Nicholas John Danenberg


Some pioneering work that Nick invented at EBI:

• NBD-Dirichlet model: developed new methods of fitting the NBD-Dirichlet model. Designed and co-developed the "N-D Fit" web app for fitting the NBD-Dirichlet model.

• Duplication of Purchase analysis: developed the scalable automated approach to Duplication of Purchase for competitive market structure analysis (market basket analysis). Co-author of the canonical reference to DoP analysis: the EB report for Institute sponsors. Designed and co-developed the "Straight DoP" web app for conducting Duplication of Purchase analysis.

• Category Growth analysis: cross-country, cross-category, cross-portfolio performance benchmarking and comparison analysis. Designed and developed the "Growth Analyser" suite of business intelligence dashboards (in Tableau).

• The probabilistic approach to predicting customer loyalty, supplanting intentions (Masters research)

• Brand size adjusted Share of Voice and Dynamic Difference approach to media budgeting (Doctoral research)

In recent years, Nick has leveraged his expertise in market research and analysis further into the area of Data Engineering and Analytics.

His specialties include Data Engineering & Analytics, Expertise in Data Visualisation Tools and Business Intelligence, Marketing, Market Research, Consumer Behaviour, Branding, Advertising and Media.

Nick is an expert in a range of tools and technologies including Snowflake, Tableau, Coda and Python.


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