Client Results

Rebuilt the planning process using historical CRM data to create accurate pipeline projections by region, channel, and partner — so every dollar had a forecasted return before it was spent.
Designed campaigns that align with the full buyer journey, pairing demand generation with brand awareness programs to warm ICP accounts before direct outreach.
Entered platform betas early and ran consistent A/B tests across paid channels, partner programs, and influencer activations to capture efficiency gains ahead of competitors.
Delivered robust reporting cadences — weekly dashboards for growth teams, monthly executive summaries connecting paid activity to pipeline and revenue impact.
Led quarterly strategy workshops and daily office hours, keeping stakeholders aligned and removing bottlenecks across sales and marketing in real time.

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Case Study — Paid Media

spot.aispot.ai

How Spot.ai Grew Monthly Pipeline by 740% Through Strategic Paid Acquisition and Vertical Segmentation

By scaling spend intelligently and targeting the right verticals, CGM turned Spot.ai's paid acquisition into a compounding pipeline engine.

740%

Increase in monthly pipeline from paid acquisition

Paid AcquisitionPaid Social ScalingICP SegmentationGoogle Ads Optimization

Challenge

Spot.ai had strong product-market fit but lacked a scalable paid acquisition strategy to match their growth ambitions. Spend was increasing without a corresponding lift in pipeline quality or volume — and the team lacked the segmentation framework to efficiently reach their highest-value ICP accounts.

Solution

CGM rebuilt Spot.ai's paid strategy from the ground up — reallocating Google Ads spend toward higher-intent placements, scaling paid social with tighter creative and audience segmentation, and building a vertical-specific targeting framework across three core segments:

SLED (State, Local, Education)
Auto-retail
Industrial & Manufacturing

How We Did It

Audited and restructured Google Ads, identifying wasted spend, reducing bids on low-intent keywords, and reallocating budget toward bottom-of-funnel placements with higher conversion rates.
Scaled paid social aggressively with vertical-specific creative and audience segments, allowing Spot.ai to increase total spend by 176% while improving overall ROAS.
Built a vertical segmentation model targeting SLED, auto-retail, and industrial/manufacturing accounts, ensuring messaging and offer aligned tightly with each segment's buying criteria and pain points.
Established full-funnel attribution connecting ad spend to SQLs and pipeline, giving the revenue team real-time visibility into which verticals and channels were driving the most qualified deals.

Monthly Pipeline Growth (Indexed)

+740%

Spend Efficiency176% increase in ad spend → 740% increase in monthly pipeline.
More spend, smarter allocation, dramatically better returns.

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Case Study — SEO, Content Strategy & AI

quantilopequantilope.com

How Quantilope Built a $400K Inbound Revenue Channel — and Then Grew LLM Traffic by 1,467%

A two-phase engagement, starting with standing up inbound as a net-new growth channel for a sales-driven enterprise SaaS, followed by future-proofing that channel for the AI search era.

$400K

Closed/won revenue attributed to organic

389%

Increase in traffic from "brand tracking" related searches

516%

Increase in non-branded organic traffic

1,467%

YoY increase in traffic from LLMs (Q1 2025)

Content StrategySEO Page OptimizationCRO StrategyAI + SEOGenerative AI Optimization

Challenge

Quantilope — a do-it-yourself consumer insights platform for in-house research professionals — was a sales-driven organization with virtually no inbound demand generation. They needed to supplement their outbound motion with an organic channel capable of hitting meaningful growth targets, without a large content team in place.

Solution

CGM identified "brand tracking" as a high-intent topic cluster based on direct input from product and sales teams. We then built and managed the full content and optimization system:

64 new pieces of targeted content in year one
Page optimization across existing high-potential URLs
CRO initiatives to convert organic traffic into pipeline
AI Overview analysis driving competitor comparison content

Phase 1 — Building the Inbound Engine (2022)

Phase 1 Results

Identified "brand tracking" as the highest-intent topic cluster based on sales and product team feedback — building a content strategy with clear commercial intent from day one.
Produced 64 new pieces of content optimized for search intent and buyer stage — establishing topical authority in a highly competitive SaaS research vertical.
Executed page optimization across existing URLs and built CRO initiatives to convert newly acquired organic traffic into pipeline — not just pageviews.
Achieved 389% growth in brand tracking search traffic and 516% growth in non-branded traffic — proving the inbound channel was now reaching net-new audiences.

Phase 2 — AI Search Optimization (2024–2025)

Staying Ahead of AI Search

Conducted AI Overview analysis to identify where competitors were appearing in generative search results — and built competitor comparison content to capture that share.
Optimized content structure and page formatting to be LLM-retrievable — ensuring Quantilope surfaces in ChatGPT, Perplexity, and Google AI Overviews when buyers research the category.
QoQ growth achieved across every quarter from Q4 2023 to Q1 2025 — culminating in 1,467% YoY growth in LLM-referred sessions, a channel that didn't exist two years prior.

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