The Complete Guide: How to do Conversion Optimisation Research Step-by-Step (part 2)

October 20, 2020

Magda Founder & Head of Strategy
Read more Read more Magda started marketing for friends by stealing candies from her mom’s shop to distribute. She now does the grown-up thing and studies data science at Oxford University. She’s quite overfocused on marketing, statistics, and data. Between that and her hobbies in learning genetics, understanding psychology, doing exercise, and watching pandas, she doesn’t have much time left for the latest movies. Throw a Harry Potter her way – and super-educated Magda won’t get it at all.
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One step further

The first half of our guide focuses on quantitative research as an essential part of the conversion optimisation research process. Following each of its steps should give you the tools and the knowledge to set up your website tracking correctly and to understand the data and the behavioural patterns of your website visitors.

But numbers and data can only get you so far. In-depth insights into who your customers are and what are their drives, pains, gains, and expectations can ultimately help you deliver better products, services or experiences. That’s exactly why the second half of our guide takes you further, beyond online behaviour, and nearer to what customers really care about.

What do customers really care about?

Using compelling examples, we analyze why qualitative research is a great starting point for actionable solutions and we look closely at each of the following steps:

• UX analysis

• Feedback, attitudes, opinions assessment

• Competitor research

• Business Persuasive Assets

• Customers Profiles Design (pains, gains, jobs definition)

This blog post published on the GetUplift Blog completes our overview of conversion optimization research.

Once you master both the qualitative and the quantitative wizardly optimization powers, let us know how you plan on using the two facets of the same process.

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Author

Magda Founder & Head of Strategy
Read more Read more Magda started marketing for friends by stealing candies from her mom’s shop to distribute. She now does the grown-up thing and studies data science at Oxford University. She’s quite overfocused on marketing, statistics, and data. Between that and her hobbies in learning genetics, understanding psychology, doing exercise, and watching pandas, she doesn’t have much time left for the latest movies. Throw a Harry Potter her way – and super-educated Magda won’t get it at all.
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