3 Ways to Help CMOs Increase Consumer Engagement and Drive Marketing Performance
A Data Lens, personalized- 25698Murphy ≡ DeepGuide
How Geofencing Is Shaping the World Around You
Geofencing is a location-based technology, that is opening up a new world of possibilities- 26674Murphy ≡ DeepGuide
7 Uses of Marketing Data Science
What is Marketing Data Science- 25716Murphy ≡ DeepGuide
The Secret to Better ROI: Implementing a Full-Funnel Marketing Approach
Building deeper connections with customers while driving lower funnel efficiencies.- 28664Murphy ≡ DeepGuide
Media Mix Modeling: Technical Guideline to Avoid Pitfalls for Data Scientists
How to Understand Outputs and Maximize its Practical Application- 20741Murphy ≡ DeepGuide
From analytics to actual application: the case of Customer Lifetime Value
Part one of a comprehensive, practical guide to CLV techniques and real-world use-cases- 25505Murphy ≡ DeepGuide
The hidden cost of data quality issues on the return of ad spend
Your data has a lot of things to say about which customers turned out to be money in the bank and which ones didn’t. Regardless of whether you work as a Lifecycle Marketing Manager in a B2B company where you optimize for driving free trials to paid- 24035Murphy ≡ DeepGuide
Leveraging Machine Learning for Effective Marketing Strategy Development
Tips and tricks for successful building of a marketing strategy using ML- 30059Murphy ≡ DeepGuide
Congrats on your Customer Lifetime Value prediction model – now what are you going to do with
An obsessively detailed guide to Customer Lifetime Value techniques and real-world applications- 26357Murphy ≡ DeepGuide
Example Applications of K-Nearest-Neighbors
Why the simple algorithm is more practical than you think- 21845Murphy ≡ DeepGuide
Comparing Apples to Oranges with python
You may think comparing apples to oranges is misguided or illogical, but in reality, we all do it daily – it’s the essence of hard decisions. Choosing between an apple or an orange poses a challenge, unlike deciding between one apple or two- 22123Murphy ≡ DeepGuide
Customer Lifetime Value Prediction with PyMC-Marketing
Explore the Depths of Buy-till-You-Die (BTYD) Modeling and Practical Coding Techniques- 27522Murphy ≡ DeepGuide
Methods for Modelling Customer Lifetime Value: The Good Stuff and the Gotchas
Part three of a comprehensive, practical guide to CLV techniques and real-world use-cases- 27439Murphy ≡ DeepGuide
From insights to impact: leveraging data science to maximize customer value
Uplift modeling: how causal machine learning transforms customer relationships and revenue- 23970Murphy ≡ DeepGuide
A Comprehensive Introduction to Marketing Data Engineering
Fundamentals, responsibilities, and challenges- 25939Murphy ≡ DeepGuide
Market Basket Analysis Using High Utility Itemset Mining
Finding high-value patterns in transactions- 29973Murphy ≡ DeepGuide
Powerful Collaboration of AI Agents with CrewAI
A hands-on marketing use case- 27033Murphy ≡ DeepGuide
How to Create an RFM Model in BigQuery
Learn what an RFM model is, how to create one, and how to segment on the results- 30014Murphy ≡ DeepGuide
Ways of Improving Your RFM Model in BigQuery
Advanced Strategies for Better Customer Insights- 20736Murphy ≡ DeepGuide
From Probabilistic to Predictive: Methods for Mastering Customer Lifetime Value
The final chapter in a comprehensive, practical guide to real-world applications of CLV analysis & prediction- 23080Murphy ≡ DeepGuide
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We look at an implementation of the HyperLogLog cardinality estimati
Using clustering algorithms such as K-means is one of the most popul
Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag