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Secrets	
  To	
  Closing	
  More	
  
Deals	
  Using	
  Big	
  Data	
  
Analy6cs	
  
Swayne	
  Hill,	
  SVP	
  Sales	
  
Min0go	
  
5	
  Ways	
  We	
  Use	
  Big	
  Data	
  
1. 
2. 
3. 
4. 
5. 

Priori0ze	
  Accounts	
  (+25%)	
  
Find	
  the	
  best	
  contacts	
  (2X)	
  
Learn	
  their	
  interests	
  (+40%)	
  
Create	
  a	
  personalized	
  approach	
  (3X)	
  
Engage	
  all	
  buyer	
  roles	
  in	
  the	
  sales	
  cycle	
  (+20%)	
  
Priori6ze	
  Accounts	
  
We	
  used	
  to…	
  
•  Assign	
  territories	
  and	
  priori0ze	
  
leads	
  based	
  on	
  state,	
  city,	
  
company	
  size	
  and	
  industry	
  	
  

Problem	
  
•  Arbitrary	
  coverage	
  
•  Missed	
  opportunity	
  
•  Demo0vated	
  AE’s	
  
Using	
  Big	
  Data	
  Analy6cs	
  
…we	
  generated	
  a	
  
more	
  precise	
  
defini0on	
  of	
  our	
  
total	
  addressable	
  
market	
  (TAM)	
  

Invested	
  in	
  
Marke0ng	
  
Automa0on	
  

Early	
  	
  
Technology	
  
Adopters	
  

Business-­‐to-­‐
Business	
  
High	
  PPC	
  
Spenders	
  
TAM	
  Size	
  &	
  Elements	
  
Priori6ze	
  Accounts	
  
Now	
  we…	
  
•  Align	
  territories	
  based	
  on	
  
the	
  true	
  distribu0on	
  of	
  TAM	
  
•  Priori0ze	
  and	
  route	
  leads	
  
based	
  on	
  TAM	
  fit	
  
•  Get	
  op0mal	
  coverage	
  on	
  
the	
  best	
  opportunites	
  
Find	
  The	
  Best	
  Contacts	
  
We	
  used	
  to…	
  
•  Buy	
  ‘000’s	
  of	
  contacts	
  from	
  
D&B,	
  OneSource,	
  InfoGroup,	
  
Data.com	
  and	
  the	
  like	
  

Problem	
  
•  Stale	
  contact	
  details	
  
•  Poor	
  targe0ng	
  value	
  
•  Waste	
  of	
  0me	
  for	
  AE’s	
  

Your	
  Favorite	
  List	
  Broker	
  
SELECT	
  *	
  	
  
FROM	
  “Contacts”	
  	
  
WHERE	
  “JobTitle”	
  =	
  ‘VP’	
  	
  
OR	
  “JobTitle”	
  =	
  ‘CIO’	
  	
  
ORDER	
  BY	
  “State”	
  
Using	
  Big	
  Data	
  Analy6cs	
  
…we	
  found	
  signals	
  
indica0ng	
  who	
  is	
  
more	
  likely	
  to	
  
engage	
  

VP	
  
We	
  Learn	
  More	
  Every	
  Day	
  
Find	
  The	
  Best	
  Contacts	
  
Now	
  we	
  look	
  for	
  things	
  like…	
  
•  Smiling	
  faces	
  (3.8x	
  more)	
  
•  New	
  on	
  the	
  Job	
  (2.5x	
  more)	
  
•  Socially	
  ac0ve	
  (2x	
  more	
  likely)	
  

And	
  avoid…	
  
•  VP	
  job-­‐level	
  (9x	
  less)	
  	
  

