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Paid Media & Marketing Performance Analyst

Paid Media & Marketing Performance Analyst

AIWO LimitedChennai City Corporation, TN, in
4 days ago
Job type
  • Quick Apply
Job description

Job Description

Experience : 2–3 years (min. 2 years hands-on)

  • Location : Chennai
  • Function : Marketing Analytics, Attribution & Insights Ops

Role Purpose

Be the central nervous system for Marketing. Audit and connect data across all roles to quantify spend → activity → outcomes. Report ROI, CTR, CVR, brand visibility, assisted revenue, and pinpoint exactly what’s working (and what’s not). Ship clear daily / weekly / monthly / bimonthly / quarterly / half-yearly / annual reports and drive action with experiment roadmaps.

What You’ll Own

Full-Funnel Measurement & Attribution

  • Define source-of-truth metrics for paid, social, SEO, content, influencer / affiliate, email / WhatsApp, events / OOH, website.
  • Maintain channel + campaign taxonomy, UTMs, naming conventions, and data dictionary.
  • Own attribution views : last-click, position-based, time-decay + assisted conversions, and geo / holdout or incrementality tests.
  • Dashboards & Reporting (Cadence & Audience-Specific)

  • Daily : Health & spend pacing, tracking QA, anomalies, red flags.
  • Weekly : Channel scorecards (Spend, Impr, CTR, CPC, CVR, CPA / ROAS, AOV, LTV), top / worst creatives, search terms, placements.
  • Monthly : ROI / Profitability by channel / campaign / SKU, assisted paths, cohort / RFM, seasonality notes.
  • Bimonthly / Quarterly : Trendlines, test learnings, budget re-allocation, forecast vs. actuals.
  • Half-Yearly / Annual : Growth decomposition (traffic vs CVR vs AOV), brand visibility (SoV / organic + direct), MMM / MTA summary, roadmap.
  • Experimentation & Causality

  • Build a test backlog with hypotheses, impact sizing, and owners (roles 1–7).
  • Design A / B and lift tests (power, sig), geo splits for OOH & influencers; run pre-post for programmatic / CTV.
  • Data Quality & Tagging

  • Own GA4 / GTM event schema; pixels (Meta / Google / TTD / CM360), CAPI / server-side with Dev; deduping; consent mode.
  • Routine QA (Tag Assistant, Pixel Helper), funnel / event audits, broken link / 404 alerts.
  • Insights → Actions

  • Translate findings into clear actions : pause / scale, new audiences, creative briefs, feed fixes, offer strategy, LP / PDP CRO, bot / flow tweaks, vendor renegotiations.
  • Stakeholder Enablement

  • Run a weekly Insights Standup; maintain a Notion / Doc hub with dashboards, definitions, and playbooks.
  • Requirements

    Core Responsibilities by Channel / Role

  • (Commerce & Media Buying) : ROAS / TACOS, feed approval %, CTR / VCR / viewability, SPO quality, PMP efficiency, Buy Box %.
  • (Design / Shopify UX) : LP / PDP CVR & ATC, scroll depth, click-map, Core Web Vitals correlation with CVR.
  • (Video) : Thumb-stop, WTR, CPV / CPCV, hook retention curves; video vs static CPA delta.
  • (Copy / Content) : CTR, LP time on page, headline / offer test win-rate, SEO impressions / clicks & local performance.
  • (Full-Stack Dev) : Tracking accuracy, event fire rates, CAPI match, page speed vs CVR.
  • (Email / WhatsApp) : Flow revenue %, campaign revenue, opt-in / opt-out, reply rate, repeat rate, LTV, churn; bot-assisted orders.
  • (Influencer / Offline) : Creator / affiliate revenue, CAC / CPA, attribution integrity (UTM / code), event footfall→lead→booking conversion; OOH PoP compliance.
  • Tool Stack (you should already use most)

