We love Python, we love data and we want to spread this love to all the professionals out there. Therefore, we regularly sum up the smartest ideas in a newsletter, that aims to share technological solutions for performance marketing.
Google Scholar is undoubtedly the most popular scholarly literature web search engine platform in the world. Its logic is quite similar to Google Search when a user looks for results, but they get indexes of full text or…
Keyword suggestions using the autosuggest features of search engines are very powerful. Your keyword research gets even more powerful when you automate the keyword extraction process by calling the autocomplete APIs using a script…
Sample size is crucial for making decisions in PPC… One big goal of keyword clustering is to bring sample sizes up to enable decisions on stable numbers. Why should you cluster keywords or Search…
N-gram analysis of your PPC data will give you insights to take actions that will save you tons of money! Become a PPC Super Hero by using data science Approaches for PPC problems. N-gram…
Which Programming Language you should learn? In these days, you will find a lot of new code examples of Python solutions for marketing areas like SEO or PPC. When you are interested in becoming…
Google Trends is an excellent tool for marketing purposes. It shows how frequently a specific search term is entered into Google’s search engine over a period of time. Also, it allows you to monitor…
We’ve published a Python Script that uses the clustering method to group keywords together using Google’s search results. The new version is improved, and some cool graphical outputs are added to visualize keyword topics…
Comparing competitor sites’ sitemaps at the n-gram level can help you find strategic vulnerabilities that will make you stand out. The n-gram is a contiguous sequence of “n” items of a given text or…
You like Google Trends but you’re disappointed that it doesn’t work well for long tail keywords? Then keep on reading and use this python script to build your own “Google Trends” service by using…
We already shared some clustering approaches using TF-IDF Vectorizer for grouping keywords together. This works great for grouping keywords together that share the same text strings, but you aren’t able to group by meaning…