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Performance Marketer
2 months ago
Performance Marketer
with deep expertise in data-driven digital campaigns, proficient in optimizing across multiple channels (PPC, social, display, affiliate) and leveraging granular KPIs, advanced attribution models, and bid management strategies. You will be responsible for delivering measurable ROI through scaling, optimizing, and refining campaigns using sophisticated performance tracking and automation tools.
Key Responsibilities :End-to-End Campaign Management : Create, execute, and optimize performance marketing campaigns across platforms like
Google Ads ,
Facebook Ads ,
,
Bing , and
native platforms .Data-Driven Insights : Analyze
data points , interpret
multi-touch attribution models (MTA) , and implement
incremental tests
to optimize
CPA, ROAS, and LTV/CAC ratios .Advanced Bid Management : Implement automated
bid strategies
using rule-based algorithms and
tCPA ,
ROAS , and
Maximize Conversion
bidding, with deep expertise in
Google's Value-based Bidding .Funnel Optimization : Optimize
top-of-funnel (TOF)
and
bottom-of-funnel (BOF)
campaigns, improving
CTR, CVR, and AOV , while reducing bounce rates and abandonment metrics across all touchpoints.Cohort & Segmentation Analysis : Leverage
RFM analysis (Recency, Frequency, Monetary)
to segment audiences and increase campaign precision using
affinity data ,
in-market segments , and
lookalike modeling .A/B & Multivariate Testing : Drive
statistical significance testing
with split testing and implement
Bayesian analysis
or
Frequentist hypothesis testing
to continuously optimize ad copy, creative, and landing pages.Attribution Mastery : Use
last-click ,
data-driven ,
linear , and
U-shaped attribution models
to properly allocate budget and optimize for revenue-driving campaigns.Deep Analytics & Reporting : Expert use of
Google Analytics (GA4) ,
Hotjar ,
Heap , and
Looker
to monitor key performance metrics and create automated reports and dashboards to monitor campaign health and efficacy.Advanced Forecasting : Predict campaign outcomes through
predictive modeling
and
regression analysis , using historical data and machine learning models (if applicable) to drive
growth KPIs .Conversion Rate Optimization (CRO) : Employ
Funnel Visualization (Google Analytics)
and
session replay
to analyze
user behavior
and improve
conversion paths .
Qualifications :4+ years of experience in
performance marketing , specifically handling budgets
>$100,000
per month.Expert in tools like
Google Ads Editor ,
FB Business Manager ,
Smartly.io , and
Kenshoo .Proficient in
SQL
for ad hoc queries,
Excel/Google Sheets
for advanced data analysis ( INDEX/MATCH ,
ARRAYFORMULA ,
VLOOKUP ,
SUMIF , and
Pivot Tables ).Deep knowledge of
tracking pixels ,
UTM parameters ,
first-party data , and
cookie-less tracking
for effective campaign tracking and remarketing.Strong grasp of LTV, ROAS, and CAC : Understanding the formulae that drive growth:LTV
=
(ARPU x Gross Margin % x Average Customer Lifespan)
/
Churn RateROAS
=
(Revenue from Ad Spend) / Cost of Ad SpendCAC
=
Total Cost of Acquiring Customers
/
Total Customers AcquiredExperience with Tag Management : Must know
Google Tag Manager (GTM)
inside out to manage event tracking and trigger-based conversion actions.Ability to
automate reporting
and build custom
dashboards
in platforms like
Google Data Studio
and
PowerBI .
Bonus Skills :Experience with
Python
or
R
for automating data processes or predictive modeling.Advanced
knowledge of first-party data strategies
and
post-iOS 14.5
retargeting solutions.