Олександр

Oleksandr Bunin
Meta Ads Media Buyer
Kyiv
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Summary
Performance-driven Media Buyer with 2+ years of hands-on experience managing paid acquisition across
Meta Ads, TikTok Ads, and Google Ads — across diverse verticals including aesthetics, e-commerce, events,
SaaS subscriptions, and local services. Proven track record managing budgets from $400/month to $55,900+
per engagement, consistently delivering measurable ROI anchored to business economics (LTV, CAC,
ROAS) rather than surface-level metrics.
Unique technical background as a Senior Full-Stack Engineer (8+ years) enables full end-to-end ownership:
building landing pages and full-scale web products from scratch (Next.js, Horoshop, Shopify, headless
commerce, CRM/ERP integrations), configuring tracking infrastructure (Meta Pixel, Conversion API, GTM,
GA4), debugging attribution pipelines, and designing automated BI dashboards — without relying on external
developers.
Experienced in full-funnel strategy, audience architecture, creative testing, multi-platform attribution design,
and campaign operations at scale. Comfortable owning campaigns end-to-end from strategy and setup
through optimization, reporting, and iteration.

Key Achievements
› Generated 19,270 leads and 1,289 paid subscribers across Africa & Asia on $55,900 total spend,
achieving LTV:CAC ratio of 1.55:1
› Delivered 680 leads at $13.73 avg CPL for a Canadian Med SPA clinic over 4 months on $7,500 budget
› Achieved ROAS 6x for a Ukrainian event ticketing platform — UAH 1,686,328 in revenue, 3,600+ tickets
sold over 12 months
› Designed and resolved a complex multi-platform attribution problem where Meta, TikTok, and GA4
reported conflicting numbers — rebuilt measurement framework from scratch
› Managed 7–12 simultaneous event campaigns across different Ukrainian cities without cross-event
audience or budget overlap
› Built a family driving school's full marketing and technical stack from scratch — landing page (Next.js),
tracking infrastructure, and Meta Ads — achieving ~9.8x ROAS and 20–25% lead-to-enrollment rate
› Managed Meta Ads budgets of $50K+/month and built automated BI pipelines saving 20+ hours/week of
manual reporting
› Implemented Meta Ads Conversion API (server-side tracking) across multiple clients for attribution
accuracy independent of browser-side signal loss
› Built and deployed websites of any complexity — from local business landing pages to full-scale
e-commerce platforms, headless storefronts, Horoshop deployments, Shopify stores, and CRM/ERP
integrations

Media Buying Experience

UABand — Media Buyer (Meta Ads / TikTok Ads / Google Ads)
Mar 2025 – Jan 2026
Full-service digital marketing agency. Managed paid acquisition independently across multiple client verticals
simultaneously — owning strategy, setup, optimization, reporting, and creative direction for each account.
Case 1: Med SPA Clinic — Canada
Budget: $2,500/month
Platform: Meta Ads
Objective: Lead Generation
Period: Sep – Dec 2025
Med SPA clinic in a highly competitive Canadian aesthetics market, running campaigns across Facials, Botox,
Q-Switch Carbon Peel, PRP, BioRevitalization, Body Contouring, Fat Dissolving, and Dermal Fillers.
Responsibilities:

› Built full-funnel campaign strategy (awareness -> retargeting -> retention)
› Conducted competitor research via Meta Ad Library to identify creative and offer gaps
› Built audience segmentation: custom audiences, lookalikes, interest stacking
› Managed seasonal promotional calendar aligned to procedures and local holidays; launched Black
Friday & Cyber Monday campaign
› Consolidated 5 siloed campaigns into a single CBO structure to enable automatic budget reallocation to
top performers
› Replaced percentage discounts with fixed dollar pricing for underperforming ad sets
› Wrote ad copy and creative briefs; ran A/B tests (static vs. video, hooks, CTAs) — static consistently
outperformed video, shifted budget accordingly
› Paused underperforming ad sets within 1–2 days and reallocated budget; rotated creatives to prevent
audience fatigue
› Configured Meta Pixel events and conversion attribution; updated lead forms in Meta Lead Center to
unlock higher-level conversion optimization
› Tested lowest cost vs. cost cap bid strategies to balance lead volume and CPL

Results:

› 680 leads generated on ~$7,500 total budget
› Average CPL $13.73 (competitive for Canadian aesthetics market)
› Best campaign: Facial at $6.99 CPL with 319 leads — 47% of all leads on 29% of budget
› 88 converted leads at 13.4% conversion rate in Sep–Dec 2025, up +95.9%
› Average CTR ~1% across campaigns

