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#LLCSeries
#LLCSeries
Using	
  Predic,ve	
  Analy,cs	
  at	
  
Every	
  Stage	
  of	
  the	
  Buyer’s	
  
Journey	
  	
  
SPONSORED	
  BY	
  
#LLCSeries
Follow	
  this	
  webinar	
  on	
  LinkedIn	
  &	
  Twi>er	
  
#LLCSeries	
  	
  
Demand	
  Gen	
  Report:	
  @DG_Report	
  
LaDce	
  Engines:	
  @LaDce_Engines	
  
Brian	
  Kardon:	
  @bkardon	
  
#LLCSeries
About	
  Demand	
  Gen	
  Report	
  
•  Launched	
  in	
  2007	
  to	
  track	
  best	
  pracMces	
  in	
  	
  	
  	
  	
  	
  	
  	
  	
  
lead	
  generaMon	
  
•  Newsle>er	
  has	
  grown	
  to	
  more	
  than	
  30,000	
  
readers	
  
•  We	
  also	
  offer	
  a	
  menu	
  of	
  research	
  and	
  best	
  
pracMces	
  reports	
  	
  
•  New	
  audio/video	
  podcasts	
  at	
  
DemandGenReport.com	
  
@DG_Report	
  
h>p://linkd.in/DG_Specialists	
  	
  
#LLCSeries
On24	
  LogisMcs	
  	
  
• Whitepaper	
  
• Datasheet	
  
• Contact	
  Us	
  Link	
  
#LLCSeries
Panelists	
  
Brian	
  Kardon	
  
CMO
LaDce	
  Engines	
  	
  
	
  
MODERATOR:	
  
Andrew	
  Gaffney	
  
Publisher,	
  Demand	
  Gen	
  Report	
  
@bkardon	
  
bkardon@laDce-­‐engines.com	
  	
  
#C2C15	
  
#C2C15	
  
#C2C15	
  
#C2C15	
  
#C2C15	
  
#C2C15	
  
#C2C15	
  
What to do?
#C2C15	
  
#C2C15	
  
· Purchases
· Items you have added to cart, but abandoned
· “Dwell” times
· Product ratings
· Address
· What your neighbors buy
· Birthday
· Sizes: yours + family + friends
#C2C15	
  
We see predictive analytics every day …
Field Question
Healthcare Which patients are at risk?
Fraud detection Which transactions are fraudulent?
Insurance What is the risk of a car accident?
Online retailing What movie should be recommended?
Cable television What offer will prevent the customer from leaving?
Predicting who will buy,
what they’ll buy and when.
Predictive Marketing and Sales
Find companies
most likely to buy
Find your most
sales-ready leads
ACCOUNT
PRIORITIZATION
LEAD
PRIORITIZATION
2
3
4
Find customers
most likely to buy more
CROSS-SELL/
UP-SELL
5
Find customers
most likely to churn
PROSPECT
DISCOVERY1
Find net new
prospects
RETENTION
#C2C15	
  
