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title: Identify opportunities through your data
description: 4 concrete scenarios to detect SEO opportunities in the Data Explorer
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# Identify opportunities through your data
## 4 concrete scenarios to detect SEO opportunities in the Data Explorer
Table of contents
---
[Analyze your data with Intelligence Hub](https://help.semji.com/en/identify-opportunities-through-your-data#Analyze)
[Scenario 1](https://help.semji.com/en/identify-opportunities-through-your-data#scenario1)
[Scenario 2](https://help.semji.com/en/identify-opportunities-through-your-data#scenario2)
[Scenario 3](https://help.semji.com/en/identify-opportunities-through-your-data#scenario3)
[Scenario 4](https://help.semji.com/en/identify-opportunities-through-your-data#scenario4)
[Best practices](https://help.semji.com/en/identify-opportunities-through-your-data#bestpractices)
### Analyze your data with Intelligence Hub
Data Explorer is Intelligence Hub’s tactical analysis tool. It helps you start from a macro view (charts and breakdowns) and drill down to a list of actionable URLs and keywords so you can create or optimize your content.
In this article, discover 4 concrete scenarios to quickly identify SEO opportunities from your data.
#### Prerequisites
Before you start, make sure that:
- Your site and your competitors are configured.
- You know which scope to analyze (non-brand / brand, country, period, etc.).
### Scenario 1: Spot content opportunities among competitors (from report to keyword list)
Goal: start from a strong signal in charts (traffic increase, accelerated URL production, dominance in a breakdown) and end up with a short list of keywords + pages to replicate or differentiate.
#### 1) Find a signal in the Report screen
1. Filter Traffic type = Non-brand to focus on acquisition.
2. Enable comparison (competitor panel) if available.
3. Identify an interesting signal in the charts:
- Organic traffic trend: a competitor accelerates over a period.
- Trend in number of pages produced: a competitor “scales” (strong URL creation).
- Traffic by themes / personas / stages: a competitor dominates a segment.
- Traffic by page types: a format overperforms (Article, Product, Landing, etc.).
4. Click the most relevant area of the chart to open Data Explorer.
#### 2) Switch to detailed exploration and qualify the opportunity
1. Frame the extraction with filters consistent with your chart:
- Website = competitors (excluding your domain)
- Traffic type = Non-brand
- Add 1 to 2 dimensions max: Theme, Persona, Funnel stage, Page type, Keyword length.
2. Sort by Estimated traffic (descending) to identify contributing URLs.
3. Use the columns to qualify the opportunity:
- Primary keyword, Volume, Difficulty, Position (for the competitor)
- First appearance (spot recent content that is rising)
#### 3) Turn the insight into a “Create” or “Optimize” decision
- Create: if the opportunity doesn’t exist on your site.
- Optimize: if you already have a page.
- Filter Website = your site.
- Use My position and Estimated traffic to spot underperforming pages.
Expected outcome: a short list of opportunities (keywords + competitor URLs) and a clear decision: create or optimize.
### Scenario 2: Understand a competitor’s strategy (diagnosis + key pages and keywords)
Goal: understand how a competitor wins (scaling, optimization, formats, clusters, funnel) and isolate the pages and keywords that drive most of the traffic.
#### 1) Run a quick competitive diagnosis
1. Switch to duel mode (1v1): your site vs 1 competitor.
2. Analyze 2 charts to identify the dynamics:
- Organic traffic trend: steady growth vs spikes.
- Trend in number of pages produced: traffic rising with or without URL creation.
3. Identify 2 to 3 dominant segments via the breakdowns:
- Themes, Personas, Funnel stages, Page types.
4. Click a dominant segment to open Data Explorer.
#### 2) Isolate “driver” content in Data Explorer
1. Filter Website = competitor.
2. Sort by Estimated traffic to surface contributing pages.
3. Qualify what works:
- Page type (format), Funnel stage (intent), Primary keyword (angle)
- Difficulty and Volume (effort vs potential)
4. “Quick wins” option: add a Difficulty filter (low to medium) and/or Keyword length = long-tail.
Expected outcome: a structured read (scaling vs optimization, formats, clusters) and a list of pages/keywords to address.
### Scenario 3: Prioritize gaps for a persona or a funnel stage (coverage vs performance)
Goal: turn a breakdown (persona or funnel) into a prioritized backlog: missing content, content to optimize, format trade-offs.
#### 1) Identify the segment to strengthen in the Report screen
1. Filter the Persona (or Funnel stage) you want to analyze.
2. Compare:
- Traffic trend (you vs competitors)
- Trend in number of pages produced (over-coverage vs under-coverage)
3. Check whether formats align with the page-type breakdown.
4. Open Data Explorer on the weak (or missing) segment.
#### 2) Build an actionable backlog (competitors first, then you)
- Competitors:
1. Website = competitors
2. Sort by Estimated traffic to list the URLs that capture demand
- You:
1. Website = your site
2. Filter My position (e.g., beyond Top 10)
3. Sort by Volume or Estimated traffic to target optimizations
#### 3) Apply a simple prioritization rule
- High volume + reasonable difficulty + weak My position = prioritize optimization.
- High volume + no page = prioritize creation.
Expected outcome: a concrete persona/funnel plan based on your data (URLs, keywords, positions).
### Scenario 4: Grow the long tail (quick wins + cluster structuring)
Goal: detect “low competition” opportunities and build a structured coverage strategy (clusters, formats, pages).
#### 1) Detect long-tail signals in the Report screen
1. Filter Keyword length = Long tail and Traffic type = Non-brand.
2. Spot:
- Who is winning on the long tail (Traffic trend chart)
- Who is producing the most long-tail URLs (Pages produced trend chart)
3. Use Theme / Page type / Funnel stage breakdowns to understand where the long tail pays off.
4. Open Data Explorer.
#### 2) Isolate quick wins and structure by clusters
1. Filter:
- Keyword length = long tail
- Difficulty = low to medium
- Volume ≠ 0
2. Sort by Estimated traffic.
3. Group by:
- Theme (clusters)
- Page type (formats to industrialize)
- Funnel stage (intent)
#### 3) Trigger action
- Create pages to fill missing clusters.
- Optimize existing pages by targeting nearby long-tail queries (same theme / same intent).
Key insight: the long tail often generates qualified traffic with less competition, but it performs best when structured by themes and intents (persona + funnel).
### Best practices for useful (and actionable) analyses
#### 1) Start broad, then refine
- Avoid: too many filters right away (you may miss insights).
- Recommended: start with an overview, identify a pattern, then refine progressively.
#### 2) Compare yourself to the right competitors
Not all competitors are relevant for every analysis.
- Global competitor: high-level overview
- Niche competitor: thematic focus
- Peer competitor: realistic comparison
#### 3) Cross dimensions (where the best insights are born)
Examples:
- Theme “Running shoes” + Persona “beginner”: create a guide “Which running shoes for beginners?” and branch into pronation, weight, budget.
- Page type “E-commerce category” + Funnel stage “consideration”: optimize a category page with a choice-oriented intro, relevant filters, FAQ.
- Competitor + Non-brand: identify pages that capture long-tail demand and replicate the cluster logic.
#### 4) Document your findings
When you identify an important insight:
- Download an image (PNG)
- Export the data
- Write down your recommendations
- Share with the relevant teams
#### 5) Take action immediately
A good analysis should trigger an action:
- Add the opportunities to the Content Hub Planning
- Add due dates
- Assign owners
- Track impact in your monthly reports
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