The freemium marketing approach has become commonplace among B2C and B2B software providers alike. Considering that most see fewer than 5% of free users move to paid plans, even a slight improvement in conversion can translate to significant revenue gains. The (multi) million-dollar question is, how do they do it?
The answer lies in product analytics, which offer teams the ability to ask and answer any number of questions about the customer journey on an ad-hoc basis. Combined with a commitment to testing, measurement and iteration, this puts data in the driver's seat and helps teams make better decisions about what's in the free tier and what's behind the paywall. Successful enterprises make this evaluation an ongoing exercise.
In case you are keeping track:
Workshop series on data analytics kicks off March 26 | YSU
The Data Analytics Certificate program at Youngstown State University is hosting a series of free online workshops exploring a range of topics in the fast-growing data analytics and management field.
The first workshop, 1 to 3 p.m. Friday, March 26, introduces attendees to data analytics, from cleaning and manipulating and visualizing data to revealing patterns in data for actionable insight.
"As virtually every private and public sector increasingly relies on data analytics in their decision-making process, we hope that this workshop series will raise more awareness to the workforce in our community of the value of data analytics skills to the competitiveness in the job market," said Ou Hu, the Paul J. Thomas Endowed Chair and professor in Economics at YSU.
Job Posting: New York Mets Baseball Analytics Roles | FanGraphs Baseball
Summary:
The New York Mets are seeking an Analyst in Baseball Analytics. The Analyst will build, test, and present statistical models that inform decision-making in all facets of Baseball Operations. This position requires strong background in complex statistics and data analytics, as well as the ability to communicate statistical model details and findings to both a technical and non-technical audience. Prior experience in or knowledge of baseball is a plus, but is not required.
Google Analytics 4 and UA Properties: What You Need to Know - Business 2 Community
As if 2020 didn't already throw enough curveballs at us, Google decided to introduce Google Analytics 4 (GA4). There I was, working on an intake checklist for a new client, reviewing their GA account when to my surprise the entire dashboard looks terrifyingly different. Where did Views go?! Where are the Behavior and Audience sections?
* * *
Before I let myself spiral down a dark hole of panic, I did what humans do best: googled that sh**.
After initial research, I discovered that (thankfully) Universal Analytics (UA) did not suddenly disappear overnight for new accounts. Though GA4 won't be taking over entirely just yet, it's still extremely important for marketers and data analysts to get comfortable with the new property. Let's jump into the basics of what you need to know about GA4 and how to keep Universal Analytics properties and views.
Many things are taking place:
Local Law Research Streamlined with Lexis+ Litigation Analytics
State and Local government attorneys are frequently tasked with handling unique and niche issues, and often need to work on short time frames and with limited budgets. Many are turning to the Lexis+™ legal research service to slim down research and strategy preparation for their civil and criminal caseload—leveraging an efficient workflow by combining previously discrete or unavailable tools on one platform.
Litigation Analytics helps ensure state and municipal government lawyers are on equal footing with their big-law opponents when it comes to civil litigation matters. Government attorneys now have the same novel tools and insight as their opponents do to inform their strategy and arguments and achieve the intended outcomes for their community and citizenry.
Predictive Analytics Tool Forecasts Post-Surgical Complications
February 26, 2021 - Researchers at Thomas Jefferson University have developed a predictive analytics tool that can forecast the risk of post-surgical complications, helping providers to deliver more proactive, preventive care.
“We wanted to assist doctors to be able to assess the risk of stroke, in addition to traditional risks,” Woo said.
“Often times we do the research and publish a research paper that is too complex to translate to the bedside,” Woo said. “My goal from the beginning was to come up with a new model that is very practical and useful and that can be incorporated into routine patient care.”
Advanced Marketing: How to Use Cohort Analysis in Google Analytics GA4
If the idea of cohorts in marketing feels familiar, it is. It's been around for a long time — I even explained cohort analysis in Google Analytics back in 2015 . The application for cohort analysis has grown among marketers, and Google had to keep up, particularly with the recent redesign of Google Analytics, GA4. Enter the updated cohort analysis in GA4.
A cohort is a group of people, things, or events that share statistical factor — like age, class, and time periods. In marketing cohorts are meant to identify a demographic.
AdPushup Launches Header Bidding Analytics and the Hyper Optimizer to Refine Header Bidding
NEW YORK , Feb. 26, 2021 /PRNewswire/ -- AdPushup, a leading ad revenue optimization platform for publishers, has announced the launch of two key enhancements as a part of its Header Bidding Portfolio— Header Bidding Analytics and the Hyper Optimizer . While the analytics platform aims to offer detailed real-time auction data for better decision-making, the Hyper Optimizer is a tool to help publishers improve bidder relevance and bid quality.
The Analytics platform offers detailed bid-related information from within auctions, through metrics such as average response time, devices-wise reports, overall win-rate reports, country-wise reports, header bidding win-rate reports, bid-rate reports, average winning eCPM reports, bid landscape, average eCPM reports, and demand partner performance reports. The availability of these insights enables publishers to have data-backed knowledge of bidder performance and the overall auction
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