Design and run experiments across paid advertising, email, SEO, and onboarding flows, analyze the results, and double down on whatever channels and tactics are actually moving user acquisition and retention. Day to day work is dashboard-driven, involving A/B tests on campaigns and landing pages, analysis of where users drop off in the conversion funnel, and close coordination with product and design teams on new experiments. The pace is fast, with decisions made and revised quickly based on incoming data, and deadlines tend to cluster around campaign launches rather than following a single fixed plan.
Pros
Strong pay range ($75k-$150k) even at the entry level compared to many marketing roles
Computer-based, dashboard-driven work that fits an office or remote setting equally well
Constant experimentation across channels keeps the day-to-day work varied rather than repetitive
Cons
Above-average hours, expect more than a standard 40-hour work week
Deadlines cluster tightly around campaign launches, with decisions made and revised quickly
Success is measured by hard conversion and retention metrics, which can mean constant performance pressure
A typical day
By 9am the dashboards are open: yesterday's signup numbers, ad spend, and the results of an A/B test on the checkout page that's been running for a week. The morning goes to analysis — the test variant lifted conversions 4% on mobile but not desktop, so the marketer digs into session recordings to figure out why before recommending a rollout. After lunch there's a sprint meeting with designers and engineers to pitch the next round of experiments, from a referral-bonus tweak to new onboarding emails. The last hours are spent writing ad copy variations and setting up tracking so next week's tests will produce clean data.
Tasks at the job
Design and run A/B tests on marketing campaigns and landing pages.
Manage paid acquisition channels and budget allocation.
Analyze conversion funnel data to identify drop-off points.
Optimize onboarding flows and retention strategies for existing users.
Coordinate with product and design teams on growth experiments.
Report on key growth metrics to leadership.
Workplace & working conditions
Work happens indoors at a computer, in an office or remote setting, driven largely by dashboards and campaign data.
The pace is fast, with decisions made and revised quickly based on incoming data. Deadlines cluster around campaign launches, and the work rewards comfort running many small experiments rather than a single fixed plan.
Education necessary or common
Bachelor's degree in marketing, business, or a related field
Common college majors
MarketingBusiness AdministrationStatistics or Data AnalyticsCommunications