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Meet Norman: Just
called your service desk
to say his new car died
Did you know he runs
marketing for a social
media startup?

Meet Zu: Being
treated for a rare
condition
Just wrote that
she can’t afford
her medication.

Meet Gina: Cloud
technology expert
1,732 of her friends
opened the link in
her last post.

Meet Ron: Looking for
new opportunities
Hasn’t applied for your
opening, but he’s perfect
for the job.

Focus on the
People with
Impact

Social Media for Customer Service Summit
Mark Hatch, CEO
October 22, 2013
Solving the listening and priority problems
mPACT

Sentiment
• Applied to all
captured
content
• Enables trend
analysis for
industries, topic
s, companies

Topic
• Frequency a
person speaks
on a specific
topic, weighted
for most recent
• Measures
contextual
relevance

Authority
• Number of
follow-on
comments, Tw
eets created
when a person
speaks on a
specific topic
• Accounts for
social capital of
secondary
voices
• Measures
engagement

2

Reach

Resonance

• Weighted
calculation of a
person’s
followers

• Tracks
dissemination
of
content, covera
ge and
commentary as
it happens

• Assigns weight
to channel of
communication
• Measures social
capital

• Enables alerts
when content
goes viral by
“jumping
channels”
Case study: retail pharmacy
• Goal: improve customer service response to
prescription errors
• Challenge: brand name also a familiar noun
• Solution: customer identification and
engagement, plus social intelligence
• Results:
– Near-real time identification of prescription mis-fills for
rapid customer service response
– Trend data on the historical performance of the
pharmacy against its competitors
– Identification of external factors such as new
medications or FDA warnings
– Insights on overall operational/process issues
– Insights on operational issues by outlet, region, state
3
Solving the priority problem: reactive
Mark’s call is placed at
the top of a call center
agent’s in-channel
phone queue

Ticket includes both
social profile data –
impact score, live links
to social and nonsocial streams

And historical CRM
data – purchase
history, service records

4
Solving the priority problem: proactive
Alert is created for outof-channel customer
service issues – sent to
team of “elite” agents
for proactive outreach
Ticket includes social
profile data – impact
score, live links to social
and non-social streams
But focus is on
sentiment and content
of relevant
conversations, which
are presented to
service agent for proper
context
5
Using resonance analysis to close the loop

mPACT resonance analysis looks beyond the original post to identify individuals whose
mentions and references to the story have the greatest impact on the dissemination of
that story -- enhancing your ability to shape the stories about your brand.
6
Thank you!

Mark Hatch
CEO
mhatch@mblast.com
617.771.4985
www.mblast.com
Booth 4

7

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mBLAST for Social Media Customer Service Summit

  • 1. Meet Norman: Just called your service desk to say his new car died Did you know he runs marketing for a social media startup? Meet Zu: Being treated for a rare condition Just wrote that she can’t afford her medication. Meet Gina: Cloud technology expert 1,732 of her friends opened the link in her last post. Meet Ron: Looking for new opportunities Hasn’t applied for your opening, but he’s perfect for the job. Focus on the People with Impact Social Media for Customer Service Summit Mark Hatch, CEO October 22, 2013
  • 2. Solving the listening and priority problems mPACT Sentiment • Applied to all captured content • Enables trend analysis for industries, topic s, companies Topic • Frequency a person speaks on a specific topic, weighted for most recent • Measures contextual relevance Authority • Number of follow-on comments, Tw eets created when a person speaks on a specific topic • Accounts for social capital of secondary voices • Measures engagement 2 Reach Resonance • Weighted calculation of a person’s followers • Tracks dissemination of content, covera ge and commentary as it happens • Assigns weight to channel of communication • Measures social capital • Enables alerts when content goes viral by “jumping channels”
  • 3. Case study: retail pharmacy • Goal: improve customer service response to prescription errors • Challenge: brand name also a familiar noun • Solution: customer identification and engagement, plus social intelligence • Results: – Near-real time identification of prescription mis-fills for rapid customer service response – Trend data on the historical performance of the pharmacy against its competitors – Identification of external factors such as new medications or FDA warnings – Insights on overall operational/process issues – Insights on operational issues by outlet, region, state 3
  • 4. Solving the priority problem: reactive Mark’s call is placed at the top of a call center agent’s in-channel phone queue Ticket includes both social profile data – impact score, live links to social and nonsocial streams And historical CRM data – purchase history, service records 4
  • 5. Solving the priority problem: proactive Alert is created for outof-channel customer service issues – sent to team of “elite” agents for proactive outreach Ticket includes social profile data – impact score, live links to social and non-social streams But focus is on sentiment and content of relevant conversations, which are presented to service agent for proper context 5
  • 6. Using resonance analysis to close the loop mPACT resonance analysis looks beyond the original post to identify individuals whose mentions and references to the story have the greatest impact on the dissemination of that story -- enhancing your ability to shape the stories about your brand. 6

Editor's Notes

  1. Special class of followers Not all followers are created equal