Questions tagged [marketing]
For on-topic questions about statistics or machine learning used in marketing or market research.
145
questions
0
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0answers
32 views
Influence of TV spots on the number of visits to the website (time series problem)
I have hourly data regarding the number of visits to the website. A single record consists of date, time(0-23) and number of visits. In a separate table I have data about the display of advertising ...
0
votes
0answers
21 views
BTYD R package. Why dropping the first puchase in the BG/NBD model?
I am using the BTYD package on R to estimate the probability of a customer churning after my calibration period. At the moment, I have been following the walkthrough provided on the web which you ...
0
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2answers
35 views
Email marketing campaign test design
We are designing an email campaign with multiple email touch points. And we are trying to understand the incremental value of each additional touch point. Our experimental design will be that the ...
0
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0answers
13 views
Is Beta-Geometric a continuous mixture or a multi-level Bayesian model?
Bruce Hardie, an authority on statistical marketing wrote this reference, which covers various probabilistic methods for various marketing use cases. Specifically, on slide 23 he details a Beta-...
1
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1answer
125 views
Why do Pareto/NBD models require custom likelihood functions in PyMC3 and Stan?
I'm interested in Bayesian modeling of customer lifetime value (CLV), preferably via PyMC3. I've found that research in this area started mid-to-late 1900's and has remained active since. It would ...
2
votes
1answer
28 views
How do i calculate if the difference between two advertisement campaigns is significant?
My brother has asked me if I can evaluate if his advertisement campaigns yield significantly different results. It was a couple of years ago I dealt with these kinds of problems, so would appreciate ...
1
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0answers
19 views
How can I attribute how much sales volume came from each medium in a log-log market mix model?
So I started off with this regression equation:
$$
sales = \beta_{d}*{(ds_{t} + (ar_{d} * ds_{t-1})})^a_{d} + \beta_{tv}*{(tv_{t} + (ar_{tv} * tv_{t-1})})^a_{tv} + \beta_0
$$
Where $ds$ is the amount ...
0
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0answers
8 views
I am trying to find concurrent validity between a choice based conjoint analysis attribute and an existing scale? how do I conduct this function?
I'm struggling with my research. I conducted a choice-based conjoint analysis. One of the attributes is the level of adoption by friends (i.e. 0% have adopted the product, 50%.., 100%...)and I have a ...
3
votes
1answer
181 views
Poisson regression for market media modeling?
I put together a related question linked for added context; it generally overviews a model proposed by Google in 2017 for (Marketing) Media Mix Modelling (MMM.) The model updates the pretense of MMM ...
2
votes
0answers
265 views
PyMC3 implementation of Bayesian MMM: poor posterior inference
Google released a whitepaper on Media Mix Modelling (MMM) in 2017; vanilla MMM (established in the 1960s) uses multivariate regression. It's a decent mechanism to understand which of your marketing ...
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0answers
20 views
How are gradients of series of computed?
I've been reviewing a 2017 paper by Google where they expand media mix modelling (MMM) into a Bayesian framework. Vanilla MMM is just OLS regression where X is marketing spend on M unique channels ...
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0answers
11 views
How to compare and evaluate different business concepts?
Don't ask me how exactly I came up with this question but I wonder about the following:
Assume you want to compare different offers in how requested (and/or how profitable) they are. In addition, due ...
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0answers
19 views
STATA mle function for Mcfadden MNL model
I am estimating the covariates for an aggregate market data set. I am aware of the pre-existing STATA packages out there like mlogit, clogit etc.., however they do not fit my case as I am working with ...
0
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0answers
42 views
How can I improve the CLV accuracy from lifetimes model?
Not sure whether this should be asked in StackOverflow or here, but I believe this question is most about statistics, so I'll try it here.
So I was modelling the Customer Lifetime Value using ...
0
votes
0answers
18 views
Confidence Interval as a feature in supervised learning?
Imagine a model that predicts the probability that a given online ad will be clicked by a given user.
