Questions tagged [marketing]
For on-topic questions about statistics or machine learning used in marketing or market research.
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14 views
Estimate with 90% confidence, the mean size
The operations manager of a vehicle manufacturing plant in London wants to estimate the average size of an order received. An order is measured by the number of vehicles shipped. A random sample of ...
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12 views
Training a ML Model with more observations and same individual and interaction terms
I have a model about marketing to classify customers in groups based on their relationship duration to our product. I have as example a marker about long:1 if people are connected to the firm more ...
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80 views
Interpreting interaction term on highly correlated variables
Somebody at a meeting today made the following comment about a Marketing Mix Model (Linear Regression) we run every year.
We should account for the high collinearity of the two Marketing Variables (...
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25 views
Comparing populations with multiple variables
My datasets represent the sales of a company with the phone calls they made to promote the products (some zones have sales but no phone calls). I also have the total population per zone which I Can ...
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0answers
27 views
Optimize an objective based on a trained model
I want to find a joint optimal subset based on individual scores from a predictive model.
Example:
Say I have a set of customers and a set of products. And I have trained a model for predicting the ...
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1answer
22 views
What methods could/should I use for identifying sub-groups in a customer segmentation?
I am working on a segmentation model that has been fed into the company by an external agency which created the segmentation based on surveys. I have a number of 6 attitudinal segments and after ...
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1answer
22 views
Does statistical significance impact uplift calculation for marketing campaign
I'm trying to understand 2 things in relation to calculating uplift from a marketing email campaign:
Impact of statistical significance
Impact of highly skewed data on calculating uplift
The ...
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0answers
6 views
Evaluating individual Open-Rates in Email Marketing
at my company, we use email marketing to engage with our users, and I want to evaluate their performance.
The standard metrics for that would be Open Rate, Click Rate, and Click-to-Open Rate. Take ...
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1answer
13 views
Mediation - uniqueness of coefficients
My question is general to mediation but perhaps best illustrated with example. I have the following situation from marketing - TV GRPs drives Paid Search clicks, and I suspect both of these ...
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1answer
15 views
Marketing Promotion modelling, effects of a competitor's promotions
I am modelling the impact of a manufacturer's promotions onto it's sales using a regression model. Furthermore, I intend to include the effects of competitor A's promotions onto the manufacturer's ...
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0answers
8 views
Marketing Funnel Percentage Calculations
I implement a marketing funnel in python and I have an issue around the topic that I can't solve neither in statistical level.
Lets say that we have the funnel A which contains
...
3
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1answer
21 views
Coding a variable in regression that decays and goes negative and then to zero
In marketing analytics, there is a concept of adstock link
that captures through a variable transformation, the decaying impact of an advertising stimulus on demand. Finding the optimal adstock rate ...
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18 views
Attribution Models reset goal after conversion
I'm building an Attribution Models service like Google's Analytics Attribution Models. I already implement the most of the service but there are some questions about reset the goal after conversion ...
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46 views
Rating Scale Data: MoE vs Chi-Square vs WMW Rank Sum Test
I am working with Likelihood to Recommend metric that's measured on a scale of 1-10. The objective is to test for statistically significant improvement/decline (period over period) in the metric. On a ...
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25 views
Advice on ML ideas/models for a data set I have [closed]
I have a very large marketing data set (300GB in size) and I am wondering what ML models I can apply to it. The dataset consists of transactional data from supermarkets. The type of data I have is the ...
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0answers
17 views
regression with percentage DV and multiple dummy IV
I am running a market analysis about e-mail responses for my marketing class.
I have the following data entries:
Observations: 400 different sequences of e-mails where sent to different target ...
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0answers
20 views
Statistics for Market research [duplicate]
I'm looking for some sources in order to learn about Market Research (a statistical approach with R/Python).
You know, the kind of things you must know if you wanna work for Nielsen Kantar, etc.
