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Secret Sauce to Accelerated Revenue Jon Miller, VP of Marketing Bill Binch, VP of Sales M kt Marketo Page 1 © 2010 Marketo, Inc. Marketo Proprietary and Confidential

Marketo's secret sauce to accelerated revenue

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With the acquisition of over 700 customers in less than three years of selling, Jon Miller and Bill Binch will share their secret sauce for Marketo's accelerated success. They will walk through their demand generation strategy and closed loop process using Lead Management and Sales Insight as well as reporting tips and best practices using Revenue Cycle Analytics.

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Secret Sauce to Accelerated Revenue

Jon Miller, VP of MarketingBill Binch, VP of SalesM k tMarketo 

Page 1© 2010 Marketo, Inc. Marketo Proprietary and Confidential

Two Key Ideas

Page 2© 2009 Marketo, Inc.  Marketo Proprietary and Confidential

Marketo’s Revenue Cycle

s MQL

l Nam

es

Prospe

ct 

Recycled

Lead

aren

ess

ngaged Oppor‐

tunityCust‐omerSa

les 

Lead

SQL SAL

Al P R

Awa E

NurturingNurturing Database

Page 3© 2010 Marketo, Inc.  

Marketing SDR Sales

Revenue Cycle Modeler

Page 4© 2010 Marketo, Inc.   Marketo Proprietary and Confidential

Smart List Transitions

Page 5© 2010 Marketo, Inc.

Marketo Prospect Generation 1H2010NurtureSource Prospects Cost Opps Nurture Impact

3rd Party Email Blast 2,476 $35 22 MediumTrade Show Virtual 2 019 $33 28 MediumTrade Show –Virtual 2,019 $33 28 MediumSponsorship 1,296 $81 12 MediumTrade Show 929 $104 38 HighAlliance 743 $40 13 MediumPPC 686 $182  28 HighContent Syndication 89 $98 0 Mediumy $Website 2,586 178 LowPartner 358 21 HighAppExchange 308 18 LowAppExchange 308 18 LowReferral 302 49 LowSales Outbound 178 56 High

Page 6

Inbound Call 91 33 LowBlog 55 3 Medium© 2010 Marketo, Inc.  

Last Year’s Nurture Campaign

One Smart Campaign Send email, wait, repeat…

Positives: Automated drip; fire and fforget

Easy to add a/b email testing

Things to Consider:Things to Consider: It’s siloed Only considers criteria for ymembership once

Limited safeguards against over/miss‐communicating

Page 7

over/miss‐communicating

© 2010 Marketo, Inc.  Marketo Proprietary and Confidential

This Year’s Nurture CampaignTriggered Traffic Cop

Early Stage (Latent) Mid Stage (Active) Late Stage (Opps)

Master Master Master

Triggered Traffic Cop

Master

Email 1

Wait Step

Master

Email 1

Wait Step

Master

Email 1

Wait Step

Email 2 Email 2 Email 2

1. Traffic Cop prioritizes and assigns best nurturing campaign (title, buying stage)2. Master campaign for program decides which email to send

• If NOT received email 1, then send email 1 and remove from flow• Else if NOT received email 2 then send email 2 and remove from flowElse, if NOT received email 2, then send email 2 and remove from flow• Etc.

3. Email campaign sends email (A/B testing) then requests wait step4. Wait step campaign waits, then checks to see if lead should continue in program – if so calls 

Master to restart cycle

Page 8© 2010 Marketo, Inc.  Marketo Proprietary and Confidential

Master to restart cycle5. Accelerators: When change occurs that necessitates moving lead to new nurturing program 

(e.g. becomes a Lead), triggers in Traffic Cop request new program

Last Year’s Lead Scoring

Page 9© 2009 Marketo, Inc.  Marketo Proprietary and Confidential

Top Lead Scoring Rules

Page 10© 2009 Marketo, Inc.  Marketo Proprietary and Confidential

This Year’s Lead Scoring

Demographics Show Qualification• Third party data or manual 

prospect review

Active Score Shows Buying Intent• Visit pricing pages:

• +10 regular +15 detailedprospect review

Latent Score Shows Engagement• Attend webinar: +5

• +10 regular, +15 detailed• Timeline < 3 months: +15• Watch demos: 

• +5 overview, +10 detailedAttend webinar:  5• Download thought leadership: +3• Visit any webpage / blog : +1• Click any email: +1

• Download Marketo reviews: +12• Download buyers guides: +8• Download data sheets: +8

S h f “M k t ” +8• Visit careers pages: ‐10 • Searches for “Marketo”: +8• Heavy web activity: +5

Lead = 55  Lead = 25 

Page 11© 2009 Marketo, Inc.  Marketo Proprietary and Confidential

“overall score” “behavior score”

Lead Follow-Up Processes

High Score / Latent Buying

High Score / Active Buying

Enterprise Unrealized Need Immediate Sales Follow‐UpFollow Up

ImmediateTarget Unrealized Need Immediate Qualification

Other X Low‐Priority Qualification

Page 12© 2010 Marketo, Inc.  Marketo Proprietary and Confidential

Lead Follow-up Process

Page 13© 2010 Marketo, Inc.

