Index
ISBN: 978-1-78973-818-6, eISBN: 978-1-78973-817-9
Publication date: 19 June 2019
This content is currently only available as a PDF
Citation
Wilson, L. (2019), "Index", Data-driven Marketing Content, Emerald Publishing Limited, Leeds, pp. 169-172. https://doi.org/10.1108/978-1-78973-817-920191013
Publisher
:Emerald Publishing Limited
Copyright © 2019 by Emerald Publishing Limited
INDEX
Action words
, 118
AI. See Artificial intelligence (AI)
AlchemyText
, 39
Amplification
, 125
Answer-based content driven
, 35
Applications
Ecommerce sites and stores
, 105–108
mobile devices
, 111–114
product pages
, 108–111
voice/screenless search
, 114–117
websites
, 101–105
Artificial intelligence (AI)
, 10
clickbait
, 18
Google RankBrain
, 17–18
purpose and potential
, 17
search engine results pages
, 17–18
Audience building
, 161
Audience demographics
, 53, 65
Audience insights
, 59
Automated bid adjustment
, 16, 20
Backlink gap
, 43
Big data
, 4–6
Four V’s
, 7
fundamentals
, 6–7
Big data gulf
, 2–4
Brand usurpers
, 160
Building backlinks
, 122
Building linkable marketing content
, 36
Business content metrics
, 140
Business insights
, 7–9
Canonical tag
, 118
Channel-targeted metrics
, 140–141
Chatbot technology
, 76
Collaborative community
, 105
Common data actions
, 46–47
Community content
, 161
Complacency
, 70
Consolidating needs
, 2
Content action plans
, 61–64
creating
, 61
example
, 62–64
marketing features
, 61–62
tools
, 61
Content building data sources
, 24
Content creation framework
, 129–131
Content failure
absent storytelling
, 68
content promotion
, 69
ineffective conversion mechanisms
, 68
insufficient planning
, 67
internal emphasis
, 68
mispositioning
, 69
overlooking SEO
, 68
quality
, 69
strategic shortfalls
, 68
Content hubs
, 122–123
Content identification
, 125–129
Content management system (CMS)
, 132
Content ordering
, 112
Contextual insights
, 58
Crowdsourcing
, 100
Data analysis
, 4
Data analysts
, 160
Data assessment
, 2
Data collection
, 2
definition
, 23–24
marketing content creation
, 24
Data curation
, 162
Data discovery
, 2
Data distribution
, 3
Data-driven content
chart
, 4, 5
process
, 2–4
Data-driven ecosystem
, 82
Data ecosystem
analytics
, 11
applications
, 11–12
artificial intelligence (AI)
, 12
data sources
, 12–13
definition
, 11, 20
infrastructure
, 11
intelligent algorithms
, 12
machine learning (ML)
, 12
Data insights
, 4
Data integrity
, 3, 49
Data labelling
, 2
Data management process
, 3, 45–46, 49
Data processing
, 3
Data refinement
, 4, 49
Data scientists
, 160
Data storage
, 3
Data transformation process
audience inertia
, 51
audience observations
, 52
content action plans
, 61–64
Google Analytics (GA) (See Google Analytics (GA))
insights
, 57–61
Data usefulness
, 3
Descriptive insights
, 59
Diagnostic insights
, 60
Digital story-making
, 162
EAT
, 102
Ecommerce
, 105–108
Ego-bait
, 100
Emails
, 78, 95–98
Engagement frequency
, 163
Featured Snippet
, 118
Feedly
, 41
Framework automation
, 162–163
Free content tools
, 36–37
F-shaped content
, 107
Garbage in, garbage out (GIGO)
, 7
General Data Protection Regulation (GDPR)
Data Protection Directive 95/46/EC
, 47
definition
, 49
overview
, 47
Google
, 24–25
alerts
, 26–27
content types
, 31
discovering underperforming content
, 30–31
old content revisiting
, 30
products
, 25–26, 28–30
returning visitor metrics
, 31
sales and goal completions
, 31
Google Analytics (GA)
, 24–25
audience awareness
, 53–54
audience demographics
, 53
audience overview reports
, 52–53
audience personas
, 54–56
dimensions
, 142–145
e-commerce tracking metric examples
, 144–145
event tracking metric examples
, 144
goal conversion metric examples
, 143–144
Google Ads metric examples
, 143
interests and locations
, 53
lifetime value tracking metric examples
, 142–145
lifetime value (and cohort) tracking metric examples
, 143
marketing content reports
, 145–148
page tracking metric examples
, 144
session metric examples
, 142
Google Beacons
, 79
Google optimize (GO)
, 33–34
Google products
, 36
