Real projects. Real outcomes.

Pharmaceutics International (Pii) is a pharma and biotech CDMO that needed a demand engine feeding qualified meetings to sales. We ran the paid media, built the outbound database from scratch, and rebuilt marketing operations in HubSpot. The 2022 ROI report we co-authored with Pii: an 11.19 ROAS, a 19.88% inbound-lead-to-meeting rate against a 5-6% industry average, and, across the program, $17.5M closed-won on a $1M yearly marketing budget with $120M in marketing-sourced pipeline in under two years. Pii went on to a record year in 2023.

A decade of HubSpot workflow sprawl was masking a 20x cost-per-meeting gap between channels. We collapsed 16 workflows per source into 2 master workflows, rebuilt attribution from scratch, and deployed a 3-stage AI cascade (voice agent, AI SDR, human rep). Q1 stabilization alone saved an estimated $500K annually. No CRM migration required.

QuakeWrap targets engineering buyers at infrastructure conferences. Over four years, we built and ran their entire growth engine: HubSpot CRM buildout, enrichment of 35K contacts, outbound campaigns hitting 55% open rates on closed-lost reactivation, a podcast that grew from 75 to 195 live viewers per episode, and a sales team that scaled from founder-led to tracking $7M+ across 28 active projects.

A static ICP list was starving their pipeline. We rebuilt it as a live signal system pulling from Clay and Grata, automated acquisition-triggered sequences in HubSpot, and armed BDRs with four named signal plays. Conversion went from 10% to 20% in 90 days, without adding headcount.

mPower Solar was running 80+ employees on Spadio, a tool that was never a CRM. With access ending March 3, we architected and built a full HubSpot implementation in 10 weeks: 7+ ticket pipelines, a custom Proposal object with 250 properties, and a parent-child deal-to-ticket hierarchy. Then trained the entire company and handed the keys to an in-house CRM specialist we trained ourselves.

Chaos had 170,000 historical customer accounts sitting in a messy international dataset with no firmographics, revenue potential, or contact data attached. We built an automated enrichment pipeline that cleared the 70% accuracy bar Chaos set as its threshold for trusting the data, then shipped a live Revenue Potential model in February 2026 and presented it to the board. It reshaped their AEC go-to-market strategy, and the project became Chaos's internal proof point for AI adoption.

An 8 AM AI briefing in HubSpot that reviews every customer conversation overnight, so 153 people start the day knowing who needs them first.

Worldwide Logistics had to be off Microsoft Dynamics before the contract expired. In six months we moved 250+ users across five teams onto a new CRM and Business OS, delivered the migration on deadline, built new pipelines from scratch, automated their pricing and onboarding handoffs, and rolled it out by control group so adoption actually stuck.

Horizon Health had no CRM, no email engine, and no digital infrastructure. We built the full stack: HubSpot implementation, multi-domain email infrastructure that drove open rates from 17% to 78%, a closed-lost reactivation campaign across 100+ hospitals, and a target account taxonomy covering 7,753 hospitals across 8 service dimensions.

ICSC needed to fill a PropTech track and prove that event-driven outbound could produce real demand. Over a six-month campaign we reached 20,270+ contacts and produced 144 validated hand-raisers from 132 companies. After the event, we overlaid registration data to surface membership signals ICSC had never seen, including fare-evaders and deep-penetration accounts, then wrapped with a 20-slide, board-level report for the EVP CMO. The proof showed up in behavior: ICSC brought us back for a second engagement on public sector new-member acquisition.

Tergus Pharma needed to move its revenue stack off Salesforce. We migrated them to HubSpot with PandaDoc, then stayed on as their ongoing partner for 18+ months. Our Display vs LinkedIn Ads analysis directly shaped Tergus's 2024 digital budget allocation. The analysis framework we built became their operating cadence.

Elastic Path needed new-logo pipeline and had years of closed-lost deals nobody was working.

Account ownership was unbalanced and high-intent leads waited over an hour for a first touch.

Years of customer stories and lost deals were sitting unused in the CRM, and inbound leads were going unworked.

InCheck wanted more pipeline from the contacts already in HubSpot.

A CDMO needed a steady flow of qualified conversations with smaller pharma companies.

TubeBuddy needed an enterprise pipeline engine on top of a huge self-serve user base.

ApiJect needed conversations with pharma and biotech leaders around an executive speaking session.

Manifest wanted conversations with the right supply chain leaders, sent from the people on its own team.