Upload
phungtram
View
213
Download
0
Embed Size (px)
Citation preview
1 ©2017 Content Science
CONTENT INTELLIGENCE Dream Big, Start Small, See Impact
COLLEEN JONES @leenjones l content-science.com
18 ©2017 Content Science
THE CONTENT INTELLIGENCE PROCESS
Collect + Analyze
2
3 Interpret + Act
Ask 1
19 ©2017 Content Science
HOW NOT TO START
DROWNING YOURSELF IN THE DATA…
31 ©2017 Content Science
WEB / CHANNEL
ANALYTICS
CONTENT SURVEY DATA
CUSTOMER INQUIRIES + SENTIMENT
BUSINESS METRICS
Ins ight + Act ion C o n t e n t R O I C o n t e n t E f f e c t i v e n e s s C o n t e n t Va l u e
C u s t o m e r I n s i g h t P r e d i c t i o n
Analys is + Interpretat ion A s k C o n t e n t
Q u e s t i o n s M i n e f o r A n s w e r s
T r i a n g u l a t e D a t a
31
DATA COLLECTION FROM MULTIPLE SOURCES
2 COLLECT + ANALYZE
35 ©2017 Content Science
2 COLLECT + ANALYZE TIPS FOR GATHERING THE RIGHT DATA EFFICIENTLY
" Focus on data that inform answers to your questions, not all data or vanity metrics.
" Strive for a consistent, systematic approach.
" Rely on quantitative data when possible.
" Use more than behavioral analytics and tools for evaluation.
" Pick data collection tools strategically.
36 ©2017 Content Science
MARKETING: Positioning Digital Magazine
Goal is to raise awareness and position with midsize businesses
REACH DID OUR CONTENT ATTRACT MIDSIZE BUSINESSES? • Number of visitors for the month / quarter • Percentage of those visitors who work for midsize businesses
ENGAGEMENT
WHAT DID MIDSIZE BUSINESSES DO WITH OUR CONTENT? • Average time spent on the site for the month / quarter • Average number of page views for the month / quarter • Average number of shares per article, video, or content type for the month / quarter • Number of repeat visitors for the month / quarter
PERCEPTION
DID OUR CONTENT CHANGE HOW MIDSIZE BUSINESSES VIEW OUR EXPERTISE? • Percentage of visitors who view the website as a trusted source of content to help their business • Percentage of visitors who view our company as midsize business experts
GOALDIM
ENSION
37 ©2017 Content Science
2 COLLECT + ANALYZE PICK TOOLS THAT GIVE A MIX OF QUANTITATIVE DATA
44 ©2017 Content Science
3 INTERPRET + ACT: SO WHAT DO WE DO ABOUT IT?
Do at least one of the following…
CONFIRM +
CONTINUE
ADJUST OR
OPTIMIZE STUDY
FURTHER
45 ©2017 Content Science
Optimizing photos made a statistically significant difference to consumer sales for IHG.
ADJUST + OPTIMIZE
46 ©2017 Content Science
Optimizing photos made a statistically significant difference to consumer sales for IHG.
ADJUST + OPTIMIZE
47 ©2017 Content Science
STUDY FURTHER ROAD TO RECOVERY PROGRAM
BEFORE 1 page for all audiences
48 ©2017 Content Science
AFTER Content tailored to patients +
volunteers
STUDY FURTHER ROAD TO RECOVERY PROGRAM
BEFORE 1 page for all audiences
54 ©2017 Content Science
Is the result worth the cost to achieve it?
• Did the increase in sales recoup the costs and more of the content marketing?
• Was producing and maintaining the marketing / sales content cheaper than a traditional ad campaign?
• Did evergreen marketing content provide repeatable value (e.g. longer shelf life) vs a temporary ad campaign?
• Can the content be reused throughout the customer lifecycle (marketing, service, support)? Did the content reduce support costs or customer churn?
• Did the marketing content increase the effectiveness of in-store or in-person sales?
3 INTERPRET + ACT: CONNECT TO ROI
1
Framework for Evaluating Content Effectiveness
GOAL
CONT
ENT
DIM
ENSI
ON
2
Goals Drive Dimension Priority
EXPERTISEPromote Innovation
FUNDRAISINGGuided Selling
ENROLLMENTDrive Applications
Awareness Engagement Comprehension
Perception Perception Efficiency
Engagement Conversion Conversion
GOAL
CONT
ENT
DIM
ENSI
ON
23
Dimensions Help Identify Specific Questions
GOAL
FUNDRAISING: Guided SellingOngoing Communication with Potential DonorsGoal is to secure financial backing for grants, legislation, etc.
