Technical Performance Marketing & Growth Leader with 15+ years in mobile UA, MarTech automation, AI-driven workflows, SEO/AEO/GEO, and data systems. Managed $100K–$4M+ annual budgets across Meta, Google, and programmatic DSPs. Builds automated ETL pipelines and AI-enabled acquisition systems to scale growth.
Hypothesis-driven, incrementality-tested, and fully attributed. Every dollar accountable.
Multi-channel paid acquisition across Meta, Google Ads, Skyscanner, TripAdvisor, and programmatic DSPs operated with fragmented data pipelines and manual reporting. Creative production was slow, limiting scale.ooking margins against algorithmically-optimized competitors. Reporting latency of 24–48 hours meant budget decisions were always a day late.
Managed end-to-end multi-channel paid acquisition across Meta, Google Ads, Skyscanner, TripAdvisor, and programmatic DSPs with documented hypothesis-driven budget allocation., and bid strategy reallocation.
Architected automated ETL data pipelines via Funnel.io to consolidate multi-channel ad spend, eliminating reporting latency by 40%. Built full attribution with AppsFlyer + GA4 integrations.ation.
Improved profit margins by 14% via strategic optimization of pricing logic and real-time API travel inventory. Deployed automated workflows (n8n + API) to dynamically generate and tag high-performing creative variations., compounding gains on every booking.
Reduced CAC by 22% through structured A/B testing, programmatic bid optimization, and algorithmic funnel adjustments. Every budget shift tied to documented test results. ROAS targets under aggressive growth constraints.
| Metric | Result | Driver |
|---|---|---|
| Blended customer acquisition cost | -22% | Structured A/B testing, funnel optimization, bid strategy reallocation |
| Platform margin per booking | +14% | API-based dynamic pricing (Ratehawk, Hotelbeds, Amadeus) |
| Attribution reporting latency | -40% | AppsFlyer + Segment + GA4 full-stack integration |
| Cross-channel ROAS | Targets met | Hypothesis-driven budget shifts with documented decision logs |
Architected automated ETL pipelines via Funnel.io consolidated multi-channel data, cutting reporting latency by 40% while scaling acquisition — proving efficiency and growth aren’t trade-offs.
Automated workflows via n8n and API integrations dynamically generated and tagged high-performing creative variations at scale, turning daily budget decisions from reactive to proactive.
Strategic optimization of pricing logic and real-time API travel inventory improved profit margins by 14% — every dollar allocated against verified test results.
Paid media restricted by financial regulations — no scalable acquisition channel existed. Deep trust barriers in crowdfunding required organic AEO/GEO authority, lifecycle automation, and data-driven experimentation to achieve $100M revenue within 12 months.ation: communications were manual, segmentation lived in spreadsheets, funnel visibility was impossible. No experimentation framework — budget decisions relied on intuition.
Scaled user acquisition by 20x and investor activity by 10x through automated performance systems, accelerating organic growth to achieve $100M in revenue within 12 months. — keyword gap analysis, Core Web Vitals optimization, and programmatic content targeting long-tail investor queries. Scaled user acquisition by 20x in 36 months.
Pioneered organic AEO and GEO frameworks leveraging Semrush, securing high brand visibility across Perplexity, Gemini, and ChatGPT. Designed lifecycle automation (HubSpot + Segment) increasing LTV by 35%.. Published transparent ROI reports and verified success stories for dual-purpose SEO traffic and investor trust. Increased LTV by 35%.
Architected a real-time marketing analytics and ETL pipeline (n8n + SQL + Metabase + GA4) to track behavioral user cohorts. Implemented attribution-based budget reallocations improving efficiency by 18%. Introduced experimentation framework with hypothesis → test → result → decision logging structure.
Implemented data-driven, attribution-based budget reallocations across channels. Designed cross-channel lifecycle automation framework that increased LTV by 35% and drove 18% marketing efficiency gains. engagement — all measured through unified attribution and real-time dashboards.
Pioneered organic AEO and GEO frameworks leveraging Semrush, securing high brand visibility across Perplexity, Gemini, and ChatGPT — proving that AI search optimization is the new SEO frontier for regulated industries.
Automated performance systems scaled user acquisition 20x and investor activity 10x, achieving $100M revenue within 12 months. The real conversion barrier was information asymmetry, not awareness.
Real-time marketing analytics and ETL pipeline (n8n + SQL + Metabase + GA4) tracked behavioral cohorts and enabled data-driven budget reallocations, improving cross-channel marketing efficiency by 18%..
Manage $90K/week paid media budget across mobile app campaigns, programmatic DSPs, VK, and Yandex. Deliver net revenue growth through continuous conversion funnel optimization and CAC containment.d rings were inflating registration metrics, making true cost-per-verified-user invisible.
Managed $90K/week paid media budget across mobile app campaigns, programmatic DSPs, VK, and Yandex. Delivered 25% net revenue growth through continuous optimization of mobile conversion funnels. — users ordered standard, received supercars. The discovery moment was the campaign.
Executed a hyper-scaled user acquisition blitz, onboarding 200,000 active mobile app users within 72 hours. Real-time CAC containment and Yandex MMP tracking ensured budget discipline at scale. — zero paid media needed for the viral wave. Delivered 25% net revenue growth through continuous CAC and funnel optimization.
Collaborated with Data Science teams to build custom ad-fraud detection models, mitigating budget leakage by 14%. Marketing-aware ML detection was integrated before launch — not bolted on after.: channel-level fraud rates, creative correlation, referral chain depth, and registration velocity clustering.
Built structured reporting system using Yandex MMP for daily performance tracking and budget optimization. 4-hour reallocation cycles ensured every dollar was actively managed against ROI targets at scale. paid spend extended — not duplicated — organic reach. Generated 200K verified new users in 72 hours.
200,000 active mobile app users onboarded within 72 hours through hyper-scaled acquisition blitz — proving that high-budget mobile UA with real-time CAC containment and MMP tracking can deliver exponential growth..
25% net revenue growth through continuous optimization of mobile conversion funnels and CAC containment and daily structured reporting. Gut-based budget management doesn’t work at scale.
Custom ad-fraud detection models built with Data Science teams mitigated 14% budget leakage. Marketing-aware ML detection integrated before launch is critical at scale — fraud arrives at the same velocity as growth..
End-to-end growth ownership across mobile UA, MarTech automation, and data engineering — four countries, $100K–$4M+ budgets.
Technical stack deployed across real campaigns with real budgets — from mobile UA to AI automation and data pipelines.
Cross-disciplinary academic background with competitive machine learning recognition.
Based in Tbilisi, Georgia · +995 598 722 489
English (B2+/C1) · Russian (Fluent) · Persian (Native)