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tripledotstudios

Senior Ad Monetisation Analyst

The Senior Ad Monetisation Analyst will be crucial in maximizing the ad revenue potential across our diverse mobile platforms. This role requires a keen quantitative mind to analyze complex performance data from various ad networks and SSPs. You will develop sophisticated models to predict yield gaps, recommending strategic adjustments to ad placements, inventory pricing, and ad format mix. Key responsibilities include deep-dive analysis of conversion rates (CVR), CPM trends, and Lifetime Value (LTV) per impression source. Candidates must be highly proficient in SQL for data extraction, Python/R for modeling, and possess a solid understanding of digital advertising ecosystems (AdMob, mediation platforms). Experience optimizing ad tech stacks within large-scale mobile gaming or content platforms is highly desirable.

tripledotstudios Barcelona, Spain

(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)

Preparing

1500

Question set

220

Duration

Permanent

Focus areas

Ad MonetizationAnalyticsRevenue OptimizationSQL/Python

People Also Ask (FAQs)

What is the last date to apply for Senior Ad Monetisation Analyst?

The closing date is listed in the official advertisement — apply as early as possible.

How do I apply for Senior Ad Monetisation Analyst?

Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.

Is there negative marking in the tripledotstudios test?

The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.

What is the passing marks for this test?

The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.

How can I prepare for the Senior Ad Monetisation Analyst test?

Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: Ad Monetization, Analytics, Revenue Optimization, SQL/Python.

Quick start

Review the job summary, then jump into prep with the same flow used for exam starts.

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