How It Works
Growth Profile
Employee, location, facility, and contract growth
Social Presence
Operating Diversity
Divisions, disparity of locations  personnel
Cloud Maturity
CRM, MA, and provisioned infrastructure
Company Profile
Size, credit rating, news
Technology Profile
Installed technologies and maturity
Executive Change
Presence of new personnel
Advertising  External
Investment
Spend, trend, timing, events
1,000s of Other
Attributes
Web Page Visits
Video Views and
Engagement
Title of Contact
Form Conversations
Downloads
Webinars Attended
Campaign Response
Rates
Email Opens
Internal Data Sources
Conversion Rate
How It Works
78% likelihood
to convert (7.8x)
39% likelihood to
convert (3.9x)
Work
by Sales
Qualified
but Not
Ready
Historic Conversion
is 10%
Universe
Attributes of LEADS in this segment:
§  Growth Events
Company has experienced 15% employee growth in recent six (6) months
§  New Location
Company has opened or will open a new facility in next three (3) months
Find quality net
new leads
How are marketers using predictive analytics?
Optimize List
Buys
Monetize Your
Existing Leads
Smarter Event
Planning
Identify High
Value
Campaigns
Predictive
Remarketing
Create Target
Account Lists
Territory
Planning
Prioritize Sales
Efforts
Sell More to
Customers
Find At-Risk
Customers
Win Back
Ex-Customers
Fit: Company size, tech
use, exec changes,
geo, etc.
Intent: Whitepaper
downloads, search
terms, ad clicks, etc.
Activity: Emails opened,
sales interactions,
webinars attended, etc.
Easy to use marketing
and sales predictive
apps
How Predictive Marketing Works
Account score
Buying signals
Curse of Abundance
•  PROBLEM:  90K+  leads/quarter
•  SOLUTION:  Increased  sales  focus  and  engagement  on  leads  with  highest  
likelihood  to  convert;  decreased  focus  on  other  lead  segments
•  BENEFIT:  best  leads  engaged  with  3X  intensity,  37%  liR  in  win  rate,  greater  
overall  funnel  yield
37%
Increase in Win Rate
Funnel Expansion
▶  PROBLEM: More inside sales capacity than qualified lead volume
▶  SOLUTION: Increased lead flow to SDRs with new “PQL” lead
segment
▶  BENEFIT: SDRs are focused on the next best lead segments rather
than cold calling
30%
Increase in Lead Volume
80%
20%
Marketers Focus Primarily on New Customers,
but Most Sales Come From Existing Customers
29
30
Selling more to Staples customers: Cross-sell
Direct Mail Done Right
▶  PROBLEM: needed a more cost effective way to execute a higher cost
DM program
▶  SOLUTION: dimensional mailer to highest scoring leads, followed with
handwritten note
▶  BENEFIT: response rate more than double compared to previous similar
campaigns
50%
Reduction in Cost Per Opportunity
Smarter Event Planning
Peter Isaacson, CMO
Plan events near clusters of high scoring accounts
30%
Opportunity creation
from events
40%
Cost per lead
from events
Lattice Engines significantly increase our pipeline by
helping us focus on high value accounts.
Relationship
3+ Years
2+ Years
6+ Years
Scope
U.S.
Global
Global
§  30% improvement in
lead-to-win conversion
§  25% improvement in
lead-to-win conversion
§  +$100K incremental per
rep per year
Key Results
Game-Changing Results
Cumulative
Adoption
Time
A
B
C
D
E
F
50-60% penetration
Source: Sirius Decisions
Where is marketing automation?
Where is Predictive Marketing and Selling?
Cumulative
Adoption
Time
A
B
C
D
E
F
Source: Lattice Engines
36Proprietary 
Algorithmic trading has replaced human trading.
37Proprietary 
Who is the Jeopardy player in the middle?
Self-driving cars
Predictive Analytics for Marketing
§  The era of big data and predictive analytics is NOW
§  There is more information to discover about a prospect
than ever before
§  Leading marketing organizations are embracing
predictive analytics to dramatically improve performance
§  Marketing can lead – from lead scoring to predictive lead
scoring
§  Find your trigger … target selectively and quickly
#LLCSeries
Q	
  	
  A	
  //	
  Panelists	
  
Brian	
  Kardon	
  
CMO
LaDce	
  Engines	
  	
  
	
  
@bkardon	
  
bkardon@laDce-­‐engines.com	
  	
  
MODERATOR:	
  
Andrew	
  Gaffney	
  
Publisher,	
  Demand	
  Gen	
  Report	
  
#LLCSeries
Thanks	
  for	
  aending	
  this	
  webinar!	
  
www3.demandgenreport.com/lls15	
  	
  
NEXT	
  SESSION:	
  

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Using Predictive Analytics Every Stage Of The Buyer's Journey

