Matthew Brandt – Product analytics

Salepage : Matthew Brandt – Product analytics
Archive : Matthew Brandt – Product analytics Digital Download
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How do you put product knowledge into action?

It all comes down to collecting, measuring, evaluating, and reporting product milestones so that your firm may make data-driven decisions.

This course will teach you how to make product analytics a core skill and driver of success at your company by using real-world examples, case studies, and a look at what not to do.
Video introduction
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After 8 sessions, you’ll be able to:

Be an expert in collecting and precisely analyzing product-level data.
Learn how to develop and track critical product metrics.
Understand how to compare several segments of users with diverse characteristics and how to combine data from many users into single profiles.
Be an expert at using Google Sheets methods like VLOOKUP and COUNTIF, as well as clustering data using standard MySQL parameters like COUNT, LIKE, and CASE.

Benefits

Google Analytics is a web analytics tool. Mixpanel. Adobe Analytics is a web analytics tool.

They’re well-known – they’re ideal for websites and apps with established goals and KPIs.

However, your product is significantly more complicated and frequently lacks clear goals or routes to success.

This course will deconstruct your product data and teach you the strategies and procedures you’ll need to transform it into actionable insights.
M. Marianne M.

Right Brain Agency’s Digital Marketer

US

After attending CXL’s classes, I feel much more competent in analysis and optimization.

From the greatest in the business, I learn practical tactics that can be applied to any firm.
Mr. Anthony T.

Spotahome’s Excellence Manager

Spain

I now have a system and a foundation to support my work thanks to the approaches and tactics in CXL.

It provides me the assurance that I am on the right track, that I am investing my time wisely and productively (AKA not guessing anymore).
Bjørn S.

Trendhim’s Chief Marketing Officer

Denmark

I thought I was very good at analytics, but this course gave me a giant, well-deserved slice of humble pie.

It led me from the summit of Mount Stupid to the valley of despair and over the foothills of the slope of enlightenment. It’s time well spent.

This course is for you if…

…you’re a Product Owner who wants to learn more about your product…

You work as an Analyst at a product-driven company…

you are a UX Researcher who wants to learn more about the product

If…, this course is probably not for you.

…you are unfamiliar with typical web analytics…

You already have 2+ years of Product Analytics experience…

You are not collaborating with a product.

You should have the following abilities before enrolling in this course:

Some knowledge of data collecting and storage (databases)
Good understanding of common analytics technologies such as Google Analytics, Kissmetrics, Webtrekk, and Adobe Analytics (e.g. Trello, Dropbox, Salesforce, etc.)

Lesson 1: Introduction to Product Analytics Sneak Peek

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Regarding your teacher, Mr. Matthew Brandt

Matthew has been a digital analyst for over six years and has done end-to-end analytics for over 50 firms from the ground up, tracking concepts, monitoring implementations, designing reports, and executing data analysis.

Matthew has spent the previous two years providing comprehensive insights to all departments and teams of a SaaS-company with a web-based accounting application. Through accurate data and analytics, he has assisted in improving trial registration and trial to sale conversion rates, leveraging onboarding to provide users a faster time-to-value, reducing customer support inquiries, and improving product development.
Your whole course syllabus
Product analytics 1: An Overview of Product Analytics

This lesson will introduce you to product analytics and its related vocabulary, as well as typical problems and difficulties, as well as distinctions from other forms of analytics (such as web analytics). You’ll also discover the distinction between a “traditional” website and a web product.

Topics covered include:

Definition of product analytics
Distinctions between product and “traditional” web analytics
Commonly Asked Questions and Errors

2 Correct data collecting
3 Tools for Analysis
4 Key metrics
5 Analysis of users and cohorts
6 Frequently Asked Questions and Difficulties
7 Product metric reporting and monitoring
8
Tie everything together.
Demonstrate your new abilities: Obtain a completion certificate

After completing the course, you must pass an exam to get a CXL certification.

Add it to your résumé, LinkedIn page, or just ask for that well-deserved raise.

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