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Growth Marketing Manager CV Example & Writing Guide

A growth marketing CV that lists only wins reads as a highlight reel, and a highlight reel is the easiest thing in the discipline to fake. Anyone can find four green numbers in three years of work. What separates a growth manager from someone who ran four campaigns is the shape of the whole programme: how many tests went out, how they were picked, how many lost, and what the losses changed. This page is one complete growth CV written at around eight years of experience, with the reasoning behind each choice and thirteen bullet rewrites you can run against your own experiment log.

Appliora Editorial Team · Updated 18 September 2026 · 10 min read

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The full CV example

One senior growth CV, owning activation and retention on a consumer fintech app.

Sanne de Vries

Growth Marketing Manager - activation, retention and lifecycle

Rotterdam, Netherlands - hybrid, two days on site

Professional summary

Growth marketer with eight years on consumer subscription and marketplace products. Owns activation and retention at Veldspar: ran 84 experiments last year at a 23% win rate, moved signup to first transfer from 31% to 44%, and holds the lifecycle programme to a permanent 10% holdout so the numbers survive a finance review. Runs a pod of five and decides what it ships next.

Experience

Growth Marketing Manager - Veldspar

2023 - present

Consumer fintech app, 1.1m registered users, growth pod of five inside a 40-person product org

  • Own activation and retention end to end: onboarding, first transaction, lifecycle messaging and the paywall, with the core transfer product staying with the product team.
  • Ran 84 experiments in twelve months across onboarding and lifecycle: 19 shipped, 46 lost outright and 19 were inconclusive, a 23% win rate I publish in the monthly readout rather than round up.
  • Raised signup to first transfer within seven days from 31% to 44% over five quarters, most of it from two changes: cutting identity verification from nine screens to four, and moving the deposit prompt after the first successful transfer instead of before it.
  • Killed a free-trial extension that lifted activation 8% because the same cohort's day-30 retention fell 5 points; the loss became the rule that no activation test ships without a 30-day retention read.
  • Rebuilt lifecycle messaging around a permanent 10% holdout, which showed the winback series was worth 3.4% incremental reactivation rather than the 11% last-touch attribution had been reporting.
  • Introduced a one-page bet doc that forces a guessed effect size and a kill criterion before a test launches; the share of tests stopped early on a peeked number went from routine to two in a year.
  • Lead a pod of five (two engineers, a designer, a product analyst and one lifecycle marketer) and chair the fortnightly session where the next four bets are chosen.

Senior Growth Marketer - Bloomly

2020 - 2023

Two-sided marketplace for home services, supply-constrained in 3 of 6 cities

  • Ran acquisition and activation on the supply side, where a buyer test only counts if there is someone to book; grew active providers per city from 210 to 640 in the two constrained markets.
  • Ran 31 paid and landing-page tests in the first year and shipped 5; wrote up the 26 losses in a shared doc that later stopped two of them being re-run by a new hire.
  • Found through a sequential test that the referral incentive was paying for bookings that would have happened anyway, and cut the budget by 60k EUR a year with no measurable drop in bookings.
  • Took provider onboarding completion from 38% to 57% by splitting a single 22-field form into three steps with the document upload last.

Marketing Executive - Halvard Media

2018 - 2020

Agency, six consumer clients

  • Ran paid social and email for six clients; built the first clean conversion tracking two of them had ever had.

Education

MSc Marketing Management - Erasmus University Rotterdam

2016 - 2018

Thesis on incentive design in referral programmes

BSc Business Administration - Tilburg University

2013 - 2016

Skills

  • Experiment design and analysis
  • Activation and onboarding funnels
  • Retention and churn analysis
  • Lifecycle and CRM messaging
  • Incrementality testing and holdouts
  • Funnel instrumentation and event design
  • Amplitude
  • GrowthBook
  • Braze
  • Looker
  • SQL
  • Figma
  • Google Ads and Meta Ads Manager

Languages

Dutch (native), English (C2), German (B1)

Writing

Publishes the quarterly experiment readout, including the losses, to the whole company

This person does not exist. Sanne, Veldspar and Bloomly are invented for this example, and so is every number in it. Put your own name, city, email, phone and one profile link here.

Why this CV works

Five things this example does that a highlight-reel growth CV does not:

  • It states the denominator

    "84 experiments in twelve months: 19 shipped, 46 lost outright and 19 were inconclusive" is a programme, not an anecdote. A CV that only carries the 19 wins describes the same year and tells a hiring manager nothing about throughput, standards or judgement. The 46 is the number that proves the 19 were selected rather than collected.

