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Project title:
SEO Data Extraction & Trend Analysis (YOY/MOM)
Posted by:
External project from PeoplePerHour
Started:
13-Apr-2025 08:19 GMT
Description:
Expected duration: 1 day or less
We are looking for someone to start right away on this project to turn around in 24 hours. Recruitment and Briefing to happen Monday 13th April.

Opportunity for ongoing SEO/data analysis work if work is successful

Scope of Work:
1. Data Extraction:
• Pull YOY and MOM performance data from the following sources:
• Google Analytics 4 (GA4) – sessions, conversions (if available), landing page performance
• Google Search Console (GSC) – impressions, clicks, CTR, and average position by keyword and landing page
• Google Keyword Planner / Keyword IO tool – keyword search volume
• Internal Google Sheets or Excel reports – provided upon start
2. Data Merging & Processing:
• Combine the following into a unified data set:
• GSC keyword data (clicks, impressions, average position)
• Keyword planner/IO data (monthly search volume)
• Align keyword ranking and search volume by keyword
• Merge page-level data from GA4 and GSC where relevant
3. Analysis:
• Create clear visuals and pivot tables to analyze:
• YOY traffic and ranking trends by keyword and landing page
• MOM changes and performance fluctuations
• Identify top-performing vs. underperforming pages and keywords
• Flag drops in performance (volume, position, or CTR) and suggest possible causes
4. Reporting & Deliverables:
• A consolidated Google Sheet or Excel workbook with:
• Raw data tabs
• Cleaned and merged data sets
• Pivot tables and trend graphs
• Short summary of key insights and recommendations (1–2 pages or in a separate tab)



Tools & Skills Required:
• Advanced Google Sheets / Excel (incl. VLOOKUP, INDEX/MATCH, pivot tables, graphs)
• Proficiency with GA4, Search Console, and Keyword Planner/IO
• ideally a strong understanding of SEO metrics and how to analyze them but also can just put the data together for us to analyse
• Comfortable handling large datasets and aligning multiple sources
Project ID:
3429410
Project category:
Project budget:
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