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Monitoring Bootcamp Bogota
10/31/13 Marshall Sponder WebMetricsGuru Inc.
Monitoring
Boot camp
Bogota

10/31/13

Marshall Sponder WebMetricsGuru Inc.
WebMetricsGuru INC.
Some of the companies I have worked with
IT/Unix

SEO /Web
Analytics

CORPORATE MKG /PR
ANAL
Social Media has several use cases

Care of Gary Angel – E&Y
Different tools are needed for different situations
Operational
Metrics

Listening &
Influence
Categorization

Advanced NLP
Analysis
Customer
Support

Product &
Customer
Research

Public
Relations

Uses of
Social
Social CRM

Customer Data
Integration

Campaigns

Communities

Listening &
Web Analytics

Engagement &
Attrition

Care of Gary Angel – E&Y
Matching platforms to meet the need
•
•
•
•
•
•
•
•
•

NM Incite
Radian6
Brandwatch
Sysomos MAP/Heartbeat
Clarabridge
SAS
In-Community Tools
Recorded Future
Momentfeed (Geo-location)

[Customer Integration]
[Listening and Influence]
[Listening and Influence]
[Listening and Influence]
[Advanced NLP]
[Advanced NLP]
[Engagement & Attention]
[Advanced NLP]
[Customer Integration]
Understanding the situation makes choices of
platform tools much easier
Consumer Research

PR Monitoring &
Support

Social Campaigns

Listening for Insights

Listening and
Engagement

Automating of the
engagement

Social Media
Coverage

Traditional
Media Coverage

Workflow

NLP (machine
learning)

Influencer
Identification

Operational
Metrics

Rich
Categorization

Topic
Categorization

Low-Latency

Care of Gary Angel – E&Y
Identify right use cases for your situation
Consumer
Sentiment
• How do our
customers
perceive us?
• What are our
brand strengths?
• What drives
consumer
choice?

PR Effectiveness
• What Key Influencers Think
• Have we shaped their Message
• Can we talk to them directly

Social Campaign
Effectiveness
• Are our customers engaged
• Have we sold product
• Did we drive PII and Site Traffic
Avoid Redundancy

Care of Gary Angel – Semphonic.com

Full Service
Care of Gary Angel – E&Y
Identify Internal Stakeholders and Platforms
4 Types of Platforms
Platform Definitions
• Self serve –
etc.

Brandwatch, Radian6, Sysomos,

• Full service –

Synthesio

• Hybrid –

Additional Reporting included with
Self Serve.

• Internal –

Some companies build their own
listening and analytics platforms
for internal/private use.
Social Intelligence – Making sense
of Social Media Messages
Social Scoring – Analyze social profiles
and organize them in your own unique
way, hopefully to be actionable.
Social Marketing Management – Build your
Brand through customer interactions
Analytics – Campaign performance
and Industry benchmarking
Mix of
different
platform
types and
service
models in
the social
marketing
space
At least Four Levels of Social
Media Maturity
First Level: Monitoring

Radian6 / Sysomos good examples of “monitoring Function”
in SMM.
Example of monitoring – River of News

Manual, labor intensive,
subjective, not scalable,
mostly a “news feed”.
Second Level:
Online Research
Example of Market Research
1

Speed
Style

Hardware

0.5

Screen Res.

Form Factor

Media
Integration

Gameplay

Use

Apps

OS

0
0

500

1,000

Connect
1,500

Screen Size
-0.5

Price

Reliability
-1

Care of Gary Angel – E&Y

2,000
Third Level: Social Targeting
Example of Social Targeting

Care of The New York Times
Fourth LevelCollaboration
Example of Collaboration / Social CRM
Mature Organizations get most from their Social Investments
Aside from
Social Platforms
to analyze Social
Media, media
channels are
monetized in
different ways.
Capturing
Social Data
is easier to
do for some
industry
verticals
than others
Platform Challenges
Inadequate
query length
size limits
Geo-location is
often not
specified or
too broad to be
helpful
Limited options to
sub segment data
Boolean Queries
impose limitations on
monitoring accuracy
Language Support
Issues
Interoperability issues
Immature Frameworks
Aggregators supplying
most social data
introduce data
quality/latency issues
Becoming
Strategic
Need a Plan
Example Plan
Typical Business Goals (Business Objectives)
Business Goal

Target

1. Increase Market Share by X%

(this/next Y/Q)

2. Increase Business Income/Profit by X%

(this/next Y/Q)

3. Save X% of our (monthly/quarterly) spent

(this/next Y/Q)

4. Improve Productivity by X%

(this/next Y/Q)

5. Improve Services provided by X%

(this/next Y/Q)

6. Increase Company Profit by X%

(this/next Y/Q)

7. Improve Team Productivity by X%

(this/next Y/Q)

8. Improve/increase worker productivity by X%

(this/next Y/Q)

9. Open New Offices (#)

(this/next Y/Q)

10.Find/Create New Business Opportunities (#)

(this/next Y/Q)

11.Increase Sales Bookings by (#)

(this/next Y/Q)

12.What are the sales drivers & Incentives

(this/next Y/Q)

13.What are your sales drivers & Incentives?