  • It names a test that failed and what the failure changed

    The free-trial extension lifted activation 8% and got killed because day-30 retention fell 5 points. That bullet is worth more than another green percentage, because it shows the candidate looked past the metric they were being judged on and then wrote a rule: no activation test ships without a 30-day retention read. An interviewer can push on that for ten minutes and the candidate will have answers.

  • It shows a number being held to a standard before it is believed

    The lifecycle holdout turned an 11% last-touch figure into 3.4% incremental, and the CV says so out loud. Reporting the smaller number is the credibility move: it tells a reader that the other figures on the page went through the same filter, and it pre-empts the question a finance lead would otherwise ask in the interview.

  • It draws the boundary with product

    "Onboarding, first transaction, lifecycle messaging and the paywall, with the core transfer product staying with the product team" says exactly what this person could and could not touch. Growth CVs blur into product CVs when the scope is left vague, and the reader assumes the smaller version anyway.

  • It says how the team decides what to ship next

    The one-page bet doc with a guessed effect size and a kill criterion, plus chairing the session where the next four bets are chosen, is the senior signal. Running tests is a mid-level job. Setting how a pod of five picks which tests are worth the two engineers is the job being advertised.

Professional summary examples

Entry level

One win out of six is a fine thing to write at this level. It shows you know what a win rate is, which most entry CVs do not.

Mid level

Mid-level is where volume and one real outcome belong together. The last clause signals you check your own numbers rather than reporting whatever the tool shows.

Senior

Senior summaries should offer a decision, not a duration. The final clause is the offer, and it is deliberately uncomfortable.

Experience bullet examples

Thirteen bullets, weak form and strong form. Every figure below belongs to the fictional example - swap in your own experiment log, your own funnel and your own win rate, because a number you cannot explain in an interview is worse than no number at all.

Weak
Ran A/B tests to improve conversion.
Stronger
Ran 84 experiments across onboarding and lifecycle in twelve months: 19 shipped, 46 lost, 19 inconclusive.
Why
Volume plus outcome split is the single most useful line on a growth CV. It tells a reader the pace of the team you can run.
Weak
Improved user activation.
Stronger
Raised signup to first transfer within seven days from 31% to 44% over five quarters.
Why
Name the activation event and the window. "Activation" means a different thing at every company you will apply to.
Weak
Optimised the onboarding flow.
Stronger
Cut identity verification from nine screens to four and moved the deposit prompt after the first successful transfer, the two changes behind most of the activation lift.
Why
Saying which two of nineteen shipped changes did the work is a claim you can be checked on, which is why it lands.
Weak
Learned from tests that did not win.
Stronger
Killed a free-trial extension that lifted activation 8% because the same cohort's day-30 retention fell 5 points, and made a 30-day retention read mandatory for activation tests afterwards.
Why
A named loss with the decision it changed beats another green number. Most candidates will not write one, which is exactly why it stands out.
Weak
Managed email and push campaigns.
Stronger
Rebuilt lifecycle messaging against a permanent 10% holdout, which put winback at 3.4% incremental reactivation instead of the 11% last-touch was reporting.
Why
Reporting the smaller, truer number is the credibility move. It also tells a reader you know what last-touch attribution does to a lifecycle programme.
Weak
Improved retention.
Stronger
Took week-four retention on the 2024 cohorts from 22% to 27% by moving the second-transaction nudge from day 14 to day 3.
Why
Retention claims need the cohort and the week, or the reader cannot tell whether you moved the metric or the definition.
Weak
Prioritised the growth roadmap.
Stronger
Introduced a one-page bet doc requiring a guessed effect size and a kill criterion before launch, cutting tests stopped early on a peeked number to two in a year.
Why
Prioritisation is invisible unless you name the artefact and what it changed.
Weak
Worked with product and engineering.
Stronger
Own onboarding, first transaction, lifecycle and the paywall; the core transfer product stays with the product team.
Why
Draw the boundary yourself. Left vague, a reader assumes you owned less than you did, or catches you claiming more.
Weak
Led a growth team.
Stronger
Lead a pod of five (two engineers, a designer, an analyst, one lifecycle marketer) and chair the fortnightly session choosing the next four bets.
Why
Composition and the decision you chair say more about seniority than a headcount on its own.
Weak
Reduced customer acquisition cost.
Stronger
Found through a sequential test that referral incentives were paying for bookings that would have happened anyway, and cut 60k EUR a year of budget with no measurable drop in bookings.
Why
A saving with the method that justified it. "Reduced CAC" alone could be a seasonality artefact and a good reader knows it.
Weak
Increased supply on the marketplace.
Stronger
Grew active providers per city from 210 to 640 in the three supply-constrained markets, where a demand test only counts if there is someone to book.
Why
Marketplace work needs the constraint stated, otherwise the number reads as generic growth.
Weak
Set up analytics tracking.
Stronger
Rewrote the event schema behind the onboarding funnel so all four steps fire from one source, ending the standing disagreement between the dashboard and the finance export.
Why
Clean instrumentation is unglamorous and it is the reason your other numbers can be trusted. Say what it fixed.
Weak
Shared results with stakeholders.
Stronger
Publish a quarterly experiment readout to the whole company with the losses included, which is how the 26 dead tests from 2021 stopped being re-run.
Why
The value of documenting losses is the re-run you prevented. Name it.