  • 1. #LLCSeries #LLCSeries Using  Predic,ve  Analy,cs  at   Every  Stage  of  the  Buyer’s   Journey     SPONSORED  BY  
  • 2. #LLCSeries Follow  this  webinar  on  LinkedIn  &  Twi>er   #LLCSeries     Demand  Gen  Report:  @DG_Report   LaDce  Engines:  @LaDce_Engines   Brian  Kardon:  @bkardon  
  • 3. #LLCSeries About  Demand  Gen  Report   •  Launched  in  2007  to  track  best  pracMces  in                   lead  generaMon   •  Newsle>er  has  grown  to  more  than  30,000   readers   •  We  also  offer  a  menu  of  research  and  best   pracMces  reports     •  New  audio/video  podcasts  at   DemandGenReport.com   @DG_Report   h>p://linkd.in/DG_Specialists    
  • 4. #LLCSeries On24  LogisMcs     • Whitepaper   • Datasheet   • Contact  Us  Link  
  • 5. #LLCSeries Panelists   Brian  Kardon   CMO LaDce  Engines       MODERATOR:   Andrew  Gaffney   Publisher,  Demand  Gen  Report   @bkardon   bkardon@laDce-­‐engines.com    
  • 15. #C2C15   · Purchases · Items you have added to cart, but abandoned · “Dwell” times · Product ratings · Address · What your neighbors buy · Birthday · Sizes: yours + family + friends
  • 17. We see predictive analytics every day … Field Question Healthcare Which patients are at risk? Fraud detection Which transactions are fraudulent? Insurance What is the risk of a car accident? Online retailing What movie should be recommended? Cable television What offer will prevent the customer from leaving?
  • 18. Predicting who will buy, what they’ll buy and when.
  • 19. Predictive Marketing and Sales Find companies most likely to buy Find your most sales-ready leads ACCOUNT PRIORITIZATION LEAD PRIORITIZATION 2 3 4 Find customers most likely to buy more CROSS-SELL/ UP-SELL 5 Find customers most likely to churn PROSPECT DISCOVERY1 Find net new prospects RETENTION
  • 21. How It Works Growth Profile Employee, location, facility, and contract growth Social Presence Operating Diversity Divisions, disparity of locations personnel Cloud Maturity CRM, MA, and provisioned infrastructure Company Profile Size, credit rating, news Technology Profile Installed technologies and maturity Executive Change Presence of new personnel Advertising External Investment Spend, trend, timing, events 1,000s of Other Attributes Web Page Visits Video Views and Engagement Title of Contact Form Conversations Downloads Webinars Attended Campaign Response Rates Email Opens Internal Data Sources
  • 22. Conversion Rate How It Works 78% likelihood to convert (7.8x) 39% likelihood to convert (3.9x) Work by Sales Qualified but Not Ready Historic Conversion is 10% Universe Attributes of LEADS in this segment: §  Growth Events Company has experienced 15% employee growth in recent six (6) months §  New Location Company has opened or will open a new facility in next three (3) months
  • 23.
  • 24.
  • 25. Find quality net new leads How are marketers using predictive analytics? Optimize List Buys Monetize Your Existing Leads Smarter Event Planning Identify High Value Campaigns Predictive Remarketing Create Target Account Lists Territory Planning Prioritize Sales Efforts Sell More to Customers Find At-Risk Customers Win Back Ex-Customers
  • 26. Fit: Company size, tech use, exec changes, geo, etc. Intent: Whitepaper downloads, search terms, ad clicks, etc. Activity: Emails opened, sales interactions, webinars attended, etc. Easy to use marketing and sales predictive apps How Predictive Marketing Works Account score Buying signals
  • 27. Curse of Abundance •  PROBLEM:  90K+  leads/quarter •  SOLUTION:  Increased  sales  focus  and  engagement  on  leads  with  highest   likelihood  to  convert;  decreased  focus  on  other  lead  segments •  BENEFIT:  best  leads  engaged  with  3X  intensity,  37%  liR  in  win  rate,  greater   overall  funnel  yield 37% Increase in Win Rate
  • 28. Funnel Expansion ▶  PROBLEM: More inside sales capacity than qualified lead volume ▶  SOLUTION: Increased lead flow to SDRs with new “PQL” lead segment ▶  BENEFIT: SDRs are focused on the next best lead segments rather than cold calling 30% Increase in Lead Volume
  • 29. 80% 20% Marketers Focus Primarily on New Customers, but Most Sales Come From Existing Customers 29
  • 30. 30 Selling more to Staples customers: Cross-sell
  • 31. Direct Mail Done Right ▶  PROBLEM: needed a more cost effective way to execute a higher cost DM program ▶  SOLUTION: dimensional mailer to highest scoring leads, followed with handwritten note ▶  BENEFIT: response rate more than double compared to previous similar campaigns 50% Reduction in Cost Per Opportunity
  • 32. Smarter Event Planning Peter Isaacson, CMO Plan events near clusters of high scoring accounts 30% Opportunity creation from events 40% Cost per lead from events Lattice Engines significantly increase our pipeline by helping us focus on high value accounts.
  • 33. Relationship 3+ Years 2+ Years 6+ Years Scope U.S. Global Global §  30% improvement in lead-to-win conversion §  25% improvement in lead-to-win conversion §  +$100K incremental per rep per year Key Results Game-Changing Results
  • 35. Where is Predictive Marketing and Selling? Cumulative Adoption Time A B C D E F Source: Lattice Engines
  • 36. 36Proprietary Algorithmic trading has replaced human trading.
  • 37. 37Proprietary Who is the Jeopardy player in the middle?
  • 39. Predictive Analytics for Marketing §  The era of big data and predictive analytics is NOW §  There is more information to discover about a prospect than ever before §  Leading marketing organizations are embracing predictive analytics to dramatically improve performance §  Marketing can lead – from lead scoring to predictive lead scoring §  Find your trigger … target selectively and quickly
  • 40. #LLCSeries Q    A  //  Panelists   Brian  Kardon   CMO LaDce  Engines       @bkardon   bkardon@laDce-­‐engines.com     MODERATOR:   Andrew  Gaffney   Publisher,  Demand  Gen  Report  
  • 41. #LLCSeries Thanks  for  aending  this  webinar!   www3.demandgenreport.com/lls15     NEXT  SESSION: