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Digital Marketing CV & Resume Skills (2026) — HubSpot, Meta Ads, GA4, Klaviyo, Surfer & 80+ Bullet Examples by Level

A 2026 digital marketing CV (or US resume) is screened in under six seconds against three explicit ranking gates: did you name the channels you owned, did you name the platforms you actually used, and did you put the budget and metric next to each campaign? 'Managed social' loses to 'scaled Meta Ads from $80K to $640K monthly at 3.8x ROAS across DTC, while building a 90-ad/month creative testing pipeline'. This guide lists 80+ named tools across 10 clusters, 16 quantified bullet examples spanning Marketing Coordinator to VP Marketing / CMO, 5 resume summary templates by level, the British vs American spelling differences that ATS systems and recruiters notice, and the AI / GEO / generative-marketing layer that moved from nice-to-have to mandatory inside the past 12 months.

SEO, content & generative-engine optimisation (GEO)

  • Keyword research with Ahrefs, SEMrush, Moz, Semrush, Sistrix, or Surfer
  • On-page optimisation, content briefs and topic-cluster modelling
  • Technical SEO (Core Web Vitals, hreflang, schema.org, crawl budget, JS rendering, edge SEO)
  • Programmatic and pSEO content systems (templated landing pages at scale)
  • Internal linking strategy and authority-flow architecture
  • Link building, digital PR outreach (Roxhill, Cision, Muck Rack)
  • Google Search Console, Bing Webmaster Tools, Ahrefs Site Audit, Screaming Frog
  • Generative-engine optimisation (GEO) for ChatGPT, Perplexity, Claude, Google AI Overviews & SGE
  • International SEO (hreflang, multi-region site architecture, localisation)
  • Schema and structured data (FAQPage, HowTo, Product, Article, BreadcrumbList)

Paid media, SEM & performance acquisition

  • Google Ads (Search, Performance Max, Demand Gen, Display, YouTube, Shopping)
  • Meta Ads Manager (Facebook, Instagram, Reels, Threads, Audience Network)
  • LinkedIn Ads (Sponsored Content, ABM Lists, Conversation Ads, Document Ads)
  • TikTok Ads, Reddit Ads, Pinterest Ads, Snapchat, X (Twitter) Ads
  • Programmatic & DSPs (DV360, The Trade Desk, StackAdapt, Yahoo DSP)
  • ROAS, CPA, CAC, LTV, MER, NCAC and blended-CAC optimisation
  • Bidding strategy (tCPA, tROAS, max conversions, manual CPC, value-based bidding)
  • Negative keyword & audience exclusion management; suppression list hygiene
  • Landing page & creative A/B testing (Unbounce, Webflow, Instapage)
  • iOS 14.5+ ATT, GA4 Consent Mode v2 and Enhanced Conversions setup

Email, CRM & marketing automation

  • Klaviyo, Mailchimp, ActiveCampaign, Customer.io, Iterable, Braze, MoEngage
  • HubSpot Marketing Hub, Marketo, Pardot, Salesforce Marketing Cloud (Account Engagement)
  • Lifecycle & trigger-based flows (welcome, abandonment, win-back, cross-sell, NPS, churn-save)
  • List segmentation, RFM modelling, predictive segments, dynamic content blocks
  • A/B, hold-out and multivariate testing for subject lines, send time and offer
  • Deliverability (SPF, DKIM, DMARC, BIMI, list-warming, sender reputation)
  • SMS, push & in-app messaging (Attentive, Postscript, Klaviyo SMS, OneSignal, Iterable SMS)
  • Loyalty & retention (Yotpo, LoyaltyLion, Smile.io, Friendbuy referral programmes)
  • Customer-journey orchestration (Bloomreach, Insider, Moveable Ink personalisation)

