I run SEO programs covering keyword research, on-page optimization, link building, and crawl resolution, driving organic traffic lifts of up to 70%. I've extended that into Generative Engine Optimization, structuring content to get cited inside AI Overviews and ChatGPT rather than just ranking on a results page.

I build and manage paid search and paid social campaigns across Google Ads, Bing Ads, Meta, and LinkedIn, handling monthly budgets exceeding $200K. Continuous bid strategy, audience segmentation, and channel optimization have reduced cost per acquisition by up to 26% while scaling qualified lead volume.

I develop and execute organic social strategy across Facebook, Instagram, LinkedIn, and Twitter/X, building content calendars and managing platform-specific engagement for multiple brands at once. Consistent cadence and format-native content have driven follower growth of 60% across platforms.

I build content strategies that connect SEO objectives with brand storytelling, producing blog posts, guides, infographics, and landing page copy that move buyers from awareness to decision. Content-led programs I've run have contributed to web traffic increases of 55% without additional paid spend.

I design nurture sequences and automation workflows in HubSpot and Mailchimp, segmenting contacts by behavior, industry, and lifecycle stage. Tighter subject line testing and send-time optimization have produced open rate lifts of 30% and conversion rate improvements of 10% or more across campaigns I've run.

I audit landing pages, forms, and conversion paths to find where visitors drop off, then run A/B tests to close those gaps. Improvements to messaging clarity, page speed, and CTA placement have lifted MQL-to-SQL conversion rates by up to 50% without increasing media spend. Added gated content to valuable content like buyer guides, tools and assessments.

I track full-funnel performance using Google Analytics, HubSpot, and Power BI, building dashboards that connect campaign spend directly to MQL volume, pipeline contribution, and ROI across every channel I manage. At Commport Communications, data-driven demand generation programs have influenced over $1M in sales pipeline.

I build and manage affiliate programs that generate partner-driven traffic without inflating acquisition costs, setting commission structures tied to verified revenue outcomes rather than clicks. Attribution tracking across the full funnel keeps affiliate spend accountable and prevents budget from funding low-quality, non-converting traffic sources.

I build GTM plans that connect product launches to demand generation by defining target segments, positioning, and the campaign sequence that brings a new product to market. Each plan works backward from a defined revenue target so every activity has a clear, measurable role in driving pipeline.

I develop messaging frameworks that turn technical product capabilities into value-driven language matched to specific buyer personas, ensuring consistency across every sales and marketing touchpoint. Aligned messaging across sales and marketing teams has contributed to the 50% MQL-to-SQL conversion improvement I achieved at Commport Communications.

I track how competitors position, price, and message their offerings on an ongoing basis, feeding those findings into differentiation strategy for sales collateral and website copy. Regular competitive reviews keep messaging sharp as the market shifts rather than letting it go stale between 6-month launch cycles.

I produce the materials sales teams use in live deals: battle cards, one-pagers, objection handlers, and talk tracks built directly around real buyer questions. Close alignment with sales on qualification criteria and handoff processes has tightened MQL-to-SQL conversion rates by up to 50% across programs I've managed.

I coordinate launch plans across engineering, design, and customer success, sequencing announcements, content, and paid campaigns so the product hits the market as one coordinated push rather than disconnected updates. Post-launch reviews feed directly back into the next product cycle to sharpen future GTM execution.

I collect and synthesize customer feedback, NPS data, and sales call themes to surface what buyers actually value versus how the product is currently positioned to them. Those insights feed directly into messaging updates, roadmap input, and campaign targeting adjustments on a quarterly basis.

I build buyer personas from CRM data, customer interviews, and sales input, mapping pain points and purchase triggers to messaging at each funnel stage across B2B industries including IT, manufacturing, and finance. Grounded personas keep targeting decisions based on real buyer behavior rather than internal assumptions.

I work alongside product and engineering teams to translate roadmap priorities into market-facing narratives before features ship, not after. Early involvement in planning means launch messaging is ready on day one, cutting the time between release and first customer-facing campaign to near zero.

I structure content for extraction into AI-generated answers by formatting in clear declarative sentences and building the topical depth AI models use to identify authoritative sources. With over 40% of queries returning AI results, appearing in those answers captures traffic that never reaches a traditional results page.

I optimize content for featured snippets, People Also Ask boxes, and voice search by structuring answers concisely and matching the exact language buyers use when querying search engines and AI assistants. Featured snippets alone can increase organic click-through rates by 20–30% compared to standard position-one rankings.

I use AI tools to accelerate first drafts, headline testing, and content repurposing across formats and channels, cutting content production time by 40–60% without sacrificing output quality. Editorial judgment applied after generation handles fact-checking, brand voice alignment, and localization before anything goes live.

I run campaign performance data through AI analysis tools to surface patterns faster than manual review, flagging underperforming segments and summarizing trends for stakeholder reporting across $200K+ monthly budgets. Faster pattern recognition translates directly into quicker budget reallocation decisions and fewer wasted impressions per campaign cycle.

I build reusable prompt libraries for recurring tasks including ad copy variations, meta description generation, and competitive summaries, cutting repetitive content work by up to 50%. Standardized prompts give the team consistent, on-brand output instead of starting from scratch with every new AI request.

I track how brands appear inside ChatGPT, Perplexity, and Claude responses, monitoring citation frequency and adjusting content strategy to strengthen visibility in conversational AI search. This is an emerging channel where early movers are capturing 3–5x more AI-generated referral traffic than competitors who haven't optimized for it.

I use natural language prompting in Cursor, GitHub Copilot, and Claude to build marketing tools, landing pages, and automation scripts without writing every line manually. This approach cuts development time by 60–70%, letting me ship working prototypes in hours rather than waiting days for engineering support.

I use AI to segment audiences at scale and personalize email, landing page, and ad experiences based on buyer stage, industry, and behavioral signals. Personalized campaigns consistently outperform generic sends by 20–30% on conversion rate, making personalization one of the highest-leverage applications of AI in B2B marketing.