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Seven Types of Data Extensions We Use on SFMC Projects

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Seven Types of Data Extensions We Use on SFMC Projects
TL;DR · WeSearch summary

The article discusses seven types of Data Extensions (DE) used in Salesforce Marketing Cloud (SFMC) projects. Each DE type has distinct behaviors and requirements, which are crucial for effective email campaign management. Understanding these types helps prevent common mistakes, such as sending emails from non-sendable DEs or using outdated Filtered DEs.

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DEV.to (Top) files mainly under programming. We currently carry 4,924 of its stories.

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Original publisherDEV.to (Top)
Canonical URLhttps://dev.to/sapotacorp/seven-types-of-data-extensions-we-use-on-sfmc-projects-83o
Publication timeSun, 24 May 2026 02:52:26 +0000
Retrieval time2026-05-24T03:07:29.848Z
Last seen2026-05-24T03:07:29.848Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
Clusterr80wHEzAQXzG · 2 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing May the item be indexed (stored, ranked, made findable)? Allowed
Snippet May a short excerpt of the publisher's text be shown? Allowed
AI summary May WeSearch generate its own short summary of the article? Limited
Retrieval / RAG May the content be exposed for third-party retrieval-augmented generation? Not asserted
Model training May the content be used to train AI models? Not asserted
Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3948393) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } SapotaCorp Posted on May 24 • Originally published at sapotacorp.vn on May 24 Seven Types of Data Extensions We Use on SFMC Projects #marketingcloud "Data Extension" is the generic term, but SFMC supports several DE types with different behaviors. Knowing the distinctions saves you from trying to send email from a lookup DE or forgetting to refresh a Filtered DE before a campaign. Here's the reference we hand to every new engineer. 1.

Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).

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