Social media, creator & content distribution

  • Organic strategy across LinkedIn, Instagram, TikTok, X, YouTube, Threads, Reddit
  • Short-form video production (Reels, Shorts, TikTok native, YouTube Shorts)
  • Influencer and creator partnerships (Aspire, Tribe, Grin, CreatorIQ)
  • Community management & social listening (Sprout Social, Hootsuite, Brandwatch, Sprinklr)
  • Editorial calendar planning in Notion, Asana, Trello, Airtable, Monday
  • Paid social creative testing pipelines (Motion, Atria, Foreplay, Pencil)
  • UGC sourcing, brief writing and rights-management workflows
  • Long-form podcast and webinar production (Riverside, StreamYard, Zoom Webinars)

Analytics, attribution, experimentation & CRO

  • Google Analytics 4 (GA4), event modelling, custom dimensions, Explorations
  • Looker Studio, Power BI, Tableau, Hex dashboards
  • Attribution modelling (data-driven, multi-touch, MMM via Robyn / Recast / LightweightMMM)
  • Server-side tracking (GTM Server-Side, Stape, Addingwell, Snowplow)
  • Conversion rate optimisation (Optimizely, VWO, Convert, AB Tasty, Statsig)
  • Heatmaps & session recording (Hotjar, Microsoft Clarity, Fullstory, Contentsquare)
  • Cohort analysis, funnel diagnosis & retention-curve analysis
  • SQL for marketing analytics (BigQuery, Snowflake, Redshift); dbt models

AI, GEO & generative-marketing (the 2026 differentiator)

  • ChatGPT, Claude, Gemini, Perplexity for content, research and ideation workflows
  • Jasper, Copy.ai, Writer, Lex, Anyword for at-scale brand-voice copy
  • AI-powered SEO (Surfer, Frase, Clearscope, MarketMuse, Outranking)
  • Image and video generation (Midjourney, Runway, Sora, Veo, Adobe Firefly, Ideogram)
  • AI ad-creative generation (Pencil, AdCreative, Omneky, Creatify)
  • Generative-engine optimisation (GEO) — ranking inside ChatGPT, Perplexity, AI Overviews
  • Prompt engineering, RAG pipelines and AI agent workflows for marketing
  • AI personalisation engines (Mutiny, Intellimize, Dynamic Yield)

MarTech, CDP & data infrastructure

  • Customer data platforms (Segment, mParticle, RudderStack, Tealium, Lytics)
  • Reverse-ETL & activation (Hightouch, Census, Polytomic)
  • Data warehouses (BigQuery, Snowflake, Redshift, Databricks)
  • Identity resolution & deterministic stitching
  • Marketing automation orchestration (Zapier, Make, n8n, Workato)
  • Tag management (Google Tag Manager, Tealium iQ, Adobe Launch)
  • Headless CMS (Contentful, Sanity, Storyblok) and front-end stack literacy

Brand, PR, content production & creative

  • Brand strategy, positioning and messaging frameworks
  • Editorial direction, voice & tone guidelines
  • Earned-media PR (Roxhill, Cision, Prowly, Muck Rack)
  • Award entries, speaking submissions and category creation
  • Production management (Frame.io, Adobe Premiere, CapCut, Canva, Figma)
  • Photo & video shoot direction; talent and location coordination
  • Print, OOH and event activation

Privacy, compliance & marketing data governance

  • GDPR, UK GDPR, CCPA / CPRA, LGPD, India DPDP compliance for marketing data
  • Consent management (OneTrust, Cookiebot, Sourcepoint, Iubenda, Didomi)
  • Google Consent Mode v2, IAB TCF v2.2, Apple ATT framework
  • Data subject access requests (DSAR), retention policies and right-to-erasure flows
  • Audit-ready documentation, ROPA records and DPIA support
  • Cookieless tracking strategy, first-party data programmes and clean-room readiness (LiveRamp, Habu, AWS Clean Rooms)

