Case studies

Proof that the engine can move the numbers.

Selected results from B2B SaaS, technology and growth environments. Client names are withheld under NDA. Each engagement is labelled as either a ScaleHaus client engagement or Shraddha Pradhan's previous in-house operating experience — these are outcomes achieved in a specific context, not guaranteed results.

Previous operating experience — MaintainX · B2B SaaS

Scaling paid acquisition from $100K to $3.5M per month

$100K → $3.5M/mo
Paid media investment: $4M → $100M+
ARR growth supported: 10+ years
Relevant experience

Problem: A high growth B2B SaaS company needed to significantly increase paid acquisition investment while continuing to deliver lead, SAL, pipeline and ARR targets.
Insight: At that rate of increase, platform metrics stop being a reliable guide. Spend decisions had to be governed by lead quality, SALs, qualified pipeline and ARR rather than volume.
Intervention: Built and scaled paid acquisition with experimentation across paid search, paid social, paid directories, app acquisition, landing pages, creative and audience targeting, partnering with Sales, Product Marketing, Lifecycle Marketing and Design.
Business result: Scaled monthly paid media from approximately $100K to $3.5M, supported company growth from approximately $4M to over $100M ARR, and consistently delivered lead, SAL, pipeline and ARR targets.

LessonScaling acquisition is a measurement, experimentation and budget allocation challenge, not simply a spending challenge.

Client engagement · B2B SaaS / AI

Reallocating paid search investment around downstream revenue

−13%
Media spend: +56%
Sales pipeline: $0.64 → $0.36
Cost per pipeline dollar

Problem: A fragmented paid search account had approximately 15 campaigns and heavy reliance on broad match. Lead volume alone did not reveal which campaigns were creating qualified pipeline.
Insight: Campaigns that looked efficient on cost per lead were not the campaigns producing pipeline. The account was being optimized against the wrong endpoint.
Intervention: Connected campaign performance to downstream pipeline and revenue, identified the stronger performing campaigns, consolidated around them, improved search intent alignment, refined landing page alignment, and reallocated budget toward stronger pipeline economics.
Business result: 13% reduction in media spend quarter over quarter, a 56% increase in sales pipeline, and cost per pipeline dollar improved from $0.64 to $0.36.

LessonThe highest value optimization is often knowing where to stop spending.

Previous operating experience — FreshBooks · SaaS / Technology

Reducing acquisition cost by 40% through campaign consolidation

−40%
Acquisition cost: 4X
LinkedIn conversion rate: −50%
CAC, self starter segment

Problem: A fragmented acquisition engine spread budget across overlapping campaigns and audiences, diluting learning and inflating acquisition cost.
Insight: Audience overlap and structural fragmentation were splitting signal. Fewer, stronger segments would compound performance faster than more campaigns.
Intervention: Analyzed campaign structure, audience segmentation, spend distribution and audience overlap, consolidated fragmented structures around stronger performing segments, launched and optimized LinkedIn acquisition, and tested creative, audiences and campaign structures.
Business result: Reduced acquisition cost by 40%, improved LinkedIn conversion rate 4X, and reduced CAC 50% for the relevant FreshBooks self starter segment.

LessonMore campaigns do not necessarily create more growth.

Previous operating experience · B2B SaaS

Turning webinar demand into bottom of funnel pipeline

$50K
Paid media investment: $150K
Generated pipeline: ~$0.33
Cost per pipeline dollar

Problem: Webinar programs generated registration volume that did not translate into qualified pipeline.
Insight: Registration is a top of funnel signal. Without qualification, speed to lead and a bottom of funnel path, the program reports well and contributes little.
Intervention: Promoted webinar demand across Meta and LinkedIn, reframed promotion and follow up around qualified demand rather than registration volume, improved speed to lead, and connected demand generation directly with Sales.
Business result: Approximately $50K in paid media generated approximately $150K in pipeline, roughly $0.33 per pipeline dollar.

LessonA program that cannot be traced to pipeline cannot be defended in a budget review.

Previous operating experience · Consumer / App

High scale consumer app acquisition

500,000
App installs: Below target
Forecasted cost per install: Multi channel
Acquisition mix

Problem: Consumer app acquisition required sustained install volume without letting acquisition cost drift above forecast.
Insight: At high volume, creative and audience testing velocity becomes the primary lever on efficiency.
Intervention: Ran multi channel app acquisition with continuous experimentation across creative, audiences and campaign structure, optimizing toward acquisition efficiency rather than install volume alone.
Business result: Delivered 500,000 app installs below the forecasted cost per install target.

LessonEfficiency at scale comes from testing cadence, not from a single winning campaign.

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