Rebuilding a Lead Engine for a Series B SaaS Platform
How a consolidated media strategy, server-side analytics and AI-assisted qualification unlocked a 42% lift in qualified pipeline.
0%
Increase in Qualified Leads
0%
Lower Cost per Lead
0%
Improved Sales Acceptance
0.0×
Attribution Coverage
The situation
Pipeline growth had stalled despite increasing advertising investment. Customer acquisition costs continued to rise while lead quality declined and sales acceptance rates trended downward.
What success looked like
- Increase qualified pipeline
- Improve lead quality and sales acceptance
- Reduce customer acquisition cost
- Improve cross-channel attribution accuracy
Strategy
How we approached it
A prioritized set of moves designed to unlock efficient, sustainable growth.
Consolidated Google Ads account structure into intent-based themes
Migrated to server-side GA4 tracking with enriched conversion signals
Built high-intent Search campaigns aligned to ICP problem statements
Launched LinkedIn demand generation to warm the enterprise segment
Introduced AI-assisted lead qualification for inbound routing
Redesigned lifecycle automation with journey-based nurture tracks
Process
Engagement timeline
From discovery to scale — the milestones that structured the work.
- Weeks 1–2
Discovery & Audit
Full audit of ad accounts, analytics implementation, CRM data quality and funnel performance.
- Weeks 3–4
Strategy & Roadmap
Consolidated media plan, measurement blueprint and lifecycle redesign approved.
- Weeks 5–8
Build & Launch
Server-side GA4, restructured Google Ads, LinkedIn ABM and AI qualification live.
- Weeks 9–16
Optimize
Weekly experiments across creative, bidding, landing pages and lifecycle sequences.
- Ongoing
Scale
Reinvested budget into channels and audiences with proven unit economics.
Solution Architecture
How the system fits together
A layered view of the acquisition, measurement, activation and reporting stack.
- Google Ads (Search, PMax)
- LinkedIn Ads (ABM)
- SEO
- Server-side GA4
- Enhanced Conversions
- CRM offline import
- Lifecycle marketing
- AI lead scoring
- Sales routing
- Executive dashboard
- Channel attribution
- Cohort analysis
The stack that powered it
Results
Illustrative outcomes
Selected KPIs from the engagement, shown as directional indicators of impact.
0%
Increase in Qualified Leads
0%
Lower Cost per Lead
0%
Improved Sales Acceptance
0.0×
Attribution Coverage
Key Takeaways
What we'd repeat
The principles from this engagement that translate to other growth challenges.
Account consolidation and intent-based structure outperformed broad reach.
Server-side measurement was the single biggest unlock for optimization.
AI-assisted qualification removed friction between marketing and sales.
Related Services
Capabilities behind this work
Google Ads
Full-funnel Search, Performance Max and YouTube campaigns engineered for pipeline and profit.
Learn moreAI Automation
Custom AI agents and workflow automation that remove operational drag across marketing and sales.
Learn moreMarketing Analytics
Unify data across channels to measure incrementality, LTV and true marketing ROI.
Learn moreGA4 & GTM
Server-side tagging, event architecture and reliable GA4 implementations built to last.
Learn moreFAQ
Frequently asked questions
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