Strategy, leadership, marketing ops & P&L

  • Marketing strategy, channel-mix planning and quarterly OKRs
  • Budget management, marketing forecasting and CFO-grade modelling
  • Cross-functional collaboration with Sales, Product, RevOps, Brand and Customer Success
  • Agency management, vendor selection, RFP and SOW negotiation
  • Board, exec and investor reporting (CAC payback, NRR, marketing-influenced pipeline)
  • Hiring, mentoring, performance management and team-building (10–80 FTE marketing orgs)
  • Marketing operations (Agile / sprint-based marketing, intake processes, Asana / Monday workflows)
  • Pipeline-to-revenue accountability and marketing-sourced contribution to ARR / NRR

Resume bullet examples

  • Grew organic search traffic 187% YoY (4.2K → 12.1K monthly visitors) through a technical SEO overhaul, 80-piece content calendar and topic-cluster restructure — outperforming paid CAC by 4x and surfacing on Google AI Overviews for 14 commercial-intent queries.
  • Managed £420K annual Google Ads budget across Search, PMax and YouTube; reduced CPA 34% (£82 → £54) through audience segmentation, negative keyword cleanup, server-side conversion uploads and a 14-test landing page programme in Unbounce.
  • Built lifecycle email programme in Klaviyo (welcome, browse-abandon, win-back, post-purchase, replenishment); flows now drive 24% of total monthly DTC revenue at 38% average open rate, 4.1% conversion rate and 6.2x list-blended ROAS.
  • Scaled Meta Ads from $80K to $640K monthly spend over 18 months while improving ROAS from 2.1x to 3.8x through a 90-ad/month creative testing pipeline (Motion + Atria), value-based bidding and iOS 14.5+ ATT-resilient signal architecture.
  • Owned full-funnel attribution rebuild: migrated from last-click to data-driven attribution in GA4, set up server-side tracking via GTM Server-Side and Stape, and aligned reporting across Sales/Marketing in HubSpot — closed a 31% gap between ad-platform and warehouse-reported conversions.
  • Launched LinkedIn ABM programme targeting 1,200 enterprise accounts (1k+ employees) using LinkedIn Sales Navigator + Demandbase; sourced 38 SQLs and £1.4M closed-won pipeline in first two quarters at £37k average ACV.
  • Led TikTok organic and paid strategy from cold start; grew to 84K followers in 9 months and added £220K incremental DTC revenue at 2.9x ROAS, including a 6-creator UGC programme that produced 142 native ads in Q4.
  • Implemented AI content workflow combining ChatGPT, Claude and Surfer SEO; cut blog production cost from £380 to £110 per piece while increasing average word count, and ranked page-1 within 8 weeks for 60% of new posts — including six top-3 positions on commercial-intent queries.
  • Rebuilt marketing analytics stack (Segment → BigQuery → dbt → Looker Studio); replaced 12 disconnected dashboards with one source of truth for CAC, LTV, channel ROAS and MQL→SQL conversion — cut weekly reporting time from 6 hours to 25 minutes and unblocked monthly board pack.
  • Led 6-person marketing team (SEO, paid, content, lifecycle) at £25M ARR B2B SaaS; owned £1.8M annual budget, grew MRR 142% over 18-month tenure and lifted marketing-sourced pipeline from 22% to 41% of new ARR.
  • Reduced CAC payback from 14 to 7 months by reallocating spend from Display and broad-Pmax to retargeting and lifecycle email after multi-touch attribution and Robyn-based MMM surfaced channel-level efficiency loss.
  • Designed and launched referral programme in Friendbuy; 11% of new customer acquisition now comes from referrals at 70% lower CAC than paid social, with a tiered reward structure tested via Statsig.
  • Marketing Coordinator: launched 2 nurture flows in HubSpot, repurposed 18 webinars into 54 LinkedIn carousels and short-form videos, and grew company LinkedIn followers 38% in 6 months — sourced 142 inbound demos.
  • Senior Performance Marketing Manager (DTC e-commerce): owned $2.1M monthly Meta + Google + TikTok budget across 4 brands; held blended ROAS at 3.4x while driving NCAC 22% lower YoY through a creative concept-testing protocol and audience-architecture rebuild.
  • Director of Demand Generation (B2B SaaS, Series C): rebuilt the demand-gen org from 3 to 9 FTE, owned the marketing-sourced ARR target (rose from £4.2M to £11.8M in 18 months), implemented 6sense + Demandbase ABM and shifted 38% of paid spend from broad to ABM-targeted Linkedin/Display.
  • VP Marketing / interim CMO: owned $14M annual marketing budget and 22-person team across brand, demand, lifecycle, content and ops; lifted marketing-sourced pipeline to 47% of new ARR, ran a CMO-grade MMM (Recast) that re-baselined budget allocation, and ran the Series-D narrative work that closed a $90M round.
Get these skills onto your resume in the recruiter's language