Case 2: Event Ticketing Platform — Ukraine
Budget: ~$300–500/event
Platform: Meta Ads
Objective: Purchase conversions
Period: Mar 2025 – Jan 2026
Event ticketing platform operating across 10+ Ukrainian cities, with 7–12 concurrent events running at any
given time — each with independent targeting, budget, and creative strategy — sustained through
war-related market volatility.
Responsibilities:

› Managed 7–12 simultaneous event campaigns across different Ukrainian cities with independent
targeting, budget, and creative strategy per event
› Built segmented campaign structure targeting users by region, age, gender, device, and Messenger
activity per event location
› Implemented multi-layer audience strategy: site/post retargeting + interest targeting + lookalike
audiences
› Updated ad copy dynamically based on ticket availability ("Last tickets remaining") to drive urgency
 › Allocated per-event budgets dynamically based on city demand, event scale, and remaining ticket
inventory
› Tested static vs. video creatives — video outperformed, reallocated budget accordingly
› Adapted existing creative assets when new materials were delayed to maintain pre-event campaign
performance

Results:

› UAH 1,686,328 total revenue generated via Meta Ads over 12 months
› ROAS 6x weighted average across all campaigns
› UAH 140,527 average monthly revenue across all active event campaigns
› 3,600+ tickets sold over 12 months
› Average CTR 1.5% (strong for events vertical in UA market)
› Maintained stable performance despite war-related market volatility

Case 3: Premium Grill Manufacturer — Ukraine
Budget: $430/month
Platform: Meta Ads
Objectives: Brand awareness, web traffic, reach & engagement, direct messages
Period: Mar 2025 – Feb 2026
Private manufacturer of premium loft-style grills and accessories (product price: $2,000+). Co-owned the paid
and content strategy alongside the SMM manager, aligning organic content with paid promotion for a
high-ticket, non-impulse product.
Responsibilities:

› Aligned paid campaigns with the organic content calendar; fed paid performance data back to refine
future content direction
› Developed communication strategy highlighting exclusive design, durable materials, and lifestyle appeal
to justify the $2,000+ price point
› Wrote ad copy and creative briefs; ran A/B tests (static vs. video, hooks, CTAs) — static consistently
outperformed video, shifted budget accordingly
› Generated AI-assisted creatives when client-supplied materials were unavailable
› Built audience segmentation: custom audiences, lookalikes, interest stacking

Results:

› 20+ direct message leads/month on $430 budget
› CPL ~$21.5 (strong efficiency for a $2,000+ high-ticket product)
› Average CTR 1.7%
› Stable brand presence maintained over 24-month partnership

Case 4: Window Manufacturing & Installation — Ukraine
Budget: $420/month
Platform: Meta Ads
Objectives: Lead generation (messages), engagement, web traffic
Period: Mar 2025 – Jan 2026
Private window manufacturer and installer covering full production and installation across Ukraine. Co-owned
the paid and organic strategy alongside the SMM manager.
Responsibilities:

› Aligned paid campaigns with organic content; used paid performance data to inform content direction
 › Co-developed giveaways and seasonal promotions end-to-end: concept, mechanic, paid amplification,
and post-campaign analysis
› Conducted competitor research via Meta Ad Library to identify creative and offer gaps
› Built audience segmentation: custom audiences, lookalikes, interest stacking
› Wrote ad copy and creative briefs; ran A/B tests (static vs. video, hooks, CTAs) — static consistently
outperformed video, shifted budget accordingly
› Generated AI-assisted creatives when client-supplied materials were unavailable

Results:

› 61 leads/month (messages) on $420 budget
› CPM $1.16 (highly efficient for Ukrainian market)
› Average CTR 1.5%
› Post engagement during promotional campaign: 1,329 interactions
› Stable campaign performance maintained throughout partnership

Case 5: Family Driving School — Ukraine
Budget: $20/day (~$600/month)
Platforms: Meta Ads + Google Ads
Objective: Lead generation -> course enrollments
Period: 6+ months (ongoing)
Family-owned driving school in the Chernihiv region. Unique dual role as both business stakeholder and full
operator — built the entire marketing and technical stack from scratch including the landing page, full tracking
infrastructure, and all paid campaigns.
Responsibilities:

› Built the school's landing page from scratch using Next.js, deployed on Vercel — handled frontend,
backend logic, and deployment independently
› Configured Meta Pixel on the custom-built site: set up standard and custom events to track lead form
submissions and downstream conversion signals
› Structured campaign optimization in two phases: optimized for Qualified Leads initially to gather signal
data, then shifted to Lead Conversions once the pixel had sufficient learning data
› Built and managed retargeting campaigns for site visitors and ad engagers who did not convert
› Aligned organic content with paid campaigns in collaboration with the SMM manager
› Managed audience frequency to prevent ad fatigue across a geographically limited local audience

Results:

