Customer relationship management

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Customer relationship management topic overview

The analysis highlights History, Companies and Products as prominent areas in the source structure around Customer relationship management.

Related topics: 110
Source areas: 10
Connected nodes: 120
Extracted relationships: 69
Related term clusters: 40
Bridge connections: 120

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 · 27 topics

Components · 13 topics

Market trends · 13 topics

Effect on customer satisfaction · 11 topics

Overview · 11 topics

Improving CRM · 9 topics

Types · 9 topics

In practice · 8 topics

Customer profile · 6 topics

Criticism · 3 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.

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Customer relationship management

10Data collection · Communication channel · Website

6Consumption (economics) · Extrapolation · Advertising

25Data-driven · Mainframe computer · Spreadsheet

5Survey (human research) · Online chat · Data mining

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

Types

Components

Effect on customer satisfaction

Customer profile

Improving CRM

In practice

Market trends

Criticism

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Customer relationship management connects Entity context

The extracted context around Customer relationship management shows recurring relationship patterns in the source. For example, Customer relationship management → ACT, CRM, Developed, ERP, Farley, Farley File, FDR, Franklin Roosevelt's, James Farley, Kate, Kestenbaum, Mike Muhney, Navision, One, Oracle, Pat Sullivan, Peoplesoft, Robert, Rolodex, SAP. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to history · 25

Customer relationship management → ACT, CRM, Developed, ERP, Farley, Farley File, FDR, Franklin Roosevelt's, James Farley, Kate, Kestenbaum, Mike Muhney, Navision, One, Oracle, Pat Sullivan, Peoplesoft, Robert, Rolodex, SAP

Important terminology

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

Important terminology

crm customer customers systems data sales marketing also companies management relationships information automation relationship service social use help may company

Customer relationship management relationships Subject–Predicate–Object triples

TTTA extracted 69 structured relationships around Customer relationship management. Examples in this analysis include phone → instance of → customers are supported through multiple channels and data mining → instance of → Analytical CRM systems use techniques. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
phone	instance of	customers are supported through multiple channels	0.80	text
email	instance of	customers are supported through multiple channels	0.80	text
knowledge bases	instance of	customers are supported through multiple channels	0.80	text
ticketing portals	instance of	customers are supported through multiple channels	0.80	text
FAQs	instance of	customers are supported through multiple channels	0.80	text
and more.AnalyticalThe role of analytical CRM systems is to analyze customer data collected through multiple sources	instance of	customers are supported through multiple channels	0.80	text
present it so that business managers can make more informed decisions	instance of	customers are supported through multiple channels	0.80	text
data mining	instance of	Analytical CRM systems use techniques	0.80	text
correlation	instance of	Analytical CRM systems use techniques	0.80	text
and pattern recognition to analyze customer data	instance of	Analytical CRM systems use techniques	0.80	text
suppliers	instance of	the company might think to market to this subset of consumers differently to best communicate how this company's products might benefit this group specifically.CollaborativeThe…	0.80	text
vendors	instance of	the company might think to market to this subset of consumers differently to best communicate how this company's products might benefit this group specifically.CollaborativeThe…	0.80	text

Related concept clusters Related term clusters

The concept neighborhoods around Customer relationship management bring nearby vocabulary together. In this analysis, examples include Crm, Service and Systems. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

Customer relationship management
- Crm
- Service
- Systems
- Relationships
- Marketing
- Data
- Relationship
- Management
- Businesses
- Companies
- Contact
- Also
customer relationship management
- Relationship
- Crm
- Service
- Systems
- Relationships
- Marketing
- Data
- Management
- Businesses
- Companies
- Contact
- Also
compile data
- Information
- Systems
- Use
- Companies
- Social
- Many
- Media
- Software
- Marketing
- May
- Products
- Automation
retaining customers
- May
- Relationship
- Information
- Firms
- Company
- Social
- Systems
- Marketing
- Used
- Also
- Contact
- Media
sales
- Automation
- Marketing
- Analysis
- Service
- Contact
- Systems
- Businesses
- Companies
- Using
- Software
- Company
- Also
standalone mainframe systems
- Marketing
- Data
- Use
- Sales
- Also
- Companies
- Automation
- Social
- Media
- Company
- Service
- Business
database marketing
- Automation
- Systems
- Sales
- Service
- Using
- Products
- Social
- Relationships
- Analysis
- Different
- Services
- Firm
siebel customer relationship management
- Relationship
- Crm
- Service
- Systems
- Relationships
- Marketing
- Data
- Management
- Businesses
- Companies
- Contact
- Also

Connections between topic areas Semantic bridges

For Customer relationship management, one of the stronger structural bridges in this analysis connects Customer relationship management 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.

Min side: 3

Customer relationship management — History · splits 93 ⟂ 28

Customer relationship management — Components · splits 107 ⟂ 14

Customer relationship management — Market trends · splits 107 ⟂ 14

Customer relationship management — Overview · splits 109 ⟂ 12

Customer relationship management — Effect on customer satisfaction · splits 109 ⟂ 12

Customer relationship management — Types · splits 111 ⟂ 10

Customer relationship management — Improving CRM · splits 111 ⟂ 10

Customer relationship management — In practice · splits 112 ⟂ 9

Customer relationship management — Customer profile · splits 114 ⟂ 7

Customer relationship management — Criticism · splits 117 ⟂ 4

Map overview Semantic statistics

Customer relationship management

Nodes121

Edges120

Triples69

Avg. degree1.98

Density0.016529

Components1

Source & methodology

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

Source: Wikipedia — Customer relationship management · EN edition · Analysis: TopicsToTalkAbout

Customer relationship management: History, Companies & Products

Customer relationship management topic overview

What this topic covers Research coverage

Key facts & relationships

Start with your topic. Discover where to go next.

Questions to explore

Explore all related topics Closing gaps

Overview

History

Types

Components

Effect on customer satisfaction

Customer profile

Improving CRM

In practice

Market trends

Criticism

For the semantics nerds

Advanced semantic analysis

How Customer relationship management connects Entity context

Customer relationship management

Top relations

Important terminology

Important terminology

Customer relationship management relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

Customer relationship management

Source & methodology