Growth Marketing Lead, Performance & Experimentation

Career Guide

A Growth Marketing Lead focused on Performance & Experimentation drives measurable customer and revenue growth by running paid and owned-channel campaigns, designing structured tests (experiments), and improving the full journey from first click to purchase or signup. The role blends creative marketing with data analysis to scale what works and stop what doesn’t.

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Key Responsibilities

Own growth targets (e.g., signups, purchases, revenue) and the plan to reach them across key channels
Manage performance marketing budgets across channels like search ads, social ads, display/video, affiliates, and retargeting
Build and improve the testing program: define hypotheses, run A/B tests, measure impact, and document learnings
Improve conversion rates on landing pages and key funnel steps in partnership with design, product, and engineering
Develop tracking and reporting: ensure campaigns and customer actions are measured accurately
Analyze performance by channel, audience, message, and offer; identify what drives results and why
Create and maintain dashboards for weekly/monthly performance updates and decision-making
Coordinate creative production (ad concepts, copy, landing page assets) and iterate based on results
Partner with Sales/Customer Success (if applicable) to improve lead quality and downstream conversion
Ensure compliance with privacy and platform policies; adapt to tracking and attribution changes
Lead or mentor marketers/analysts as the program scales; establish operating rhythms and standards

Top Skills for Success

Clear goal-setting and prioritization (choosing the highest-impact work first)

Structured problem-solving (turning questions into testable ideas)

Data analysis and storytelling (explaining performance and decisions clearly)

Stakeholder management (aligning with product, design, finance, leadership)

Paid acquisition strategy across major ad platforms (search and social)

Budget pacing and efficiency management (spend vs. results)

Experiment design and evaluation (A/B testing basics, avoiding misleading conclusions)

Conversion rate optimization for landing pages and funnels

Marketing measurement fundamentals (tracking, attribution concepts, reporting)

Creative iteration process (briefing, testing messages and formats, rapid improvements)

Lifecycle thinking (how onboarding, email, and retention affect growth)

Tool fluency (analytics, ad managers, dashboards, testing tools)

Career Progression

Can Lead To

Head of Growth

Director of Growth Marketing

Director of Performance Marketing

Growth Product Manager (growth-focused product role)

Marketing Analytics Lead/Manager

Revenue Operations (RevOps) Lead (in some companies)

Transition Opportunities

Brand Marketing Lead (using experimentation to improve creative effectiveness)

Product Marketing (owning positioning and launches with a performance mindset)

General Manager / Business Unit Lead (growth + P&L responsibility)

Entrepreneurship / Consulting in growth and experimentation

Common Skill Gaps

Often Missing Skills

Proving impact beyond clicks (connecting spend to real business outcomes)Experimentation rigor (sample size thinking, avoiding false positives, documenting learnings)Attribution and measurement under privacy constraints (less user-level tracking)Landing page and funnel optimization experience (not just ad buying)Creative testing system (consistent process for generating and evaluating new concepts)Cross-functional influence (getting product/design/engineering time for growth work)

Development SuggestionsBuild a simple, repeatable growth system: set one primary metric, run 1–3 high-quality tests at a time, and publish a one-page weekly learning recap. Strengthen measurement by auditing tracking, defining clear success metrics for each test, and validating results with holdouts or incremental tests when possible.

Market Intelligence Report

Growth Marketing Lead, Performance & Experimentation is part of the Digital Marketing category.Explore our market intelligence report to see how AI and hiring demand are shifting for these roles.

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Salary & Demand

Median Salary Range

Entry LevelUSD $85k–$120k (Growth/Performance Marketer stepping into lead responsibilities)

Mid LevelUSD $120k–$170k (Lead level owning multiple channels and experimentation)

Senior LevelUSD $170k–$240k+ (Head/Director scope, larger budgets, team leadership; total compensation may be higher with bonus/equity)

Growth Trend

Strong demand, especially in companies that rely on paid acquisition and measurable growth. Hiring remains healthy but expectations are higher: employers look for proven results, strong measurement discipline, and the ability to work around privacy/tracking limitations.

Companies Hiring

Major Employers

MetaGoogleAmazonApple (subscriptions/services teams)MicrosoftShopifyTikTokUberAirbnbDoorDashStripePayPalIntuitHubSpotSalesforceAdobeBooking Holdings

Industry Sectors

Consumer tech and marketplaces (apps, subscriptions, on-demand services)E-commerce and retail (DTC brands, marketplaces)B2B software (SaaS)Financial services/fintechTravel and hospitalityMedia and streamingEducation technologyHealth and wellness (including digital health)Gaming and entertainment

Recommended Next Steps

Create a portfolio of 3–5 growth case studies: goal, hypothesis, setup, what changed, results, and what you learned

Up-level measurement: run a tracking audit (events, tags, UTMs), and ensure key funnel steps are reliably measured

Design an experimentation roadmap for the next 6–8 weeks (prioritized by expected impact and effort)

Build a lightweight dashboard that answers: Where did growth come from? What changed? What will you do next?

Practice budget and efficiency management: write a plan for scaling spend safely (guardrails, pacing, kill criteria)

Develop a creative testing pipeline: monthly themes, 10–20 variations, and a clear review cadence with design/copy

Strengthen cross-functional alignment: set a weekly growth sync with product/design/engineering and a shared backlog

Prepare for interviews: be ready to explain tradeoffs, not just outcomes (why this channel, why this test, why now)