Marketing Science
ML & AI
At Cypress North, we merge data science and data analysis with marketing campaigns using machine learning (ML) and artificial intelligence (AI.)
ML and AI can help us identify different combinations of factors and data that are impacting performance to determine what’s moving the needle most, then adjust strategies accordingly.
- Predictive Modeling
- Sales Forecasting
- Custom GPTs
A few of our tools
Predictive
Modeling
Whether you're looking to identify key factors driving conversions for a marketing campaign, review data points that are linked to a recent decline in website visitors, or capitalize on seasonality impacting your site’s Ecommerce sales, our data team is well-versed in a variety of ML modeling techniques.
Our team will help you navigate the sometimes daunting predictive modeling landscape to identify the best model to solve your business needs.
Forecasting
Forecasting is a great way to get a sneak peek into future performance, allowing you to shift strategies based on possible outcomes.
Whether you're trying to forecast next year's sales numbers, or are looking to plan for expected conversions from a key marketing campaign, our team can help elevate your strategic planning using advanced ML models.
Custom GPT
Our data analysts are well-versed in building custom GPTs for a wide range of marketing, creative, and data analysis-based applications.
Whether you need an all-purpose ChatGPT to build analyses based on your marketing campaign data, or need a more specific GPT to fulfill a highly specific business requirement, our team is here to guide you on your GPT journey and build whatever you may need!
Marketing Science Solutions
Whether you need an individual project or a complete end-to-end data solution, we've got your back!
Request a proposal to get started.
The days of manually updating recommended next pages are gone!
Our data and development teams built a web-page recommendation model that can suggest recommended next pages for users on your site. This model can be completely tailored to your site's data, learning and adjusting in real time based on your site's actual user interactions.
DISCOVERY
We'll meet with you to review your website and overall business goals. Maybe you're looking to push users toward specific Ecommerce pages. Or maybe you want the model to sit back and learn from your user base before deploying to the live site. No matter your objectives, we'll come up with a strategy on the best way to deploy our model onto your site.
IMPLEMENTATION
Once we've developed a plan of action for adding our Smart Suggest model onto your site, we'll get started deploying it so you can encourage users to click through to additional pages and stay on your site longer.
Whether you need to identify data points correlated to your marketing efforts or are looking to forecast revenue to help build a strategy, we're here to help.
DISCOVERY
We'll meet with your team to review overall business goals and the problem you're trying to solve. Our team is well-versed in a wide range of ML models, and will work to identify the best solution for your specific business needs.
IMPLEMENTATION
Once we've identified your problem and put together a plan of action for implementing a solution, our team will get to work building out the model that will help you meet your goals!
GPTs are a great tool for supporting teams that need questions answered on the fly. Whether you need an all-purpose GPT to support your marketing and data teams, or a chatbot to handle client-facing questions, we’re here to assist!
DISCOVERY
We'll meet with your team to review your overall business goals and specific use cases for a custom GPT. No matter your objectives, we'll come up with a strategy to build out a custom GPT that fits your specific needs.
IMPLEMENTATION
Once we've developed a plan of action, we'll get started building and deploying your custom GPT.
Need some more information?
Talk to Jack and find a custom solution that's right for you!
Jack Novorr
Marketing Science Resources
Exploring a New Dataset With Python: Part I
We’re taking it back to the basics in this article. Why? The day of a Digital Marketer is busy. We’re pulled in all sorts of different directions and are responsible for a lot of different things. In my personal experience, […]
Exploring a New Dataset With Python Part II: Using Seaborn To Visualize Data
Welcome to Part II of Exploring a new dataset with Python! If you missed Part I: The Basics, you can check it out here. In this article, we’ll be returning to our animal mug company’s dataset to continue our exploratory […]
Python & Google Analytics: Prepare Data For Analysis [ Jupyter Notebook Template]
To utilize the power of Python to manipulate and analyze your Google Analytics data, the first step is to transform your data into a clean DataFrame that’s ready for analysis. In this article, I’m going to show you how to […]
Pandas Groupby Function: Python for Digital Marketing
If you’ve been following along with our Python for Digital Marketing posts, you’ve imported data from Google Analytics into a Jupyter Notebook and may have even combined it with another dataset. If you’ve never been here in your entire life […]
Strip Query Strings From URL Data: Python For Digital Marketing
If you’ve ever spent any time in a Google Analytics account, you’re all too familiar with the fact that the data isn’t always pretty. One exceptionally common scenario that us marketers run into all the time is page data being […]
Using Python To Combine Datasets For Digital Marketing
Working in digital marketing, there are several reasons why you might want to combine two datasets from two different sources together. It could be combining Google Analytics data from two different accounts or properties, or turning two different reports into […]
