Paid ads, outbound, automation, web and AI.

Paid ads and cold outbound

The people who fill your calendar. Two channels, staffed separately or together depending on where your demand actually comes from.

Paid acquisition

• Campaign build and daily management on Google Ads, Meta and LinkedIn
• Audience and keyword research, negative lists, and offer testing
• Ad creative and copy iteration — new angles shipped weekly, not quarterly
• Budget pacing and bid management against a target cost per qualified lead
• Conversion tracking that reconciles with your CRM, so ROAS means something

Cold outbound

• ICP definition and account research, refined against what actually closes
• Prospect lists built from scratch, then waterfall-enriched with verified emails and phones
• Cold email infrastructure: domains, warmup, deliverability, inbox rotation
• Sequence writing and testing across email and LinkedIn
• Reply handling, meeting booking, and CRM hygiene your sales team trusts

Automation engineers

They connect what the ads and the outbound bring in to the rest of your business, remove the manual steps between your tools, and stay to keep it running when an API changes or a volume spike breaks something.

• Workflow builds in n8n, Make or Zapier, versioned and documented
• CRM plumbing: lead routing, scoring, deduplication, lifecycle stages
• Custom API integrations between systems that don't natively talk
• Automated reporting into the dashboard your team already opens
• Monitoring and error handling, so failures alert instead of going silent

Web developers

The landing pages your ad traffic hits, and the site behind them. Built to be measured and improved — fast loads, clean tracking, and a structure that lets you test new campaign angles without calling a developer every time.

• Campaign landing pages and funnels, wired to analytics from the first deploy
• Full marketing site builds in Next.js, Webflow or WordPress
• Core Web Vitals work — real speed, not a score you screenshot once
• A/B test implementation and conversion tracking that reconciles with your CRM
• Component systems your marketing team can edit without breaking layout

AI engineers

AI where it removes a real bottleneck — qualifying inbound, drafting research, answering from your own documentation — built with guardrails and a way to tell whether it's working.

• Agents that qualify and route inbound leads before a human sees them
• Assistants grounded in your docs, playbooks and product knowledge
• AI steps embedded inside existing automations rather than bolted on
• Evaluation sets and monitoring, so quality is measured instead of assumed
• Cost controls and fallbacks — no surprise bills, no silent failures