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Through
our lens.

How we see email marketing, one campaign at a time.

Phones showing email campaigns, illustrating the idea of comparing your own sends to each other rather than to an industry benchmark
Landscape

Industry email benchmarks: 5 reasons to compare yourself to yourself

Industry email benchmarks tell you where the average sender sits, not whether your last campaign was any good. For opens, clicks, and conversions, the only honest comparison is you against you. Here's why, and how to run it.

14 min read
5 ActiveCampaign reporting limitations marketers hit in 2026
Comparison

5 ActiveCampaign reporting limitations marketers hit in 2026

ActiveCampaign is a strong sender. But once operators get past the basic campaign report, five specific gaps keep showing up in our calls, and each one has the same shape: the answer lives outside the ESP.

7 min read
Newsletter vs promotional email: why the same benchmarks mislead both
Product

Newsletter vs promotional email: why the same benchmarks mislead both

The single most common mistake we see in email analytics is comparing a newsletter to a flash sale and treating the gap as performance. Clusters fix the apples-to-apples problem without asking marketers to redo their taxonomy by hand.

5 min read
The email marketing analytics gap: by design, not by accident
Landscape

The email marketing analytics gap: by design, not by accident

Email platforms are very good at sending email. They're less good at telling you why one email outperformed another. That isn't an accident. It's a consequence of what they were built for.

6 min read
Email automation analytics: why a flow is a sequence, not a list
Landscape

Email automation analytics: why a flow is a sequence, not a list

Most analytics treat the emails in an onboarding flow as independent campaigns. That's the wrong unit of analysis, and it hides the one question automation teams actually need answered.

4 min read
Why most email A/B tests don't teach you anything
Landscape

Why most email A/B tests don't teach you anything

A/B testing is the default answer to "what should we try next." It also quietly rewards noise as if it were insight. Here's why most email A/B tests teach almost nothing, and what actually produces learning.

6 min read