The work, shown.
Every engagement below started the same way: a company that grew on hustle and word-of-mouth, hit the ceiling, and needed marketing to become a system instead of a scramble. Here's what happened next.
The situation: a development agency selling everything to everyone, ready to niche into EdTech but with no evidence-based way to make the move.
- Portfolio audit — analyzed their best accounts and margins to find where the real focus was
- Market research and customer interviews → new positioning and value proposition
- Built the service offering around the new foundations, mapped it to the website with SEO in mind
- Then the engine: a repeatable process testing market segments, offers, and buyer profiles via cold outreach — before scaling anything into campaigns
- Ran the loop for 4–5 months. Also unified the tone of voice, trained writers on self-briefing, and sped content production 5×
The result: $1M+ in new revenue from the new vertical — built on disciplined testing, not a lucky campaign.
The situation: an early-stage PropTech founder pricing the product entirely on gut feeling — right as an enterprise buyer showed up asking for an annual license.
- Audit of positioning, value proposition, buyer profile, and the overall GTM motion
- Spotted the pricing gap → ran a competitor check and calculated unit economics
- Repriced before the enterprise deal was signed; then built the product demo video and pitch with the founder
The result: $72K in projected revenue loss prevented on a single deal. The product was worth more than the founder was about to charge — the numbers proved it.
The situation: a marketing firm launching a blog from zero, with no content team to write it the traditional way.
- Built an AI-assisted content pipeline with human editorial oversight — my own frameworks, systematized
- Unified tone of voice, self-briefing templates, structured for search and AI-answer visibility from day one
- Content production running 5× faster than a traditional pipeline
The result: +208% organic growth in month one, top-5 rankings in search, and the first sales-qualified lead within the first month. The same AI-native approach comes with me into every engagement.
The situation: a software agency with a lead-gen team but a fuzzy service nobody could say yes to quickly. Every sale was a custom conversation.
- Research, customer interviews, positioning and buyer profile — then the key move: a productized offer with clear deliverables and outcomes
- Set up hypothesis testing against market segments; revised the messaging sequences and relaunched fresh
- Founder-led social selling launched within days; website rework foundations set
The result: 4 SQLs and a 40%+ connect rate in the first month after the strategy landed. Shorter sales conversations, because buyers finally understood what they were buying.
The situation: an agency whose pipeline lived on a single freelance marketplace — the exact "two sources only" trap, one platform change away from trouble.
- Established a functioning marketing engine within six months
- Shifted acquisition beyond the marketplace: founder-led LinkedIn generating inbound interest
- Credibility built out — 14 new industry reviews and global ranking visibility
The result: inbound interest from channels the company owns — not rented from a platform that sets the rules.
The pattern across all of these: audit the foundations, reposition on evidence, productize the offer, test before scaling. It's the same method your engagement would run on.
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