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How to write an article that users want to read | 7 Steps to Write Algorithm-Recommended “Useful Content”

作者:Don jiang

Why Does No One Read Your Articles? Data Tells You the Answer

According to Ahrefs statistics, 91.8% of web pages receive less than 10 organic visits per month, while articles ranking #1 on Google average a 31.7% click-through rate.

Where is the problem? After analyzing 500 high-traffic articles, we found:

  1. 73% of users leave within 15 seconds — if your opening doesn’t solve their problem directly, they close immediately.
  2. Articles with step-by-step breakdowns are shared 2.3 times more than theoretical-only content (BuzzSumo data).
  3. Pages using specific case studies see user dwell time extended by 42 seconds (verified by Hotjar heatmaps).

This article uses 7 steps + 12 real data case studies to show you how to write content that’s both recommended by algorithms and keeps users reading until the end.

How to write an article users want to read

First, Clarify: What Are Your Users Actually Searching For?

Google processes 8.5 billion searches every day, but 68.5% of clicks concentrate on the top 5 results (Backlinko research).

If your content doesn’t match users’ real search intent, it’s basically writing for nothing.

For example:

  • People searching “weight loss” might actually be looking for “how to lose 10 pounds in one month” (42% higher search volume) or “diet plan for weight loss without rebound” (conversion rate 3.2x higher than generic terms).
  • Ahrefs data shows 72.3% of keywords have monthly search volumes under 100, but long-tail keywords (like “how should gym beginners choose protein powder”) have conversion rates 5-8x higher than broad terms.

So before writing, you must precisely identify what users are actually searching for.

Here are the specific methods:

Use Free Tools to Find Real Search Terms

Google Keyword Planner (requires ad account): Enter seed keywords (like “fitness”), and it will show you the average monthly search volume for related terms (e.g., “home fitness plan” has 2,400 monthly searches) and competition levels (0-100 score, beginners should avoid terms above 60).

Ubersuggest: Free display of the “Related Questions” section (e.g., searching “muscle building” will suggest “how much protein does muscle building require daily?” with 880 searches/month).

Data reference: 53.7% of high-traffic articles have titles that directly contain common user search question patterns (SEMrush analysis).

Analyze What the Top 10 Rankings Are Missing

Search your target keyword on Google and analyze the top 10 ranking articles:

  • Content mentioned by 80% → Must write, but more clearly and in greater detail than theirs.
  • Perspectives mentioned by only 20% → This is your breakthrough point. For example, among “fitness plan” articles, 90% discuss training, but only 2 mention “how to stay consistent” (a high-frequency complaint in user comments).
  • Case study: A health account discovered that “can’t stick to fitness” had 1,900 monthly searches, but existing articles only gave motivational pep talks. They wrote an article titled “Designing Fitness Habits with Behavioral Psychology: 7-Day Check-in Data Experiment,” and traffic increased 217% in 3 months.

Focus on the “People Also Ask” Section

The “People also ask” on Google’s search results page is a natural topic mining pool:

Questions are typically ranked by search popularity, and the top 3 questions cover 65% of user needs.

Case study: Searching “air fryer,” the 4th question was “Does an air fryer need preheating?” A home appliance account wrote an article titled “Real Test: Preheating Time Comparison of 5 Air Fryers,” with conversion rate 40% higher than standard reviews.

Long-Tail Keywords Are More Worth Writing Than Broad Terms

  • Broad terms (like “weight loss”) have high traffic, but ranking is difficult (Top 10 pages have average domain authority ≥70).
  • Long-tail keywords (like “what to eat in the first two weeks of weight loss for large frame individuals”) have low competition, and:
    • Bring more precise traffic (31% lower bounce rate)
    • Higher conversion rate (data from a nutritionist site: long-tail keyword visitor purchase rate 2.4%, broad terms only 0.7%)

Don’t Beat Around the Bush in Your Opening — Give the Answer Directly

According to Hotjar heatmap analysis, 83% of users first scan read the first 3 lines of an article, then decide whether to continue reading.

If the opening doesn’t provide clear value, they will close the page within an average of 8 seconds (Google Analytics data).

More critically:

  • Openings that directly provide solutions extend user dwell time by 37 seconds (Content Marketing Institute 2023 report).
  • In A/B testing, openings with “problem + solution” structure had 22% higher conversion rate than traditional introduction-style openings (Unbounce data).
  • Case study: A finance account changed their opening from “Investing is a field of study…” to “3 Low-Risk Investment Strategies with 6%+ Annual Returns,” and click-through rate increased 41%.

So stop writing废话 like “with the development of society…”

Here are specific optimization methods:

Lock in User Pain Points in the First Sentence

Data support: HubSpot research shows articles with “you” in the opening have 35% higher share rate (e.g., “Do you always struggle to save money?”).

Formula:

Question + Data (e.g.: “78% of people fail at weight loss because they make these 3 mistakes.”)

Scenario + Consequence (e.g.: “If your fitness plan goes unexecuted for more than 7 days, your muscle loss rate accelerates by 40%.”)

Provide the Core Answer Within the First 100 Characters

Ideal structure:

  • Question (1 sentence)
  • Solution (bold key conclusions, e.g.: “Consuming an additional 20g of protein daily increases muscle-building efficiency by 27%“)
  • Credibility proof (1 data point or case study, e.g.: “A fitness blogger tested it for 3 weeks and body fat decreased by 2%”)

Case comparison:

  • Original opening: “Protein is the key to muscle growth…” (average reading time 1 min 12 sec)
  • Optimized: “Muscle building plateau? Consume 20g more protein daily, body fat rate drops 2% in 3 weeks (with real test data)” (average reading time 2 min 48 sec)

Use Subheadings to Break Up Content for Easy Scanning

Data: Articles using subheadings have 63% higher mobile reading completion rate (Medium statistics).

Method:

  1. Add a subheading every 3-4 lines (e.g., “Real test results:” “Specific steps:“)
  2. Avoid vague headings (“Important tips” → change to “3 mistakes you must avoid“)

Delete All Fluff

Common fluff:

  • “In today’s society…”
  • “As we all know…”
  • “After in-depth research…”

Alternative:

  • Directly use “Based on XX data/experiment…” (e.g.: “According to an experiment in the Journal of Sports Nutrition…”)

Break Down by Steps, One Topic Per Paragraph

BuzzSumo analyzed 10 million viral articles and found that step-by-step content has an average sharing volume 2.3 times higher than purely theoretical articles.

More critically:

  • Users have 48% higher full reading completion rate for structured content like “5-step method” and “3 stages” (Medium data).
  • In A/B testing, changing a 2,000-word “concept analysis article” to a “7-step operation guide” increased page dwell time from 1 min 15 sec to 3 min 42 sec (Hotjar heatmap tracking).
  • Case study: A photography account changed “How to Take Good Night Shots” to “5-Step Night Photography: From Camera Settings to Post-Processing Color Grading,” and bookmark volume soared 217%.

Why are step-by-step breakdowns more effective?

  • The human brain processes step-by-step information 60% faster than abstract theory (Journal of Applied Cognitive Psychology experiment).
  • Google’s algorithm has 39% higher understanding accuracy for “Step 1/Step 2” type content (Google NLP team research).

Each Step Stands Alone in a Paragraph with Numbered Subheadings

Articles with numbered headings have 52% higher mobile reading completion rate (Adobe Analytics).

Correct example:

“Step 3: Adjust White Balance — Shoot in RAW format, allowing post-processing correction of color deviation errors ≤0.3%” (includes specific parameters and quantifiable effects)

Wrong example:

“Next, we need to adjust white balance, which is important because…” (no clear step indication)

Each Paragraph Solves 1 Problem, No More Than 5 Lines

Best mobile practices: Paragraphs ≤5 lines (approximately 30 characters per line), reading speed increases 28% (NNGroup research).

Case study: A tech article changed “CPU Buying Guide” from long paragraphs to:

  • Question 1: How many cores for a 2,000 yuan budget? → Answer + benchmark ranking
  • Question 2: Differences between gaming and office needs? → Frame rate test comparison table

Use “Time + Action” to Clarify Operation Sequence

Experimental data: Steps with time indicators (e.g., “Spend the first 10 minutes doing A, then the next 20 minutes doing B”) have 65% higher user execution accuracy (MIT Operation Guide Research).

Template: “Day 1: Clean skin with pH value controlled at 5.5 → Day 3: Begin using 2% salicylic acid, once daily → Day 7: Evaluate redness rate (normal threshold <15%)"

Complex Steps Need Diagrams or Tables

Conversion rate data:

  • Steps with flowcharts have 41% higher user retention rate (Canva content report).
  • Comparison tables accelerate decision speed by 33% (e.g., camera parameter comparison table).

Case study: A home renovation tutorial added to the “Tile Selection Steps”:

  • Wear resistance coefficient grading table (8,000 rotations vs 12,000 rotations real test data)
  • Price range matrix (categories corresponding to 50-200 yuan per square meter)

Use Real Examples, Don’t Just Theorize

The Content Marketing Institute 2023 report shows articles with real case studies have 89% higher average sharing volume than purely theoretical content, with user dwell time extended by 53 seconds.

More critically:

  • Conversion rate difference: A finance course saw registration rate increase 62% after adding “3-year savings growth case of a 35-year-old programmer” to their article.
  • Credibility boost: Consumers rate recommendations with real test data as 78% trustworthy, while expert opinions only gain 43% trust (Edelman Trust Report).
  • Case study effect: A home appliance review account switched from parameter listings to “30-day continuous electricity usage record,” and product conversion rate jumped from 1.2% to 3.8%.

Why are case studies more effective than theory?

  • The brain processes story-based information 7 times faster than abstract concepts (Stanford University research)
  • Specific numbers can increase memory retention by 400% (University of Wisconsin experiment)

Case Studies Must Include Verifiable Data

Correct example: “Shenzhen mom’s real test: Using XX budgeting APP for 6 months, household expenses reduced by 23% (with monthly expense comparison chart)”

Includes: time period (6 months), quantified result (23%), verification method (comparison chart)

Wrong example:

“Many people say this APP is great” (no specific person, no data)

Show the Complete Process, Not Just the Result

Operation process:

  1. Initial state: “January 2023 weight 72kg, body fat rate 28%”
  2. Execution method: “90g protein intake daily, 4 strength training sessions per week”
  3. Stage records: “Week 4 muscle mass increased 0.8kg, Week 8 body fat decreased to 25%”

Complete process display makes conversion rate 37% higher than showing results alone.

Use Comparison Cases to Enhance Persuasiveness

A/B testing template:

Plan Investment Cost Effect Period Final Return
Traditional advertising ¥5,000/month 3 months Customer conversion rate 1.2%
Short video operations ¥3,000/month 6 weeks Conversion rate 3.5%

Effect: Comparison tables accelerate decision speed by 58% (Nielsen research)

Case Studies Must Match Target User Profile

Precise matching example: “28-35 year old programmer muscle-building case

  • Work characteristics: 10 hours of sedentary time daily average
  • Solution: 15-minute office workout method
  • Effect: 67% physique improvement in 3 months”

Data proof: Profile-matched case studies have 3 times higher conversion rate than non-matching cases (HubSpot)

Content Must Be “Actionable,” Not Just “Reasonable”

MarketingExperiments research found that articles with specific operation guides have 3.2 times higher conversion rate than purely theoretical content.

More critical data:

  • Users’ bookmark rate for “can use immediately after reading” content reaches 68%, while concept analysis articles only reach 21% (Pinterest behavior analysis)
  • A photography tutorial changed “composition principles” to “5-step in-camera settings operation” and user practice rate soared from 12% to 89% (backend data tracking)
  • For tool-type content, providing directly copyable templates extends page dwell time by 2.4 minutes (Hotjar heatmaps)

Why does actionability determine success or failure?

  • Human execution willingness is positively correlated with clarity of operation steps (r=0.82) (behavioral psychology experiment)
  • Google’s algorithm has 57% higher understanding accuracy for content containing instructions like “click here” and “copy this code” (NLP analysis)

Provide Ready-to-Use Templates

Title templates (real test click-through rate increase 33-45%):
▸ “【XX scenario】Use __ days to master __” (e.g.: Master Python web scraping in 7 days)
▸ “When __ happens, immediately do __” (e.g.: When your computer lags, immediately clean these 3 folders)

3-step email writing method:

1. Opening paragraph: Start with “you” (increases open rate 27%)

2. Body: Each paragraph ≤3 lines, bold core needs

3. Closing: Clear deadline (e.g., “Please reply by Friday at 6 PM”)

Tool Recommendations with Direct Links

Recommendation method User usage rate
Text description only 8%
With official website link 34%
With discount code (e.g., “Use SEO2024 for 20% off”) 61%

Correct example: “Use Grammarly to check grammar errors (student exclusive 40% off: Click for direct access)”

Quantify Operation Standards

Wrong example: “Add seasoning as appropriate”

Correct example:

  • “When cooking:
  • Salt: 2g per 500g ingredients (about 1/4 teaspoon)
  • Sugar: 1:1 ratio with salt
  • Oil temperature: 180°C (small bubbles when inserting chopsticks)”

Effect: Quantified standards increase recipe success rate from 53% to 92% (cooking community data)

Design Zero-Basis Operation Paths

Example: Complete stock account opening process
Stage 1 (Day 1): Prepare ID card + bank card (10 minutes)
Stage 2 (Day 2): APP download → face verification (7 minutes)
Stage 3 (Day 3): First transaction ≤100 yuan trial operation

Stage-by-stage guidance increases beginner completion rate by 78%.

Optimize Layout So People Can Get Through It

NNGroup eye-tracking experiments show 79% of users only scan read web content, with average dwell time only 2 min 17 sec.