✔	
  
✔	
  

✔	
  
VP	
  

✖	
  
Learn	
  Their	
  Interests	
  
We	
  used	
  to…	
  
•  Seek	
  out	
  research	
  analysts	
  
•  Go	
  to	
  conference	
  keynotes	
  
•  Educate	
  ourselves	
  on	
  
industry	
  trends	
  
Problem	
  
•  Disconnected	
  from	
  reality	
  
Using	
  Big	
  Data	
  Analy6cs	
  
...we	
  scan	
  social	
  
networks	
  looking	
  
for	
  paeerns	
  in	
  our	
  
TAM	
  that	
  reveal	
  
poten0al	
  interests	
  
Looking	
  for	
  Likely	
  Interests	
  
Learn	
  Their	
  Interests	
  
Now	
  we	
  know…	
  
•  Who	
  they	
  follow	
  and	
  what	
  
they	
  share	
  on	
  Twieer	
  
•  Which	
  groups	
  they’re	
  
affiliated	
  with	
  on	
  LinkedIn	
  
•  What	
  technologies	
  they	
  use	
  
and	
  projects	
  that	
  may	
  be	
  
emerging	
  for	
  them	
  
Personalized	
  Approach	
  
We	
  used	
  to…	
  
•  Batch,	
  blast	
  email	
  and	
  dial	
  for	
  dollars	
  
•  Figure	
  we’d	
  make	
  up	
  for	
  quality	
  on	
  
volume	
  

Problem	
  
•  Missed	
  opportunity	
  to	
  make	
  a	
  
sincere	
  connec0on	
  
•  Burned	
  out	
  our	
  market	
  
Using	
  Big	
  Data	
  Analy6cs	
  
…	
  we	
  translate	
  interests	
  into	
  personaliza0on	
  

What
we’re
selling!

Relevant!

What
interests
them!
Personalized	
  Approach	
  
No	
  we…	
  
•  Insert	
  intelligence	
  into	
  our	
  
intro	
  messaging	
  
•  Do	
  it	
  at	
  scale	
  using	
  
Salesforce	
  variable	
  
replacements	
  and	
  HTML	
  
templates	
  
•  Get	
  3x	
  higher	
  connec0on	
  
rates	
  
Engage	
  All	
  Buyers	
  
We	
  used	
  to…	
  
•  Travel	
  for	
  face-­‐to-­‐face	
  mee0ngs	
  
•  Buy	
  lunches	
  
•  Play	
  golf	
  
Problem	
  
•  Too	
  expensive	
  and	
  makes	
  
an	
  AE	
  single-­‐threaded	
  
Using	
  Big	
  Data	
  
…we	
  enrich	
  
accounts	
  with	
  more	
  
contacts	
  and	
  
automa0cally	
  
segment	
  them	
  into	
  
buyer	
  roles	
  
Upload	
  More	
  Contacts	
  
They’re	
  Routed	
  to	
  Personas	
  
Sent	
  For	
  Nurture	
  
Engage	
  All	
  Buyers	
  
Now	
  we…	
  
•  Nurture	
  contacts	
  all	
  around	
  
our	
  entry	
  point	
  with	
  relevant	
  
messaging	
  and	
  content	
  
•  Warm	
  up	
  the	
  decision-­‐group	
  
even	
  before	
  they	
  get	
  pulled	
  
into	
  the	
  process	
  
•  Eased	
  a	
  single-­‐point-­‐of-­‐failure	
  
Send	
  ROI	
  	
  
problem	
  for	
  AE’s	
  
stories	
  

Invite	
  to	
  Best	
  
Prac0ce	
  Webinars	
  

Send	
  Analyst	
  
Research	
  Reports	
  
Big	
  Data	
  Analy6cs	
  =	
  Sell	
  More	
  
1. 
2. 
3. 
4. 
5. 

Priori0ze	
  Accounts	
  (+25%)	
  
Find	
  the	
  best	
  contacts	
  (2X)	
  
Learn	
  their	
  interests	
  (+40%)	
  
Create	
  a	
  personalized	
  approach	
  (3X)	
  
Engage	
  all	
  buyer	
  roles	
  in	
  the	
  sales	
  cycle	
  (+20%)	
  
Min6go	
  Can	
  Help	
  
Take	
  the	
  next	
  step…	
  
•  Check	
  out	
  www.min0go.com	
  
•  Register	
  for	
  a	
  product	
  demonstra0on	
  
•  Talk	
  to	
  one	
  of	
  our	
  experts	
  
Secrets	
  To	
  Closing	
  More	
  
Deals	
  Using	
  Big	
  Data	
  
Analy6cs	
  
Swayne	
  Hill,	
  SVP	
  Sales	
  
Min0go	
  

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[Mintigo Webinar] 5 Secrets To Closing More Deals Using Big Data Analytics

