Your AI-powered growth team

Snitcher is a B2B visitor identification platform based in the Netherlands. They use IP intelligence to reveal which companies visit your website before anyone fills out a form, and feed that data into your CRM in real time. Over 45,000 users globally.

Snitcher was running Google Ads at a modest ROAS but couldn't scale. Every time they pushed spend, performance degraded. The previous agency had left behind a messy foundation: keyword overlap across campaigns, shared budget pools where campaigns cannibalized each other, inconsistent ad copy, and no separation between brand, non-brand, and competitor traffic. On top of that, they were stuck on just two channels and had been locked out of Meta entirely.

You can't scale on top of a broken foundation. Every dollar of increased budget was just amplifying the inefficiency. The first move wasn't to spend more — it was to tear everything down, rebuild with clean architecture, and then scale each piece independently once we had clear signal.

• ~4x increase in revenue from paid in 12 months, driven by simultaneously scaling spend and improving efficiency.
• Their most recent month was the best-performing month on paid in company history.
• Expanded from 2 channels to 4 (added Meta and Bing).

WorkOS is a developer platform that helps B2B SaaS companies ship enterprise features like SSO, directory sync, and audit logs in minutes instead of months. Backed by Lightspeed Venture Partners and used by companies like Vercel and Copy.ai.

WorkOS was investing in Google Ads but generating almost no qualified signups. The ads weren't the core issue. Their CRM was disorganized, the sales process on the back end was undefined, and the team had no visibility into what a "qualified" lead even looked like. There was no feedback loop connecting ad spend to pipeline quality, which meant there was nothing meaningful to optimize toward.

The problem was never spend — it was signal. WorkOS had no way to tell which leads from paid were actually qualified, so there was no way to optimize toward what mattered. By getting inside their HubSpot and building a real-time feedback loop between ad performance and pipeline quality, we could optimize for signups that actually converted — not just clicks or form fills. The twice-weekly working sessions meant we were operating as an extension of their team, not a vendor reporting from the outside.

• 9x increase in qualified lead flow from Google
• Strong ad efficiency maintained as volume scaled over a multi-year engagement
• Multi-year partnership. Their Head of Marketing described it as one of the best partner relationships they’d ever had.

Videogen is a YC-backed AI video platform that enables users to generate videos quickly and at scale. The company had strong early traction and a working ads funnel, but needed to unlock the next phase of growth without breaking unit economics.

Videogen had already scaled to around $50k/month in ad spend, but hit a hard plateau. Every attempt to push spend higher caused CAC to spike.

The main issue was their structure. Campaigns were blending branded and non-branded traffic, bidding strategies were limiting scale, and there was no clear system for expanding into new audiences while maintaining efficiency.

Like most teams at this stage, they were trying to scale by turning up budget instead of rebuilding the system underneath it.

Scaling isn't about cranking budgets — it's about layering the right systems at the right time.

• 8x increase in ad spend ($62k → $493k/month in 90 days)
• CAC held within ~20% of baseline during aggressive scaling
• 6,000+ new paying users acquired within the growth window
• Successful fundraise following sustained growth

FirmPilot is a venture-backed AI marketing platform for law firms, backed by Thomson Reuters Ventures, HubSpot Ventures, and Blumberg Capital. High-ACV product with 6-12 month contracts. Each closed deal represents significant annual recurring revenue.

FirmPilot had been investing in paid acquisition but wasn't seeing a single closed deal come through from paid channels. The leads were there. But they weren’t converting. This had been the case through multiple operators before we took over the account. There was no system connecting ad spend to pipeline, and no clear signal on what was working or why.

When your average deal is worth $50-100K, you don't need hundreds of leads — you need the right five. The qualifying friction in the lead forms meant the sales team spent time on prospects who'd already self-identified as a fit, not chasing cold form fills. That shortened the path from lead to close, and the compounding contract economics did the rest.

• 8x+ ROAS on ad spend, and compounding. Contracts run 6-12 months, so the true return on early spend only grows over time.
• Went from zero closed deals on paid to multiple high-ACV deals closing per month, consistently.
• Roughly doubled ad spend while dramatically improving efficiency.
• After a year of working together, FirmPilot raised a round from Thomson Reuters.