Internship Growth Marketing resume example

• Under supervision, specified experiment eligibility and a primary metric before launch, checked allocation and event loss, and reported the confidence interval and guardrail metrics with the result.
• The team decomposed activation into 7 measurable behaviors across 120,000 signup journeys; I supported research preparation, validation, and documentation under mentor review. The team identified two behaviors most strongly associated with retention; confirmed with my mentor that my contribution was limited to the assigned support and validation work.
• The team ran 14 experiments on guidance, defaults, and lifecycle messaging with guardrails; I supported research preparation, validation, and documentation under mentor review. The team sustained the adoption gain after rollout; confirmed with my mentor that my contribution was limited to the assigned support and validation work.
• Under supervision, built an acquisition and activation experiment with separate new-customer segments, a recorded conversion window and a holdout group; used SQL analysis to distinguish first use from repeat value before expanding spend.
• Under supervision, configured marketing automation from consented lifecycle events, tested suppression rules for active and unsubscribed customers, and revised message timing after checking delivery failures and downstream activation.
• Under supervision, owned an acquisition test using audience segmentation and Google Ads holdouts, reduced cost per qualified conversion by 18% with the same attribution window.
• Under supervision, released marketing-automation rules using event-level analytics, resolved duplicate messaging and documented the demand-generation experiment before expanding campaign spend.

• In a mentor-reviewed simulation, designed acquisition campaigns with a defined eligible audience and conversion event; compared cost per activated customer rather than cost per click to avoid buying low-intent traffic.
• As a second supervised exercise, ran experimentation on landing-page friction with predeclared success and guardrail metrics; stopped a conversion variant when it increased sign-ups but reduced completed onboarding.
• Under supervision, the team modeled payback by channel, segment, and cohort for $1.6 million in quarterly spend; I supported research preparation, validation, and documentation under mentor review
• Built a campaign measurement plan with synthetic spend and conversion records, stated the attribution window and exclusion rules, and checked how duplicate conversions changed the apparent return.
• Compared message variants against the same audience and offer, recorded the decision rule before reviewing results, and wrote a recommendation that distinguished a stronger signal from an inconclusive small sample.
• Owned the simulated campaign analysis using a fixed attribution window, resolved duplicated conversions and completed a sensitivity table separating channel mix from message effects.

Relevant coursework: Financial accounting, statistics, operations management, organizational behavior

• Published an independent campaign note using synthetic funnel data, explaining audience selection, excluded traffic and why an observed conversion change alone does not establish causation.