Noah Joseph Manion
Verified Expert in Marketing
Marketing Expert
Chicago, IL, United States
Toptal member since June 2, 2026
Noah builds growth infrastructure for early-stage SaaS and consumer companies. He has spent 10 years architecting measurement systems, attribution models, and lifecycle programs that turn raw data into a pipeline. Noah is often the first growth hire; he installs Segment, BigQuery, and reverse ETL pipelines, then ships the acquisition and retention programs that run on top. He is a code-fluent operator, not just a strategist.
Expertise
- A/B Testing
- AI Agents
- Agentic GTM
- HubSpot
- Meta Ads
- SQL
- Segment
- Statistical Analysis
Work Experience
Principal/Founder
Softpath
- Instrumented Segment event tracking across a SaaS back end and 2 Angular front ends, piped to BigQuery with reverse-ETL to ActiveCampaign and Attio, lifting signup conversion 75% and cutting churn 50%.
- Rebuilt paid acquisition with behavioral targeting and AI-generated creative across Google and Meta, reducing CPA 30% while doubling conversion volume.
- Designed and shipped Cadence, a self-hosted A/B testing platform with a visual editor, redirect testing, and impact-attribution reporting, now running live client experiments.
- Built Clay and Apollo enrichment pipelines feeding a rebuilt attribution stack, enabling behavioral segmentation and full-funnel measurement for a seed-stage AI SaaS client.
- Architected an AI ad-creative tool on Anthropic and fal.ai APIs with a structured strategic-input framework, documenting a 50% CTR lift versus non-AI creatives.
Principal – Growth
Vokal
- Built the growth practice from zero to $2-3 million annual revenue and an 8-person team of marketers and analysts, operating as player-coach across 6-8 concurrent client engagements.
- Led Google Analytics 4 migrations and Segment implementations into BigQuery warehouses for enterprise clients, enabling attribution modeling and experimentation across the portfolio.
- Ran multimillion-dollar paid campaigns with systematic landing page testing for B2C clients, driving a 45% conversion lift and 60% CPL reduction.
- Built a demand-based PPC bidding model for a $3+ billion staffing marketplace, forecasting weekly worker demand by market and back-solving channel bids from signup-to-shift conversion, in SQL and Excel.
- Audited a broken enterprise martech stack, diagnosed MAP-to-CRM sync and lead-scoring failures, evaluated four CDPs, and recommended ActionIQ with a redesigned lead-routing model.
Director of Growth
LandscapeHub
- Launched the first paid lead generation program across Facebook, Google, and LinkedIn, reducing cost per lead 45% over four months while increasing qualified MQL volume 60% in the first quarter.
- Built the company's product analytics stack and BI dashboards from scratch, enabling customer segmentation, predictive targeting, and the first reliable funnel reporting the team had.
- Developed predictive lead-scoring and segmentation models that directed sales toward purchase-ready accounts, lifting targeted-engagement conversion 15%.
- Designed and shipped an automated transactional and lifecycle messaging system tied to key activation moments, improving quote-to-purchase conversion 25%.
- Identified self-serve friction points through user research and funnel analysis, prioritizing the product and onboarding fixes that unblocked marketplace conversion.
- Wrote production SQL for performance analysis and data modeling, and established data governance protocols that made campaign optimization decisions trustworthy across teams.
Growth Manager
Digital Intent
- Led go-to-market for S'more, a consumer app, scaling from 0 to 360,000 downloads and 45,000 daily active users in 11 months at a $2.50 blended CPA across Facebook, Google, and mobile ad networks.
- Scaled a US Cellular consumer app from 0 to 80,000 daily active users through paid acquisition and lifecycle optimization.
- Built a custom A/B testing platform for a referral program, driving a 200% increase in referral traffic and proving product-based incentives lifted retention 20% over cash rewards.
- Integrated predictive analytics into CRM and lifecycle communications, increasing activation rates 40% through better-timed, behavior-triggered messaging.
- Redesigned onboarding flows by simplifying input forms and adding in-app rewards, raising activation rate 40%.
- Optimized push notification and email send timing across portfolio products, reducing unsubscribe rates 25%, and trained client teams to run growth independently post-engagement.
- Redesigned onboarding flows by simplifying input forms and adding in-app rewards, raising activation rate 40%.