Skills that belong on this CV

Hard skills

  • Experiment design: hypothesis, effect size, sample and stopping rule
  • Incrementality measurement: holdouts, geo tests, sequential testing
  • Activation and onboarding funnel analysis
  • Retention and cohort analysis
  • Lifecycle and CRM programme design across email, push and in-app
  • Event instrumentation and tracking plan ownership
  • SQL for funnel and cohort queries
  • Paid acquisition measurement and budget allocation

Tools and technologies

  • Amplitude or Mixpanel
  • GrowthBook, Optimizely or an in-house flag system
  • Braze, Iterable or Customer.io
  • Looker, Metabase or Tableau
  • SQL against a warehouse (BigQuery, Snowflake)
  • Figma
  • Google Ads and Meta Ads Manager

Role-specific strengths

  • Deciding which of twenty ideas gets two engineers this fortnight
  • Telling a founder a favourite feature lost
  • Sizing an opportunity before anyone has built anything

Soft skills worth proving

  • Writing a readout a finance lead will not argue with
  • Working inside a product team without owning the product
  • Holding a result to a standard when the result is your own

Education and certifications

Growth hires on evidence of experiments, not on the degree. A marketing or economics degree is worth two lines for a first job and one line after that. If you moved into growth from another discipline, spend the space on the first funnel you owned rather than explaining the switch: the experiment log is the qualification.

Certifications

  • Product analytics certification (Amplitude, Mixpanel or similar vendor course) - Free and quick, so it proves familiarity rather than skill. Worth one line if the advert names the tool.
  • Google Ads and Meta Blueprint certifications - Relevant only if the role is genuinely paid-heavy. On a retention and lifecycle CV they pull the reader in the wrong direction.
  • A statistics or experimentation course with a project - The one credential worth real space, because it backs the part of the job most candidates cannot defend under questioning.

No certification is required to be hired into growth. One line each, below experience, and only when the advert asks.

How an ATS reads this CV

Appliora's ATS Checker runs 14 checks against an uploaded file and shows you the text its parser pulled out. Four of them catch what growth CVs get wrong.

  • Bullet quality

    This is the heaviest content check, and growth CVs usually pass the figure half while failing the verb half. A page of "Responsible for the lifecycle programme" and "Involved in experimentation" scores badly even with percentages in it. The check counts bullets that open with an action verb and bullets that carry a figure, so aim for both in the same sentence.

  • Concrete skills

    Growth skills blocks drift into tool soup: thirty comma-separated product names, several used once. The check looks for recognisable skills rather than orphan fragments, and a block of twelve scores better than one of thirty-five. List the tools you would be happy to be tested on and let the bullets carry the rest.

  • Format traps

    Growth candidates like to show a funnel. Funnel diagrams, sparkline charts of a retention curve and percentage figures set inside an image are all invisible to a parser, which sees a gap where your best result was. If you want the visual, keep the same numbers in the bullet text underneath it.

  • Length against experience

    At eight years with a test log this dense, the temptation is four pages listing every experiment. The check compares length against the experience you claim. Two pages, with the 2018 agency role compressed to one line the way the example does, is the version that gets read to the end.

Templates that suit this role

  • Growth Marketing

    Built for exactly this shape: a metrics-forward header and bullet blocks with room for a two-number sentence, without pushing the experiment work into a narrow column.

  • ATS Structured

    Single column, conventional headings. The safer choice when you are applying to a large fintech or marketplace through a corporate portal.

  • Bold Modern

    For direct applications and founder introductions, where a human opens the PDF and the activation numbers should be the first thing they land on.

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