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Personalized marketing

marketing strategy using data analysis to deliver individualized messages and products

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General referenceInterpretive dossier study · Crown Archives visual atlas
Record originEnglish Wikipedia
Text licenseCC BY-SA 4.0
Source revisionMay 19, 2026
Entity authorityQ3310681
Source-derived summary

Personalized marketing, also known as one-to-one marketing or individual marketing, is a marketing strategy by which companies use data analysis and digital technology to show adverts to individuals based on their perceived characteristics and interests. Marketers use methods from data collection, analytics, digital electronics, and digital economics then use technology to analyze it and show personalized ads based on algorithms that attempt to deduce people’s interests.

Technology

Personalized marketing is dependent on many different types of technology for data collection, data classification, data analysis, data transfer, and data scalability. Technology enables marketing professionals to collect first-party data such as gender, age group, location, and income, as well as connect them with third-party data such as click-through rates of online banner ads and social media participation.

Data Management Platforms: A data management platform (DMP) is a centralized computing system for collecting, integrating and managing large sets of structured and unstructured data from disparate sources. Personalized marketing enabled by DMPs is sold to advertisers with the goal of having consumers receive relevant, timely, engaging, and personalized messaging and advertisements that resonate with their unique needs and wants. Growing number of DMP software options are available including Adobe Systems Audience Manager and Core Audience (Marketing Cloud) to Oracle-acquired BlueKai, Sitecore Experience Platform and X+1

Customer Relationship Management Platforms: Customer relationship management (CRM) is used by companies to manage and analyze customer interactions and data throughout the customer lifecycle, improving relationships, boosting retention, and driving sales growth. CRM systems are designed to compile information on customers across different channels (points of contact between the customer and the company) which could include the company's website, live support, direct mail, marketing materials and social media. CRM systems can also give customer-facing staff detailed information on customers' personal information, purchase history, buying preferences and concerns. Most popular enterprise CRM applications are Salesforce.com, Microsoft Dynamics CRM, NetSuite, Hubspot, and Oracle Eloqua.

Editorial summary

This brief starts where responsible research should: with the source description of “Personalized marketing” as marketing strategy using data analysis to deliver individualized messages and products. Everything that follows is an evidence route, not borrowed authority.

Editorial reviewA practical starting point whose main value is the path it opens into stronger specialist and primary sources. The current 313-word lead offers orientation but no explicit four-digit date, so chronology should not be assumed. The selected authority fields contribute no independent date. The account is most persuasive where Personalized, marketing and strategy can be independently traced.
Editorial analysis

Why this record matters

The subject matters to the general reference register because the source frames it as marketing strategy using data analysis to deliver individualized messages and products. Its deeper value depends on whether names, dates, institutions and citations support that framing.

Evidence profile

The citation trail is more important than the brevity of the summary: it shows where individual claims can be examined in context. The source revision retrieved here is dated May 19, 2026. The linked authority identifier is Q3310681. None of the 0 selected statements returned an explicit reference.

Critical limits

Overview language is designed for orientation and should not be treated as a substitute for the evidence cited beneath it. The lead is largely declarative, so disagreement and counter-evidence require a deliberate search beyond the opening account. Authority statements aid reconciliation but still require their own references, qualifiers and ranks to be checked.

How to read it

Use the entry as an orientation point, then follow its citations and revision history. Names, dates and institutional relationships should be checked against the original record.

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  2. Expand the search: follow Personalized marketing primary sources, Personalized marketing archive and Personalized research across catalogues and specialist indexes.
  3. Test the account: compare the strongest cited source with the responsible institution’s current record and note any disagreement.

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Source & attribution

This entry incorporates text from Personalized marketing” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.