How to Optimize Your Landing Page Using Qualitative User Research

How to Optimize Your Landing Page Using Qualitative User ResearchThis is a guest post from Adam Enfroy. He writes about how to blog like a startup to 450,000 monthly readers at, & teaches his audience of New School Bloggers the tactics he used to scale his blog to $80k/month MRR.

As a product marketer, increasing your landing page conversion rates through optimization has a significant impact on your bottom line.

You spend most of your time running A/B tests and tracking your conversion rates because you’re trying to optimize conversions and prove the ROI of your PPC campaigns.

Nonetheless, you still can’t seem to grasp why your visitors behave the way they do.

So, what’s your solution?

Using qualitative research to understand the reasons behind your visitors’ behavior so that you optimize your landing page and skyrocket your conversion rates.

In this article, I’ll explain the ROI of qualitative research, different methods to conduct it, and how to analyze your research data within your database. I’ll also demonstrate how Process Street’s superpowered checklists can help you perform optimized qualitative user research.

To jump to a specific section of the post click the appropriate link below. Alternatively, just keep scrolling.

Ready? Let’s get started.

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What are P-Values? How to Make Sure Your Hard-Won Data Isn’t Totally Useless

p valueHere at Process Street, we’re always advocating for companies to use data to help in making important decisions.

But data on its own is not massively useful.

I could run an experiment right now and gather loads of data. But if that experiment was run poorly then my data will be poor. Which means any readings of that data will be poor too, leading to poor decisions.

Alternatively, I could run a really well structured piece of research and gather some great data, but if I don’t know how to properly analyze that data then my conclusions won’t be very good.

Simply having large data sets is not enough.

We need to structure our research well and then be able to interpret the results with a degree of rigour. Fortunately, having a good working knowledge of P-Values can help us iron out some alarmingly common mistakes. It can teach us:

  1. How to set up an experiment for meaningful data
  2. The importance of measuring your existing hypothesis against an alternative
  3. When results really are statistically significant, instead of just looking good

This knowledge will help us make better decisions and lead to greater success.

In this Process Street article, we’ll look at 4 key areas:

  • What are P-Values?
  • How do you calculate P-Values?
  • Examples of P-Values in practice – A/B testing
  • Why you need to set up a research process

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How I Research & Write an Article Using Irresistible Original Data

When I was about 7 years old, I made a deliberate decision to stop caring about math.

I remember the moment clearly. I started sitting closer to the back of the class, stopped answering questions, and, eventually, I stopped being asked questions by the teacher.

I told myself that it wasn’t worth learning because we have tools like computers and calculators. Consistently, I got mediocre grades in the topic and only scraped through the finals with a borderline passing grade…

It wasn’t until I started working at Process Street that I cared about data, charts, spreadsheets and correlations.

Research and data manipulation skills are extremely important for pretty much anyone that has to devise their own solutions.

Not only that, studies are incredible marketing tools. Original data attracts links and shares like nothing else because it’s one of the few newsworthy things a company can do. You’ve got product releases, funding announcements, and research.

And it’s not just my own theories that say studies attract high-quality backlinks…

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5 Quick Ways To Discover Hidden Content Ideas with Quora

content ideas

I’d bet that a lot of you use Quora for personal reasons, or maybe even for a little content promotion, but how many of you use it to generate content ideas?

While writing a post about the keyword research process and using Quora to find hidden keywords, I realized what a gold mine the site is for finding out what your market cares about, how you can solve their problem, who the influencers are and loads of other data — at a glance, and totally free.

This is why Quora is your secret weapon for content ideas

For those of you that don’t use Quora, I’ll give you a quick explanation.

Quora is a question and answer site visited by around 80,000,000 people a month who are experts on every subject you can imagine.

The site is divided up into topics. To give you an idea of how niche the knowledge can get, there are entire topics dedicated to questions on Henry FordBirdwatchingMedieval Manuscripts and Elves (Tolkien’s Universe).

Not to mention topics for marketing, podcasting, content writing and other things you’re likely to have an actual interest in! It’s useful as a way for communities to start discussions and help each other out, but Quora is also a well-indexed database of the questions people really want to know.

Here are the 5 quick ways you can use Quora to generate content ideas, get a database of influencers and become an expert in your niche.

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These 5 Data-Driven Reasons Decisively Prove the Benefits of Blogging

Untitled design (10)

In light of a recent study from IZEA commissioned by Halverson Group which revealed that the lifespan of a blog post is 24 times longer than first thought, it’s time to re-evaluate the other reasons why not blogging is a mistake in the current marketing climate.

Contradictory data floods businesses daily. It’s understandable some need hard facts to justify the investment in a blog. That’s just good business sense. Yet, researchers bury vital statistics in 60-page white papers which don’t always reach the audiences that need them.

Thanks to several new studies, the benefits of blogging are out in the open.

Here’s a compilation of recent findings showing the contrasting success of companies that blog versus those that don’t.

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