Marketing Analytics, Data Science and Leadership – September 20, 2021 Week In Review

You’re busy. We get it. We’ve compiled some of the top-clicked and shared articles that you don’t want to miss. Here is a quick review of the top news in marketing analytics, data science, and leadership you should be reading.

How Our Website Conversion Strategy Increased Business Inquiries by 37% via @Moz

Having a website that doesn’t convert is a little like having a bucket with a hole in it. Do you keep filling it up while the water’s pouring out — or do you fix the hole then add water? In other words, do you channel your budget into attracting people who are “pouring” through without taking action, or do you fine-tune your website so it’s appealing enough for them to stick around?

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5 benefits of marketing automation and 5 things you can do right now via @AgilityPRS

Integrated sales and marketing automation software introduces a suite of tools and features, which basically serves to make marketing tasks whether online or offline easier through more efficient processes.

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What is SEO Log File Analysis? A Beginner’s Guide via @rvtheverett

By combining your log file data with insights from a crawl of your website, you will also be able to see how deep in your site’s architecture search engine bots are crawling.

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Organic Marketing vs. Paid Marketing: Everything You Need to Know via @BeccaRiserbato

You’ll measure the success of paid marketing through return on ad spend (ROAS), driving impressions, achieving high conversion rates, etc.

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Programming in R via From Variables to Visualizations via @analyticsvidhya

R programing language was developed for statistical computing and graphics which makes it one of the desired candidates for Data Science and Analysis. Even though it might not hold much popularity among the newcomers in the field, many veterans and seasoned data scientists favour R over Python.

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