The most important KPIs to measure the success of your lead nurturing campaigns: A case study with Mailchimp
As in everything else in business, it is crucial to identify the right KPIs that will track the success of our lead nurturing campaigns. Here is a minimal set of fundamental KPIs that can be used to track lead nurturing campaigns that are executed using the email marketing platform of Mailchimp.
Interested in Transactional Email data? Here is a post about the fundamental metrics and KPIs that you should track at your transactional email analytics.
From Around The Web
THE NEED FOR SPEED OF SPEECH RECOGNITION
Microsoft researchers have achieved record speech recognition. The need for speed is growing.
PREDICTING POVERTY
Here is some good news. According to a project from Stanford, poverty can be predicted. By combining high-resolution satellite imagery and machine learning to provide new data on socioeconomic indicators of poverty and wealth.
+ There was another report from Stanford these days in the news. Stanford’s One Hundred Year Study on Artificial Intelligence is all about how recent developments in AI might affect future life in a typical city.
FINDING DEPRESSION
An insightful post about the recent paper from Harvard about finding depression. The real question is do algorithms find depression or cause depression? The crowdsourced workers who fuel the algorithms, which will evaluate the rest, are very depressed in the first place.
A GAME OF THRONES: SCRAPING ICE & FIRE
A Song of Ice and Fire is a series of fantasy novels by George R. R. Martin. It is also the basis of the hit HBO television show Game of Thrones. Rob Castellano from the NYC Data Science Academy Program, made an interesting Python web scraping project about Song of Ice and Fire. WARNING it has SPOILERS too!
IN LINE WITH KAFKA
Here is a post from the LINE Engineering team on how they are using Kafka Streams in large-scale for their internal message delivery pipeline.
ACADEMIC TORRENTS
Academic Torrents is a distributed system for sharing enormous datasets – for researchers, by researchers
MORE LINKS FOR YOUR READING PLEASURE
- What is R? R Explained in less than Two Minutes, to Absolutely Anyone.
- Moving from R to Python: The Libraries You Need to Know
- Whatever your business sector, data is your most valuable asset. A nice post about the data quality tipping point.
- 17 places to find datasets for data science projects