One of the features is the click-through rate (CTR) of the user (...
1
vote
1answer
66 views
Bayesian Multiple Item Response Models?
I am trying to extend the ideas of item response theory to multiple responses. Consider a marketing survey, which asks customers, "what's the deciding factor in whether or not you purchase ...
0
votes
1answer
89 views
Market Mix Modeling using Random Forest
I am trying to build a random forest-based market mix model, wherein I want to calculate the contribution of each of my X variables towards the target. Typical MMM problem statement, but here am not ...
0
votes
1answer
129 views
Bayes theorem in advertising [closed]
I am new to Bayes theorem, and was wondering if anyone can guide me through this question.
An advertising agency want to analyze the advertisements for a product. They want to target people from all ...
2
votes
1answer
102 views
Design of experiments and building a logistic-regression-like model
Consider a population characterized in terms of a small number of categorical features (age category, income bracket, gender, level of education, etc.). I am interested in how these features affect ...
0
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0answers
52 views
Modelling Funnel data with a regression approach
I have the following marketing dataset:
Two years of weekly brand from the YouGov BrandIndex, based on a survey. It includes
Awareness
Consideration
Purchase Intent
Sales
Media Invest into Channel 1 (...
0
votes
0answers
24 views
Using macroeconomic variables in Market Mix Model
I am building a market mix model from proprietary data to predict sales. I would like to include macroeconomic variables as well, such as unemployment rate and consumer confidence.
However, the ...
1
vote
0answers
19 views
Choose t-test or ANOVA for personalized ad effectiveness within each cohort?
I've got 10 cohorts(determined by ML clustering) of customers I can target for customer personalization ads.
The experimental design is that I send out a known standard personal ad(based on cohort ...
0
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0answers
35 views
T-test for marketing data in excel
I am currently running an A/B test, and I’m not sure how I should be arranging my data to run a t-test in excel. I have 1 control and 2 variations that I am running for an advertising campaign - the ...
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0answers
35 views
Statistical Significance: Can we apply the concept of Statistical Significance when reading the results of AI driven marketing?
Really need to know this from someone who really understands statistical significance.
Can we apply Statistical Significance when reading the results of AI driven marketing?
Challenge:
Large ...
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0answers
84 views
Understanding how to calculate removal effects in a markov chain
I am currently trying to model a Marketing Multi-Channel Attribution. All the articles and the packages I have come across use a special "start" state and the removal effect is calculated ...
1
vote
0answers
14 views
marketing hypothesis test sample size calculation
I am trying to design a coupon promotion test to measure the increase in the volume of orders from promotion versus no promotion. To do so, I want to calculate the pre-group sample size required to ...
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0answers
47 views
Sample Size Calculation - Two Gamma Distributed Mean
I have a similar question to Sample Size Calculation - Two Independent Means, in my case, I am measuring the number of orders our customer make which follows a gamma distribution I believe. How could ...
8
votes
2answers
836 views
Poisson Gamma Mixture = Negative Binomially Distributed?
This paper introduces a model called "Beta-Geometric / NBD" which models "repeat-buying behavior in settings where customer “dropout” is unobserved: It assumes that customers buy at a ...
2
votes
1answer
157 views
Sample Size Calculation - Two Independent Means
I am trying to design an email test to measure the demand lift obtained from a marketing promotion (treatment) versus no promotion (control). To do so, I want to calculate the per-group sample size ...
3
votes
2answers
52 views
Email open-rate test
We ran an AB test for four days, sending our clients the same emails but with different headings, in order to know which header logic is better (i.e. has has the highest Open Rate (OR) = openings/ ...
0
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0answers
18 views
Bibliography for Retail & marketing Analytics
I'm looking for some sources about statistical techniques than can be applied for marketing within retail industry (e.g. Coca-Cola, Pepsi, Heineken, and so on)
I'm truly interested, by example in Key ...
1
vote
0answers
14 views
It is possible to use Time series to predict wether a marketing action is a success or not
Is it possible to use time series could be used to forecast the implementation of an offer ?