Google RankBrain
, 20
Hashtags
, 79
High volume data accessibility
, 4
Hyperlocal
, 161–162
In-home shopping
, 77–78
Insights
analytics
, 57
data/information
, 57
prescriptive insights
, 57–58
types
, 58–60
Integrated services
, 160
Intelligent algorithms
, 10
Internal competition
, 72
Internal links
, 121–122
Isolated content writers
, 71–72
Isolated working
, 72
Key performance indicator (KPI)
, 139
Keyword data
, 39–40
Link and authority-building metrics
, 141–142
Linkbait Title Generator
, 40–41
Logo
, 105
Machine learning (ML)
, 10
automated bid adjustment
, 16
decision tree
, 15
definition
, 13
gradient boosting
, 15
historical data
, 16
K means
, 15
linear regression
, 15
logistic regression
, 15
Naïve Bayes
, 14
paid advertising
, 16
random forest
, 15
semi-supervised learning
, 14
supervised learning
, 13
unsupervised learning
, 14
Marketing channels content
, 65
content team
, 81
data-driven ecosystem
, 82
emails
, 95–98
newsletters
, 98–99
Pay Per Click (PPC)
, 86–89
promotional plan
, 82–83
Quora
, 92–94
roadmap
, 82
Search Engine Optimisation (SEO)
, 83–86
social media
, 89
Twitter
, 89–92
Marketing content
company growth
, 153
complexity
, 153
content promotion
, 153
content writing
, 152
data visualisation
, 151
deeper insights
, 153–154
descriptive and predictive analysis.
, 151
gap fulfilment
, 152
human
, 156–159
human/computer collaboration
, 159–163
increased engagement
, 154
integrated insights
, 152
interactive content
, 154
Internet
, 151
machines
, 151–154
performance gains
, 154
prescriptive data opportunities
, 151–152
resurfacing content
, 154
seamless content workflows
, 152
story-making
, 153
volume
, 152–153
Marketing medium
, 79
Measurement insights
, 58
Micromanagement
, 71
Mobile devices
, 111–114
Mobile friendliness
, 124
Multiplier effect
, 100
Natural Language Processing (NLP)
, 116–117
New content identification
, 34–35
Newsletters
, 98–99
Novelty and curiosity insights
, 58–59
Objectives and Key Results (OKRs) settings
, 136–138
Offline
, 73–74
Online
, 73–74
ordering
, 77–78
Opportunity
, 2
Paid advertising
, 16, 20
Paid content tools
, 41–42
Pay Per Click (PPC)
, 74–76, 86–89
Persistent footer section
, 107
Personas
, 54–56, 64
Podcasts
, 124
Power words
, 118
PPC. See Pay Per Click (PPC)
Predictive insights
, 60
Prescriptive insights
, 59
Product pages
, 108–111
Qualitative data
, 19
Quality
, 123
Quantitative data
, 19–20
Quora
, 40, 92–94, 100
Refinement insights
, 59
Refreshing data
, 120
Reorganise modules
, 124–125
Re-pitching articles
, 120–121
Revenue metrics
, 140
Revise headings
, 122
Schema.org
, 118
Search Engine Optimisation (SEO)
, 83–86
Search engine results pages (SERPs)
, 20
SEMRush
, 43–44
Setting benchmarks
channel benchmarks
, 135
competition benchmarks
, 134
data benchmarks
, 134
external benchmarks
, 134
general (content type) benchmarks
, 134–135
internal benchmarks
, 133–134
market share benchmarks
, 135
qualitative benchmarks
, 134
Shareability
, 121
Social media
, 76–77, 89
Specificity insights
, 58
Stakeholder and alignment insights
, 59
Storytelling
, 162
Suggested search (Google)
, 132
Technology
, 70–71
Text migration
, 161
Time restrictions
, 70
Topical blindness
, 71
Topic research
, 43
Trust signals
, 106
Twitter
, 89–92
URL structures
, 123–124
Usability
, 122
UTM tracking code
, 100
Value-based clustering
, 163
Value stack
, 7–9
Variety
, 7
Velocity
, 7
Veracity
, 7
Visualisation insights
, 59
Visuals
, 125
Voice/screenless search
, 114–117
Volume
, 7
Webinars
, 124
Websites
, 101–105
Workflows
, 78
YMOYL
, 102
- Prelims
- Chapter 1 Introducing Data-driven Content
- Chapter 2 Understanding the Data Ecosystem
- Chapter 3 Data Collection and Management
- Chapter 4 Transforming Data into Content
- Chapter 5 Understanding Why Your Content Isn’t Working
- Chapter 6 Creating Content for Marketing Channels
- Chapter 7 Overcoming Content Barriers
- Chapter 8 Making Your Content Work Harder
- Chapter 9 Evaluating Content Success
- Chapter 10 The Future of Data-driven Content
- References
- Index