Original Research

Original Research refers to the creation of your own unique studies, surveys, or data collections that provide new insights on a specific topic. In the SEO context, Original Research serves as a powerful link building tool, as high-quality, data-driven content is eagerly linked to and cited by other websites.

Content Type
Link Potential
Effort
ROI
Original Research
Very High (3-5x)
High
Excellent
Content Marketing
Medium
Medium
Good
Standard Blog Posts
Low
Low
Medium

Benefits of Original Research for SEO

1. High Link Attractiveness

Original Research generates on average 3-5x more backlinks than conventional content, because:

  • Unique data is difficult to replicate
  • Journalists and bloggers rely on fresh statistics
  • Studies are considered trustworthy sources

2. Building Authority and Expertise

  • Positions your company as a thought leader
  • Increases Domain Authority through high-quality backlinks
  • Creates trust with customers and partners

3. Long-term SEO Benefits

  • Content remains relevant for years
  • Continuously generates organic traffic
  • Creates evergreen content assets

ROI of Original Research

Average results after 12 months:

  • Link Generation: 150-300% increase
  • Traffic Growth: 200-400%
  • Domain Authority: +15-25 points

Types of Original Research

1. Surveys and Studies

Purpose: Capture opinions, behavior, and trends

Examples:

  • Customer behavior in the industry
  • Technology adoption rates
  • Market trends and forecasts

Implementation:

  • Define target audience (minimum 500 participants)
  • Formulate questions professionally
  • Evaluate data statistically

2. Data Analysis Studies

Purpose: Analyze existing datasets and gain new insights

Examples:

  • Website performance analyses
  • Social media engagement studies
  • E-commerce trends

Implementation:

  • Collect large datasets (10,000+ data points)
  • Apply statistical methods
  • Identify significant patterns

3. Experimental Research

Purpose: Test hypotheses and uncover causal relationships

Examples:

  • A/B tests with meaningful results
  • Usability studies
  • Conversion optimization experiments

Original Research Process

  1. Ideation: Identify relevant topics
  2. Planning: Create methodology and timeline
  3. Data Collection: Conduct surveys or analyze data
  4. Analysis: Perform statistical analyses
  5. Graphics: Present results professionally
  6. Publication: Create content and promote

Planning and Implementation

Phase 1: Topic Discovery

Criteria for successful research topics:

  • Relevance to your target audience
  • Currency and trend connection
  • Measurable aspects available
  • Industry-specific relevance

Idea Sources:

  • Customer feedback and questions
  • Industry trends and discussions
  • Competitor analyses
  • Google Trends and search queries

Phase 2: Develop Methodology

Survey Design:

  • Clear, neutral questions
  • Multiple choice and open questions
  • Demographic segmentation
  • Ensure anonymity

Data Analysis Approaches:

  • Descriptive statistics
  • Correlation analyses
  • Regression models
  • Significance tests

Phase 3: Data Collection

Conduct Surveys:

  • Use professional survey tools
  • Target audience specifically
  • Offer incentives for participation
  • Collect at least 500-1000 responses

Data Sources for Analyses:

  • Public APIs
  • Web scraping (legal and ethical)
  • Partner databases
  • Own company data

Research Quality Assurance

  • ✓ Sample size at least 500 participants
  • ✓ Methodology fully documented
  • ✓ Statistical significance proven
  • ✓ Peer review by external experts
  • ✓ Data anonymized and GDPR compliant
  • ✓ Reproducibility ensured
  • ✓ Ethics guidelines followed
  • ✓ Transparency about limitations

Content Creation and Visualization

Data Visualization

Important Chart Types:

  • Bar charts for category comparisons
  • Line charts for trends
  • Pie charts for proportions
  • Heatmaps for correlations

Design Principles:

  • Clear, readable labels
  • Consistent color palette
  • Mobile-optimized display
  • Follow accessibility standards

Content Formats

Main Study:

  • Executive Summary
  • Methodology documentation
  • Detailed results
  • Conclusions and recommendations

Additional Content:

  • Infographics for social media
  • Blog posts on individual results
  • Press releases
  • Webinar presentations

