ConversionXL – Matthew Brandt – Product Analytics

Description

ConversionXL – Matthew Brandt – Product Analytics

How do you turn product insights into action?

It’s all about gathering, measuring, analyzing and communicating product milestones so your company can make data-driven decisions.

Through real-world examples, case studies and a look at what not to do, this course will teach you how to make product analytics a core competency and driver of growth at your company.
Introduction video
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After 8 sessions, you’ll:

Be a master of collecting and analyzing product-level data accurately
Understand how to implement and track important product metrics
Know how to compare multiple segments of users with distinct traits and consolidate data from multiple users into single profiles
Be a pro at applying useful Google Sheets functions like VLOOKUP and COUNTIF and clustering data as well as apply common MySQL arguments such as COUNT, LIKE and CASE

Benefits

Google Analytics. Mixpanel. Adobe Analytics.

We’ve all heard of them — they’re great for websites and apps with predefined goals and metrics.

But your product is much more complex and often lacks clear targets or paths to success.

This course will demystify your product data and teach you the methods and techniques you need to turn that data into actionable insights.
Marianne M.

Digital Marketer @ Right Brain Agency

US

I feel so much more confident in analysis and optimization after taking CXL’s courses.

I learn practical techniques that are applicable to any business from the best in class.
Anthony T.

Excellence Manager @ Spotahome

Spain

Using the techniques and strategies in CXL, I now have a method and foundation to support my work.

It gives me the confidence to believe I am moving in the right direction, that I am investing my time effectively and efficiently (AKA not guessing anymore).
Bjørn S.

CMO @ Trendhim

Denmark

I thought I was quite proficient at analytics, but taking this course was a huge, well-deserved slice of humble pie.

It took me from the top of mount stupid, down into the valley of despair, and across to the foothills of the slope of enlightenment. Worth the time.
This course is right for you if…

…you’re a Product Owner and need to understand more about your product
…you’re an Analyst in a product-driven organization
…you’re a UX Researcher and want to understand more about the product

This course is probably not for you if…

…you have no experience with traditional web analytics
…you already have 2+ years of experience in Product Analytics
…you’re not working with a product

Skills you should have before taking this course

Some familiarity with data collection, data storage (databases)
Good knowledge of common analytics tools such as Google Analytics, Kissmetrics, Webtrekk, Adobe Analytics
Experience using a web product (e.g. Trello, Dropbox, Salesforce, etc.)

Sneak preview: Lesson 1
Introduction to product analytics

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About your instructor, Matthew Brandt

A digital analyst for more than six years, Matthew has done end-to-end analytics for over 50 companies from the ground up by tracking concepts, overseeing implementations, building reporting and performing analyses of the data collected.

The last 2 years Matthew has been delivering deep insights to all different departments and teams of a SaaS-company with a web-based accounting product. In this process he has helped improve trial signup and trial to sale conversion rates, leverage onboarding to give users a faster time-to-value, reduce customer support requests and improve product development through precise data and insights.
Your full course curriculum
Product analytics
1
Introduction to product analytics

This class is about getting familiar with product analytics and its associated terms, common questions and pitfalls, as well as differences to other types of analytics (such as web analytics). You’ll also learn about what the difference is between a “classic” website and a web product.

Topics covered:

Product analytics definition
Differences between product and “classic” web analytics
Common questions and mistakes

2
Data collection done right
3
Analysis tools
4
Core metrics
5
User & cohort analysis
6
Common questions & challenges
7
Reporting on and monitoring product metrics
8
Tie it all together
Show off your new skills: Get a certificate of completion

Once the course is over, pass a test to earn a CXL certification.

Add it to your resume, your LinkedIn profile or just get that well-earned raise you’ve been waiting for.

Business online course

Information about business:

Business is the activity of making one’s living or making money by producing or buying and selling products (such as goods and services).
[need quotation to verify] Simply put, it is “any activity or enterprise entered into for profit.
It does not mean it is a company, a corporation, partnership, or have any such formal organization, but it can range from a street peddler to General Motors.”

Having a business name does not separate the business entity from the owner, which means that the owner of the business is responsible and liable for debts incurred by the business.
If the business acquires debts, the creditors can go after the owner’s personal possessions.
A business structure does not allow for corporate tax rates. The proprietor is personally taxed on all income from the business.

ConversionXL – Matthew Brandt – Product Analytics on sensecourse.info