Paste a job URL and your background into WadeCV. It maps your real experience against the posting, mirrors the exact skill keywords the ATS screens for, and writes quantified, recruiter-ready bullets — ATS-safe DOCX, free to try with 1 credit included.

Resume summary templates by level

  • Marketing Coordinator — Coordinator with [X] months supporting [SEO / paid / lifecycle / content] across [B2B SaaS / DTC / agency]. Hands-on with [HubSpot, Klaviyo, GA4, Canva, Notion]. Shipped [X] campaigns generating [X demos / X% engagement lift / £X pipeline] and built [X] templated workflows that cut briefing time [X%].
  • Senior Marketing Manager — Senior digital marketer with [X] years across [paid acquisition + lifecycle + content]. Owned [£X / $X] annual budget across [Meta Ads, Google Ads, LinkedIn Ads, Klaviyo, HubSpot]. Reduced CAC [X%], lifted [ROAS / MRR / NCAC] [X%] and managed [X] direct reports plus [X] agency partners.
  • Head of Marketing / Senior Manager — Full-stack marketing leader across [SEO, paid, lifecycle, partnerships, brand]. [X]-person team, [£X / $X] budget, accountable for [X% of pipeline / X% of new ARR]. Built [attribution / MMM / GEO / ABM] capability and shipped [X] cross-functional launches that grew [revenue line] [X%].
  • Director of Demand Generation / Director of Marketing — Director-level B2B / DTC marketer accountable for [pipeline / revenue] target of [£X / $X]. Owned [X]-person team across demand, ops and content; lifted marketing-sourced ARR from [X%] to [X%] over [X months] through [ABM / paid / lifecycle / RevOps alignment].
  • VP Marketing / CMO — Marketing executive owning [P&L line / ARR target / brand]. [X]-person org, [£X / $X] annual budget, board reporting on [CAC payback, NRR, marketing-sourced ARR]. Led [Series-X narrative / repositioning / category-creation / international expansion / MMM-driven re-allocation] that grew [revenue / valuation / pipeline] [X%].

A digital marketing CV (UK / EU / IN / AU) or a digital marketing resume (US / CA) in 2026 is screened in under six seconds against three explicit ranking gates: channels owned, platforms named, and metrics moved. Adjectives like 'creative', 'strategic' or 'data-driven' are filler — they describe every applicant. What separates the shortlisted from the rejected is whether each bullet names the platform, the budget, the time window and the outcome.

## The 4-part bullet shape recruiters and ATS systems both reward

Every bullet on a 2026 digital marketing CV should hit four parts in one sentence: (1) the channel, (2) the named platform / tool, (3) the budget, headcount or scope, (4) the metric you moved. 'Scaled Meta Ads from $80K to $640K monthly at 3.8x ROAS through a 90-ad/month creative testing pipeline' hits all four. 'Managed social media' hits zero, and disqualifies the whole CV in mid-and-senior screens. The same shape works for B2B SaaS pipeline ('owned £420k LinkedIn ABM budget across 1,200 named accounts; sourced £1.4M closed-won pipeline'), DTC e-commerce ('drove 24% of monthly DTC revenue via Klaviyo lifecycle programme at 6.2x list-blended ROAS'), agency ('retained 4 enterprise clients at £180k average annual fee; grew agency revenue 64% YoY') and in-house enterprise ('rolled out marketing-attribution rebuild across 7 EMEA markets; lifted reported MQL→SQL conversion 31%').

