Precious Akpabio
GTM Engineer & Revenue Operations
Building Revenue Systems That Scale Your Go-to-Market
I architect the automation, data pipelines, and workflows that turn go-to-market strategy into predictable revenue growth.
AI workflows & automation
HubSpot, Emarsys, n8n
Pipeline & attribution
GA4, BigQuery, Looker
Core Competencies
My expertise lies at the intersection of technical implementation and strategic operations. I don't just use the tools; I architect the systems that make them work together.
Tech Stack
Key Capabilities
- AI-powered workflow automation
- CRM data enrichment & validation
- Automated outbound & lead routing
- Cross-functional system architecture
- Revenue-driving automation at scale
Tech Stack
Key Capabilities
- Lifecycle automation (welcome, nurture, win-back)
- Lead scoring & segmentation models
- CRM data modeling & hygiene
- Email personalization & dynamic content
- Consent & preference management (GDPR)
Tech Stack
Key Capabilities
- Funnel architecture (Traffic → MQL → SQL → Revenue)
- Multi-touch attribution concepts
- Sales & Marketing alignment (SLA definition)
- KPI frameworks (CAC, LTV, Conversion Rates)
- Pipeline & revenue reporting logic
Tech Stack
Key Capabilities
- GA4 advanced event & funnel tracking
- GTM (Client-side & Server-side)
- BigQuery (Raw → Mart → Reporting layers)
- Dashboard design & visualization
- Data governance & KPI definitions
Tech Stack
Key Capabilities
- CDP architecture (Segment-like setups)
- Server-side tracking & privacy-first analytics
- Marketing data warehousing strategies
- Consent Mode v2 implementation logic
- Data activation (Analytics → CRM → Ads)
AI & Intelligent Automation
Leveraging AI to scale marketing operations and decision-making
Agent Workflow Design
Architecting AI-powered workflows for lead qualification, content personalization, and predictive analytics
Prompt Engineering
Developing structured prompts for marketing use cases: email generation, audience segmentation, and reporting
AI-Assisted Analytics
Using machine learning tools to identify anomalies, forecast trends, and automate insight generation
AI Tech Stack
Selected Projects
A collection of technical implementations demonstrating my ability to solve business problems with data and automation.
End-to-End Marketing Funnel & Revenue Dashboard
Fragmented data across GA4 and Shopify made it impossible to see true drop-off points or attribute revenue correctly.
Implemented GA4 raw data export to BigQuery, modeled data into a reporting mart, and visualized in Looker Studio.
- ✓ Unified view of Sessions → Add to Cart → Checkout → Purchase
- ✓ Identified 15% drop-off at shipping step, leading to UX fix
- ✓ Automated weekly revenue reporting saving 5 hours/week
CRM Lifecycle Automation Architecture
Generic 'batch and blast' emails were resulting in high churn and low engagement (12% Open Rate).
Segmented audience based on RFM analysis and built triggered flows for Abandoned Cart, Welcome Series, and Win-back.
- ✓ 35% increase in Open Rate via personalization
- ✓ 22% recovery rate on abandoned carts
- ✓ Generated $50k incremental revenue in Q1
Server-Side Tracking & Privacy-First Setup
Ad blockers and ITP were causing 20-30% signal loss in conversion data.
Deployed GTM Server-Side container on GCP Cloud Run with custom domain and Consent Mode v2 logic.
- ✓ Restored ~15% of lost conversion data
- ✓ Fully GDPR/CCPA compliant architecture
- ✓ Improved site speed by offloading client-side scripts
Pharma Sales Intelligence & Demand Forecasting
Raw CSV exports with no automated analysis — 12+ hours/week of manual reporting, frequent stockouts during peak demand.
Designed a Python ETL pipeline and React dashboard with filterable KPIs, time-series analysis, seasonality detection, and hourly heatmaps.
- ✓ 12 hrs/week saved in automated reporting
- ✓ 35% reduction in stockouts via seasonal forecasting
- ✓ $120K annual savings from inventory optimization
eCommerce Merchandise Analysis System
Merchandising team lacked visibility into which products had high views but low conversion.
Created a 'Product Performance Matrix' dashboard correlating view content_ids with purchase events.
- ✓ Identified underperforming hero products
- ✓ Optimized cross-sell recommendations
- ✓ Data-driven inventory planning for seasonal sales
Professional Experience
A track record of driving operational efficiency and data maturity in global organizations.
Digital Marketing Data Analyst
Leading data collection, cleaning, and analysis across digital channels. Building dashboards and driving adoption of analytics tools.
- ●Established data collection processes across all digital marketing channels
- ●Configured server-side Tag Management and ensured GDPR compliance
- ●Built interactive dashboards for Marketing, Ecommerce, and Product teams
Web Project Team (E-Commerce & Digital Projects)
Focused on analytics architecture, tracking integration, and conversion rate optimization (CRO).
- ●Optimized BigQuery environments and built scalable datamarts
- ●Led CRO experiments to improve conversion across the web ecosystem
- ●Partnered with SEO stakeholders to track performance and inform strategy
Sales and Marketing Operations
maintained and expanded sales and marketing operational processes to maximize lead generation efficiency.
- ●Created management reports to track KPI progress
- ●Optimized workflows for generating qualified leads and revenue
Sales and Marketing Operations Analyst
Streamlined operations between sales tools and HubSpot CRM. Developed ABM strategies and automated reporting.
- ●Achieved 90% accuracy in revenue forecasts via new system implementation
- ●Improved sales team efficiency and pipeline performance by 30%
- ●Generated 30% increase in qualified leads from outbound campaigns
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Latest Insights
Thoughts on GTM Engineering, Revenue Operations, and building systems that scale.
Let's Connect
I'm currently open to opportunities in Marketing Automation, CRM, RevOps, and Analytics. Based in Bern, Switzerland, but available for remote work globally.
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Response Time
I typically respond within 24-48 hours. For urgent inquiries, please mention "URGENT" in the subject line.