects with high ROI and quick payback.

6. Worldwide implementable projects.

7. With the guarantee of Lineex: Laboratory for Research in Experimental Economics (Valencia University).


Scientific market-driven decisions.

www.sci-marketing.com


http://www.sci-marketing.com

http://www.sci-marketing.com

Business

The Scientific Marketing Group