by Christopher S Penn | Apr 22, 2022 | Marketing, Marketing Data Science, Marketing Technology, SEO, Social media, Social networks
Andy asks, “How do we think about optimizing our social content based on how search results appear in social search?” Can’t see anything? Watch it on YouTube here. Listen to the audio here: Download the MP3 audio here. Got a question for You Ask,...
by Christopher S Penn | Apr 21, 2022 | Marketing Data Science, Marketing, search engine optimization, SEO
Bill asks, “If you wanted to examine search terms in bulk, how would you do so? The goal would be to determine what terms are driving traffic to a website over time, and learning how those terms and their volume change over time.” Can’t see anything?...
by Christopher S Penn | Nov 23, 2021 | Marketing, Marketing Data Science, search engine optimization, SEO
I’d like to introduce you to a concept I haven’t seen anywhere else in the SEO world, something I’ve talked about a few times now on Marketing Over Coffee and the Trust Insights podcast: temporal vectorization. What Is Vectorization? First, a bit of...
by Christopher S Penn | Jul 2, 2021 | Marketing, Marketing Data Science, Marketing Technology, search engine optimization, SEO
Leah asks, “Is SEO out of reach for small businesses?” This is an interesting question, because the answer keeps changing. A year ago I would have firmly said no, SEO is completely within reach of every business, large or small. Six months ago I would have...
by Christopher S Penn | May 18, 2021 | Marketing, Marketing Data Science, Marketing Technology, search engine optimization, SEO
One of the earliest parts of Google’s algorithm was PageRank, a network graph that looked at who was most linked to as a proxy for which sites should rank highest for a given search term. While PageRank has evolved along with the rest of Google’s...
by Christopher S Penn | May 7, 2021 | Marketing, Marketing Data Science, search engine optimization, SEO
One of the most challenging questions in SEO (search engine optimization) is, “Where do we start?”. When you have hundreds or even thousands of pages, many of which are valuable, how do you start chipping away at the problem? This question is answered by...