## B2B SaaS vs DTC e-commerce vs Agency vs In-house enterprise — the vocabulary divergence

The four employer types screen for completely different vocabulary, and this is where most digital marketing CVs lose ground. **B2B SaaS** wants HubSpot / Marketo / Pardot / Salesforce Marketing Cloud, ABM (6sense, Demandbase, Terminus), pipeline metrics (MQL, SQL, SAL, Opportunity, Closed-Won), Lead-to-Customer conversion, marketing-sourced ARR / pipeline contribution, NRR, and integration with Sales (SDR enablement, RevOps). **DTC e-commerce** wants Klaviyo / Shopify Plus / Recharge / Yotpo / Gorgias, MER (marketing efficiency ratio), NCAC (new-customer CAC), AOV / repeat-purchase rate, blended ROAS vs incremental, retention curves, post-iOS-14.5 server-side stack, and creative volume (concepts/month, hook variation, UGC pipeline). **Agency-side** wants billable utilisation, retention rate, account growth, RFP and pitch wins, P&L per client, multi-account orchestration, and senior-stakeholder management at the CMO level. **In-house enterprise** wants global / regional alignment, cross-market launch coordination, brand-and-demand split, board / exec reporting, compliance and privacy programmes (GDPR / CCPA / DPDP), and procurement / agency-management.

If you are applying across types, write three CV variants — not one — and rewrite every bullet in the target type's vocabulary. Same career, three different stories.

## Level progression — Coordinator → Specialist → Manager → Senior Manager → Director → VP / CMO

The verbs and metrics scale at every level. **Marketing Coordinator** uses 'supported / launched / drafted / repurposed / built'; metric scope is content shipped, list growth, demos sourced. **Specialist** owns one channel end-to-end ('owned organic LinkedIn growth from 4k to 38k followers, 142 inbound demos sourced'). **Manager** owns 1–2 channels and budget under £200k, manages 1–2 contractors. **Senior Manager / Lead** owns multi-channel mix, budget £200k–£1.5M, 2–4 reports. **Head of Marketing** at a Series A/B is the de facto VP — full-stack ownership, 4–8 reports, marketing-sourced pipeline accountability. **Director of Demand Gen / Director of Marketing** owns a pipeline or revenue target, sits on the leadership team, manages 6–12 FTE and £1M–£5M annual budget. **VP Marketing / CMO** owns marketing P&L, board reporting, MMM-grade budget allocation, brand strategy, hiring up to and including Senior Director / Head-of, and the Series narrative for the company. Use verbs and budget figures that match — under-claiming kills mid-level CVs and over-claiming kills senior CVs.

## The AI / GEO / generative-marketing layer (the 2026 differentiator)

In the last 12 months, AI has moved from a 'nice-to-have' bullet to a hard screening filter for senior digital marketing roles. Job descriptions for Director-and-above now explicitly list 'experience deploying AI in content / campaign / analytics workflows', 'familiarity with ChatGPT, Claude, Gemini for marketing applications' and increasingly 'experience optimising for ChatGPT, Perplexity, Google AI Overviews and SGE (generative-engine optimisation, GEO)'. List the specific tool **and** the concrete outcome: 'cut blog production cost from £380 to £110 per piece using ChatGPT + Surfer workflow; ranked page-1 within 8 weeks for 60% of new posts' is far stronger than 'familiar with AI tools'. The named tools recruiters look for in 2026: ChatGPT, Claude, Gemini, Perplexity, Jasper, Copy.ai, Writer, Surfer, Frase, Clearscope, MarketMuse, Midjourney, Runway, Sora, Pencil, AdCreative, Mutiny, Intellimize. GEO (generative-engine optimisation) is the new SEO and is a top-3 differentiator on senior CVs in 2026.