Project History
Cadence
http://cadence.softpath.co- 100% — Self-hosted Experimentation Stack Built & Shipped
- 15+ — Experiments in Active Backlog & Rotation
- $0 — Ongoing 3rd-party Testing Tool Cost
Google Optimize was dead, and the hosted alternatives were expensive, heavy, or sent experiment data through 3rd parties. Smaller clients needed a way to run rigorous tests without surrendering data ownership or paying enterprise pricing for features they would not use.
I architected and shipped Cadence, a self-hosted A/B testing platform, designing the stack and data model from scratch and driving the build through AI-assisted development. I shipped a visual editor, code injection, redirect testing, natural-language test creation, and an impact-attribution view that ties experiments to downstream outcomes.
Cadence runs live experiments for a paid field-service SaaS client and is dogfooded internally, with a backlog of 15+ tests. It gives clients full data ownership and removes recurring testing tool costs.
Empwr.ai
- 75% — Increase in Signup Conversion Rate
- 50% — Reduction in Churn Within 6 Months
- 30% — Reduction in CPA at Double the Volume
A seed-stage AI meeting tool was flying blind. Event tracking was inconsistent across the back end and 2 Angular front ends, the warehouse was full of unreliable data, and there was no working attribution. Marketing could not tell which channels or behaviors actually drove signups and retention.
I instrumented full-funnel event tracking with Segment across the back end and both front ends with merged pull requests, cleaned up the BigQuery warehouse, and built reverse-ETL syncs to ActiveCampaign and Attio. I layered in Clay and Apollo enrichment, rebuilt the attribution stack, then ran a structured A/B testing program on landing pages and onboarding, plus a behavioral-targeting paid rebuild.
Trustworthy data unlocked behavioral segmentation and real measurement. Signup conversion rose 75%, churn dropped 50% within 6 months, and CPA fell 30% while conversion volume doubled.
DoubleGood
- 50% — CTR Lift from AI-assisted Creative
- 1 — Predictive LTV Model Deployed to Production
- 100% — Server-side Conversion Coverage via Meta CAPI
A DTC fundraising business needed sharper acquisition targeting and accurate conversion measurement as browser-side signal loss eroded ad performance. They lacked a forward-looking view of customer value and were leaking conversion data to the ad platforms.
I built a LightGBM predictive LTV and activation model to score and prioritize high-value cohorts, and implemented server-side Meta CAPI to restore conversion signal and improve match quality. I paired the modeling with AI-assisted creative testing.
Predictive scoring focused spend on cohorts most likely to convert and retain, server-side measurement recovered lost conversion signal, and AI-assisted creative drove a documented 50% CTR lift versus non-AI creatives.
Education
Bachelor's Degree in Liberal Arts
New School University - New York, NY, USA
Skills
Core
Google Ads, Google Tag Manager, A/B Testing, Conversion Rate Optimization (CRO), Marketing Analytics, Marketing Automation, Pay-per-Click (PPC), Media Buying, Digital Marketing, Growth Hacking, Marketing Strategy, Ad Campaigns, Facebook Ads, Performance Marketing, Audience Targeting, Paid Advertising, Email Marketing Automation, Go-to-market (GTM) Strategy, Lead Generation, Email Marketing, Generative Artificial Intelligence (GenAI), Search Engine Optimization (SEO)
Platforms & Tools
BigQuery, Google Analytics 4 (GA4), Google Analytics, Looker Studio, Instagram Ads, HubSpot, Iterable
Business Models
B2B, SaaS, SaaS Product Marketing
Technical
SQL, Google Search Console
Other
Meta Ads, AI Agents, Data Visualization, Attribution Modeling, PPC Campaign Management, Paid Search, Prompt Engineering, Product Analytics, Web Analytics, Growth Experimentation, Analytics, Early-stage Startups, Growth Strategy, Multi-channel, Paid Media, Campaign Optimization, Growth Marketing, Performance Metrics, Outbound Marketing, Email Outreach, Ad Optimization, Data Engineering, Segment, Agentic GTM, Statistics, Statistical Analysis, Snowflake, Customer Data Platform (CDP), ETL, Large Language Models (LLMs), Conversions API, Answer Engine Optimization (AEO), Marketplaces, AI Content Creation, Geofencing & Geotargeting, CRM, Salesforce, Quality Assurance (QA), Python, TypeScript, Marketing Attribution, LinkedIn Sales Navigator
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