(this/next Y/Q)

14.How and where to do we generate leads (#/%)? (this/next Y/Q)
Set Realistic measures and thresholds (DSS)
• What Measures do you want to track?
• What Decisions would you make differently if the
one of the measures was surprisingly high or low?
• What is the threshold of the measure? In other
words, at what point if the value was exceeded or
dipped would an alternative action take place?

Source: Douglas Hubbard - The Pulse
Frameworks are need to create context in social data – often this has
to be assigned by humans though machine learning is improving

http://metricsman.wordpress.com/2013/06/12/a-new-framework-for-social-media-metrics-and-measurement/
Business Metrics are much more useful than channel and program
metrics (micro conversions) but are harder to formulate and customize

http://metricsman.wordpress.com/2013/06/12/a-new-framework-for-social-media-metrics-and-measurement/
Previous Business Investment/ Size

Time Spent – Data Cleaning

Customization Required

Determining Platform Investment
Big Data is causing profound
changes

Structured
1950’s

1960’s

1970’s

Unstructured
1980’s

1990’s

2000-2010

2011-2020
We need to learn ways to organize information
in a useful way
Offline
WOM
Search

Social
Data

Hybrid
email
Survey

Web
Intelligence

POS

CRM

UV Data

Unified
Information
Media Channels often need their own Analytics to
best understand the impact of media efforts
Clouds are still maturing and may not suit all
businesses or use cases
Salesforce, Oracle, Adobe and Microsoft have
all wagered that marketing, sales and social
clouds could solve many of the tougher
marketing analytics issues organizations have
Unstructured Data is Growing much faster
than structured data

1950’s 1960’s 1970’s 1980’s 1990’s

2000-2010

2011-2020
Twitter explains how Chris Hadfield went viral
Understanding
how social
media spreads
has become a
major interest
as well as the
subject of a
new course
@Rutgers

Facegroup »
Twitter Video
Virality - Chris
Hadfield
Rutgers University & Unruly partnering to create a
course about the details around Creating Viral Media
(using Big Data)

Launching late 2013
Workshop Exercises
1. Analyzing CongresoSM using Social Media Analytics – pick 3 metrics to
track
Metric 1

Metric 2

Metric 3

Based on the Metrics you choose – what do you think your measurement goal is?
What platforms are best to use to track the conference based on the goal (s)
expressed?
Any special considerations that need to be taken into account with this situation?

How long would you track the conference (days/weeks months before/after)?
Workshop Exercises
2. What would be a business metric for Exposure? Engagement?

?

?

http://metricsman.wordpress.com/2013/06/12/a-new-framework-for-social-media-metrics-and-measurement/
Workshop Exercises
3. How do you determine content has gone viral?

Viral Metric 1

Viral Metric 2

Viral Metric 3
Thank You!
¡Gracias!

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Social monitoring bootcamp Bogota, Colobmia