› 181 leads generated on ~$600/month budget
› ROAS ~9.8x on ad spend
› $5,882.50 per course in tracked purchases attributed to Meta Ads
› Lead-to-enrollment conversion rate: ~20–25%
› Average CTR: 1.71%

Case 6: Comics Marketplace — Ukraine
Budget: ~$600/month total
Platforms: Meta Ads + TikTok Ads
Objective: User acquisition via registrations and qualified engagement
Period: Jun 2024 – Mar 2025
Niche Ukrainian comics marketplace with a complex attribution environment: purchases typically occurred
6–7 days after the first ad click, routed through organic/branded search before converting. Standard
attribution was fundamentally broken — requiring a full measurement redesign before any campaign
optimization could be trusted.
Attribution Problem:

› Standard last-click attribution (GA4 default) credited SEO for purchases that originated from paid ads —
creating a false signal that would have led to cutting ad budget entirely
› Meta and TikTok dashboards both claimed the same sales due to overlapping 7-day click windows,
making platform-level ROAS figures untrustworthy
› Identified a ~6–7 day consideration cycle where Meta/TikTok introduced the user and branded organic
search closed the sale — confirming first-touch attribution as the correct model for budget decisions

Responsibilities:

› Rebuilt the measurement framework: shifted optimization target to Lead (registration) and GA4-defined
engagement (10+ second session) as reliable purchase-intent proxies instead of optimizing for Purchase
conversions directly
› Configured GA4 custom events: defined "engaged user" as a 10+ second session and set it up as a
conversion signal alongside registration events
› Ran paid campaigns simultaneously on Meta Ads and TikTok Ads; allocated budget across platforms
based on first-touch attribution data
› Implemented UTM tagging across all ads to prevent GA4 misattribution
› Built audience segmentation: interest stacking, lookalike audiences based on registered users,
retargeting of engaged non-converters
› Monitored cross-platform frequency and audience overlap to avoid duplication between Meta and TikTok
audiences

Results:

› Stable acquisition flow maintained on ~$600/month combined budget across two platforms
› Attribution framework correctly identified Meta and TikTok as top-of-funnel drivers and SEO as the
closing channel — enabling accurate budget allocation
› Proxy conversion metrics resolved the unreliable purchase tracking problem entirely
› Average LTV of acquired users: ~$19

Case 7: Digital Subscription Service — Africa & Asia
Budget: $55,900 total
Platform: Meta Ads
Objective: Paid subscriber acquisition
Period: Dec 2025 – Jan 2026
Digital subscription service ($20 first purchase, $28/month recurring, ~$60 avg LTV) across two dedicated ad
accounts scoped to separate geographies — Africa and Asia. Primary media buyer responsible for full-funnel
subscriber acquisition with all optimization anchored to LTV economics, not standalone conversion cost.
Responsibilities:

› Designed a two-stage acquisition funnel: upper-funnel lead generation (website registrations) feeding into
lower-funnel purchase conversion campaigns targeting warm audiences
› Set CAC targets derived from LTV economics ($60 avg LTV, 2–4 month payback window) as the primary
guardrail for bid strategy and budget allocation
› Managed audience architecture across cold prospecting (interest, lookalike, broad), warm retargeting
(registrations, video viewers), and exclusion layers to protect funnel integrity
› Selected ABO vs. CBO budget structure per account based on audience scale, campaign volume, and
optimization signal availability
 › Implemented Meta Ads Conversion API for server-side event tracking, ensuring accurate purchase and
registration attribution independent of browser-side signal loss
› Configured GTM containers and dataLayer events to push structured data to Meta Pixel and GA4

Results:

› 19,270 leads generated across both geos at as low as $1.10 CPR
› 1,289 paid subscribers acquired
› Best CAC: $38.59/subscriber against a $60 LTV target
› LTV:CAC ratio of 1.55:1 on most efficient account
› Estimated $77,000+ in subscriber revenue generated at average LTV
› Consistent profitable acquisition sustained across two distinct international markets

Web Development & Technical Capabilities
Full-stack web developer capable of building and deploying production-grade web products of any complexity
— independently, without reliance on external contractors.
What I build:

› Custom landing pages and multi-page marketing sites (Next.js, React, Tailwind CSS)
› Full e-commerce platforms with product catalog, checkout, and payment integration
› Headless storefronts using Next.js + Medusa.js commerce engine
› Horoshop platform deployments (Ukraine's leading hosted e-commerce platform)
› Shopify store setup, theme customization, and app integration
› CRM and ERP integrations (custom API connectors, webhook pipelines, data sync)
› Content-managed marketing sites using Strapi CMS and Sanity CMS
› SaaS platforms and internal dashboards with authentication, role management, and real-time data
› Full tracking infrastructure: Meta Pixel, Conversion API (CAPI), GTM, GA4, custom event pipelines

Why this matters for marketing:
Every site I build is configured for paid traffic from day one — pixel events, server-side tracking, UTM
structure, page speed optimization, and conversion-focused UX are built in, not bolted on afterward.

