Marketing & Growth

Write B2B cold emails and follow-up sequences that earn replies, with frameworks for subject lines, personalization, and multi-touch outreach.

Audits images on a webpage for SEO and performance, checking alt text, file sizes, formats, responsive images, lazy loading, and CLS prevention.

Detect, validate, and generate Schema.org structured data in JSON-LD format for SEO and rich results.

Audit Google Business Profiles, generate neighborhood service area pages, check NAP consistency across directories, create LocalBusiness schema, and write review responses for service-area businesses.

Write growth logs that extract reusable patterns from complex tasks, failures, and learning moments, using a structured template and quality checklist.

Set up recurring, self-running marketing workflows that an AI agent executes on a cadence—weekly, daily, or on trigger—to maintain and optimize marketing operations.

Analyze marketing pages and forms to provide actionable recommendations for improving conversion rates.

Designs, constructs, and improves offers by applying value equation analysis, bonus stacking, guarantee design, scarcity/urgency, naming, and payment structure.

Design value-based pricing, packaging, and monetization strategies for SaaS products, including tier structures, value metrics, and price optimization.

Set up, improve, or audit analytics tracking and measurement for marketing and product decisions.

Plan, design, and implement A/B tests and experiments with statistical rigor, or build a growth experimentation program.

Audits a website from three perspectives—design, SEO/technical, and LLM/AI-search visibility—and produces a scored, evidence-bound report with prioritized improvements.

Identifies which items (pages, campaigns, products, channels, regions) had the biggest increases or decreases for a key metric between two time periods.

Identifies which dimension items (pages, campaigns, products, channels, regions) had the biggest increases or decreases for a key metric between two time periods.

Compares 2–5 audience segments side by side across key metrics, identifying winners, losers, and significant differences to inform product decisions and personalization strategy.

Analyzes multi-step conversion funnels in Adobe Analytics to identify visitor drop-off points, compute step conversion rates, and pinpoint the worst leakage steps.

Audit images across AEM Edge Delivery Services pages for SEO and performance, checking alt text quality, dimensions, lazy loading, fetch priority, file naming, and decorative image handling, and generate per-page reports with fix instructions.

Compares the performance of two or more audience segments across key metrics side by side, using Adobe Analytics data to determine winners, losers, and spreads for each metric.

Audit AEM Edge Delivery Services pages for content quality, SEO, accessibility, performance, and EDS best practices, producing a prioritized fix list with remediation steps.

Validate an AEM Edge Delivery Services sitemap.xml against actual site content, checking URL reachability, lastmod dates, and identifying missing or orphaned pages.

Audit AEM Edge Delivery Services commerce product pages for search engine crawlability and indexing, then remediate issues with meta tags, structured data, canonical URLs, and image optimization.

Audit and optimize headings across AEM Edge Delivery Services pages for search intent, hierarchy, and consistency.

Resize, crop, or export any image or video into platform-ready social media assets using Adobe Creative Cloud tools.

Write user-facing copy following Sentry's brand guidelines, covering Plain Speech and Sentry Voice tones for UI text, documentation, and marketing content.

Write, review, and improve blog posts for the Sentry engineering blog following Sentry's specific writing standards, voice, and quality bar.

Turn engineering work into evidence-backed impact statements for performance reviews, self-reviews, promotion packets, and weekly updates by mining Copilot CLI session logs, git history, and GitHub PRs.

Go-to-market strategy for AI products, covering positioning, pricing, and enterprise objections.

Launch new products from idea to first customers using frameworks for positioning, outreach, and experimentation.

Design meeting rhythms, metric reporting, quarterly planning, and decision-making velocity for scaling companies.

Build self-serve acquisition and expansion motions, including deciding between PLG and sales-led, optimizing activation, driving freemium conversion, and building growth equations.

Format and draft compelling LinkedIn posts using Unicode bold/italic styling, visual separators, structured sections, and engagement-optimized patterns.

Onboard enterprise customers from contract to value realization using a four-phase framework that prevents churn and the Week 4 ghosting pattern.

Plan and execute enterprise sales cycles using MEDDICC qualification, mutual action plans, and stakeholder mapping to systematically close complex deals.

Guides scaling decisions for Qdrant vector databases when data volume exceeds single-node capacity, covering tenant scaling, time window rotation, vertical scaling, and horizontal sharding.

Structure board meetings, investor updates, and executive communication that builds trust and drives decisions.

Diagnoses Qdrant capacity needs and guides horizontal scaling decisions, including node count, shard count, replication factor, and resharding trade-offs.