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1answer
42 views
Controlling for categorical variables when generating logistic regression elasticity curve
Assume we have a multiple logistic regression model with 3 continuous independent variables (x1,x2,x3).
I understand that if we want to create an elasticity curve for a continuous variable of ...
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0answers
39 views
Test the difference between average value of 2 random variables
I am doing an exercise on marketing analysis to determine the strategy that a brand should follow based on historical weekly data collected from supermarkets that sell the brand (let say brand1) and 4 ...
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0answers
33 views
Dilemma concerning prediction of user satisfaction
Imagine that you have data with information about users : Age, sex, location, etc ... with the answer to two additional questions : Q1 = Have you tried product P ? yes/no ; Q2 = Did you enjoy product ...
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65 views
What to do after calculating the required sample size for a Marketing A-B test
This is potentially the most basic stats question ever, but I have spent so many hours searching throughout the internet and am still stuck and am hopeful to find hints here.
What I'll be doing is ...
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0answers
30 views
Dealing with independent variables that are distinct based on levels of categorical variable.
Marketing campaign effectiveness example.
I am trying to model App installs as a function of the following variables
Click through rate
Ad Spend - CPM (Display) and CPC (Paid Search)
Media Type -...
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0answers
29 views
Determining relation between branding spend and sales growth
A company exports a units of product to a distributor in a foreign country. This distributor then sends units to dealers across the country who run shops that sell the product.
Until May 2017, ...
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2answers
119 views
CausalImpact: Valid for Single Market [closed]
Is it possible to use the R package CausalImpact (Brodersen et. al, 2015) to estimate the incremental lift of running a local TV ad campaign in Iowa City,IA? We are also running national TV ads across ...
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2answers
51 views
Coefficient with a high cor and low p-value in a high R² regression. How to interpret?
first time asking something on cross validated.
I'm doing an analysis on the performance of marketing campaigns. I've done a few linear regressions with the dataset trying to explain as much variance ...
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1answer
49 views
How do I measure impact of an intervention of time series without historical data of the same series?
I'm trying to evaluate the impact of an intervention in the most statistically accurate way possible but I'm having a hard time figuring out a way measure incremental growth along with statistical ...
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0answers
70 views
What is the practical difference between different significance calculators for A/B tests?
As background information I could say that we are currently studying A/B testing in University digital marketing class. As I have quite little background in statistics I am little bit wondering about ...
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45 views
Calculate the Probability of a call being answered
We do B2B telemarketing and our main goal is to call someone at a time when the person actually answers the call.
I have divided 8 to 6 workday into ten one-hour blocks. Some people tend to answer ...
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28 views
I found it's very hard to understand a hypothesis in an advertising repetition's effects study
In the meta analysis study by Schmidt & Eisend (2015) which won the Journal of Advertising Best Article Award, I found a hypothesis very hard to understand. I don't know whether I'm wrong or not......
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1answer
245 views
Rstats: From Discrete choice to Conjoint utilities
I'm having trouble figuring out how to correctly calculate Conjoint Part-worth-utility from a Discrete choice experiment.
I have recently run a Pilot study to analyse in R where I used the packages “...
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0answers
85 views
How to choose a ML model when the goal is both reasonable prediction AND inference?
I'm relatively new to machine learning. I have come across the "ML is for prediction not inference” statement but this did not really sink in until my current project, a marketing mix modelling ...
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1answer
65 views
Book or paper recommendations in the field of Marketing and Advertising Statistics
I come from a stats background, but am currently working in a marketing/advertising statistics setting. I would like to see how stats is applied to this field so I don't have to reinvent the wheel. I ...
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0answers
50 views
Statistical Significance on Marketing Experiment
Last week our marketing team did an experiment on discount voucher for a specific product.
Participants were randomly assigned to experimental group and control group.
There are 4 types of voucher ...
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1answer
57 views
Price Analytics - Price range for a product
I have data on weekly, total number of units sold, at what price, any discount, at which store, product details.
like below
For over 3 years for the Product details across 10 stores.
