Marketing ops

Email best practices & Notion build

Researched, built, and operationalized a comprehensive email operations system — replacing guesswork with data-backed decision-making across four markets.

Notion Research Email ops A/B testing Analytics

Role: Marketing lead (sole owner) Company: Amae Health 2026

Problem

The team was moving fast — building campaigns, sending outreach, launching in new markets — but nobody was tracking what was actually working. Emails were going out without benchmarks, without A/B testing, and without a system for measuring outcomes against goals.

As a marketing team of one, I needed a way to not only implement best practices myself, but to create shared awareness across the team. Every change or recommendation I made needed to be grounded in data — not opinion — so the system had to both track performance and educate the team on why specific decisions were being made.

Process

I researched industry benchmarks, documented operational standards, and built a living Notion workspace that the growth team could reference and contribute to.

Research Industry benchmarks & best practices Compiled data-backed guidelines across subject lines (1–8 words optimal, question-based lines drive 10–21% higher open rates), email length by type (cold outreach: 75–150 words, newsletters: 250–400), delivery timing (Tue–Thu, 9AM–4PM for healthcare B2B), cadence rules, and formatting standards. Every recommendation was sourced and cited.

HubSpot Mailchimp Woodpecker Industry data

Build Notion workspace & tracking system Built a structured Notion hub with modular "courses" — subject line strategy, email formatting guidelines, delivery timing, and a clinician-first language framework. Added an email scheduling calendar, assignments tracker, pre-send checklist, and per-market open rate dashboards with benchmark status indicators and conditional next steps.

Notion databases Scheduling calendar Checklist system Market dashboards

Operate A/B testing & performance tracking Began systematically A/B testing subject lines across markets and tracking results week over week. Logged campaign performance — deliveries, open rates, click rates — by market and variant, creating the feedback loop the team had never had. Used results to justify changes and iterate on messaging.

A/B testing Weekly tracking Market segmentation

Outcome

Open rates by market (week of Feb 23, 2026)

Bay Area

52%

Passed

Los Angeles

40%

Passed

Raleigh

30%

Passed

New York

—

Upcoming

A/B test results — weekly availability email

Bay Area — Subject A

52.1%

Bay Area — Subject B

53.4% Winner

Raleigh — Subject A

31.9% Winner

Raleigh — Subject B

29.2%

Los Angeles

33.9%

System

Best practices hub

Living Notion workspace with modular courses — subject lines, formatting, delivery timing, clinician-first language — plus a pre-send checklist and scheduling calendar.

System

Performance tracker

Per-market open rate dashboards with benchmark status, A/B test logging, and conditional playbooks for when metrics fall below target.

This system replaced gut-feel decision-making with a data-backed feedback loop. Every campaign now has benchmarks, every subject line gets tested, and every recommendation is justified by performance data — giving a marketing team of one the credibility and clarity to drive change across the organization.