Enable Lead Scoring


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Enable Lead Scoring

  1. 1. Enable Lead Scoringwith Marketing AutomationMary L. WallaceDirector, Client Marketing ServicesUBM
  2. 2. Lead Scoring is HOT!• On average, organizations that currently use lead scoring experience a 77% lift in lead generation ROI, over organizations that do not currently use lead scoring. – MarketingSherpa• Companies that get lead scoring right have a 192% higher average qualification rate than those that do not – Aberdeen Group
  3. 3. Agenda• Setting the Stage For Lead Scoring• Business Value of Lead Scoring• How to Build a Lead Scoring Program that Works for You• Keys to a Successful Lead Scoring Program
  4. 4. About Me• Director, Marketing Automation at UBM Tech• Responsible for the design, development, and implementation of innovative client and marketing campaigns.• Optimize marketing program performance through the use of strategic marketing models and processes that leverage marketing and sales automation solutions.
  5. 5. Today You Will Learn• Business Value of Lead• Dimensions of a Lead Scoring Model• How to build a Lead Scoring Program that works for you
  6. 6. What is Lead Scoring?• Technique for quantifying/ranking leads based on profile, behavior, demographics• Score is used to prioritize potential value of leads / likelihood to purchase• Lead score – 360 view – Program/Campaign centric view – Product centric
  7. 7. What Does Lead Scoring Look For? Activity Strong FitPersona Best Fit Persona Poor Fit Activity Poor Fit
  8. 8. Lead Scoring ProcessEmailCampaignsTelemarketing Profile DataWebsiteInteractionEventsForm Data 50 pts 75 pts MQL SRL Nurture Inside Sales Campaign
  9. 9. What Happens without Lead Scoring• Marketing and Sales Cannot Agree on Qualified Leads• Sales Cannot Find the Qualified Leads• Quantifiable Feedback Loop From Sales to Marketing is Missing
  10. 10. Business Value of Lead Scoring• Improve Results of Marketing Efforts – sales conversion rates – sales effectiveness – pipeline health• Reduce cost/effort of inside sales• Increase close rates• Optimize ROI on your lead management efforts
  11. 11. What Should Be Scored?• Explicit – Lead Source – Demographics (job role, buyer persona, company size, location, department) – BANT questions/Progressive Profiling• Implicit (Digital Body Language) – Email open/Email Click – Web site • specific page (+/1) • Return – Content Interaction – Activity Velocity
  12. 12. Who Should Design the Scoring Model?• Lead Scoring Quantifies Agreement between Sales and Marketing – What “intel” optimizes sales? – When is a lead ready? – What leads are “tire kickers”• Don’t set it and forget it – Learn from Experience – Optimize your program – Build new programs that compliment or are diverse from existing program(s)
  13. 13. Step 1:Get Your Team Together and Define The Goals
  14. 14. Step 2: Select Scoring Dimensions• Use historical trends, existing analytics to define what criteria should be used• Both implicit (digital body language) and explicit (profile data) should be included• Hardest Part of Building a Program  Good Enough is Good Enough  Return to Optimize
  15. 15. Step 3: Assign Point ValuesDimension Low X Medium X High X • Determine TheACTIVITY Impact Should Each Lead Source 5 10 15 “Dimension” have Web Site on score (Larger Web Page Visit 1 2 5 Numbers have Web Page Visit -1 -2 -10 greater impact) Email Activity Unique Open 1 2 4 Unique Click 1 2 4 Content Consumption • Use CategoriesDEMOGRAPHICS Awareness Asset 0 (High, Medium, Job Role Recognition Asset 0 2 5 4 Low) Company Size Asset Consideration 0 4 10 8 Location Preference Asset 0 1 15 2 Industry Justification Asset 0 1 2 • Define Conversion 20 Velocity Caps -10 10Convert?SRL/Hot 130 noMQL/Warm 70 noCold N/A N/A
  16. 16. Step 4:Model It!If a lead…• who is has a high job role, in a high industry• that visits my website twice,• picks up 1 awareness content• and 2 consideration content• and opens and clicks in 3 emails (2 high, 1 medium)• attended a webinar• Is that a MQL, a SRL, or a lead at the top of the funnel? Note: Historical Trends, Existing Data Analytics will help validate model
  17. 17. Dimension Low X Medium X High XACTIVITY Lead Source 5 10 15 Web Site Web Page Visit 1 2 52 Web Page Visit -1 -2 -10 Email Activity Unique Open 1 21 42 Unique Click 1 21 42 Content Consumption Awareness Asset 51 Recognition Asset 10 Consideration Asset 15 2 Preference Asset 20 Justification Asset 81 25 Webinar Register 10 Webinar Attend 75 25 1 Velocity -10 0 10 xCALL TOe ACTION 0 S cor Response it y 0 6 20 70 ct iv ct io nBANT A to A BudgetCall 0 8 16 T ics no BA N Authority ograph 0 5 10 e m 130 yes Need D 0 70 N/A 8 16 Timing 0 5 10 vert? N/A ConDEMOGRAPHICS t Ho Job Role SRL/ arm 0 2 4x L/W CompanyM Q Size 0 4 8 Location Cold 0 1 2 Industry 0 1 2x
  18. 18. Step 5:Build it Now!Key Points:• How/When Enter Lead Scoring Programming• Build Incrementally to Test Each Module• Test all Permutations• Each MAS solutions is different – Example is from Eloqua 10
  19. 19. Update Score Based on Criteria Route Leads based on Conditions Update Score DateRemove Lead from Program
  20. 20. Keys to Success 1. Joint Commitment Between Sales and Marketing – Conversion Points – Hand Off Process 2. Clean Data – Inaccurate Data Produces Off-Target Results – “Re”-Score After Data is Updated 3. Measure Performance – Continuous to Refinement/Optimization
  21. 21. Key Takeaways1. Lead Scoring is not the silver bullet. It is a structured method for defining and qualifying leads.2. Lead scoring done right will3. Lead scoring criteria should include both implicit and explicit data points4. Model and Validate the Lead Scoring Program before Building it out in Your MAS5. Lead Scoring Should be Continually Reviewed and Optimized