May 29th, 2020

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 data analysis and answer some new questions about our dataset. We’ll be using Python’s Matplotlib … Continue reading "Exploring a…

April 22nd, 2020

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, it’s easy to get caught up in non-stop execution and forget that taking the time … Continue reading "Exploring a…

April 15th, 2020

5 Simple Tips For Lowering Costs in Linkedin Ad Campaigns

These seemingly small, easy to overlook best practices will lower your ad spend and CPA. As many seasoned B2B advertisers know, LinkedIn’s powerful professional targeting and niche audience segmentation is hard to beat for business advertising. But if you’re a beginner to the platform, you will quickly notice that CPC (cost per click) costs tend … Continue reading "5 Simple…

April 9th, 2020

Cypress North: The Story Behind Our Name

We are often asked why we named our company “Cypress North”. The truth is,  naming a company is tough. So we started simple. We’re located in the Northern U.S. and both partners who started the company are fans of the outdoors and trees specifically. From dogwoods to maples, magnolias to pin oaks, trees are amazing.  … Continue reading "Cypress North:…

March 18th, 2020

How Agencies Can Succeed in Uncertain Times

On Friday’s episode of Marketing O’Clock I tried to give some advice to agencies amidst these challenging times. In case you missed the show last week, you can see the clip & writeup below. Crisis strategies for company morale The reality of COVID-19 is setting in around the world. Uncertainty about the future is unsettling … Continue reading "How Agencies…

March 17th, 2020

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 split up due to query parameters in the URL. It’s not uncommon for a landing … Continue reading "Strip Query…

February 25th, 2020

Should You Hire A Digital Marketing Agency or Hire In-House: An Unbiased Breakdown

Many small businesses (SMBs) hit that point of growth where they know that they need digital marketing help. That is non-negotiable. But is it better to hire an in-house digital marketers or use an agency? This is an important conversation that we have fairly frequently, so we set out to make the ultimate list of pros and cons of hiring…

February 18th, 2020

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 but are starting at a large dataset, you’re probably still in the right place. So … Continue reading "Pandas Groupby…

February 3rd, 2020

Jill Fecher Joins Our Growing Team

As we head further into 2020 here at Cypress North, a major focus is targeted growth. Not the traditional “just grow numbers for the sake of numbers” growth, but growth in how we serve our amazing clients. We are looking to grow better processes, management, lines of communication & most importantly – results. This focus … Continue reading "Jill Fecher…

January 22nd, 2020

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 one super report – such as combining page data from Screaming Frog with data from … Continue reading "Using Python…