Software Engineering Experience

LeverX International LLC — Senior Software Engineer (Backend / Full-Stack)
Apr 2018 – Mar 2025
Enterprise software consultancy delivering large-scale systems primarily within the SAP ecosystem.
Core Responsibilities:

› Developed and maintained Java (Spring Boot) microservices: business logic, REST APIs, integration
layers, performance tuning, and production fixes
› Contributed to Node.js (TypeScript) services (Nest.js / Express.js) for BFF/API layers
› Implemented event-driven flows with Kafka across distributed systems
› Built real-time features via WebSockets; managed PostgreSQL and SAP HANA Cloud schema
migrations
› Supported Kubernetes-based deployments (Helm) and CI/CD pipelines (Bamboo, GitHub Actions)

Selected Projects:
FSM SAP — Field Service Management Platform (Apr 2021 – Jun 2024)
Large-scale multi-tenant platform managing task assignment and resource optimization across thousands of
technicians. Implemented complex tenant-aware domain logic, transactional event publishing with Kafka, and
real-time WebSocket updates. Technologies: Java 11/17, Spring Boot, Node.js, Kafka, PostgreSQL,
Kubernetes, SAP BTP.
SAP Deal Modeling Tool (DMT) — Senior Full-Stack Engineer
High-performance enterprise deal modeling application for Account Executives. Led React/TypeScript
frontend development, implemented real-time multi-user collaboration via WebSockets, and integrated with
SAP Harmony (CPQ) and multiple legacy SAP internal systems. Technologies: Java, Spring Boot, React,
TypeScript, SAP HANA Cloud, Redis, SAP Event Mesh.
Earlier Projects (2017–2021)
Multitenant Task Manager (Spring Security, ActiveMQ, MongoDB), Financial Applications Suite (Java 8,
PostgreSQL), Microsoft Visio to BPMN Converter (Camunda BPMN 2.0 API), Online Education Platform
(SAP Cloud Platform), JIRA Plugin Development (Atlassian Plugin SDK).

Personal Projects
Promtheon — Unified AI Workspace | promtheon.io
AI-powered SaaS platform aggregating 40+ LLM, image, and video models. Built AI agent workflows using
LangGraph, real-time streaming via SSE, multi-model routing, and full cloud infrastructure.
Technologies: Golang (Gin), Python (FastAPI, LangGraph), PostgreSQL, Redis, Docker, Cloudflare.
Papira — Subscription Media Platform | papira.net.ua
Subscription media platform with backend-first architecture. Sub-500ms page load times, 99.9% uptime,
SEO-first rendering.
Technologies: Golang (Gin), PostgreSQL, Nginx, Docker, Cloudflare.
Markdown CV Builder — ATS-First Resume Tool | cv-markdown-builder.usekit.site
Mobile-first, privacy-first Markdown CV builder focused on maximum ATS compatibility. Instant live preview
and client-side PDF export running fully in the browser — no sign-up, no uploads, no tracking, no stored data.
Enables production-ready CVs in under one minute from mobile devices.
Technologies: React, Next.js, TypeScript, client-side PDF generation.
ReviewCard — Ad Creative Tool for Performance Marketers | google-maps-review-card.usekit.site
Free web tool that generates pixel-perfect Google Maps review card creatives for paid ads. Built for
performance marketers running social campaigns who need high-trust social proof creatives without a
designer.
Key results: 3x higher CTR and 41% lower CPL reported by users across A/B tests.
Features: real-time preview, 4 export formats (1:1, 4:5, 9:16, card-only), 3x hi-res PNG export, background
themes, and transparent layer support.
Technologies: React, TypeScript, Node.js, HTML Canvas / DOM-to-image export, PNG rendering pipeline.
BI Analytics Pipeline — Multi-Platform Ad Data Integration Automated ETL pipeline extracting, transforming,
and loading data from Meta Ads API, TikTok Ads API, and Moloco Ads API into a centralized BI system.
Saved 20+ hours/week of manual reporting. 99.9% data accuracy with validation checks.
Technologies: Python (FastAPI), PostgreSQL, Redis, Docker.
Privacy-First Developer Tools Clean & Paste | JWT Decoder | 2FA / TOTP Generator
5K+ monthly organic visitors, 100/100 Lighthouse scores, top-10 Google rankings. Zero server-side data
collection.
Technologies: Next.js 14, React, TypeScript, Tailwind CSS, Vercel, Cloudflare.

Education
Bachelor of Science in Applied Mathematics Applied Cryptography & Information Security
Polytechnic Institute, Physical-Technical Institute
Languages
› English — Advanced (C1)
› Ukrainian — Native