## Career-change translation — from sales / from copywriting / from journalism / from data / from product

A career-change CV into digital marketing should translate prior vocabulary, not hide it. **From B2B sales** → 'pipeline generation, account-based outreach, CRM (Salesforce / HubSpot) management, MQL→SQL conversion, sales–marketing alignment'. **From copywriting / journalism** → 'editorial calendar ownership, brand-voice frameworks, long-form content strategy, SEO-led content briefs, editorial leadership of contributors'. **From data / analytics** → 'marketing analytics, attribution modelling (data-driven, MMM, multi-touch), GA4 implementation, CDP / data-warehouse integration, dashboard ownership for marketing leadership'. **From product** → 'cross-functional launch leadership, growth experimentation (Optimizely, VWO, Statsig), activation and retention metrics, north-star modelling'. **From retail / hospitality / agency-adjacent roles** → 'customer-facing experience, NPS / CSAT measurement, brand voice and on-brand communications at scale'. Lead with measurable side projects and certifications (Google Ads, Meta Blueprint, HubSpot Inbound, GA4 Skillshop, LinkedIn Marketing Labs).

## Regional spelling, length & format — UK / US / EU / IN / AU / SG

UK and Australian CVs run two pages and use British / Commonwealth English ('optimised', 'organisation', 'analyse', 'centre', 'colour', 'programme'). US resumes target 1–2 pages and use American spelling ('optimized', 'organization', 'analyze', 'center', 'color', 'program'). EU CVs are often 2–3 pages and may include language proficiency (CEFR levels), GDPR data-handling experience, and locally-recognised certifications. India / Singapore / UAE CVs frequently include languages spoken, willingness-to-relocate, and visa-status notes. Recruiters notice spelling mismatches — applying for a London role with American spelling reads as 'didn't read the brief'. ATS keyword matching is also case- and spelling-sensitive: a posting that lists 'Behavioural Analytics' will not match a CV that lists 'Behavioral Analytics' on a strict-mode parser.

## How to use WadeCV for this

WadeCV reads each digital marketing job description (any source — LinkedIn, Indeed, Greenhouse, Lever, Ashby, company career pages) and rewrites your CV to mirror the channels, named platforms and exact metric vocabulary it specifies — in the right regional spelling. Upload your CV, paste the job link, and you'll see a fit analysis with the channel / tool / metric gaps highlighted in 30 seconds. Tailored CV and cover letter follow in one click — DOCX export, ATS-friendly formatting, no template lock-in.

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Paste a job URL and WadeCV matches your skills to what the employer wants — then rewrites your bullets to prove each one.

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Common mistakes to avoid

  • Writing 'managed social media' or 'ran campaigns' without naming the platform, budget, time window or metric — every digital marketer claims this and ATS-and-recruiter screens both filter it out
  • Listing tool categories ('email tool', 'analytics platform') instead of named platforms (Klaviyo, HubSpot, GA4, BigQuery) — ATS filters on exact tool strings, and recruiter Boolean search uses tool names verbatim
  • Omitting budget and metric on paid campaigns — ROAS, CPA, CAC, MER, NCAC and absolute spend are non-negotiable on any paid-media bullet; bullets without them read as junior
  • Forgetting AI / GEO — in 2026 senior digital marketing job descriptions explicitly request ChatGPT / Claude / Surfer fluency and increasingly generative-engine optimisation experience
  • Using American spelling ('optimized', 'organization', 'analyze', 'program') on a UK / EU / AU posting — or British spelling on a US posting — signals you did not read the brief
  • Burying budget figures and channel mix in paragraphs instead of leading every bullet with a number on the left of the sentence
  • Listing every platform you have ever logged into — depth in 4–5 platforms beats shallow exposure to 20; senior CVs go DEEPER on fewer tools
  • No attribution methodology stated for senior analytics or growth roles — 'last-click vs data-driven vs MMM' is a common Director-level interview question
  • Mixing B2B SaaS vocabulary (MQL, SQL, ARR, NRR, ABM) with DTC vocabulary (AOV, MER, NCAC, retention curves) on the same CV — write three variants tailored to the employer type, not one generic CV
  • Missing the privacy-and-consent layer for senior in-house roles — Consent Mode v2, iOS 14.5+ ATT, GDPR / CPRA / DPDP, server-side tracking and consent-management platforms (OneTrust, Cookiebot, Sourcepoint) are increasingly screened on Director-and-above CVs

