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Shopkick: History, Technology, Products & Art
Shopkick was an American company based in Denver that created a shopping app for smartphones and tablets offering users rewards for shopping activities on both online and offline platforms such as walking into stores, scanning items, making in-app or in-store purchases and submitting receipts. Users are awarded "kicks" for these actions, and can exchange…
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Shopkick topic overview
The analysis highlights History, Technology, Products and Art as prominent areas in the source structure around Shopkick.
Related topics
42
Source areas
5
Connected nodes
47
Extracted relationships
64
Concept neighborhoods
8
Bridge connections
47
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.
History · 22 topics
Products · 12 topics
Technology · 4 topics
Overview · 3 topics
Awards and accolades · 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.
Founded
2009; 17 years ago (2009)
Founders
Cyriac Roeding · Jeff Sellinger · Aaron Emigh
Industry
Media
Headquarters
Denver, Colorado
Defunct
March 27, 2026 (2026-03-27)
Parent
Trax Retail
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
How Shopkick connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Shopkick shows recurring relationship patterns in the source. For example, Shopkick → American Eagle, American Eagle Outfitters, American Red, Best Buy, Feeding America, Kicks, L'Oreal, Marshalls, Mondelez, Most, Over, Partner, ROI, Shopkick's, Starbucks, Target, TJ Maxx, Torrid, Unilever, Walmart Another extracted example is Shopkick → Aaron Emigh, Byers, CBS's, CEO Cyriac Roeding, Colorado, Cyriac Roeding, Denver, EVP, Greylock Partners, Jeff Sellinger, Kleiner Perkins, Kleiner Perkins Caufield, LinkedIn Corp, Reid Hoffman, SK Planet, The. Use these groups to spot repeated connection types before inspecting the individual relationships.
Shopkick
Top relations
related to Products· 21
Shopkick → American Eagle, American Eagle Outfitters, American Red, Best Buy, Feeding America, Kicks, L'Oreal, Marshalls, Mondelez, Most, Over, Partner, ROI, Shopkick's, Starbucks, Target, TJ Maxx, Torrid, Unilever, Walmart
related to history· 16
Shopkick → Aaron Emigh, Byers, CBS's, CEO Cyriac Roeding, Colorado, Cyriac Roeding, Denver, EVP, Greylock Partners, Jeff Sellinger, Kleiner Perkins, Kleiner Perkins Caufield, LinkedIn Corp, Reid Hoffman, SK Planet, The
related to Technology· 7
Shopkick → Apple, BLE, Bluetooth Low Energy, GPS, Instead, Once, The
Founders· 3
Shopkick → Aaron Emigh, Cyriac Roeding, Jeff Sellinger
Defunct· 1
Shopkick → March 27, 2026 (2026-03-27)
Founded· 1
Shopkick → 2009; 17 years ago (2009)
Headquarters· 1
Shopkick → Denver, Colorado
Industry· 1
Shopkick → Media
Parent· 1
Shopkick → Trax Retail
Type· 1
Shopkick → Subsidiary
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 64 structured relationships around Shopkick. Examples in this analysis include Shopkick → Defunct → March 27, 2026 (2026-03-27) and Shopkick → Founded → 2009; 17 years ago (2009). The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Shopkick
Defunct
March 27, 2026 (2026-03-27)
1.00
infobox
Shopkick
Founded
2009; 17 years ago (2009)
1.00
infobox
Shopkick
Founders
Cyriac Roeding
1.00
infobox
Shopkick
Founders
Jeff Sellinger
1.00
infobox
Shopkick
Founders
Aaron Emigh
1.00
infobox
Shopkick
Headquarters
Denver, Colorado
1.00
infobox
Shopkick
Industry
Media
1.00
infobox
Shopkick
Parent
Trax Retail
1.00
infobox
Shopkick
Type
Subsidiary
1.00
infobox
Shopkick
Website
shopkick.com
1.00
infobox
walking into stores
instance of
Shopkick was an American company based in Denver that created a shopping app for smartphones and tablets offering users rewards for shopping activities on both online and offlin…
0.80
text
scanning items
instance of
Shopkick was an American company based in Denver that created a shopping app for smartphones and tablets offering users rewards for shopping activities on both online and offlin…
0.80
text
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Shopkick bring nearby vocabulary together. In this analysis, examples include App, Users and Partners. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Shopkick
App
Users
Partners
Retail
Acquired
Also
Shopping
Store
In-store
Scanning
Audio
Making
shopkick
App
Users
Partners
Retail
Acquired
Also
Shopping
Store
In-store
Scanning
Audio
Making
american eagle outfitters
Eagle
Stores
App
Rewards
Based
Cards
Created
Currently
Denver
Gift
In-app
In-store
the american red cross
Eagle
Stores
App
Rewards
Based
Cards
Created
Currently
Denver
Gift
In-app
In-store
denver, colorado
App
Created
Currently
Cyriac
In-app
In-store
Online
Purchases
Receipts
Roeding
Scanning
Making
cyriac roeding
Roeding
Denver
Mobile
Products
Walking
Well
Stores
Partners
Retail
Rewards
Shopkick
greylock partners
Retail
Like
Products
Shopkick
Roeding
Eagle
Product
Shopping
Well
Store
products
Partners
Cyriac
Receipts
Roeding
Like
Well
Retail
Shopkick
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Shopkick, one of the stronger structural bridges in this analysis connects Shopkick with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Shopkick
Nodes48
Edges47
Triples64
Avg. degree1.96
Density0.041667
Components1
Source & methodology
TTTA analyzes the structure around Shopkick to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Technology, Products & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
