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Scroogled (a portmanteau of "screwed" and "Google") was a series of Microsoft attack ads that ran between November 2012 and November 2013. Created by Mark Penn, the campaign sought primarily to attack a competing company, Google, by pointing out disadvantages and criticism of their products and services in comparison to those run by Microsoft…
The analysis highlights History, Legacy, Products and Standards as prominent areas in the source structure around Scroogled.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Scroogled shows recurring relationship patterns in the source. For example, Scroogled → After, Australia, Eight, Google, Google's, House Judiciary Committee, In, In January, Kent Walker, March, Microsoft, Microsoft's, News Media Bargaining Code, Our, Penned, The, This Another extracted example is Scroogled → Although Microsoft, Bing Shopping, February, Gmail, Google, Google Shopping, Microsoft's, November, Outlook, PPC, The. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
microsoft google campaign 2013 advertising com google's attack bing november products model later use comparison pay-per-click windows attacking search users
TTTA extracted 28 structured relationships around Scroogled. Examples in this analysis include Scroogled → related to history → Although Microsoft and Scroogled → related to history → Google. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Scroogled | related to history | Although Microsoft | 0.60 | section |
| Scroogled | related to history | 0.60 | section | |
| Scroogled | related to history | November | 0.60 | section |
| Scroogled | related to history | Google Shopping | 0.60 | section |
| Scroogled | related to history | PPC | 0.60 | section |
| Scroogled | related to history | The | 0.60 | section |
| Scroogled | related to history | Microsoft's | 0.60 | section |
| Scroogled | related to history | Bing Shopping | 0.60 | section |
| Scroogled | related to history | February | 0.60 | section |
| Scroogled | related to history | Gmail | 0.60 | section |
| Scroogled | related to history | Outlook | 0.60 | section |
| Scroogled | related to Legacy | After | 0.60 | section |
The concept neighborhoods around Scroogled bring nearby vocabulary together. In this analysis, examples include November, Microsoft and Began. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Scroogled, one of the stronger structural bridges in this analysis connects Scroogled with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Scroogled to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Legacy, Products & Standards, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Scroogled · EN edition · Analysis: TopicsToTalkAbout