Topic: marketing-analytics Goto Github
Some thing interesting about marketing-analytics
Some thing interesting about marketing-analytics
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.
User: aadimangla
marketing-analytics,A repo of my marketing analytics projects that cover digital attribution models and social media analytics.
User: adil-w
marketing-analytics,Smart India Hackathon 2019
User: adityaprakash-bobby
marketing-analytics,Marketing analytics with Python, churn prediction, AB testing, RFMT segmentation, cohort analysis, customer lifetime value
User: alekseishar
marketing-analytics,End-to-end marketing and business analysis projects utilizing machine learning and statistical analysis techniques using the R programming language.
User: anita-owens
marketing-analytics,Crafting & testing a dynamic Recency-Frequency-Monetary model as published in Towards Data Science on Medium.com
User: at-tan
marketing-analytics,R client library for the Google Ads API
Organization: banboo-data
Home Page: https://banboo-data.github.io/r4googleads/
marketing-analytics,This repository contains mall customers clustering analysis. This repository also uses SAS Enterprise Miner to perform clustering and identify each cluster's characteristics. Full explanations about this repository can be seen on: https://medium.com/@caesarmario/mall-customers-clustering-analysis-da594bd2718b
User: caesarmario
marketing-analytics,Customer Segmentation Analysis with RFM, using Python and Power BI.
User: daniel-isidro
marketing-analytics,Project for customer management in the Marketing Analytics Department of a large retail bank. The aim of this project is to know which marketing activity effectively retains customers. We have information about individual customer profitability (CLV) and a survey was conducted as well. A research model explaining/predicting individual customer profitability is expected, along with a theoretical rational for these hypotheses and test the hypotheses. Multiple independent variables very tried to come up with some meaningful conclusions.
User: dixitamol
marketing-analytics,Karpiu is a package designed for marketing mix modeling by calling Orbit from the backend. Karpiu is still in its beta version. Please use it at your own risk.
User: edwinnglabs
Home Page: https://edwinng.com/karpiu/
marketing-analytics,Unified and privacy-centric event data collection for digital analytics
Organization: elbwalker
Home Page: https://www.elbwalker.com/
marketing-analytics,Analyse customer segmentation, sentiment on product review, and built a product recommender system
User: gitakartika
marketing-analytics,A Creative Compilation of Knowledge Collectives about Digital Marketing
User: gokulsan
marketing-analytics,🦘 The Grouparoo Monorepo - open source customer data sync framework
Organization: grouparoo
Home Page: https://www.grouparoo.com
marketing-analytics,A segmentation engine for Django user models
Organization: groveco
marketing-analytics,An analysis of the shaving blades market in the United States.
User: harshbg
marketing-analytics,This repo contains the project details of the Applied Data Science Course, which is Marketing Mix Models regarding the advertising response measurement.
User: iamcici0424
marketing-analytics,Marekting campaign analytics by using machine leraning for classification and clustering
User: iqbalhanif
marketing-analytics,A PoC for a fractional attribution model leveraging first order Markov Chains.
User: jerednel
marketing-analytics,This is a C# .NET service wrapper for Google Analytics Reporting v4 that accepts Metrics, Dimensions and other parameters and returns a DataTable with the result.
User: joemoceri
Home Page: https://joemoceri.github.io/google-analytics-service-dotnet/
marketing-analytics,Predicting Customer Lifetime Value
User: k-bosko
marketing-analytics,Brand Choice, Revenue and Descriptive Statistics by Customer Segments
User: k-bosko
marketing-analytics,Price Elasticities and Purchase Incidence Model
User: k-bosko
marketing-analytics,Notebooks on some of the past data analysis and data science projects I've done
User: karanm14
marketing-analytics,This repository contains my academic marketing and customer data analytics related projects using R and SQL.
User: kimonokimo
marketing-analytics,
User: lovenui
marketing-analytics,A Python package for the Bass Diffusion Model for forecasting product adoption.
User: marmiskarian
marketing-analytics,The Ads Lab - Development Roadmap - Our platform combines with your customer data and ours to de-anonymize your website traffic. Our platform is being used to identity 30% of anonymous website traffic.
Organization: merchantprotocol
Home Page: https://app.theadslab.io
marketing-analytics,A open source tool for collating publically available contact information for businesses.
User: mickeyuk
marketing-analytics,What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python.
User: mukulsinghal001
Home Page: https://mukulsinghal001-customer-lifetime-model-de-streamlit-app-t3zaq6.streamlit.app/
marketing-analytics,This is one of the first and main programs i made for 99
User: nicolasmelo1
marketing-analytics,tinyCampaign is a simple and lightweight newsletter system built on a nice Bootstrap and the Liten framework.
User: parkerj
Home Page: https://tcdemo.us/
marketing-analytics,EcommerceTools is a Python data science toolkit for ecommerce, marketing science, and technical SEO analysis and modelling and was created by Matt Clarke.
User: practical-data-science
marketing-analytics,
User: rachelpengmkt
marketing-analytics,rtdl makes it easy to build and maintain a real-time data lake
Organization: realtimedatalake
Home Page: https://rtdl.io
marketing-analytics,Increase sales and customer satisfaction with smarter SMS campaigns, instant OTPs, notifications, surveys & more
Organization: resquiller-technologies
marketing-analytics,Connectors for interacting with popular APIs and services used in marketing analytics via clean and concise Python code.
Organization: route1io
Home Page: http://route1.io
marketing-analytics,JavaScript SDK for RudderStack - the Customer Data Platform for Developers.
Organization: rudderlabs
Home Page: https://www.rudderstack.com
marketing-analytics,The python version of the lab exercises from the coursera class Foundation of marketing analytics.
User: skacem
marketing-analytics,Data-Science Python courses from DataCamp
User: skupriienko
marketing-analytics,The enterprise-grade behavioral data engine (web, mobile, server-side, webhooks), running cloud-natively on AWS and GCP
Organization: snowplow
Home Page: http://snowplowanalytics.com
marketing-analytics,Market Watcher is a blog about economic-related news 💹
User: spieredd
Home Page: market-watcher.vercel.app
marketing-analytics,Analyze your marketing data by AI & ML algorithms without a single-line of code.
Organization: super-chain
Home Page: https://www.ai-marketer.tech
marketing-analytics,Welcome to the new era. One of the biggest challenges when studying the technical skills of data science is understanding how those skills and concepts translate into real jobs, like growth marketing. The main idea is to demonstrate how with Python skills you can make the best marketing decisions based on data. In this project, through Python, using packages such as pandas, I perform an analysis of marketing campaigns using machine learning, taking into account the different metrics such as CTR, conversion rate, or retention rate of each social network, to learn how to analyze campaign performance, measure customer engagement, and predict customer churn, to improve company's marketing strategy.
User: valenserimedei
marketing-analytics,Data Science Learning Notes
User: vanessaaleung
marketing-analytics,Data Science Case Studies
User: vanessaaleung
marketing-analytics,:rotating_light: Resources :briefcase: to learn/practice :dart: Marketing analytics :chart: :rotating_light:
User: vkoul
marketing-analytics,Easy computation of Marketing Metrics in R
Organization: y-bar
Home Page: https://y-bar.github.io/mmetrics/
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