- 3 Ways to Help CMOs Increase Consumer Engagement and Drive Marketing PerformanceA Data Lens, personalized
- 25758Murphy ≡ DeepGuide
- How Geofencing Is Shaping the World Around YouGeofencing is a location-based technology, that is opening up a new world of possibilities
- 26725Murphy ≡ DeepGuide
- 7 Uses of Marketing Data ScienceWhat is Marketing Data Science
- 25759Murphy ≡ DeepGuide
- The Secret to Better ROI: Implementing a Full-Funnel Marketing ApproachBuilding deeper connections with customers while driving lower funnel efficiencies.
- 28706Murphy ≡ DeepGuide
- Media Mix Modeling: Technical Guideline to Avoid Pitfalls for Data ScientistsHow to Understand Outputs and Maximize its Practical Application
- 20785Murphy ≡ DeepGuide
- From analytics to actual application: the case of Customer Lifetime ValuePart one of a comprehensive, practical guide to CLV techniques and real-world use-cases
- 25547Murphy ≡ DeepGuide
- The hidden cost of data quality issues on the return of ad spendYour 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
- 24077Murphy ≡ DeepGuide
- Leveraging Machine Learning for Effective Marketing Strategy DevelopmentTips and tricks for successful building of a marketing strategy using ML
- 30100Murphy ≡ DeepGuide
- Congrats on your Customer Lifetime Value prediction model – now what are you going to do withAn obsessively detailed guide to Customer Lifetime Value techniques and real-world applications
- 26396Murphy ≡ DeepGuide
- Example Applications of K-Nearest-NeighborsWhy the simple algorithm is more practical than you think
- 21885Murphy ≡ DeepGuide
- Comparing Apples to Oranges with pythonYou 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
- 22160Murphy ≡ DeepGuide
- Customer Lifetime Value Prediction with PyMC-MarketingExplore the Depths of Buy-till-You-Die (BTYD) Modeling and Practical Coding Techniques
- 27559Murphy ≡ DeepGuide
- Methods for Modelling Customer Lifetime Value: The Good Stuff and the GotchasPart three of a comprehensive, practical guide to CLV techniques and real-world use-cases
- 27474Murphy ≡ DeepGuide
- From insights to impact: leveraging data science to maximize customer valueUplift modeling: how causal machine learning transforms customer relationships and revenue
- 24007Murphy ≡ DeepGuide
- A Comprehensive Introduction to Marketing Data EngineeringFundamentals, responsibilities, and challenges
- 25975Murphy ≡ DeepGuide
- Market Basket Analysis Using High Utility Itemset MiningFinding high-value patterns in transactions
- 30008Murphy ≡ DeepGuide
- Powerful Collaboration of AI Agents with CrewAIA hands-on marketing use case
- 27069Murphy ≡ DeepGuide
- How to Create an RFM Model in BigQueryLearn what an RFM model is, how to create one, and how to segment on the results
- 30052Murphy ≡ DeepGuide
- Ways of Improving Your RFM Model in BigQueryAdvanced Strategies for Better Customer Insights
- 20775Murphy ≡ DeepGuide
- From Probabilistic to Predictive: Methods for Mastering Customer Lifetime ValueThe final chapter in a comprehensive, practical guide to real-world applications of CLV analysis & prediction
- 23118Murphy ≡ DeepGuide
 1 2
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
