In 《Midjourney Tutorial for Beginners》, we covered Midjourney’s basic setup, commands, parameters, and image generation methods. This article will introduce more advanced techniques to help generate images that better match your expectations.

Advanced Prompt Parameters

Quality

The --quality or --q parameter enhances image details without increasing resolution:

• Default value: 1
• Acceptable values: 0.25, 0.5, 1 (Values above 1 default to 1)

Stylize

Lower Stylize values produce literal interpretations, while higher values increase artistic interpretation:

Basic Settings

Sending the /settings command to Midjourney Bot reveals configurable options:

Model Version Control

The first dropdown menu selects Midjourney’s image generation models, which differ in artistic tendencies and parameter compatibility:

• Midjourney Model: Native model for photorealistic and stylized images. Default version is V6.1.
• Niji Model: Collaborative model with SpellBrush, optimized for anime/illustration styles. Current version: V6.

Stylization Control

The second row controls artistic interpretation strength (higher values = more stylized results):

Why Is User Quality Assessment Critical?

The core competition in digital marketing has shifted from “acquiring traffic” to “screening high-quality users.” With rising traffic costs and increasingly complex user behavior, blindly pursuing user quantity leads to resource waste: Low-quality users may generate short-term clicks but fail to deliver long-term returns (e.g., fake clicks, coupon abuse). By evaluating user quality, businesses can precisely identify high-value segments, allocate budgets to conversion-ready users, and avoid ineffective spending.

Why Must We Distinguish Cohort from Non-Cohort?

If we compare user behavior analysis to marathon analytics:

• Cohort Analysis tracks the same group of runners throughout the race (e.g., “What percentage of users who joined in March completed the marathon?”)
• Non-Cohort Analysis captures real-time snapshots of all runners (e.g., “Current number of participants on the track”)

An e-commerce platform made a critical error by using non-cohort analysis to observe a “15% increase in click-through rate on the redesigned page” and immediately rolled it out globally. Three months later, core user repurchase rates plummeted by 20% - the new design attracted transient clickers while confusing loyal users who couldn’t find essential functions. This “illusion of averages” exemplifies the disaster caused by conflating analytical methods.

I have been suffering from the index of website pages. I have published new articles, but the number of pages not indexed has increased. So I used SEMrush to audit the website as a whole and made some corrections for specific problems to see if the index situation will improve.

The Site audit function is used. After entering the domain name and setting the number of pages to crawl, wait for about ten minutes and you can get an analysis report:

Landing page design is an integral part of website optimization and marketing activities. Among all the elements that enhance user interaction, Webform plays a key role. Whether it is collecting potential customer information, obtaining user feedback, or driving sales, the layout and design of Webform directly affect the conversion rate. This article will explore in depth how to create an efficient landing page by optimizing form design and page layout.