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Official statement

Data discrepancies between filtered and unfiltered views in Search Console are normal. Anonymized queries are excluded when filters are applied, which explains significant differences in totals. Refer to the documentation on data discrepancies.
22:16
🎥 Source video

Extracted from a Google Search Central video

⏱ 26:24 💬 EN 📅 25/04/2024 ✂ 11 statements
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Other statements from this video 10
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  2. 9:35 Pourquoi la recherche Google est-elle si instable pour le SEO ?
  3. 11:38 Pourquoi Google ne peut-il pas retirer le contenu illégal des résultats de recherche ?
  4. 13:43 Pourquoi votre stratégie vidéo pourrait-elle échouer à l'indexation ?
  5. 14:46 Comment éviter les pièges d'indexation des vidéos sur votre site ?
  6. 16:55 Pourquoi la mise à jour des favicons est-elle si lente dans les SERP ?
  7. 18:32 Pourquoi Google ne contrôle-t-il pas la forme des favicons ?
  8. 19:36 Comment les requêtes anonymisées impactent-elles votre analyse SEO dans Search Console ?
  9. 24:20 Pourquoi Google privilégie-t-il les données CrUX pour les Core Web Vitals ?
  10. 24:52 Les Core Web Vitals influencent-ils vraiment votre classement SEO ?
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Official statement from (2 years ago)
TL;DR

Data discrepancies in Search Console are common. They result from anonymized queries being excluded in filtered views. Be cautious when analyzing totals.

What you need to understand

What causes these data discrepancies?↵

Google states that discrepancies arise from **anonymized** queries being excluded when filters are applied. In practice, this means some queries will not be counted, potentially skewing your understanding of the data.<\/p>

  • Anonymized queries are excluded during filtering.<\/li>
  • Differences may occur between the totals of filtered and unfiltered data.<\/li>
  • It is crucial to consider this aspect during your analyses.<\/li><\/ul>

    How does this impact your SEO reports?↵

    These **discrepancies** can result in **incorrect interpretations** when comparing the performance of different pages or keywords. Therefore, you will need to adjust your conclusions based on potential discrepancies.<\/p>

SEO Expert opinion

Does this statement align with observed practices?↵

Considering that Google prioritizes user **privacy**, the exclusion of anonymized queries fits this rationale. However, it complicates precise analysis for SEOs.<\/p>

How clear is the information provided?↵

The statement lacks details on the **exact scope** of these discrepancies. Google does not specify how much data is affected, leaving a gray area. [To be verified]<\/strong><\/p>

Be cautious: misinterpretations can harm your SEO strategy.<\/div>

Practical impact and recommendations

What should you do practically?↵

Use this data as an **estimate** rather than an absolute value. Be aware that discrepancies can occur and adjust your analytical approach accordingly.<\/p>

What mistakes should you avoid?↵

Do not draw hasty conclusions about the performance of your pages or keywords without considering potential discrepancies. This could bias your decisions.<\/p>

  • Seek to understand and adjust for possible discrepancies.<\/li>
  • Avoid relying solely on filtered views for your decisions.<\/li>
  • Regularly check Google’s documentation to understand updates.<\/li><\/ul>
    Consider consulting an SEO specialist who can help interpret this complex data effectively and optimize your performance.<\/div>

❓ Frequently Asked Questions

Qu'est-ce qu'une requête anonymisée dans Search Console ?
Il s'agit d'une requête dont les données particulières ont été masquées pour protéger l'utilisateur.
Ces écarts impactent-ils la totalité de mes rapports SEO ?
Non, mais ils peuvent affecter certaines analyses filtrées. Gardez cela à l'esprit durant vos interprétations.
Comment puis-je éviter les erreurs d'interprétation dues aux écarts ?
En tenant compte des écarts et en ajustant vos conclusions pour compenser les données masquées.

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