After accepting that opens and clicks are no longer pure signals of human behavior, a common reaction emerges: widespread distrust of metrics. This reaction is understandable, but misguided.
The problem is not measuring. The problem is what we choose to measure, how we interpret those signals, and what decisions we make based on them. This article proposes a more mature approach, focused on real impact rather than comfort metrics.
Contents
- The need to redefine the KPI hierarchy
- When a metric becomes a target, it stops being a metric
- The logic of open-rate proportion as a pragmatic response
- Why analytical honesty is a strategic advantage
- Operational adjustments that make a difference
- Metrics as a management tool, not a vanity report
- Conclusion
- Key takeaways
The need to redefine the KPI hierarchy
For years, email marketing metrics were organized by technical proximity, not by proximity to value. Opens came first because they were easy to measure. Clicks came next. Conversion was often relegated to separate reports.
Today, that hierarchy no longer makes sense. In a modern context, the metric closest to real value should lead. Conversion becomes the main reference point. Clicks, when filtered and contextualized, function as intermediate indicators. Opens become merely auxiliary signals, useful for identifying trends but insufficient for making isolated decisions.
When a metric becomes a target, it stops being a metric
This is a classic problem in measurement systems. When a metric becomes a target, the system starts optimizing for the number rather than for the phenomenon it was meant to represent.
In modern email marketing, this manifests clearly. Subject lines are optimized to generate automatic opens. Content is adjusted to maximize quick clicks. The result is a system that produces good numbers and poor outcomes.
The logic of open-rate proportion as a pragmatic response
In an ideal scenario, it would be possible to segment by device before every send and interpret metrics cleanly. In practice, this is not always possible. This is where estimation approaches come into play.
The open-rate proportion strategy starts from a simple premise: if Apple MPP generates near-universal opens, its presence among opens can be used to estimate its presence in the database. By isolating these opens as technical events, we can recalculate a rate that is closer to human reality.
The result is not mathematically perfect, but it is analytically honest.
Why analytical honesty is a strategic advantage
An inflated rate may shine in presentations, but it creates misaligned expectations and poor decisions. A lower estimate, but one closer to reality, allows strategy, messaging and investment to be adjusted accordingly.
Mature teams prefer imperfect numbers that explain behavior over beautiful numbers that hide the truth
Operational adjustments that make a difference
In environments dominated by Apple MPP, it makes sense to abandon flows based on “did not open” and focus on signals of real action. In Gmail, opens can still be useful, provided geolocation is treated with caution. In B2B contexts, it is essential to introduce mechanisms to detect automated clicks, ignore immediate events and protect critical processes such as unsubscribe with additional confirmations.
These adjustments do not eliminate the problem, but they significantly reduce noise and restore coherence to the system.
Metrics as a management tool, not a vanity report
When analysis stops focusing on isolated events and starts observing behavioral patterns over time, metrics regain strategic value. Purchase frequency, funnel progression, retention and cumulative conversion become more relevant than any isolated rate.
At this point, email marketing stops being a channel evaluated by dashboards and becomes a management instrument.
Conclusion
Metrics remain essential, but they are no longer self-explanatory. They require context, interpretation and maturity.
When we stop asking “how many opened” and start asking “what changed in customer behavior”, email marketing definitively moves from vanity to impact.
Key takeaways
- Conversion should lead the interpretation of results.
- Honest estimates are preferable to false precision.
- Clicks and opens only create value when interpreted in the right context.
- Mature metrics support decisions, not egos.