No Lead Left BehindDay 0 NotificationNotification

Day 1 In untouched, reminderIn untouched, reminder

Day 2 If untouched, reminder cc bossIf untouched, reminder cc boss

Day 3 If untouched alert executivesIf untouched alert executivesDay 3 If untouched, alert executivesIf untouched, alert executives

Day 7 If stale, reminderIf stale, reminder

Day 8 If stale, reminder cc bossIf stale, reminder cc boss

Day 9 If stale, alert executivesIf stale, alert executives

Page 14© 2010 Marketo, Inc.    Marketo Proprietary and Confidential

Sales Insights

Page 15© 2010 Marketo, Inc.  

Competitive Parity

Page 16© 2010 Marketo, Inc. Marketo Proprietary and Confidential

“Test your competitiveness and execution”

How Marketo Uses Revenue Cycle Analytics

Page 17© 2010 Marketo, Inc. Marketo Proprietary and Confidential

Revenue Cycle Modeler

Page 18© 2010 Marketo, Inc.   Marketo Proprietary and Confidential

Understand The Metrics that Matter

Trends over time

Metrics that matter:• Balance

Fl• Flow• Conversion• Velocity

Page 19© 2010 Marketo, Inc.   Marketo Proprietary and Confidential

Drill into Ad Hoc Analytics

Page 20© 2009 Marketo, Inc. All rights reserved.

Create Custom Dashboards

Page 21© 2010 Marketo, Inc.

Marketo Revenue Cycle ModelNew Customers 65% of all deals

O i i

New Customers($5,800)

34.5%Lead Type Variants• Source

65% of all deals follow this model

8.4% of leads / 1 4 l dOpportunities

($2,000)

46% of prospects 

Source• Channel• Division• Size

1.4 leads per opty= 6% lead to opty

Leads($120)

3 0% / month %

f p peventually become a lead

28%Active Prospect 

3.0% / month 75%

Paid N Prospects

2/3 paid ($83)1/3 unpaid ($0)($55 average)

DatabaseNames($33)

15%UnpaidNames

40%Inactive 

72%

Page 22

( g ) 15%Names($0)

(Last 6 Months)

© 2010 Marketo, Inc.  

Board Dashboard

Prospect Lead Opportunity Win

Page 23© 2010 Marketo, Inc. Marketo Confidential and Proprietary

Conversion Over Time

Predict conversions from one stage to another over time

Create plans / forecasts about futurep /

70

Marginal Conversion2,000

Cumulative Conversion

y = 50.74x-0.57

R² = 0.430

30

40

50

60

y = 994.2x0.135

R² = 0.9551,000 1,200 1,400 1,600 1,800 ,

0

10

20

30

3 13 23 33 43 53 63 73-

200 400 600 800

3 13 23 33 43 53 63 733 13 23 33 43 53 63 73 3 13 23 33 43 53 63 73

Page 24© 2010 Marketo, Inc.   Marketo Proprietary and Confidential

Marketing ForecastsProspects Q2 2010 Q3 2010 Q4 2010Prospects Q2 2010 Q3 2010 Q4 2010Plan 6,635 7,814 9,150May 7,000 7,520Jun 8,380 8,500Jul 8,500

Leads Apr May Jun Jul Aug Sep Oct NovPlan 760 800 825 1000 1069 1374 1434 1512

Aug 8,800 10,000

Plan 760 800 825 1000 1069 1374 1434 1512Mar 810 850 875Apr 685 850 875 925May 818 875 900 915Jun 909 1000 1069 1374Jul 924 1200 1374 1434Aug 1280 1414 1450 1512

Opps Apr May Jun Jul Aug Sep Oct NovOpps Apr May Jun Jul Aug Sep Oct NovPlan 67 81 82 90 94 100 104 109Apr 83 83 90 93May 81 88 90 94Jun 91 93 95 101

Page 25

Jul 70 90 100 103Aug 92 101 104 109

Plan Forecast Actual

© 2010 Marketo, Inc. Marketo Confidential and Proprietary

Program Effectiveness Reporting

Page 26© 2010 Marketo, Inc.  

Program Effectiveness Forecasting

70Conversion Model

y = 50.74x-0.57

R² = 0.430

0

10

20

30

40

50

60

70

Page 27© 2010 Marketo, Inc.  

0

3 13 23 33 43 53 63 73

Key Takeaways

1. Your revenue cycle model is the foundation to success

2. Grow revenue by making sales more productive, not just by hiring more reps

3. Differentiate active buying behaviors from latent buying behaviors

l d l f b h d / l l4. No lead left behind / service level agreements

5. Use forecasting and analytics to build credibility for k timarketing

6. Continual evolution and closed‐loop optimization

Page 28

Th k Y !Thank You!

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