[EN] Statistics & analysis

Important notice

The analytics features of the eworx Marketing Suite help you measure the success of your campaigns. You will learn how to interpret key performance indicators, use rankings and carry out analyses that comply with data protection requirements.


Use the various analysis features to understand, compare and optimise your newsletter campaigns in a targeted manner. Depending on your data protection settings, reports with different levels of detail are available.

1. Campaign statistics
Understand and evaluate key figures
  • Analyse open rates and click-through rates
  • Measure mailing success and subscriber responses
  • Identify trends and optimise campaigns
Find out more →
2. Ranking analysis
Identify the most popular content
  • Identify top content and top links
  • Understand the subscriber group's interests
  • Identify successful topics for future campaigns
Find out more →
3. Anonymised statistics
Evaluate in a data-protection-friendly manner
  • Analyses without personal data
  • Compliance with data protection requirements (e.g. GDPR)
  • Focus on trends and overall performance
Find out more →

Key figures at a glance

Delivery
Emails successfully delivered.
Open rate
Proportion of subscribers who opened the email.
Click-through rate
Proportion of subscribers who clicked on a link.
Unsubscriptions
Subscribers who unsubscribed from the newsletter.
Bounces
Emails that could not be delivered.
Conversions
Achieved goals such as registrations, purchases or downloads.
Please note: Due to data protection measures and email programmes, open rates may sometimes be inaccurately reported. The click-through rate is therefore often a mo remeaningful metric.

Best Practices

  • Always compare key figures across several campaigns.
  • Bewerten Sie Öffnungs- und Click-through raten im Zusammenspiel.
  • Use the ranking analysis to optimise your content.
  • Regularly test subject lines, sending times and content.
  • Consider data protection requirements and select the appropriate statistics option.

Frequently asked questions

Which key figure is most important when evaluating a campaign?

A single metric is usually not enough to provide a reliable assessment. Always consider delivery rates, open rates, click-through rates, unsubscriptions and conversions together.

Warum kann die Open rate ungenau sein?

Email programs and privacy features may automatically load images or prevent them from loading. As a result, opens may be counted even though an email was not actively read, or actual opens may remain undetected.

Warum ist die Click-through rate häufig aussagekräftiger?

A click indicates a specific response to a piece of content or a link. For this reason, the click-through rate often provides a more reliable indication of the subscribers’ actual interest.

How can campaigns be compared meaningfully?

Where possible, compare campaigns with a similar target group, mailing type and objective. Individual values should always be assessed across several mailings.

What does the ranking analysis show?

The ranking analysis shows which content and links were clicked particularly often. This helps you identify your subscriber group's interests and plan future campaigns more effectively.

When should anonymised statistics be used?

Anonymised statistics are suitable when analyses without personal data are required. They focus on aggregate figures and trends rather than on individual subscribers.



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