Engagement• Are potential donors engaging with content that helps educate
them about the value of donating to our organization?• Are potential donors aware of the research being done by our
organization?
Perception• Does our content help potential donors perceive our organization
positively?• Does our content influence customers to learn more about ways to
donate?
Conversion• Are users donating to our organization?• How can content consumed by new donors inform our content
strategy?
CONT
ENT
DIM
ENSI
ON
37
Dimensions Help Identify Specific Questions
GOAL
ENROLLMENT: Drive ApplicationsOutreach and Admissions
Goal is to attract best and brightest potential students.
Comprehension
• Are potential students engaging with content that helps educate them about the value of attending our institution?
• Are potential students aware of the programs offered at our institution?
• Do potential students understand what kind of experience to expect at our institution?
Efficiency• Is the application process clear to all potential students?• Does the admissions content facilitate easy application to our
organization?
Conversion• Are students applying to our organization?• How can content consumed by new applicants inform our content
strategy?
CONT
ENT
DIM
ENSI
ON
3
Dimensions Help Identify Specific Questions
GOALEXPERTISE: Promote Innovation
Ongoing Updates to Website, PressGoal is to continually strengthen perceptions and highlight research
CONT
ENT
DIM
ENSI
ON
4
Dimensions Help Identify Specific Questions
GOALEXPERTISE: Promote Innovation
Ongoing Updates to Website, PressGoal is to continually strengthen perceptions and highlight research
Awareness• Is our research, innovation, and press content being viewed on our
website?• Are our innovations and research being covered by media?• Is our content being mentioned or shared on social media?
CONT
ENT
DIM
ENSI
ON
5
Dimensions Help Identify Specific Questions
GOALEXPERTISE: Promote Innovation
Ongoing Updates to Website, PressGoal is to continually strengthen perceptions and highlight research
Awareness• Is our research, innovation, and press content being viewed on our
website?• Are our innovations and research being covered by media?• Is our content being mentioned or shared on social media?
Perception • Is our research considered authoritative and useful by our audience?• Does our content help to portray our organization positively?
CONT
ENT
DIM
ENSI
ON
6
Dimensions Help Identify Specific Questions
GOALEXPERTISE: Promote Innovation
Ongoing Updates to Website, PressGoal is to continually strengthen perceptions and highlight research
Awareness• Is our research, innovation, and press content being viewed on our
website?• Are our innovations and research being covered by media?• Is our content being mentioned or shared on social media?
Perception • Is our research considered authoritative and useful by our audience?• Does our content help to portray our organization positively?
Engagement• Are users looking for more of our content after viewing research
articles?• Do users return to our site for further research?
CONT
ENT
DIM
ENSI
ON
7
Questions Drive Measured Metrics
EXPERTISE: Awareness• Is our research, innovation, and press content being viewed on our website?• Are our innovations and research being covered by media?• Is our content being mentioned or shared on social media?
Content Analytics PR Analytics Social Media Monitoring
• Total Views/Logins• New Visitors• Content Views/Session• Most Popular Content• Internal Searches (not just
Terms – most clicked-on content)
• Overall mentions• Mentions from Top-Tier
sources• Media Reach
• Social Amplification• Overall mentions• Influencer Mentions• Post Reach
*All data sources for example purposes only
8
Example Data Gathering: Media Monitoring
• There are a number of tools available to monitor media mentions, using detailed search queries to generate “hit” lists.
9
Example Data Gathering: Media Monitoring
• Many of these tools also allow you to create dashboards to visualize and segment this data easily.
10
Example Data Gathering: Media Monitoring
Example considerations in choosing the appropriate media monitoring tool:• Volume of Queries
• Ability to Create Media Lists – Top Publications, Authors
• Segmentation – How Can the Data be Filtered?
• Competitive Analysis
• Ability to Visualize Trends
• Sentiment Analysis
• Ability to Export Data
11
Questions Drive Measured Metrics
EXPERTISE: Perception• Is our research considered authoritative and useful by our audience?
