Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Microsoft Points: Products, Discontinuation & Criticism

Microsoft Points, introduced in November 2005 as Xbox Live Points, were a digital currency issued by Microsoft for use on its Xbox and Zune product lines. Points could be used to purchase video games and downloadable content from Xbox Live Marketplace, digital content such as music and videos on Zune Marketplace, along with content from Windows Live Gallery.

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Microsoft Points topic overview

The analysis highlights Products, Discontinuation and Criticism as prominent areas in the source structure around Microsoft Points.

Related topics
24
Source areas
4
Connected nodes
28
Extracted relationships
52
Concept neighborhoods
22
Bridge connections
28

What this topic covers Research coverage

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.

Overview · 10 topics
Discontinuation · 9 topics
Criticism · 4 topics
Distribution · 1 topics

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.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

.mw-parser-output .nobold{font-weight:normal} Freq. used
Cards of 200, 400, 700, 800, 1200, 1400, 1500, 1600, 2000, 2100, 2800, 3000, 3500, 4000, 4200, 4500, 6000
Central bank
Microsoft
Plural
Points, Microsoft Points, MSP

Explore all related topics Closing gaps

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.

Overview

Distribution

Criticism

Discontinuation

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Microsoft Points connects Entity context

The extracted context around Microsoft Points shows recurring relationship patterns in the source. For example, Microsoft Points → August, Currency, E3, Groove Music, However, In May, June, Microsoft Movies, Microsoft's, Points, The Xbox, TV, Users, Windows, Windows Phone Store, Windows Store, Xbox, Xbox Music, Xbox One, Xbox Video Another extracted example is Microsoft Points → Aaron Greenberg, But, In, Microsoft, Paul Thurrott, Points, So, The Microsoft Points, Walter Mossberg, Xbox, You, Zune. Use these groups to spot repeated connection types before inspecting the individual relationships.

Microsoft Points

Top relations

related to Discontinuation · 20
Microsoft Points → August, Currency, E3, Groove Music, However, In May, June, Microsoft Movies, Microsoft's, Points, The Xbox, TV, Users, Windows, Windows Phone Store, Windows Store, Xbox, Xbox Music, Xbox One, Xbox Video
related to Criticism · 12
Microsoft Points → Aaron Greenberg, But, In, Microsoft, Paul Thurrott, Points, So, The Microsoft Points, Walter Mossberg, Xbox, You, Zune
related to Further reading · 9
Microsoft Points → GameSpot, Lock-gray-alt-2, Lock-green, Lock-red-alt-2, September, Thorsen, Tor, Wikisource-logo, Zune
related to Distribution · 3
Microsoft Points → In, In North America, United States
.mw-parser-output .nobold{font-weight:normal} Freq. used · 1
Microsoft Points → Cards of 200, 400, 700, 800, 1200, 1400, 1500, 1600, 2000, 2100, 2800, 3000, 3500, 4000, 4200, 4500, 6000
Central bank · 1
Microsoft Points → Microsoft
Plural · 1
Microsoft Points → Points, Microsoft Points, MSP

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

points microsoft xbox zune currency 2013 digital purchase local windows would using 360 converted live distribution cards 400 used users

Microsoft Points relationships Subject–Predicate–Object triples

TTTA extracted 52 structured relationships around Microsoft Points. Examples in this analysis include Microsoft Points → .mw-parser-output .nobold{font-weight:normal} Freq. used → Cards of 200, 400, 700, 800, 1200, 1400, 1500, 1600, 2000, 2100, 2800, 3000, 3500, 4000, 4200, 4500, 6000 and Microsoft Points → Central bank → Microsoft. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Microsoft Points.mw-parser-output .nobold{font-weight:normal} Freq. usedCards of 200, 400, 700, 800, 1200, 1400, 1500, 1600, 2000, 2100, 2800, 3000, 3500, 4000, 4200, 4500, 60001.00infobox
Microsoft PointsCentral bankMicrosoft1.00infobox
Microsoft PointsPluralPoints, Microsoft Points, MSP1.00infobox
musicinstance ofdigital content0.80text
videos on Zune Marketplaceinstance ofdigital content0.80text
along with content from Windows Live Gallery.In June 2013instance ofdigital content0.80text
Microsoft announced that it would phase out Microsoft Points by the end of 2013instance ofdigital content0.80text
in favor of using local cash currenciesinstance ofdigital content0.80text
Microsoft Pointsrelated to CriticismThe Microsoft Points0.60section
Microsoft Pointsrelated to CriticismIn0.60section
Microsoft Pointsrelated to CriticismZune0.60section
Microsoft Pointsrelated to CriticismPaul Thurrott0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Microsoft Points bring nearby vocabulary together. In this analysis, examples include Points, Xbox and Currency. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Microsoft Points
    • Points
    • Xbox
    • Currency
    • Zune
    • Local
    • Song
    • Store
    • Users
    • Using
    • Would
    • Cards
    • Distribution
  • microsoft points
    • Points
    • Xbox
    • Currency
    • Zune
    • Local
    • Song
    • Store
    • Users
    • Using
    • Would
    • Purchase
    • Converted
  • digital currency
    • Live
    • Converted
    • Xbox
    • Existing
    • Microsoft
    • Users'
    • Zune
    • Points
    • Local
    • Windows
    • Could
    • Distribution
  • microsoft
    • Points
    • Xbox
    • Currency
    • Zune
    • Local
    • Song
    • Store
    • Users
    • Using
    • Would
    • Cards
    • Distribution
  • xbox
    • Windows
    • August
    • Music
    • Product
    • Software
    • Update
    • Video
    • Card
    • Credit
    • Local
    • Users
    • Using
  • xbox live marketplace
    • Digital
    • Zune
    • Could
    • Music
    • Product
    • Use
    • Used
    • Video
    • Windows
    • August
    • Software
    • Update
  • xbox 360 software update
    • August
    • Update
    • Existing
    • Users'
    • Windows
    • Converted
    • Music
    • Product
    • Software
    • Video
    • Xbox
    • Card
  • microsoft movies & tv
    • Points
    • Xbox
    • Currency
    • Zune
    • Local
    • Song
    • Store
    • Users
    • Using
    • Would
    • Cards
    • Distribution

Connections between topic areas Semantic bridges

For Microsoft Points, one of the stronger structural bridges in this analysis connects Microsoft Points 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.

Min side: 3
Microsoft PointsOverview · splits 18 ⟂ 11
Microsoft PointsDiscontinuation · splits 19 ⟂ 10
Microsoft PointsCriticism · splits 24 ⟂ 5

Map overview Semantic statistics

Microsoft Points

Nodes29
Edges28
Triples52
Avg. degree1.93
Density0.068966
Components1

Source & methodology

TTTA analyzes the structure around Microsoft Points to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Products, Discontinuation & Criticism, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Microsoft Points · EN edition · Analysis: TopicsToTalkAbout

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.