Content Distribution Strategy

Main Study

Website, press release, trade media

Infographics

Social media, industry forums, LinkedIn

Blog Posts

Own website, guest posts, Medium

Webinars

Live presentations, recordings

Promotion and Outreach

PR Strategy

Press Releases:

  • Highlight newsworthy insights
  • Find industry-relevant angles
  • Target journalists specifically
  • Consider timing (not on holidays)

Journalist Outreach:

  • Personalized emails
  • Offer exclusive data
  • Create interview opportunities
  • Follow up systematically

Digital PR

Social Media:

  • Teaser posts before publication
  • Live tweeting of results
  • Influencer collaborations
  • Hashtag campaigns

Content Seeding:

  • Industry forums and communities
  • LinkedIn groups
  • Reddit subreddits
  • Trade publications

Promotion Campaign (4 weeks)

Week 1: Press release, journalist outreach
Week 2: Social media campaign, influencers
Week 3: Content seeding, trade media
Week 4: Follow-up, measurement, optimization

Measurement and Optimization

KPIs for Original Research

Link Metrics:

  • Number of generated backlinks
  • Domain Authority of linking pages
  • Anchor text diversity
  • Link velocity

Traffic Metrics:

  • Organic traffic to the study
  • Time on page
  • Bounce rate
  • Conversion rate

Engagement Metrics:

  • Social shares
  • Study downloads
  • Media resonance
  • Citations and mentions

Long-term Monitoring

Content Performance:

  • Ranking development for target Target Words
  • Traffic trends over time
  • Link growth rate
  • Content decay analysis

ROI Calculation:

  • Costs of research creation
  • Generated link value
  • Traffic monetary value
  • Brand awareness impact
Industry
Average ROI
Link Generation
Traffic Growth
E-Commerce
350%
200-400 Links
300-500%
SaaS
280%
150-300 Links
250-400%
Fintech
420%
300-500 Links
400-600%
Healthcare
180%
100-200 Links
150-250%

Avoiding Common Mistakes

Methodological Errors

  • Too small sample sizes
  • Biased questions
  • Missing control groups
  • Insufficient statistical significance

Content Errors

  • Poor data visualization
  • Unclear conclusions
  • Missing methodology transparency
  • Exaggerated claims

Promotion Errors

  • Too early or late publication
  • Unpersonalized outreach
  • Missing follow-up strategy
  • Neglecting post-processing

💡 Pro Tip

Use external experts for statistics and methodology to increase credibility

Tools and Resources

Survey Tools

  • SurveyMonkey: Professional surveys
  • Typeform: Interactive forms
  • Google Forms: Free basic solution
  • Qualtrics: Enterprise surveys

Data Analysis Tools

  • R: Statistical analyses
  • Python: Data science and machine learning
  • SPSS: Professional statistics
  • Excel: Basic analyses

Visualization Tools

  • Tableau: Professional dashboards
  • Power BI: Microsoft ecosystem
  • Canva: Simple infographics
  • D3.js: Custom visualizations

PR and Outreach

  • HARO: Journalist outreach
  • Muck Rack: Media contacts
  • BuzzStream: Link building management
  • Ahrefs: Backlink monitoring

Research Tool Stack (12 essential tools)

Surveys

SurveyMonkey, Typeform, Google Forms, Qualtrics

Analysis

R, Python, SPSS, Excel

Visualization

Tableau, Power BI, Canva, D3.js

Best Practices and Success Factors

Quality Assurance

  1. Peer Review: Involve external experts
  2. Transparency: Fully document methodology
  3. Reproducibility: Make data and code available
  4. Ethics: Ensure data protection and anonymity

Content Excellence

  1. Storytelling: Build narratives around the data
  2. Actionability: Practical recommendations
  3. Visual Appeal: Professional, attractive design
  4. Accessibility: Understandable for all target groups

Sustainability

  1. Updates: Regular updates
  2. Series: Multiple related studies
  3. Syndication: Content in various formats
  4. Partnerships: Long-term collaborations

⚠️ Important Note

Avoid "Cherry Picking" - present all relevant data, not just those that support your hypothesis

Related Topics