Questions tagged [marketing]

The tag has no usage guidance.

Filter by
Sorted by
Tagged with
-1
votes
1answer
15 views

How Retail Analytics Project Can Be Done?

I have a project and I couldn't understand what I have to do because I am new with retail analytics. They said "Our goal is to measure the effects of promotion on sales" and "Your goal is to model ...
0
votes
0answers
20 views

Determining users that have been sent too many emails

The experiment is a set of users in a marketing program. We are sending campaigns to the user and want to figure out whether the user is being sent too many emails or not. Suppose you have a dataset ...
0
votes
0answers
14 views

Literature on response models for digital marketing

I am trying to look for recent literature on modeling customer response. For example, suppose we have a data set where we have a user and a time series of all the marketing messages sent to that user ...
2
votes
1answer
38 views

Marketing Mix Model (MMM) using XGBoost?

Does anyone know of any literature on Marketing Mix Modelling (MMM) using XGBoost? Is this a viable techniques for MMM modelling? What would the advantages/disadvantages be? I think it would be a ...
1
vote
0answers
22 views

Learning Marketing Analytics

I'm a application developer and want to switch to Data Science field. I have done basic course in DS. I want to learn marketing analytics, which resources should I refer?
1
vote
4answers
101 views

Which type of model to use and what's my target variable

I am a beginner in Data Science field, so sorry if my question is too basic. The task is to build an ad bidding model for online marketing which allows you to deliver targeted ads to the right ...
1
vote
1answer
103 views

Customer Targeting for CRM Marketing Campaign [closed]

I need help or ideas to solve the below business challenge. Sample questions has been provided. A snapshot of the sample data has been attached below:
-1
votes
1answer
195 views

In reference to Gamma Gamma spend model, is this in any way related to Pareto/NBD, BG/NBD or BG/BB model?

The reason I ask this question is as follows: I am currently in a remote intern position. I've been asked to calculate the Customer lifetime value (past + future) for each customer based on monthly ...
1
vote
0answers
10 views

Which features of a data set can be used for market campaigning using propensity scores?

A dataset contains so many fields in which there is both relevant and irrelevant field. If we want to do a market campaigning using propensity scoring, which fields of the data set are relevant? How ...
-2
votes
1answer
432 views

Predicting customer conversion rates for number of advertisements shown over a time period

Trying to predict total customer conversions for advertisements shown each day across a given time period, and based upon the number purchase made before the period ends USING PYTHON
1
vote
0answers
89 views

How to determine parameters for diminishing return function in a market mix model

I am working on a market mix model ad was trying to apply diminishing returns to GRP values for my media activities. I was confused on how to go about it ,i.e how to decide the parameters for the for ...
1
vote
1answer
98 views

Do you know this S curve's name?

I'm making a ad-sales predictor and try to make it fit by using the S curve's below. $ 𝑓(𝑥)=𝑎 \frac{𝑏𝑥}{1+𝑏𝑥} (1−𝑒^{−𝑏𝑥}) $ $f(x)$ is an ad-sales $x$ is an advertise cost both $a$ and $b$ ...
1
vote
0answers
82 views

Data brokers for market-related data, how to choose, where to look for?

Situation I am doing a data science project for my client. Due to NDA I can't disclose anything to the nature of the project, but let's imagine that they manufacture and sell slow cookers. I faced ...
3
votes
3answers
282 views

Predict time of dispatch for marketing campaign

What would be appropriate models/algorithms/strategies for predicting best individual send times for marketing campaigns based on past response timestamps? Data: Given for example ...
0
votes
2answers
1k views

Develop a marketing look-alike profile for prospective customers

I work for a business-to-business company that has a large database of existing clients (small businesses) with various columns of data (e.g., industry, credit-worthiness, financial data, etc) ...
2
votes
2answers
242 views

Retail Store Testing

I am an analyst who is new to retail store testing (for example: customer response to a store new layout or a new product or process in one or 2 stores). Any suggestions for a good book/blog/any ...
3
votes
1answer
864 views

Prediction model for marketing to prospective customers (using pandas)

I'm currently working on a part-time project which involves predicting the likelihood of customers going to buy a product using data analytics. The company I'm interning with has given me a customer ...
4
votes
1answer
978 views

Classification of potential customers

I have a table with many financial information of thousands of companies around the world (revenue, income, number of employees, total assets etc) and an extra information indicating whether that ...
1
vote
2answers
59 views

How can I use data on customer interactions to drive communication strategy?

I have data on my customers (age, location, gender) and number of interactions with customer by channel (#calls, #sms, #letters) and data on whether they have bought a product (yes/no). I would like ...
3
votes
1answer
55 views

Attributing causality to single quasi-independent variable

Apologies if this isn't the correct place to ask - I'm not sure if this fits best with Stats or Data Science. I'm using analytics to help marketers identify attributes of their users correspond to ...
0
votes
1answer
167 views

Visualize performance, % of goal implementation

I want to visualize goal achievment progress. This is my first idea: use area chart to show progress in current metric use horizontal band to show the goal value colorize areas under/above the band ...
2
votes
0answers
77 views

Visualization of three-dimensional report

I have a visualization problem. Creating a comparison report of PR event efficiency. Say, show or exhibition. There are two dimensions of comparison: compare vs the same event performance in the ...
5
votes
1answer
3k views

Predictive modeling based on RFM scoring indicators

RFM - is a ranking model when all customers are ranked according to their purchasing F requency, R recency and M monetary value. This indicator is highly used by marketing departments of various ...