Following I am describing an example about how to implement that, is it valid?
Can I use ARIMA time series ...
0
votes
2answers
67 views
Interpretation of the Linear regression model using ggplot2
I used ggplot() for visualization and linear regression in R for this model.
I am not confident if I interpreted the model right. These are my thoughts. The $p$-...
0
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0answers
31 views
A/B testing use case
I am learning A/B testing and so far I have learned the theory and am trying to solve some use cases. I am working on a website data which has total visits and clicks at day x country x test/control ...
0
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0answers
28 views
Modeling Marketing Sales
I am working on a problem in which I have daily Sales and daily Offline and Online Marketing Spends. I built a linear regression model where Sales = f(Online Spend, Offline Spend, Lag Sales) at rolled-...
0
votes
1answer
17 views
What statistics can I apply to explain how much socio demographics influence revenue?
I'm looking to explain the revenue made by a coffee shop based on socio demographic data like gender, population, ...
1
vote
0answers
16 views
rule of thumb for generalizing observations to population
I recently had a question from a co-worker, “How big a sample would you need to feel comfortable communicating figures?”
My answer was two part:
1) if we’re trying to show something made a ...
1
vote
1answer
28 views
How to model energy production capacity
I am doing a market research for wind energy production capacity (in megawatt) in an African country. I have data about the wind energy production capacity over the years. It looks like the following :...
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vote
0answers
202 views
Can I estimate base sales in a Marketing Mix Model (MMM) with muddled promotional data?
I am building a marketing mix model (MMM) for an online casino, but they regularly run promotions and marketing campaigns that overlap. Trying to determine a baseline level of sales has been difficult....
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vote
0answers
10 views
How to calculate the amount of a dependent variable that was owing to an independent variable
I have run a regression analysis on some radio marketing activity and its effect on the number of website users, however, I was wondering if there was a way to then use this to calculate the amount of ...
0
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0answers
13 views
Is Kruskall-Wallis H test suitable to influence marketing plan after survey?
I've run a survey which received around 270 responses from a population of around 5,500. The survey asks brief demographic questions followed by opinion questions, akin to the following:
Demog Q 1: ...
0
votes
1answer
36 views
Data Pre Processing Regression Analysis
I am preparing a regression analysis of sales data and advertisement data. The sales data is from Monday to Sunday, but Sundays have a value of 0 because the store is closed. The advertisement data ...
0
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0answers
54 views
A/B testing with conversion rate higher than 1
I encountered the following issue with A/B testing.
Imagine that you have a website where visitor are crazy and that they buy a lot of items each time they visit. The conversion rate of each version ...
0
votes
1answer
135 views
Basic AB Testing with R
Suppose there is an email campaign for customers.
There are two equally divided groups A and B.
B received an email with "Offer ends this Saturday. Use code B!". A did not receive the email.
How ...
0
votes
1answer
72 views
ARIMA Time Series Simulation - Media Mix Model
I have designed and tested a time series model where I am able to examine the impact of various marketing channels on dependent variables (Such as sales, revenue, website traffic, etc).
The model has ...
0
votes
1answer
75 views
Marketing mix model with marketing campaigns that are not consistent?
So we got sales data for six months which has 4 different marketing type campaigns running. One of them is in-store which runs for 3 months only. Another campaign is social which has the least spend ...
0
votes
2answers
193 views
Validity assessment of multiple regression marketing mix model
My employer has engaged a consultancy firm to carry out marketing mix modeling in order to quantify the impact of various marketing activities and promotional campaigns on overall sales and also for ...
1
vote
0answers
39 views
Hierarchical Factor Analysis - Analyzing the factor structure of an identified factor
Problem Summary
After performing an exploratory factor analysis one of the resulting factors "contains" a lot of variables which make its interpretation very hard.
Since all the other factors have a ...
6
votes
1answer
605 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 (...
1
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0answers
31 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 ...
