🦘 The Grouparoo Monorepo - Open Source Marketing Infrastructure

Easy computation of Marketing Metrics in R

A PoC for a fractional attribution model leveraging first order Markov Chains.

A segmentation engine for Django user models

Notebooks on some of the past data analysis and data science projects I've done

This is one of the first and main programs i made for 99

tinyCampaign is a simple and lightweight newsletter system built on a nice Bootstrap and the Liten framework.

An analysis of the shaving blades market in the United States.

Smart India Hackathon 2019

Just a repo full of infinity stones

Marketing Analytics

Customer segmentation is the practice of dividing a customer base into groups of individuals that are similar in specific ways. You can provide different value propositions to different customer groups. Customer segments are usually determined on similarities, such as personal characteristics, preferences or behaviours that should correlate with the same behaviours that drive customer profitability.

A Creative Compilation of Knowledge Collectives about Digital Marketing

real-world messy problems :: independent analysis and impact

R-scripts

This repository contains solutions to marketing problems using statistical analysis

Increase sales and customer satisfaction with smarter SMS campaigns, instant OTPs, notifications, surveys & more

Brand Choice, Revenue and Descriptive Statistics by Customer Segments

R for marketing analytics

Analyse customer segmentation, sentiment on product review, and built a product recommender system

🎯 Social CRM Office (SCRM) is a Social CRM 🎎 (Social Customer Relationship Management) suite for SMB (small and medium-sized business) for Microsoft Windows 10, server 2016, server 2019 🎯.

retention rates by cohorts for online retailer

Understanding the main factors that influence the deployment of solar energy in the residential sector in the USA.

To identify best and valuable customers for the company, to analyse the customer needs and wants & develop marketing strategies to retain them and invest in the right customer category to increase company profits. Implement Customer LifetTime Value (CLTV) in order to distinguish customer based on their potential lifetime profits, thus invest in long term customer relationship strategy for the customer segments.

This project aims at identifying potential customers to target by predicting their income levels.

R code for estimation of latent class logit model with aggregate data

The project aims at analyzing the data generated in a marketing campaign carried out by a banking institution to convince potential customers to invest in a bank term deposit scheme.