Frequently asked questions

  • What digital marketing skills should be on a CV (or resume) in 2026?

    Group 8–15 named skills across four areas. Paid acquisition: Google Ads (Search, Performance Max, Demand Gen), Meta Ads Manager, LinkedIn Ads, TikTok Ads, programmatic (DV360, The Trade Desk). Lifecycle and CRM: Klaviyo, HubSpot Marketing Hub, Marketo, Pardot, Customer.io, Iterable, Braze. Analytics and attribution: GA4, Looker Studio, BigQuery / Snowflake, server-side tracking (GTM Server-Side, Stape), attribution modelling (data-driven, MMM via Robyn / Recast). AI and GEO: ChatGPT, Claude, Surfer, Frase, Jasper, Midjourney plus generative-engine optimisation for ChatGPT / Perplexity / Google AI Overviews. Senior CVs add CDP / reverse-ETL (Segment, mParticle, Hightouch), SQL and dbt fluency, and privacy-stack experience (Consent Mode v2, iOS 14.5 ATT, GDPR / CPRA).

  • What digital marketing CV / resume keywords pass ATS at Greenhouse, Lever, Workday and Ashby?

    Pull keywords verbatim from the posting and use exact spelling. Tools: Google Ads, Meta Ads Manager, LinkedIn Ads, GA4, HubSpot, Marketo, Pardot, Klaviyo, Ahrefs, SEMrush, Surfer, Looker Studio, BigQuery, Segment, Hightouch. Metric abbreviations: ROAS, CAC, LTV, CPA, CTR, MER, NCAC, MQL, SQL, NRR, AOV. Channel terms: paid social, programmatic, lifecycle email, organic search, ABM, demand generation, growth marketing. Methodology: attribution modelling, A/B testing, CRO, MMM, server-side tracking, Consent Mode v2. ATS filters match exact strings — 'GA4' will not match 'Google Analytics 4' on strict-mode parsers, so mirror the posting's capitalisation and abbreviation choices.

  • What are the differences between a digital marketing CV (UK) and a digital marketing resume (US)?

    A UK / EU / Australian / Indian digital marketing CV runs two pages (occasionally three for 15+ years' experience) and uses British / Commonwealth spelling: 'optimised', 'organisation', 'analyse', 'centre', 'programme'. A US digital marketing resume targets one page (junior) or two pages (senior+) with American spelling: 'optimized', 'organization', 'analyze', 'center', 'program'. Photo, date of birth and marital status should be excluded from both — these are common in some EU formats but considered outdated. Salary expectations are rarely listed. UK CVs typically include a personal-statement / professional summary at the top; US resumes use a 'Summary' block. ATS keyword matching is spelling-sensitive: a London posting using 'optimised' will mismatch an 'optimized' CV under strict parsers.

  • How do I quantify digital marketing achievements on a CV — what numbers actually matter?

