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Implementing Weekly RFM Segmentation from Priority ERP Data and Integrating with Email Marketing Service

I am looking for some guidance on a specific task involving RFM (Recency, Frequency, Monetary) segmentation. My current workflow involves exporting data from Priority ERP, but I need help with the ...
Paz Gruberg's user avatar
0 votes
1 answer
41 views

Ideas on building models to predict the likelihood of prospects converting (making their first purchase)

context: I have a task to identify the prospects who have high or medium likelihood of making their first purchase after they signed up for 30 days, so that our marketing teams can take actions for ...
Iris's user avatar
  • 3
0 votes
0 answers
64 views

Marketing Mix modeling and synergy terms

I am working on marketing mix models and I would like to know more about the way to include and compute synergy in marketing mix model? I know the existence of one software that uses this kind of ...
G2MWF's user avatar
  • 101
0 votes
1 answer
32 views

What kind of model should I use?

I am working with a dataset with about 10,000 customers. About 3,000 engaged with dozens of marketing campaigns over the years. I am trying to create a model to find which marketing campaign to use on ...
Alex's user avatar
  • 3
1 vote
1 answer
17 views

Is systematic sampling a good way to fairly assess a baseline against a post experiment results group?

Apologies if this is in the wrong place. I'm a data analyst thats finding work is driving more and more into into marketing experiments and testing and just needed some help. Lets say I launch a new ...
Arcadeia's user avatar
0 votes
1 answer
132 views

The Impact of TV Advertising on Website Traffic

I need to build a model that measures the impact of TV advertising on website traffic. I have two datasets: one contains the number of visits to the page and a timestamp, the other contains a ...
Pablo1547's user avatar
0 votes
1 answer
127 views

Marketing Spend Optimization Techniques

I need some help with market spend optimization. I’m working with a client who’s running an offline operation that’s primarily driven by online marketing (fb, google, twitter etc). They had asked me ...
Cal.Naughton's user avatar
0 votes
0 answers
34 views

ML techniques for subscription data

What are the ML methods one should use for subscription data comprising of visits, monthly active user, user interaction, product usage, location, source. predicting cost for our services.
Blogger22's user avatar
1 vote
1 answer
75 views

Is it possible to optimize the Client Lifetime Value with Reinforcement Learning using Marketing Activities as Actions?

I have been researching the Reinforcement Learning topic. I have been looking if this is the correct way to optimize the marketing actions of my company given that we are looking to optimize the ...
Juan Esteban de la Calle's user avatar
2 votes
0 answers
247 views

Shapley values for channel attribution equal to linear attribution

I am looking into Shapley values for online marketing attribution. In recent time many articles seem to have been made on this particular approach to attribution (there are more): https://medium.com/...
Tpeeters's user avatar
0 votes
0 answers
235 views

how to describe a decrease in sales

Hypothetically, if your company's sales had dropped significantly in 2020, what approach would you take to describe the cause? can you build a model to predict the decrease (between 2019 and 2020 for ...
Jack Smith's user avatar
1 vote
0 answers
20 views

Marketing Channel Recommender System [closed]

This dataset is collected by a drug making company trying to sell its drug to doctors of different specializations. The drug company has made promotional activity for its brand The promotional ...
Karan's user avatar
  • 11
1 vote
0 answers
34 views

How many positive responses are good enough for building a marketing response model when the response rate is low(0.5%)

We are planning a marketing campaign to collect data and the response rates for a random sample. Total population size is 10 million and historically, response rates are low (0.5 - 0.65 %). How long ...
Max64's user avatar
  • 31
0 votes
1 answer
138 views

Should I perform customer segmentation before performing churn prediction?

Imagine a company with multiple lines of revenues coming from diferent products, but all customer can access these different products through the same account and the same online platform. My goal is ...
Breno Duarte's user avatar
1 vote
1 answer
39 views

From analysing their previos transactions how can I predict for what type of product is the customer more likely to take take an EMI

So basically I need a kind of product/ category affinity for EMI for all customers eg - Customer A is more likely to take an EMI on her insurance premium. One approach I had thought was to broadly ...
Bridget's user avatar
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0 votes
1 answer
43 views

Creative Analysis - What are the possible approaches?

We're analyzing some creatives from past advertising campaigns and are looking for the best way to approach. Currently we've broken down each creative into 20+ objective characteristics, for example: ...
user101465's user avatar
3 votes
3 answers
165 views

How to decide who to market? Clustering or Decision Tree?

I am working with a dataset that has enough observations and ~ 10 variables, half of the variables are numeric another half of the variables are categorical with 2-3 levels (demographics) one ID ...
Data Enthusiast's user avatar
2 votes
2 answers
317 views

Customer Segmentation and Category association

I have to solve two questions on the following dataset: 1. arrange customers into mutually exclusive groups.explain the clusters. 2.identify 1-1 product category association rules for each cluster, i....
みみ ぱんで's user avatar
0 votes
1 answer
272 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 to retail analytics. They said "Our goal is to measure the effects of promotion on sales" and "Your goal is ...
cPhoenix's user avatar
2 votes
1 answer
1k 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 ...
Guest's user avatar
  • 21
1 vote
4 answers
785 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 ...
user avatar
1 vote
1 answer
123 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:
spv92's user avatar
  • 13
0 votes
1 answer
359 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 ...
Luv's user avatar
  • 131
1 vote
1 answer
23 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 ...
SRJ577's user avatar
  • 197
1 vote
0 answers
181 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 ...
av abhishiek's user avatar
1 vote
1 answer
119 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 $b$ ...
Kyo's user avatar
  • 21
1 vote
0 answers
97 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 ...
Maksim Khaitovich's user avatar
3 votes
3 answers
516 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 ...
peterd's user avatar
  • 31
0 votes
2 answers
2k 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) ...
Ryan Zotti's user avatar
  • 4,149
2 votes
2 answers
409 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 ...
26lane's user avatar
  • 131
5 votes
1 answer
1k 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 ...
TdBm's user avatar
  • 423
4 votes
1 answer
1k 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 ...
Bernardo Aflalo's user avatar
1 vote
2 answers
68 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 ...
M. Welles's user avatar
3 votes
1 answer
74 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 ...
Navaneethan Santhanam's user avatar
1 vote
1 answer
175 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 ...
IgorS's user avatar
  • 5,474
3 votes
0 answers
92 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 ...
IgorS's user avatar
  • 5,474
5 votes
1 answer
4k 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 ...
IgorS's user avatar
  • 5,474