Performance Marketing Manager

6 years

0 Lacs

Posted:6 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Role overview

CAC/ROAS/LTV

Key responsibilities
  • Strategy & planning:

    Translate revenue/lead targets into channel plans, budgets, and forecasts; set guardrails (CAC/ROAS/MER, payback).
  • Channel ownership:

  • Search:

    Google/Bing—keyword strategy, negatives, SKAG/STAG structures, PMax, Shopping/Feeds.
  • Paid social:

    Meta, TikTok, LinkedIn/Twitter—audiences, creative rotation, CAPI, offline conversions.
  • Display/programmatic:

    Remarketing, prospecting, brand safety, DV360 (or network).
  • Affiliates/influencers:

    Recruit, negotiate, track, and optimise to incremental lift.
  • App UA:

    Apple Search Ads, Google UAC, SKAdNetwork setup, MMP alignment.
  • Analytics & measurement:

    Own attribution and tracking (GA4/GTM, MMPs like AppsFlyer/Adjust). Build dashboards for

    CAC, ROAS, LTV:CAC, CVR, CTR, CPA, AOV, MER

    , cohort retention, and funnel drop-off.
  • Experimentation:

    A/B and multivariate tests (ads, audiences, bids, landing pages), geo holdouts/incrementality, and learning agendas with clear decision criteria.
  • Creative & messaging:

    Write briefs, partner with design/UGC creators, run concept and format tests (static vs video; hooks; angles).
  • CRO & landing pages:

    Hypothesis backlog, test velocity, page-speed and UX checks (VWO/Optimizely/LaunchDarkly; Hotjar/Clarity).
  • Lifecycle & remarketing:

    Build retargeting and CRM-triggered audiences (email/SMS), cart and lead-recovery flows.
  • Governance:

    Ensure policy compliance (platform policies), consent & privacy (Consent Mode v2, GDPR/CCPA where relevant), brand safety, and accurate data collection.
  • Collaboration:

    Work with Sales/Product/Data/Finance on promos, pricing tests, attribution alignment, and forecasting.
Qualifications
  • 3–6 years in performance marketing with

    hands-on

    platform management (no “only-agency oversight”).
  • Deep experience with

    Google Ads, Meta Ads

    ; working knowledge of TikTok, LinkedIn, and at least one of DV360/Display networks.
  • Strong analytics: GA4, GTM (including server-side preferred), Looker/Tableau/Power BI; Excel/Sheets (pivots, lookups); basic SQL a plus.
  • Familiarity with feeds (GMC, Feedonomics), pixels/SDKs, CAPI, offline conversions, and attribution models (last-click vs data-driven/MMM basics).
  • Clear, concise communicator; comfortable owning targets and presenting to leadership.
KPIs
  • Efficiency:

    CAC / CPA, ROAS, LTV:CAC, payback period.
  • Scale & quality:

    Spend to plan, incremental revenue/leads, pipeline (for B2B), qualified rate.
  • Conversion:

    CTR, CVR, AOV, bounce rate, landing-page conversion uplift.
  • Testing cadence:

    # tests/month, win rate, impact documented.
  • Data quality:

    Tracking uptime, attribution accuracy, consented traffic share.
Tools you’ll use
  • Google Ads, Bing, Meta, TikTok, LinkedIn, DV360; GA4, GTM (server/client), AppsFlyer/Adjust (if app), Looker/Tableau/Power BI; VWO/Optimizely, Hotjar/Clarity; Feedonomics/Channable; CRM/ESP (HubSpot/Klaviyo/Salesforce).

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