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.
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
- Ideation: Identify relevant topics
- Planning: Create methodology and timeline
- Data Collection: Conduct surveys or analyze data
- Analysis: Perform statistical analyses
- Graphics: Present results professionally
- 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)
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
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
- Peer Review: Involve external experts
- Transparency: Fully document methodology
- Reproducibility: Make data and code available
- Ethics: Ensure data protection and anonymity
Content Excellence
- Storytelling: Build narratives around the data
- Actionability: Practical recommendations
- Visual Appeal: Professional, attractive design
- Accessibility: Understandable for all target groups
Sustainability
- Updates: Regular updates
- Series: Multiple related studies
- Syndication: Content in various formats
- Partnerships: Long-term collaborations
⚠️ Important Note
Avoid "Cherry Picking" - present all relevant data, not just those that support your hypothesis