I would like to ...
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1answer
420 views
Application of Pareto/NBD and Pareto/GGG models for customer lifetime value estimates in high churn setting
I have been attempting to estimate customer lifetime value in the context of online classifieds (high churn context) using probabilistic models, chiefly the Pareto/NBD and Pareto/GGG techniques ...
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2answers
669 views
Why isn't the monetary value of the first transaction used in the gamma-gamma spend model?
I've been doing some customer value calculations using the Lifetimes library in python. This library employs the approach found in Fader, Hardie, and Lee's paper on using iso-value curves for customer ...
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0answers
21 views
Is multivariate test basically an ANOVA test? [duplicate]
I always hear marketing folks compare A/B tests to multivariate tests. What is actually a multivariate test? Is it just a multivariate t-test or an one-way ANOVA test? Can someone please give me an ...
2
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1answer
481 views
Why is chi-squared / z-test used for a/b testing in marketing?
I'm fairly new to statistics. After a lot of research on all the different statistical significance tests out there and how to do them, I wonder why the Z test is so common for a/b testing in the ...
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1answer
82 views
What are the knowledge/books needed before learning the Multivariate Data Analysis (Hair et al.)?
Multivariate Data Analysis (Hair et al.) is the most popular book cited in marketing papers. However, I found it hard for me to understand. I have learned basic marketing research in my undergraduate ...
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0answers
26 views
Split testing sending emails: time of day & day of week
My name is Lauren Nickoloff and I work in the marketing department of a small business coaching company.
I'm preparing a split test for the purpose of determining which days of the week and which ...
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0answers
62 views
Marketing Spends Optimization
I have a marketing events for online website where i have different events like
Sequential ->
1) User from Google (P)
2) User from Youtube (P)
3) User from Facebook (P)
4) User Viewed Product
5) ...
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1answer
29 views
Tracking Conversion Rates
My company just completed a major website redesign and launched it a month ago. We're seeing some changes in daily visitors and new signups from the original website (comparing month over month), and ...
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1answer
76 views
How should I shuffle a sample into multiple choice options?
We have a database of 10.000 products, each of them having 5 important features such as color and price. One of the features is the popularity of the product.
I am building an app that quickly wants ...
0
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1answer
142 views
Interest measure for frequent itemsets in databases of different size
Consider a market basket analysis:
Among a certain number of transactions two items sometimes occur together. For simplicity let's assume they always occur together, but not in all transactions.
Now ...
2
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0answers
69 views
References on the misuse of statistics in a business context
I often see statistical abominations in a business context (be it in advertisement, in the way market research is conducted, etc.). I am wondering whether or not the misuse of statistics is a general ...
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2answers
1k views
Multi Channel Attribution Modelling: Using A Simple Probabilistic Model
Please see Chapter 3.2 from this article:
http://www.turn.com.akadns.net/sites/default/files/whitepapers/TURN_Tech_WP_Data-driven_Multi-touch_Attribution_Models.pdf
Here, a method is described by ...
3
votes
1answer
26 views
Best approach to predict how far into process a subject will progress?
I have a seven step process that users can complete but can stop at any time - basically a marketing funnel. At each point along the funnel I am collecting more data.
I want to be able to predict how ...
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1answer
32 views
Methodology for testing segments of an email blast
What's the best test and methodology to use for a scenario for an Email blast wherein I want to measure whether one or another segment group was more likely to Open?
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1answer
4k views
Is it possible to understand pareto/nbd model conceptually?
I am learning to use BTYD package that uses Pareto/NBD model to predict when will be a customer is expected to be back. However, all literature on this model is full of mathematics and there does not ...
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0answers
42 views
Bayesian profile-based customer discovery using demographic data
Consider the problem of estimating the probability of a person being interested in becoming a customer of a service or a buyer of a product, and only data about the current customers is available, ...