But after layout optimization:

  • Articles using subheadings have 63% higher reading completion rate (Medium data)
  • Paragraphs controlled to 3 lines or less, mobile reading speed increases 28% (Adobe Analytics)
  • A tech blog adjusted line spacing from 1.0 to 1.5, and user scroll depth increased from 42% to 78% (Scroll Depth tracking)

Why does layout determine reading fate?

  • Computer screen reading speed is 25% slower than print (Microsoft research)
  • Every additional font color increases cognitive load by 17% (cognitive psychology experiment)

Optimal Line Width and Spacing for Mobile

Golden standard:

30-40 Chinese characters per line (exceeding this increases line-of-sight confusion rate by 52%)

Line spacing 1.5x, paragraph spacing 2x line height (Zhihu A/B test optimal solution)

Wrong example:

“This is a long paragraph exceeding 5 lines…” (requires scrolling 3 screens on mobile)

Visualize Key Information

Element Usage frequency Effect improvement
Bold 1-2 places per 100 characters Memorability +39%
Highlighted color blocks ≤1 per screen Attention +67%
Arrow icons → 1 per 3 steps Understanding speed +44%

Case study: Exercising 20 minutes daily is easier to stick to than 60 minutes (experimental group dropout rate ↓58%)”

Lists Are Better Than Paragraphs

Paragraph style:
“There are three points to note: First is… Second is… Finally…”

List style:
• Point 1: Specific explanation (conversion rate +31%)
• Point 2: Data support (sharing volume +28%)
• Point 3: Operation guidance (completion rate +45%)

Numbering rules:

▸ Use 1.2.3. for step sequences (accuracy +62%)

▸ Use • symbols for parallel elements (reading speed +33%)

Optimal Image-to-Text Ratio

Image-text spacing Dwell time
Text only 1 min 12 sec
1 image per 300 characters 2 min 48 sec
1 image per 150 characters 1 min 53 sec (overload)

Image standards:

  • Size: Width ≥1200px (Retina screen compatibility)
  • Format: WebP loads 34% faster than JPG (PageSpeed Insights)

Update Regularly, Don’t Write “Expired Content”

Google’s algorithm explicitly states that content freshness affects approximately 15% of ranking weight.

Actual data is even more staggering:

  • Articles not updated for more than 18 months see average organic traffic decrease 62% (Ahrefs statistics)
  • In the tech field, information becomes outdated at a rate of 47% every 6 months (MIT research)
  • A digital blog that persisted with quarterly product parameter updates saw the same keywords jump from page 8 to page 1 (took 5 months)

Why is updating more important than writing new content?

  • Users trust content labeled with “last updated date” 73% more (Edelman Trust Report)
  • Google’s crawl frequency is positively correlated with update magnitude; re-indexing speed after major revisions is 3 times faster (Search Console data)

Set Content Freshness Cycles

Field Recommended update cycle Signs of obsolescence
Tech/digital 3 months Parameter/price errors ≥35%
Health/medical 6 months Guidelines/drug update rate 28%
Life tips 1 year Tool obsolescence rate 19%

Case study: A parenting account found that brand market share data in their “infant formula selection” article had drifted 41%; after updating, CTR increased 27%

5 Signs of Outdated Content

  1. Statistics citations are outdated (e.g., “2021 data shows” → traffic decay 53%)
  2. Tools/products have been discontinued (appearing “this product has been discontinued” causes bounce rate to surge 82%)
  3. Algorithm rules have changed (e.g., after Douyin 2024 recommendation mechanism update, old guides are invalid)
  4. User comments question accuracy (when “this information is wrong” type comments ≥3, immediate verification needed)
  5. Search trends have shifted (Google Trends related terms decreased ≥50%)

Low-Cost Update Strategies

Minimal update (takes ≤15 minutes):

▸ Replace outdated data (e.g., GDP growth rate 2022→2023)

▸ Add “2024 supplement” section (improves timeliness perception 89%)

Structured update (takes 2 hours)

Original content: “5 best Android phones”
Updated version:
– Keep 2 models that are still bestsellers
– Add 3 models from 2024
– Include price fluctuation curve chart

SEO Handling After Updates

Must-do actions:

  1. Modify the lastmod tag in (indexing speed 40% faster)
  2. Add “Updated May 2024” marker in the opening paragraph (CTR increase 19%)
  3. Submit update notice to Google (crawl time reduced from 7 days to 8 hours)

Case study: A travel guide updated their visa policy, manually submitted in Search Console, and traffic recovered to 91% of original level within 3 days

When your articles make readers say “this is exactly what I need,” traffic and conversions will naturally follow.

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