This training is designed for performance marketers, agency professionals, e-commerce managers, growth marketers, and digital marketing leaders who want to professionally manage the new era in which performance marketing has evolved throughout 2023-2025 from manual campaign management to AI-driven campaign typologies. At the heart of the program is the following approach: performance marketing is no longer the discipline of 'tuning ad sets one by one.' Real value comes from providing the right signals to AI-managed campaign engines (Meta Advantage+, Google Performance Max), establishing a first-party data strategy in the privacy-first era, producing high-volume creative with AI, ensuring reliable measurement with server-side tracking and the Conversions API, measuring the real contribution with MMM and incrementality testing, and operating this entire system with automation layers. For this reason, the training addresses Meta and Google's AI ecosystems, smart bidding, creative production, audience strategy, tracking infrastructure, measurement discipline, and reporting automation within an integrated performance marketing engineering framework.
The performance marketing training ecosystem in Turkey has expanded rapidly in recent years — Acun Medya Akademi, RADAAR, İBB Enstitü, university SEMs, and digital agency bootcamps all offer comprehensive programs. However, the majority of existing programs still work with a 'classic campaign management' approach and leave the following critical topics out of scope: the impact of Meta's Andromeda ad-ranking system on campaign decisions, Google Performance Max asset-group and audience-signal strategy, AI-powered Smart Bidding selection discipline, high-volume creative production with Midjourney/Sora/Veo, CDP integration in the privacy-first era, reliable measurement with server-side GTM and the Meta Conversions API, Marketing Mix Modeling (MMM) and incrementality testing, integration with the Trendyol/Hepsiburada/Amazon TR marketplace ad ecosystem, and reporting automation with n8n/Make.com. This training is designed to fill that gap as Turkey's most comprehensive AI-driven performance marketing reference program.
One of the program's strengths is its head-to-head comparative treatment of Meta's and Google's AI campaign engines. On the Meta side, Advantage+ Shopping Campaigns (ASC+), Advantage+ Audience, Advantage+ Creative, and Meta's Andromeda ad-ranking system introduced in 2024; on the Google side, Performance Max (PMax), Demand Gen, AI Max for Search, and Asset Studio are addressed in detail. Within both ecosystems, the right campaign-type selection, asset-group and audience-signal strategy, learning-period management, brand-exclusion and negative-keyword discipline, and the alignment between bidding strategy and campaign objective are shown through hands-on exercises. Which approach is stronger in which scenario across ecosystems is clarified through real case studies.
A critical component of the training is dedicated to high-volume AI-driven ad creative production. In 2026, as ad ecosystems (Advantage+ and PMax) operate with AI ad ranking, the volume of creative variation has become the primary determinant of success. This training covers end to end: brand-aligned image generation with Midjourney v7, Google Ads native asset generation with Imagen 3, ad typography with Ideogram, text-to-video generation with Sora, Veo 3, and Runway Gen-3, avatar video ads with HeyGen and Synthesia, voiceover production with ElevenLabs Turkish voices, and the atomic-content-factory methodology that produces 100+ weekly variations. Additionally, high-conversion ad-copy writing with ChatGPT, Claude, and Gemini; applying PAS / AIDA / FAB conversion frameworks with AI; and building a systematic A/B-test pipeline are covered comprehensively.
The privacy-first era — iOS 14+ ATT, GDPR, KVKK, and Google's third-party cookie deprecation process — has fundamentally changed the performance marketer's world. This training addresses in detail the central role of first-party data and CDP integration in this landscape. Comparisons of platforms like Segment, mParticle, RudderStack, and Klaviyo CDP; server-side tracking and Conversions API setup; audience expansion with Google Enhanced Conversions and Customer Match; KVKK-compliant cookie-consent management; and lookalike modeling and segment-based targeting are addressed hands-on. For server-side GTM setup, GCP, Stape, and custom options are compared; full effectiveness of the Meta Conversions API is achieved through event match quality optimization.
The conversion-tracking and attribution module imparts the discipline of 'measuring real contribution correctly' in performance marketing. GA4 enhanced ecommerce setup, cross-domain and cross-device measurement, reliable tracking with server-side GTM, the Meta Conversions API and deduplication logic, Google Ads data-driven attribution (DDA), and multi-touch attribution analysis are covered in detail. The limits of attribution are also addressed openly: relying on attribution usually overcredits Meta and Google; MMM and incrementality testing come in to see the real incremental contribution.
Perhaps one of the most advanced modules of the training is dedicated to Marketing Mix Modeling (MMM) and incrementality testing. MMM surfaces channel mix, saturation, halo effects, and baselines that attribution does not see. This training covers hands-on Meta Robyn and Google Meridian open-source MMM tools; incrementality testing with Meta Lift and Google Ads Conversion Lift; and the design of geo-holdout and A/B tests. The predictive-analytics module addresses predictive LTV modeling, churn prediction, and win-back campaign triggering. This discipline ensures that campaign budgets are allocated not just by 'attribution' but by real incremental contribution.
The Turkey-specific module is dedicated to the local e-commerce marketplace advertising ecosystem. Trendyol Ad Management Platform (TRPM), Sponsored Product, Showcase, and Smart Campaign configuration; Hepsiburada Hepsiad sponsored product and display ads; n11 and Çiçeksepeti advertising tools; and Amazon TR Sponsored Products, Brands, and Display campaigns are addressed in detail. How to manage simultaneous growth on the marketplace and own site through a marketplace + own-site + Meta/Google hybrid budget-allocation strategy is shown through real Turkish case studies. AI-powered Trendyol product descriptions, cover image generation, and listing optimization are also part of this module.
The reporting and automation module matures the performance marketer's operational discipline. Looker Studio cross-channel dashboard design; data pipelines with Supermetrics, Funnel.io, and Fivetran; KPI frameworks including CAC, ROAS, LTV, MER (Marketing Efficiency Ratio), and blended CAC; anomaly detection and forecasting with AI insights; and daily report generation, Slack/Teams notifications, AI-driven creative refresh, and fatigue-alert automation with n8n and Make.com are covered end to end. The marketer's weekly manual reporting load is reduced by 80% while decision-making speed is increased dramatically.
In the capstone project, each participant designs an end-to-end AI-driven performance marketing stack for their own company or clients: current campaign-stack audit, integration of data → audience → bidding → creative → tracking → measurement, Advantage+ and PMax combination strategy, first-party data and CDP plan, server-side tracking setup, MMM and incrementality-test calendar, and a 90-day roadmap. By the end of the training, participants reach the technical and strategic competence to professionally manage AI-driven campaign engines, establish first-party data strategies in the privacy-first era, produce 100+ weekly creative variations with AI, ensure reliable measurement with server-side tracking and the Conversions API, measure real contribution with MMM and incrementality testing, effectively use Turkey's marketplace ad ecosystem, and maximize operational efficiency with reporting automation. The training consists of 3 days, 12 modules, and over 80 hands-on lessons.