  • 1. Secrets  To  Closing  More   Deals  Using  Big  Data   Analy6cs   Swayne  Hill,  SVP  Sales   Min0go  
  • 2. 5  Ways  We  Use  Big  Data   1.  2.  3.  4.  5.  Priori0ze  Accounts  (+25%)   Find  the  best  contacts  (2X)   Learn  their  interests  (+40%)   Create  a  personalized  approach  (3X)   Engage  all  buyer  roles  in  the  sales  cycle  (+20%)  
  • 3. Priori6ze  Accounts   We  used  to…   •  Assign  territories  and  priori0ze   leads  based  on  state,  city,   company  size  and  industry     Problem   •  Arbitrary  coverage   •  Missed  opportunity   •  Demo0vated  AE’s  
  • 4. Using  Big  Data  Analy6cs   …we  generated  a   more  precise   defini0on  of  our   total  addressable   market  (TAM)   Invested  in   Marke0ng   Automa0on   Early     Technology   Adopters   Business-­‐to-­‐ Business   High  PPC   Spenders  
  • 5. TAM  Size  &  Elements  
  • 6. Priori6ze  Accounts   Now  we…   •  Align  territories  based  on   the  true  distribu0on  of  TAM   •  Priori0ze  and  route  leads   based  on  TAM  fit   •  Get  op0mal  coverage  on   the  best  opportunites  
  • 7. Find  The  Best  Contacts   We  used  to…   •  Buy  ‘000’s  of  contacts  from   D&B,  OneSource,  InfoGroup,   Data.com  and  the  like   Problem   •  Stale  contact  details   •  Poor  targe0ng  value   •  Waste  of  0me  for  AE’s   Your  Favorite  List  Broker   SELECT  *     FROM  “Contacts”     WHERE  “JobTitle”  =  ‘VP’     OR  “JobTitle”  =  ‘CIO’     ORDER  BY  “State”  
  • 8. Using  Big  Data  Analy6cs   …we  found  signals   indica0ng  who  is   more  likely  to   engage   VP  
  • 9. We  Learn  More  Every  Day  
  • 10. Find  The  Best  Contacts   Now  we  look  for  things  like…   •  Smiling  faces  (3.8x  more)   •  New  on  the  Job  (2.5x  more)   •  Socially  ac0ve  (2x  more  likely)   And  avoid…   •  VP  job-­‐level  (9x  less)     ✔   ✔   ✔   VP   ✖  
  • 11. Learn  Their  Interests   We  used  to…   •  Seek  out  research  analysts   •  Go  to  conference  keynotes   •  Educate  ourselves  on   industry  trends   Problem   •  Disconnected  from  reality  
  • 12. Using  Big  Data  Analy6cs   ...we  scan  social   networks  looking   for  paeerns  in  our   TAM  that  reveal   poten0al  interests  
  • 13. Looking  for  Likely  Interests  
  • 14. Learn  Their  Interests   Now  we  know…   •  Who  they  follow  and  what   they  share  on  Twieer   •  Which  groups  they’re   affiliated  with  on  LinkedIn   •  What  technologies  they  use   and  projects  that  may  be   emerging  for  them  
  • 15. Personalized  Approach   We  used  to…   •  Batch,  blast  email  and  dial  for  dollars   •  Figure  we’d  make  up  for  quality  on   volume   Problem   •  Missed  opportunity  to  make  a   sincere  connec0on   •  Burned  out  our  market  
  • 16. Using  Big  Data  Analy6cs   …  we  translate  interests  into  personaliza0on   What we’re selling! Relevant! What interests them!
  • 17. Personalized  Approach   No  we…   •  Insert  intelligence  into  our   intro  messaging   •  Do  it  at  scale  using   Salesforce  variable   replacements  and  HTML   templates   •  Get  3x  higher  connec0on   rates  
  • 18. Engage  All  Buyers   We  used  to…   •  Travel  for  face-­‐to-­‐face  mee0ngs   •  Buy  lunches   •  Play  golf   Problem   •  Too  expensive  and  makes   an  AE  single-­‐threaded  
  • 19. Using  Big  Data   …we  enrich   accounts  with  more   contacts  and   automa0cally   segment  them  into   buyer  roles  
  • 21. They’re  Routed  to  Personas  
  • 23. Engage  All  Buyers   Now  we…   •  Nurture  contacts  all  around   our  entry  point  with  relevant   messaging  and  content   •  Warm  up  the  decision-­‐group   even  before  they  get  pulled   into  the  process   •  Eased  a  single-­‐point-­‐of-­‐failure   Send  ROI     problem  for  AE’s   stories   Invite  to  Best   Prac0ce  Webinars   Send  Analyst   Research  Reports  
  • 24. Big  Data  Analy6cs  =  Sell  More   1.  2.  3.  4.  5.  Priori0ze  Accounts  (+25%)   Find  the  best  contacts  (2X)   Learn  their  interests  (+40%)   Create  a  personalized  approach  (3X)   Engage  all  buyer  roles  in  the  sales  cycle  (+20%)  
  • 25. Min6go  Can  Help   Take  the  next  step…   •  Check  out  www.min0go.com   •  Register  for  a  product  demonstra0on   •  Talk  to  one  of  our  experts  
  • 26. Secrets  To  Closing  More   Deals  Using  Big  Data   Analy6cs   Swayne  Hill,  SVP  Sales   Min0go