Udemy
PaidGrowth Hacking & Growth Marketing Masterclass
Explore Diego Davila’s growth marketing course for funnels, email audiences, site analysis, and experiments, with careful treatment of…
Packt — Packt - Course Instructors
Explore Packt’s growth-product course on product-led models, customer understanding, value propositions, experimentation, retention and expansion revenue.
Opens on the provider’s site. Check current access and certificate terms there.
Packt examines growth from the product-management side of acquisition and retention. Product-led models, customer understanding and value propositions lead into experiments, performance measures and expansion. It suits growth marketers working with product teams who want to understand how changes inside a product affect the customer journey and why a campaign alone may not resolve a recurring onboarding or retention problem.
Intermediate learners interested in growth product management. The course has a product-strategy emphasis, so it complements marketing training rather than replacing channel-specific instruction.
A growth strategy is a set of testable decisions, not an assurance of more traffic or revenue. Check the age of platform examples and the cost of any marketing or analytics tools. Use fictional or consented data for exercises, respect platform rules and record unsuccessful experiments as well as positive results. A course certificate is separate from a professional marketing credential.
Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Provider access terms can change; review them before paying.
Choose an invented onboarding problem and propose a product experiment. Explain its value to the customer, define a retention measure and list a possible unintended effect that the team should monitor.
This overview is based on the provider's published information, checked on . It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.
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