Internship Marketing resume example

• Under supervision, connected campaign spend to qualified conversions using consistent attribution windows; checked tracking events before interpreting channel performance and reallocating the budget.
• The team segmented 86,000 prospects by use case, maturity, and buying trigger; I supported research preparation, validation, and documentation under mentor review. The team moved more qualified opportunities to the next committed stage; confirmed with my mentor that my contribution was limited to the assigned support and validation work.
• The team reallocated quarterly channel spend using marginal acquisition cost; I supported research preparation, validation, and documentation under mentor review. The team created attributable pipeline from the targeted work; confirmed with my mentor that my contribution was limited to the assigned support and validation work.
• Under supervision, owned a Google Ads campaign test using fixed attribution windows, reduced qualified-acquisition cost by 17% while keeping the same conversion definition.
• Under supervision, published an analytics readout using campaign holdouts, resolved duplicate conversion events and separated observed lift from seasonality before recommending a budget change.

• In a mentor-reviewed simulation, compared acquisition campaigns using attribution windows, audience overlap, and incremental revenue; recalculated ROI after refunds and agency fees before reallocating the channel budget.
• As a second supervised exercise, ran creative testing with a stated hypothesis and conversion event, keeping audience and spend comparable; used campaign results to distinguish a stronger message from a cheaper but lower-intent audience.
• Under supervision, the team built a launch narrative and proof plan with product, sales, and customers; 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.