  • Analytics & BI : GA4, Looker Studio, Data / BI connectors (Supermetrics / Composer), BigQuery (nice), Sheets / Excel (QUERY, PIVOT, REGEX).
  • Tagging & Tracking : GTM, Google Ads tags, Meta Pixel + CAPI, CM360 Floodlights, DV360, TikTok / LinkedIn pixels.
  • Ad Platforms : Google Ads, Meta, YouTube, DV360 / TTD, Amazon / Flipkart Ads.
  • E-com & CRM : Shopify analytics, Zoho CRM / Campaigns / Flows; WhatsApp BSP stats.
  • Qual & UX : Hotjar / Clarity, Survey / NPS tools.
  • ETL (nice) : Airbyte / Stitch, Apps Script; SQL / Python for ad-hoc analysis.
  • Offline / Influencer : Aspire / Modash / Grin metrics, Refersion / Impact / Affiliate dashboards; OOH PoP geo-photo tools.
  • Certifications (Preferred)

  • GA4 Certification
  • Google Ads Measurement & Campaign Manager 360 basics
  • Meta Media Planning / Buying
  • SQL / BigQuery or Data Analytics cert (nice), CXL Experimentation (nice)
  • Must-Have “2+ Years Hands-On” (Hard Screen)

  • Building multi-channel dashboards (GA4 + ad platforms) and shipping actionable weekly insights that improved ROAS / CAC.
  • Implementing / QA-ing GTM / GA4 / CAPI with proven fixes to broken tracking.
  • Designing and reading A / B or lift tests; writing clear recommendations that teams shipped.
  • Producing offline & influencer attribution with UTMs / codes and post-event conversion views.
  • Creating taxonomy + data dictionary and enforcing UTM hygiene across teams.
  • KPIs (You Own)

  • Tracking Accuracy (% correct event fires, CAPI match rate, zero-data-loss uptime)
  • Speed to Insight (time from data→decision), Experiment Win Rate
  • Revenue Efficiency : ROAS, CAC, MER, assisted conversions
  • Retention / LTV : repeat rate, time-to-second purchase, LTV / CAC
  • Creative & Content Impact : CTR, WTR, CVR changes attributed to new assets
  • Offline / Influencer : cost per footfall / lead, bookings & revenue attributed, PoP compliance %
  • Report Cadence SLA : on-time daily / weekly / monthly…annual packs with exec summaries
  • Deliverables (Templates You’ll Maintain)

  • Daily Health Dashboard (pacing, anomalies, tracking)
  • Weekly Channel Scorecards (role-wise insights + actions)
  • Monthly ROI Pack (profitability by channel / SKU / campaign, assisted paths)
  • Quarterly Growth Review (decomposition, budget shifts, roadmap)
  • Influencer / OOH Event Reports (PoP, footfall→revenue funnel)
  • Data Governance Kit (taxonomy, UTMs, data dictionary, QA checklist)
  • Experiment Log (hypothesis, design, results, decision)
  • Requirements

    Tool Stack (you should already use most) Analytics & BI : GA4, Looker Studio, Data / BI connectors (Supermetrics / Composer), BigQuery (nice), Sheets / Excel (QUERY, PIVOT, REGEX). Tagging & Tracking : GTM, Google Ads tags, Meta Pixel + CAPI, CM360 Floodlights, DV360, TikTok / LinkedIn pixels. Ad Platforms : Google Ads, Meta, YouTube, DV360 / TTD, Amazon / Flipkart Ads. E-com & CRM : Shopify analytics, Zoho CRM / Campaigns / Flows; WhatsApp BSP stats. Qual & UX : Hotjar / Clarity, Survey / NPS tools. ETL (nice) : Airbyte / Stitch, Apps Script; SQL / Python for ad-hoc analysis. Offline / Influencer : Aspire / Modash / Grin metrics, Refersion / Impact / Affiliate dashboards; OOH PoP geo-photo tools.

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