Questions tagged [marketing]
The marketing tag has no summary.
37 questions
6
votes
1
answer
47
views
How can data science techniques be used to improve SEO and digital marketing performance?
How machine learning models are used for keyword analysis and ranking predictions
I work in digital marketing and I’m trying to understand how data science can be practically applied to improve SEO ...
1
vote
0
answers
49
views
MMM model vs Monte Carlo
I was given a project where only using Net Media Value and possibily audience considered , I have to try to estimate sales and unit return of media investment. I was asked to try to apply a Monte ...
- 71
0
votes
1
answer
313
views
Beta Regression Model in Python for Effect of Marketing Campaign B Membership on CTR
I am trying to build a model to estimate the ATE of Campaign B (B1) on CTR (Click-thru-Rate), with Campaign A as the baseline (B0), represented by column 'a_or_b'.
Other exogenous variables are: '...
0
votes
1
answer
229
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 ...
- 3
0
votes
1
answer
56
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 ...
- 3
1
vote
1
answer
32
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 ...
- 11
0
votes
1
answer
179
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 ...
0
votes
1
answer
164
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 ...
1
vote
1
answer
124
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 ...
- 2,348
2
votes
0
answers
374
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/...
- 21
0
votes
0
answers
301
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 ...
1
vote
0
answers
29
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 ...
- 11
1
vote
0
answers
47
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 ...
- 31
0
votes
1
answer
224
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 ...
1
vote
1
answer
72
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 ...
- 11