# Frequently Bayesian — Corey Abramson

> Fractional CRO and marketing analytics consulting. Based in Eugene, Oregon. Working with ecommerce, retail, and local businesses across the US and beyond.

Corey Abramson is a fractional CRO and marketing analyst with 10+ years of experience working with SMBs and international enterprise clients. He is available for project-based, retainer, and hourly engagements — scoped to the problem, not a 12-month contract.

## What he does

- Marketing analytics audits (GA4, Adobe Analytics, GTM)
- Conversion rate optimization (CRO) and A/B testing
- Funnel analysis and drop-off identification
- Dashboard and data pipeline builds
- Fractional analytics leadership for in-house teams and agencies

## Who he works with

- DTC and ecommerce brands (Shopify, BigCommerce)
- Brick-and-mortar and omnichannel retailers
- SMBs needing their first reliable analytics layer
- Agencies hiring a fractional analytics lead for client work (white-label available)
- Enterprise clients needing senior-level execution without a full-time hire

## The engagement model (The Game Plan)

Phase 1 — Rebuild trust with your data layer: GA4/Adobe Analytics/GTM audit and remediation, server-side tagging, consent management, BigQuery/Snowflake pipelines, dashboard builds.

Phase 2 — Understand the full power of your funnel: goal and conversion event mapping, full-funnel flow analysis by segment/device/channel, drop-off identification with revenue impact, qualitative UX feedback via Contentsquare/FullStory/Hotjar, prioritized opportunity roadmap.

Phase 3 — Test to learn. Test to confirm: hypothesis design tied to business decisions, implementation in Convert/Optimizely/Adobe Target/Monetate, Bayesian analysis with proper sample sizing, post-launch monitoring and post-mortems.

## Tools and stack

- Analytics: GA4, Adobe Analytics, Contentsquare, Hotjar
- Tag management and consent: GTM, Tealium, OneTrust
- Data warehouse: BigQuery, Snowflake, Hex
- BI and dashboarding: Looker, Data Studio, Power BI
- A/B testing: Convert, Optimizely, Adobe Target, Monetate, VWO
- AI, LLMs and agents: Claude, GPT, Gemini, platform-specific agents
- CDP and CRM: Amperity, HubSpot, Salesforce
- Commerce: Shopify, BigCommerce

## About the name

"Frequently Bayesian" is a pun on frequentist vs. Bayesian statistics — the two major schools of thought in statistical inference. Most A/B testing tools default to frequentist methods, which is why many "winning" tests don't hold up post-launch. Corey leans Bayesian: updating understanding based on evidence rather than declaring a winner at an arbitrary threshold.

## Contact

Website: https://www.frequentlybayesian.net
LinkedIn: https://www.linkedin.com/in/coreyabramson/
Location: Eugene, Oregon — remote-first, available globally