Email A/B Testing & Performance Reporting
Testing without a hypothesis is guessing with extra steps. We run structured tests and report in revenue, not open rates.
What is included
Email A/B Testing & Performance Reporting, in detail
Test programme
A prioritised backlog of hypotheses rather than random subject-line tests.
Statistical rigour
Tests run to a decision, with results that are not read too early.
Flow testing
Timing, sequence length and incentive levels tested inside automations.
Reporting
Revenue per recipient, flow versus campaign split, list growth and deliverability in one monthly view.
Documented learnings
A running record of what worked, so the same test is not repeated next year.
How we work
Four steps, no surprises
- ConsultationWe learn the business and what success looks like.
- Audit & scopeA written plan: what we build, in what order, at what cost.
- BuildDelivered in stages you review as we go.
- SupportMonitoring and iteration once it is live.
Questions
Frequently asked
Are open rates still useful?
Only directionally. Apple Mail Privacy Protection inflates them badly, so we report on clicks and revenue.
How long should a test run?
Until it reaches significance or a pre-agreed stop date. Calling a test after a few hours is how false wins happen.
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