Find out how DataScience has revolutionized SEO for OVH
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This document discusses using data science and machine learning techniques like XGBoost for search engine optimization (SEO). It recommends building an SEO datamart using data from sources like Semrush, Majestic, and Screaming Frog. Models can be built using XGBoost to predict Google rankings based on variables like backlinks, domains, trust flow, and response time. The document advocates for a new role of data scientist SEO to help automate SEO using machine learning platforms like Dataiku.
Find out how DataScience has revolutionized SEO for OVH
- 2. DATA-SEO NEXT LEVEL VINCENT TERRASI / REMI BACHA HEAD OF DATA / HEAD OF SEO @vincentterrasi / @remibacha
- 3. Any sufficiently advanced technology is indistinguishable from magic ARTHUR CLARKE
- 6. DATA SCIENCE PROJECT SEO PROJECTOVH
- 12. SEO IS A BIG DATA JOB
- 13. UNDERSTAND DATA MANIPULATE & ANALYSE BRING VALUE TO DATA DATA SCIENCE
- 14. EMPIRICISM 01. MAKE OBSERVATIONS 05BIS. REFINE, ALTER, EXPAND, OR REJECT HYPOTHESES 04. DEVELOP TESTABLE PREDICTIONS 02. THINK OF INTERESTING QUESTIONS 06. DEVELOP GENERAL THEORIES 05. GATHER DATA TO TEST PREDICTIONS 03. FORMULATE HYPOTHESES
- 16. RANK BRAIN
- 18. 01 02 03 04 CHANGING SEO FACTORS NEW FACTORS RANKING MISTAKES ULTRA- PERSONNALISATION
- 19. IT’S TIME TO UPGRADE SEO MACHINE LEARNING IA BIG DATA DATA SCIENCE DEEP LEARNING RANKBRAIN
- 20. WELCOME TO THE DATA SEO ERA
- 21. NEW JOB DATA SCIENTIST SEO
- 22. LEARNING DATA SCIENCE – Data Scientist Toolbox – Getting & cleaning Data – R / Python Programming – Explorary data – Machine Learning – Big Data
- 23. SEO DATAMART COMPETITORS OTHER TRAFFIC SOURCES DATA SOCIAL NETWORK SEARCH CONSOLE CRAWLS STOCK, PRICES, SALES DATA CUSTOMERS DATA EVENTS WEB ANALYTICS NETLINKING SEMANTICAL WEBPERFS SEARCH TRENDS SERVER LOGS
- 25. XGBOOST 33TREES 10MAX DEPTH 100WAS GRID OF SIZE ROC AUC : 0.915 ? ? ? ? ? ? ? MOST IMPORTANT VARIABLES
- 27. DATAIKU DSS The most complete Data Science platform Data Preparation Machine Learning Deployment Collaboration
- 29. HOW TO PREDICT GOOGLE RANKINGS?
- 30. GETTING SERP DATA FROM SEMRUSH
- 33. CLEAN DATA REMOVE INVALID URLS Slow Crawl Rate Non-HTML Content Network Problems Slow Web Servers WAIT TIMES Errors from Web Servers URL Moved Permanently Redirect (301) URL Moved Temporarily Redirect (302) Authentication Required (401) or Document Not Found (404) Cyclic Redirects
- 37. XGBOOST Adaptive boosting Gradient boosting Bagging Random forest BIAS RELATED ERRORS VARIANCE RELATED ERRORS
- 40. ? ? ? ? ? ? ? XGBOOST 33TREES 10MAX DEPTH 100WAS GRID OF SIZE ROC AUC : 0.915 MOST IMPORTANT VARIABLES ExtBackLinks RefDomains TrustFlow External Outlinks Response Time CitationFlow
- 41. TAKE AWAY … AUTOMATED MACHINE LEARNING WITH DATAIKU AUTOMATED KPI REPORTING SEO DATALAKE TEXT GENERATION OPPORTUNITIES DETECTION PREDICTIVE ANALYSIS PROCESS MINING AUTOMATED MACHINE LEARNING WITH DATAIKU SEO DATAMART
- 42. NOW, MACHINES CAN LEARN AND ADAPT, IT IS TIME TO TAKE ADVANTAGE OF THE OPPORTUNITY TO CREATE NEW JOBS. Data-SEO, Data-Doctor, Data-Journalist …
- 43. THANK YOU
- 44. GET ALL OUR LAST DISCOVERIES AND UPDATES Vincent TERRASI @vincentterrasi Remi BACHA @remibacha Data-seo.com Remibacha.com