Analyzing conversions after an email campaign is one of the most underrated stages of email marketing. Many teams stop at open rate and click rate without ever getting to what really matters: what the emails actually delivered for the business. In this article, we'll cover which conversions to track, how to measure them correctly, which tools to use, and how to fix weak spots.

What counts as a conversion in an email campaign

A conversion is the completion of a target action you expect from a subscriber. Examples:

  • a purchase,
  • a lead submission,
  • a registration,
  • a file download,
  • logging into a personal account.

Important: conversion ≠ a click on the email. A click is an action inside the email; a conversion is an action on the website or in the product.

Which conversions to measure

  1. Purchases and orders → How many people bought a product or service after clicking through from the email.
  2. Leads → How many people submitted a request, inquiry, or signed up.
  3. Registrations → How many new users registered.
  4. Downloads → How many times a file was downloaded (a presentation, price list, e-book).
  5. Goal completions in analytics → For example, viewing 3+ pages or filling out a form.

For more details, see the Letteros article on email campaign performance metrics.

How to collect conversion data

  1. Setting up UTM tags Add UTM tags to every link in the email. For example:?utm_source=email&utm_medium=newsletter&utm_campaign=sale
  2. Using website analytics Connect:
  • Yandex Metrica → goal tracking, segments, conversions;
  • Google Analytics → events, ecommerce, funnels.
  1. Importing data into a CRM Collect data on leads that came from the campaign. Match email → purchase.
  2. Email platform tools

How to analyze the results

  1. Compare channels → How many conversions came from email versus social media, search, or ads.
  2. Calculate the cost per conversion → Campaign costs / number of conversions = cost per conversion.
  3. Evaluate the funnel → How many people opened → how many clicked → how many converted.
  4. Analyze segments → Which segments of the list deliver the best conversions: new, loyal, or dormant subscribers.

Problems this analysis often reveals

  • High click rate, low conversion → problems on the website.
  • High open rate, low click rate → weak content.
  • High bounce rate → problems with the list.
  • Unsubscribes and complaints → irrelevant emails.

For more, see the Letteros article on re-engaging inactive subscribers.

How to improve conversions after the analysis

  1. Improve the landing page → Add a call to action, reviews, and a simplified purchase process.
  2. Revisit your segmentation → Don't send the same email to your entire list. Work with segments.
  3. Test the email content → Subject line, offer, button, images.
  4. Automate retargeting → Set up sequences: didn't buy → send a reminder → offer a bonus.

Which tools to use

How to build reports

  1. Choose a period → For example, a week or a month.
  2. Record the metrics → Open rate, click rate, conversions, unsubscribes.
  3. Add comments → Why the metrics went up or down, what you tested.
  4. Share reports with the team → Conclusions → hypotheses → plan for next month.

Great point! Here's a conclusion that will wrap up the article perfectly and strengthen it:

Conclusion

Analyzing conversions after sending an email is a key step that helps turn email marketing from a simple communication channel into a real business growth tool. Without it, all the effort put into content, design, and segmentation risks going unnoticed.

It's important not just to look at open rate or click rate, but to understand what happens after the click, which audience segment delivers the best results, and where the growth opportunities are. Regular analysis helps you find weak spots and systematically improve every campaign.

Use modern tools, record your results, build hypotheses, and implement changes — that way your email campaigns will run on data instead of guesswork.

If you want to dig deeper into the topic, I recommend the Letteros blog article on improving open rate and the guide on working with inactive subscribers.