The specific signals an experienced growth marketer hiring panel grades on during the eight-second scan.

• Experimentation velocity in summary

  'Ships 8-12 experiments/month with 38% positive-result rate' beats 'growth marketer.' Velocity + win rate.

• Funnel outcomes quantified

  Conversion lifts (signup → activation → trial → paid), retention curves, CAC/LTV. Growth-specific metrics.

• PLG / product growth fluency (where applicable)

  In-product onboarding, activation flows, freemium → paid mechanics. PLG signals modern growth.

• Experimentation tooling named

  GrowthBook, Statsig, Optimizely, LaunchDarkly, Amplitude Experiments. Specific tools.

• Cross-functional with PM + Eng + Data

  Growth ships through Eng + Data partnership. Surface cadence + scope.

• Statistical rigor

  Statistical significance, MDE (minimum detectable effect), test-stop discipline. Rigor = senior signal.

1. 1

   Open with funnel scope + velocity + outcome

   Senior: 'Senior Growth Marketer at a PLG SaaS; owns the activation + monetization funnel ($14M ARR). 12 experiments/month, 38% win rate.' Mid: 'Growth Marketer at a B2B SaaS; owns signup + onboarding stage.' Entry: 'Growth Associate at a startup; supported 84 experiments in 2024.'

2. 2

   Quantify experimentation

   Annual + monthly velocity, three-bucket outcome (positive / null / inconclusive), priority test surfaces (signup, onboarding, pricing, in-product, email). Statistical discipline (MDE, sample size, stop rules).

3. 3

   Surface funnel outcomes

   Funnel-stage before/after with lifts + statistical significance + sample size + intervention attribution. Multi-stage funnel ownership is the senior pattern.

4. 4

   Name PLG mechanics + unit economics

   PLG specifics: activation flow, Aha! moment, freemium-to-paid prompt, expansion mechanics. Unit economics: CAC, LTV, payback, blended CAC where applicable.

5. 5

   Close with cross-functional + tools + community

   PM + Eng + Data partner cadence. Experimentation tool stack. Reforge / Section / Lenny's network membership + speaking at growth conferences.

Each follows the [verb] [object] [number] structure hiring managers grade against. Copy them as a starting point, swap in your own numbers, and read the annotation to understand why each one works.

• Experimentation

  Experimentation program: 144 experiments shipped in 2024 (avg 12/month); 38% positive (statsig + practically meaningful), 28% null, 34% inconclusive; primary test surfaces: signup, onboarding, pricing page, in-product activation.

  Why it works: Annual + monthly velocity + three-bucket outcomes + four test surfaces.

• Funnel

  Funnel improvements 2024: signup → trial 38% → 56% (+18pp via signup-form redesign), trial → activated 42% → 64% (+22pp via onboarding rebuild), trial → paid 14% → 25% (+11pp via pricing-page + email-nurture work).

  Why it works: Three funnel steps + before/after + lift + intervention attribution.

• PLG

  PLG mechanics: rebuilt the in-product activation flow (5 steps → 3 steps); added Aha! moment trigger at minute 4 (was minute 11); 7-day activation rate rose 42% → 64%; rebuilt the freemium-to-paid prompt + upgrade flow.

  Why it works: Activation flow + Aha! moment timing + activation rate + upgrade-flow work.

• Pricing

  Pricing-page optimization: 4 experiments shipped Q3 2024 (annual-vs-monthly default, plan-tier reorder, social proof, money-back guarantee); cumulative lift on plan-page → trial 28%; lift held in post-launch holdout.

  Why it works: Experiment count + four lever types + cumulative lift + holdout validation.

• Lifecycle email

  Email lifecycle (Iterable): rebuilt the 14-touch new-user nurture sequence + the 8-touch trial-ending sequence; trial → paid attributable to email 22% (was 14%); avg email open 38%, click 8%.

  Why it works: Sequence rebuild + touch counts + attribution + engagement metrics.

• Rigor

  Statistical rigor: defined MDE + sample-size requirements per test surface; stopped 12 experiments early for futility per pre-registered stop rules; no peeking, no p-hacking culture.

  Why it works: MDE + sample-size + stop-rule discipline + cultural framing.

• Cross-functional

  Cross-functional: weekly experiment review with 2 PMs + 1 PM lead + 2 frontend engineers + 1 data analyst; quarterly growth roadmap with VP Product + VP Marketing + Head of Data.

  Why it works: Partner counts + cadence + planning scope.

• Unit economics

  Unit economics partnership: monthly with finance team on CAC payback + LTV/CAC tracking; informed $4.8M of 2024 demand-gen spend allocation based on segment LTV/CAC profiles.

  Why it works: Cadence + spend influence + LTV/CAC segment work.

• Tools

  Tool stack: Amplitude (product analytics + experiments), Statsig (advanced experimentation), Iterable (email lifecycle), Segment (CDP); partnered with data team on BigQuery + dbt models for custom funnel + cohort analyses.

  Why it works: 5 specific tools + use case per tool + data-team partnership.

• Mentorship

  Mentored 2 growth associates through their first solo experiments; both shipped 4+ experiments by month 6 with positive learnings (not necessarily wins).

  Why it works: Mentee count + ramp + outcome (learning-focused vs win-focused).

• Community

  Community: Reforge alum (Growth Series 2022); Lenny's Slack community member; spoke at Section's Growth Sprint 2024 ('Building experimentation velocity').

  Why it works: Three credible growth-community signals + speaking.

• Operational

  Authored the team's experimentation playbook: hypothesis framework + 6-week test-cycle + post-launch holdout discipline + cross-team learning syndication; adopted across 4 growth pods.

  Why it works: Playbook + four components + cross-team adoption.

Same intent, two phrasings. Read why the right column lands on the keep-pile and the wrong column doesn't.

Patterns our writers see most often when reviewing growth marketer resumes — each one disqualifies candidates faster than weak experience does.

• Mistake

  Vague 'improved conversion.'

  Fix

  Funnel stage + before/after + lift + statistical significance + intervention attribution.

• Mistake

  Experiment count without win rate.

  Fix

  Velocity + win rate together. '12 experiments/month with 38% positive results' is the senior signal.

• Mistake

  PLG claims without specific mechanics.

  Fix

  Activation flow + Aha! moment + freemium-to-paid + expansion. PLG is a vocabulary.

• Mistake

  Generic 'used analytics tools.'

  Fix

  Name Amplitude / Mixpanel / Statsig / Optimizely / Iterable + use case per tool.

• Mistake

  Missing statistical rigor.

  Fix

  MDE + sample size + stop rules + holdout discipline. Rigor distinguishes senior growth.

• Mistake

  Two-page resume below Head of Growth.

  Fix

  1-2 pages for growth marketer + senior; 2 pages for Head / VP.

• Mistake

  Conflating growth with demand gen or content.

  Fix

  Growth is experimentation + funnel + retention. Demand gen is paid + lifecycle nurture. Pick your track.

• Mistake

  No cross-functional partner detail.

  Fix

  Growth ships through Eng + PM + Data. Surface cadence + roles + planning scope.

Strong verbs lead strong bullets. Replace generic openers (worked on, helped with, was responsible for) with the specific verb that matches what you actually did.

ATS pipelines weight your Skills section as a structured list. Include 15-25 of the items below if they match your experience — not soft skills.