    Every bullet should answer four questions in one sentence: which channel, which platform, what scope (budget / headcount / accounts), what metric moved. Examples: '£420k Google Ads spend → CPA reduced 34% from £82 to £54' (paid). '24% of monthly DTC revenue at 6.2x list-blended ROAS' (lifecycle). '£1.4M closed-won pipeline at £37k average ACV' (B2B SaaS / ABM). 'Cut blog production cost 71% via ChatGPT + Surfer workflow' (AI). If you do not have access to financials, use proxies: posts shipped, list growth, demos sourced, accounts targeted, follower growth, dashboards built. Senior roles need P&L-grade numbers (marketing-sourced pipeline %, NRR contribution, CAC payback, MMM-driven re-allocation).

  • Should I list AI tools like ChatGPT, Claude and Surfer on a 2026 marketing CV?

    Yes — AI / generative-marketing fluency is explicitly listed in most senior digital marketing job descriptions in 2026, and absence is now a screening signal at Director-and-above. List specific tools (ChatGPT, Claude, Gemini, Perplexity, Jasper, Surfer, Frase, Midjourney, Runway, Pencil, Mutiny) and pair each with a concrete outcome — 'cut blog production cost 71% using ChatGPT + Surfer workflow' or 'launched AI ad-creative pipeline in Pencil; produced 142 native video ads/quarter at 38% lower cost-per-creative'. GEO (generative-engine optimisation — ranking inside ChatGPT, Perplexity, Google AI Overviews and SGE) is the newest and most differentiating senior-CV signal in 2026. Listing AI tools without an outcome reads as padding; pairing them with measurable impact reads as leverage.

  • What digital marketing skills should I list at junior, mid, senior and director / VP levels?

    Junior (Coordinator / Specialist): hands-on tool fluency in 2–3 platforms (HubSpot, Klaviyo, GA4, Canva, Meta Ads), content shipped, list growth, basic A/B testing. Mid (Manager / Senior Manager): multi-channel ownership, budget £100k–£1.5M, 1–4 direct reports, agency partner management, attribution literacy. Senior (Head of Marketing / Director): P&L line ownership, marketing-sourced pipeline accountability, ABM / demand-gen strategy, MMM literacy, 4–10 reports, board / exec reporting on CAC payback and NRR. VP / CMO: full marketing org (15+ FTE), $5M+ annual budget, brand and demand split, Series-narrative work, MMM-driven budget reallocation, hiring directors, international / cross-market scaling. Match verbs to level — under-claiming kills mid-level CVs and over-claiming kills senior CVs.

  • How do I write a digital marketing CV with no experience or as a career changer?

    Lead with measurable side projects, freelance work and certifications. Personal blog ranking page-1 for any commercial-intent query is an SEO portfolio. Running Meta Ads for a friend's small business with real budget and ROAS counts as paid-media experience. Earned a HubSpot Inbound, Google Ads, Meta Blueprint, GA4 Skillshop or LinkedIn Marketing Labs certification — list them under Education or a Certifications block. Career changers should translate prior vocabulary into marketing terms: a B2B sales rep becomes 'pipeline generation, CRM management (Salesforce / HubSpot), MQL→SQL conversion'; a data analyst becomes 'marketing analytics, GA4 implementation, attribution modelling, dashboard ownership'; a copywriter becomes 'editorial calendar ownership, SEO-led briefs, brand-voice systems'.

  • Should I list specific social media platforms or general 'social media management' on a marketing CV?

    Always list specific platforms with channel-specific results: 'LinkedIn (organic +38k followers, 142 inbound demos), TikTok (+84k followers, £220k incremental DTC revenue), Instagram (+24% engagement YoY)'. Generic 'social media management' is filler. Hiring intent matters — B2B SaaS wants LinkedIn and YouTube long-form; DTC e-commerce wants Meta, TikTok and Pinterest; B2C entertainment wants TikTok and YouTube Shorts. Pair platform names with the specific channel craft you own (UGC sourcing, creator partnerships via Aspire / Grin, paid-creative testing pipelines via Motion / Atria, social listening via Sprout Social / Brandwatch). Channel-specific platform fluency is what hiring managers screen for in 2026.

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