  • 1. Monitoring Bootcamp Bogota 10/31/13 Marshall Sponder WebMetricsGuru Inc.
  • 4. Some of the companies I have worked with IT/Unix SEO /Web Analytics CORPORATE MKG /PR ANAL
  • 5. Social Media has several use cases Care of Gary Angel – E&Y
  • 6. Different tools are needed for different situations Operational Metrics Listening & Influence Categorization Advanced NLP Analysis Customer Support Product & Customer Research Public Relations Uses of Social Social CRM Customer Data Integration Campaigns Communities Listening & Web Analytics Engagement & Attrition Care of Gary Angel – E&Y
  • 7. Matching platforms to meet the need • • • • • • • • • NM Incite Radian6 Brandwatch Sysomos MAP/Heartbeat Clarabridge SAS In-Community Tools Recorded Future Momentfeed (Geo-location) [Customer Integration] [Listening and Influence] [Listening and Influence] [Listening and Influence] [Advanced NLP] [Advanced NLP] [Engagement & Attention] [Advanced NLP] [Customer Integration]
  • 8. Understanding the situation makes choices of platform tools much easier Consumer Research PR Monitoring & Support Social Campaigns Listening for Insights Listening and Engagement Automating of the engagement Social Media Coverage Traditional Media Coverage Workflow NLP (machine learning) Influencer Identification Operational Metrics Rich Categorization Topic Categorization Low-Latency Care of Gary Angel – E&Y
  • 9. Identify right use cases for your situation Consumer Sentiment • How do our customers perceive us? • What are our brand strengths? • What drives consumer choice? PR Effectiveness • What Key Influencers Think • Have we shaped their Message • Can we talk to them directly Social Campaign Effectiveness • Are our customers engaged • Have we sold product • Did we drive PII and Site Traffic
  • 10. Avoid Redundancy Care of Gary Angel – Semphonic.com Full Service Care of Gary Angel – E&Y
  • 12. 4 Types of Platforms
  • 13. Platform Definitions • Self serve – etc. Brandwatch, Radian6, Sysomos, • Full service – Synthesio • Hybrid – Additional Reporting included with Self Serve. • Internal – Some companies build their own listening and analytics platforms for internal/private use.
  • 14. Social Intelligence – Making sense of Social Media Messages
  • 15. Social Scoring – Analyze social profiles and organize them in your own unique way, hopefully to be actionable.
  • 16. Social Marketing Management – Build your Brand through customer interactions
  • 17. Analytics – Campaign performance and Industry benchmarking
  • 18. Mix of different platform types and service models in the social marketing space
  • 19. At least Four Levels of Social Media Maturity
  • 20. First Level: Monitoring Radian6 / Sysomos good examples of “monitoring Function” in SMM.
  • 21. Example of monitoring – River of News Manual, labor intensive, subjective, not scalable, mostly a “news feed”.
  • 23. Example of Market Research 1 Speed Style Hardware 0.5 Screen Res. Form Factor Media Integration Gameplay Use Apps OS 0 0 500 1,000 Connect 1,500 Screen Size -0.5 Price Reliability -1 Care of Gary Angel – E&Y 2,000
  • 24. Third Level: Social Targeting
  • 25. Example of Social Targeting Care of The New York Times
  • 27. Example of Collaboration / Social CRM
  • 28. Mature Organizations get most from their Social Investments
  • 29. Aside from Social Platforms to analyze Social Media, media channels are monetized in different ways.
  • 30. Capturing Social Data is easier to do for some industry verticals than others
  • 33. Geo-location is often not specified or too broad to be helpful
  • 34. Limited options to sub segment data
  • 35. Boolean Queries impose limitations on monitoring accuracy
  • 39. Aggregators supplying most social data introduce data quality/latency issues
  • 43. Typical Business Goals (Business Objectives) Business Goal Target 1. Increase Market Share by X% (this/next Y/Q) 2. Increase Business Income/Profit by X% (this/next Y/Q) 3. Save X% of our (monthly/quarterly) spent (this/next Y/Q) 4. Improve Productivity by X% (this/next Y/Q) 5. Improve Services provided by X% (this/next Y/Q) 6. Increase Company Profit by X% (this/next Y/Q) 7. Improve Team Productivity by X% (this/next Y/Q) 8. Improve/increase worker productivity by X% (this/next Y/Q) 9. Open New Offices (#) (this/next Y/Q) 10.Find/Create New Business Opportunities (#) (this/next Y/Q) 11.Increase Sales Bookings by (#) (this/next Y/Q) 12.What are the sales drivers & Incentives (this/next Y/Q) 13.What are your sales drivers & Incentives? (this/next Y/Q) 14.How and where to do we generate leads (#/%)? (this/next Y/Q)
  • 44. Set Realistic measures and thresholds (DSS) • What Measures do you want to track? • What Decisions would you make differently if the one of the measures was surprisingly high or low? • What is the threshold of the measure? In other words, at what point if the value was exceeded or dipped would an alternative action take place? Source: Douglas Hubbard - The Pulse
  • 45. Frameworks are need to create context in social data – often this has to be assigned by humans though machine learning is improving http://metricsman.wordpress.com/2013/06/12/a-new-framework-for-social-media-metrics-and-measurement/
  • 46. Business Metrics are much more useful than channel and program metrics (micro conversions) but are harder to formulate and customize http://metricsman.wordpress.com/2013/06/12/a-new-framework-for-social-media-metrics-and-measurement/
  • 47. Previous Business Investment/ Size Time Spent – Data Cleaning Customization Required Determining Platform Investment
  • 48. Big Data is causing profound changes Structured 1950’s 1960’s 1970’s Unstructured 1980’s 1990’s 2000-2010 2011-2020
  • 49. We need to learn ways to organize information in a useful way Offline WOM Search Social Data Hybrid email Survey Web Intelligence POS CRM UV Data Unified Information
  • 50. Media Channels often need their own Analytics to best understand the impact of media efforts
  • 51. Clouds are still maturing and may not suit all businesses or use cases
  • 52. Salesforce, Oracle, Adobe and Microsoft have all wagered that marketing, sales and social clouds could solve many of the tougher marketing analytics issues organizations have
  • 53. Unstructured Data is Growing much faster than structured data 1950’s 1960’s 1970’s 1980’s 1990’s 2000-2010 2011-2020
  • 54. Twitter explains how Chris Hadfield went viral
  • 55. Understanding how social media spreads has become a major interest as well as the subject of a new course @Rutgers Facegroup » Twitter Video Virality - Chris Hadfield
  • 56. Rutgers University & Unruly partnering to create a course about the details around Creating Viral Media (using Big Data) Launching late 2013
  • 57. Workshop Exercises 1. Analyzing CongresoSM using Social Media Analytics – pick 3 metrics to track Metric 1 Metric 2 Metric 3 Based on the Metrics you choose – what do you think your measurement goal is? What platforms are best to use to track the conference based on the goal (s) expressed? Any special considerations that need to be taken into account with this situation? How long would you track the conference (days/weeks months before/after)?
  • 58. Workshop Exercises 2. What would be a business metric for Exposure? Engagement? ? ? http://metricsman.wordpress.com/2013/06/12/a-new-framework-for-social-media-metrics-and-measurement/
  • 59. Workshop Exercises 3. How do you determine content has gone viral? Viral Metric 1 Viral Metric 2 Viral Metric 3