• Does our content help to portray our organization positively?
Content Analytics Voice of Customer PR & Social Sentiment Analysis
• Volume and Ratio of
Positive/Neutral/Negative
mentions
• Sentiment Trends
• Sentiment toward specific
content
*All data sources for example purposes only
• Dimensions of Content
Effectiveness
• Micro-engagements, such as
scrolling, etc.
• Content-specific feedback
from actual customers
• Satisfaction survey that
captures feedback from
customers viewing content
12
Example Data Gathering: Social Media Monitoring
• There are a number of tools available to collect the social reach of your content beyond the analytics offered by social media networks.
13
Example Data Gathering: Social Media Monitoring
• These tools also use filters to cut through the noise and show you only the mentions with the most impact for your brand.
• Users can also create dashboards to visualize data easily.
14
Example Data Gathering: Social Media Monitoring
Example considerations in choosing the appropriate social media monitoring tool:• Volume of Queries
• Ability to Create Author/Influencer Lists – By Topic
• Segmentation – How Can the Data be Filtered?
• Competitive Analysis
• Ability to Visualize Trends
• Sentiment Analysis
• Custom Metrics
• Ability to Export Data
15
Questions Drive Measured Metrics
EXPERTISE: Engagement• Are users looking for more of our content after viewing research articles?• Do users return to our site for further research?• Is our content contributing to the academic community?
Web Analytics Citation Tracking
• Pages/Visit• Retention Rates• Frequently Viewed Content in
High-Engagement Sessions
*All data sources for example purposes only
• Number of citations• Citations in Top-Tier
publications
16
Example Data Gathering: High-Engagement Sessions
• Using your web analytics tool, you can determine what the most highly-engaged visits to your website look like.
17
Example Data Gathering: High-Engagement Sessions
• You can then create a web segment to view analytics focused only on those sessions.
• Note: You may want to exclude content commonly viewed when users are unsure of where to find the right content.
18
Example Data Gathering: High-Engagement Sessions
• You can then use the Top Pages report to see the most commonly viewed content
• You can also see the most commonly viewed content at various stages in the session using either page flows or your custom variables
• You can also use visitor paths to see the top sequences of content viewed.
38
Questions Drive Measured Metrics
ENROLLMENT: Comprehension• Are potential students engaging with content that helps educate them about the value
of attending our institution?• Are potential students aware of the programs offered at our institution?• Do potential students understand what kind of experience to expect at our institution?
Content Analytics Voice of Customer
*All data sources for example purposes only
• Visitor Paths• Most Popular Content• Dimensions of Content
Effectiveness• Micro-engagements, such as
scrolling, etc.
• Content-specific feedback from actual students
• Satisfaction survey that captures feedback from customers during/after evaluation/application process
39
Questions Drive Measured Metrics
ENROLLMENT: Efficiency• Is the application process clear to all potential students?
• Does the admissions content facilitate easy application to our organization?
Cart Analytics Content Analytics Voice of Customer
*All data sources for example purposes only
• Users beginning application
process
• Conversion & abandonment
rates
• Resumed applications
• Help requests
• Visitor Paths
• Most Popular Content
• Dimensions of Content
Effectiveness
• Micro-engagements, such as
scrolling, etc.
• Content-specific feedback from
actual applicants
• Satisfaction survey that
captures feedback from
customers during/after
application process
40
Example Data Gathering: Cart Analytics
• Cart conversion funnels allow e-commerce sites to define their checkout process, then report on conversion and abandonment rates at various steps along the way.
• Even if your application process can’t be configured as an actual cart, these same principles can be applied.
41
Example Data Gathering: Cart Analytics
• Use the Page Flow report to look at your application pages. Where are users most commonly abandoning the application process? Where are they most commonly turning to help or support content?
• Ask why applicants abandon the process. Is the content confusing? Is there a technical error that needs to be addressed? Take a look at both the content itself and the users abandoning the process to see if there are unusual characteristics that might reveal a problem.
42
Questions Drive Measured MetricsENROLLMENT: Conversion
• Are students applying to our organization?• How can content consumed by new applicants inform our content strategy?
Application Data Marketing Attribution
*All data sources for example purposes only
• Conversion Funnels• Marketing Attribution
• New Applicants
ApplyWeb