Real results from real companies. Every case study includes the background, what we did, and measurable outcomes backed by data from our platform.
A B2B SaaS company in the workflow automation space needed to scale demand generation significantly while keeping customer acquisition cost under control. Their existing program was fragmented across multiple agencies and tools, with inconsistent tracking and no unified view of performance.
ScaleFlow was preparing for their Series B and needed to demonstrate scalable demand generation. Their marketing team was managing paid search, paid social, content, and SEO across three different agency partners and five separate tools. Performance data lived in silos, attribution was based on last-click only, and compiling a monthly report took a full-time analyst roughly three business days. They needed consolidation, better measurement, and a strategy that could scale with their funding round.
We began by consolidating all paid media programs under our management and migrating everything onto the NorthScaleLab platform. This immediately gave them a unified view of spend and performance across all channels. Next, our analytics team implemented multi-touch attribution and connected their CRM data to create closed-loop reporting — so they could finally see which channels and campaigns were driving actual pipeline, not just form fills.
On the strategy side, we restructured their paid search account for better scalability, launched LinkedIn and paid social programs with full-funnel targeting, and worked with their content team to align organic content with paid promotion strategy. We set up automated budget pacing rules in our platform to ensure spend stayed on plan, and built custom dashboards for their executive team, demand gen team, and individual channel specialists.
Over 24 months, ScaleFlow's MQL volume grew 210% while their blended CAC dropped by 42%. The key driver was reallocating budget from underperforming channels and campaigns to the ones that were actually driving qualified pipeline — something they couldn't see clearly before implementing our attribution model. Their reporting process went from three analyst-days per month to an automated 15-minute review. The company successfully raised their Series B and has continued scaling the program with our platform and team.
An emerging direct-to-consumer home goods brand came to us after struggling to scale beyond their initial Facebook-centric approach. They had strong product-market fit but limited marketing infrastructure and a team that was stretched thin across operations, creative, and customer service.
UrbanNest had built initial traction almost entirely through Facebook and Instagram ads, but they were hitting diminishing returns. Their tracking was browser-only and increasingly unreliable due to iOS privacy changes. They had dabbled in Google Ads without success, didn't have a proper analytics setup, and their small internal team didn't have the bandwidth to manage multiple channels effectively. They needed a partner who could both run the campaigns and build the measurement infrastructure to make those campaigns work.
We started by rebuilding their entire tracking architecture — implementing server-side tracking, conversion API integrations, and a unified data layer through our platform. This gave us accurate, deduplicated conversion data across all channels, which was critical for making informed budget decisions.
Next, we launched and scaled Google Search, Shopping, YouTube, and TikTok campaigns alongside an optimized Meta program. Our platform's automated budget pacing and performance alerts allowed us to manage all six channels efficiently without expanding team headcount. We also set up a creative testing framework with clear KPIs and rotation rules, ensuring the ad creative pipeline stayed full and high-performing.
On the analytics side, we built custom dashboards for revenue, profitability by product line, and cohort retention — giving the leadership team visibility they'd never had before. Automated weekly performance reports replaced manual spreadsheet updates.
Over 18 months, UrbanNest grew revenue by 3.2x while maintaining a 4.8x blended ROAS. Diversification away from a single channel reduced their risk profile dramatically — when Meta performance dipped during platform changes, Google and TikTok picked up the slack. Their internal marketing team was able to focus on creative and brand while our platform and team handled the operational side of paid media. The brand has since expanded into new product categories and continues to scale with our platform as their marketing operations backbone.
A B2B financial technology company serving accounting firms needed to upgrade their marketing measurement to meet internal compliance standards. Their existing setup relied on third-party tracking tools and manual reporting that couldn't pass their data governance reviews.
LedgerPro operated in a heavily regulated space and needed marketing data that was auditable, compliant with data residency requirements, and consistent with their internal data governance policies. Their previous marketing setup used several browser-based tracking tools and aggregated reporting from multiple platforms — none of which passed muster with their data security and compliance team. They also needed better attribution to understand which marketing channels were driving their most valuable enterprise customers.
Our technology and analytics teams worked closely with LedgerPro's IT and compliance officers to design and implement a marketing data architecture that met all their requirements. We deployed our platform with server-side data collection, data residency controls, and full audit logging — ensuring every data point could be traced from source to report.
We built a custom data pipeline that connected their ad platforms, website analytics, CRM, and product usage data into a unified model within our platform. This enabled multi-touch attribution that included both marketing touchpoints and product engagement signals — giving them a much more complete picture of customer value than standard last-click attribution.
The new analytics stack passed all internal compliance and security reviews on the first submission. Manual reporting time dropped by 65%, and the marketing team gained visibility into channel performance at a depth they'd never had before. The improved attribution model revealed that several channels they had considered underperforming were actually driving their highest-LTV enterprise customers — leading to a budget reallocation that increased overall lead quality by 47%. The platform remains their primary marketing operations system, and we continue to expand its capabilities as their programs grow.
A digital health startup preparing for commercial launch needed a complete paid acquisition program built from the ground up — including strategy, tracking infrastructure, campaign setup, and ongoing optimization — all within a tight timeline.
VitalTrack had a validated product and was ready to scale customer acquisition, but their marketing team was small and focused primarily on brand and content. They had no paid media infrastructure, no proper tracking, no attribution model, and a launch date six weeks out. They needed a partner who could move fast, build everything correctly from the start, and then run the program day-to-day.
We ran a compressed but thorough discovery process to understand their audience, product positioning, and unit economics. In parallel, our technology team implemented the full tracking stack — server-side events, CRM integration, and our platform's data layer — so that from day one, every campaign would have accurate, complete measurement.
We launched across five channels simultaneously: Google Search, Google Display, Meta, LinkedIn, and YouTube. Each channel was structured with full-funnel targeting and a testing framework designed to learn quickly. Our platform's automated pacing and alert systems meant we could manage all five channels efficiently despite the compressed timeline.
We went from zero paid acquisition to five live channels in exactly six weeks, hitting the launch deadline with room to spare. By month three, customer acquisition volume had grown 180% month-over-month while maintaining a CAC 4.2x better than their initial target. The rapid testing framework we built in the platform meant we learned quickly which audiences, messages, and channels worked — and could double down on them fast. VitalTrack has since expanded their marketing team and continues to use our platform as the foundation of their paid acquisition program.
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