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Optimizing Indicators to Nail Your Goals
Utkarsh Rai
Growth Marketer, VWO
Jordan Con
Manager, Product Marketer, Bizible
#AskVWO
Marketing Data: Siloed in Channels
EVERY CHANNEL HAS DIFFERENT SUCCESS METRICS
EVENTS
Optimize
EMAIL
Optimize
PAID MEDIA
Optimize
WEB
Optimize
SALES DEV
Optimize
Badge scans/
registrations
Open rate,
click rate
CPM, CPC,
CPL
Pageviews,
bounce rate
Calls, emails
sent
MEASURE PLAN
...Which Causes Problems
1.
Siloed Data
2.
Inaccurate ROI
Reporting
3.
Bad Marketing
Decisions
Marketing Data: Siloed in Channels
EVENTS
Optimize
EMAIL
Optimize
PAID MEDIA
Optimize
WEB
Optimize
SALES DEV
Optimize
MEASURE PLAN
REVENUE
ALIGN CHANNELS TO REVENUE
Plan, Engage, and Measure for Revenue
MEASURE PLAN
REVENUE
ENGAGE
Optimize
Version A Version B
*Confidential – Do Not Distribute
Version A: Growth Version B: Revenue Growth
Clicks 2000 1700
CTA Clicks 110 120
Standard A/B Test Metrics
*Confidential – Do Not Distribute
Standard A/B Test Metrics
My test
generated 10%
more CTA clicks!
OK
*Confidential – Do Not Distribute
Version A: Growth Version B: Revenue Growth
Net New Contacts 75 90
Net New ABC Contacts 45 45
SMB/MID Contacts 20 30
COM/ENT Contacts 25 15
Demand Gen
*Confidential – Do Not Distribute
Demand Gen
My test
generated 66%
more ENT
contacts!
Nice!
*Confidential – Do Not Distribute
Version A: Growth Version B: Revenue Growth
Net New Opportunities 57 43
Revenue $825,000 $475,000
Full Funnel
*Confidential – Do Not Distribute
Full Funnel
My test
generated 75%
more revenue
Awesome! Here’s
more budget to
do it again!
*Confidential – Do Not Distribute
Applying this across channels
Why are we testing?
What’s the ultimate goal?
Plan, Engage, and Measure
*Confidential – Do Not Distribute
MEASURE PLAN
ENGAGE
Optimize
● What are your indicators of success?
○ In other words, what action do we want people to take?
● Who do we want to take the action?
● What’s the ultimate goal?
Step 1: Plan
1. Create your hypothesis, your version B
a. I.e., If I use different headline copy on the homepage, will it
increase revenue from the homepage?
2. Design test — how will you achieve the goals you set out for Step 1?
3. Launch test!
Step 2: Engage
Good:
Lift
Do your indicators correlate
with aggregated revenue
lift? (i.e., Are you beating
your benchmarks?)
Step 3: Measure
Better:
Influence
At the opportunity level, are
opps that are exposed to
version A more or less likely
to become revenue than
version B?
Best:
Revenue Attribution
Bizible + VWO—connect
your experiment to revenue
attribution and directly draw
the line to revenue
Step 3: Measure
Digital Marketing Field & Offline Marketing
Data Collection
(Bizible Person)
JavaScript Ad API
Connections
Marketing
Automation
Chat View-
Through
Call
Tracking
CRM Campaigns Activity Tracking
• Auto capture cost
& ROI data
• No UTMs necessary
• Track all email
campaigns &
programs
• Track campaigns &
responses
• Direct mail, events,
syndication
• Can pivot on
multiple outcomes
Track pre-
anonymous
activity
• Auto track outbound
calls & emails
• Custom config.
• Track all anonymous
& known sessions
• Track organic (SEO),
direct, web referral
• Landing page &
form URL data
• Auto capture UTMs
and referral data
Bizible Person Record Creates
1st
Party Marketing Data
Touchpoint Credit
Sales Dev
• Track
inbound
calls
A/B
Testing
Step 3: Measure
26% 22% 20% 10% 7% 5%
Demo
Opportunity
CreationMQL
Lead
Creation
Deal/
Revenue
Anonymous First
Touch
SEO
Version B
Step 3: Measure
26% 22% 20% 10% 7% 5%
Demo
Opportunity
CreationMQL
Lead
Creation
Deal/
Revenue
Anonymous First
Touch
SEO
Version B
● This person clicked on a CTA when served
Version B
● Registered as a click
● Registered as a CTA click
● Will become an opportunity
● Becomes part of a deal with closed won
revenue
Step 3: Measure
20%
MQL
Version B
1. Version B of the experiment
generated 20% of that deal’s revenue
2. Aggregate all of Version A and Version
B revenue
3. Determine the winner based on
revenue
Think about all the tests and optimizations you made this year...
● What were you trying to achieve?
● Was your success metric tied to business impact?
● Could you prove the revenue impact?
Takeaways
Thank You!
Q&A

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VWO Webinar: Here’s How You Turn Your Channel Metrics Into Revenue

  • 1. Optimizing Indicators to Nail Your Goals Utkarsh Rai Growth Marketer, VWO Jordan Con Manager, Product Marketer, Bizible
  • 3. Marketing Data: Siloed in Channels EVERY CHANNEL HAS DIFFERENT SUCCESS METRICS EVENTS Optimize EMAIL Optimize PAID MEDIA Optimize WEB Optimize SALES DEV Optimize Badge scans/ registrations Open rate, click rate CPM, CPC, CPL Pageviews, bounce rate Calls, emails sent MEASURE PLAN
  • 4. ...Which Causes Problems 1. Siloed Data 2. Inaccurate ROI Reporting 3. Bad Marketing Decisions
  • 5. Marketing Data: Siloed in Channels EVENTS Optimize EMAIL Optimize PAID MEDIA Optimize WEB Optimize SALES DEV Optimize MEASURE PLAN REVENUE ALIGN CHANNELS TO REVENUE
  • 6. Plan, Engage, and Measure for Revenue MEASURE PLAN REVENUE ENGAGE Optimize
  • 8. *Confidential – Do Not Distribute Version A: Growth Version B: Revenue Growth Clicks 2000 1700 CTA Clicks 110 120 Standard A/B Test Metrics
  • 9. *Confidential – Do Not Distribute Standard A/B Test Metrics My test generated 10% more CTA clicks! OK
  • 10. *Confidential – Do Not Distribute Version A: Growth Version B: Revenue Growth Net New Contacts 75 90 Net New ABC Contacts 45 45 SMB/MID Contacts 20 30 COM/ENT Contacts 25 15 Demand Gen
  • 11. *Confidential – Do Not Distribute Demand Gen My test generated 66% more ENT contacts! Nice!
  • 12. *Confidential – Do Not Distribute Version A: Growth Version B: Revenue Growth Net New Opportunities 57 43 Revenue $825,000 $475,000 Full Funnel
  • 13. *Confidential – Do Not Distribute Full Funnel My test generated 75% more revenue Awesome! Here’s more budget to do it again!
  • 14. *Confidential – Do Not Distribute Applying this across channels
  • 15. Why are we testing? What’s the ultimate goal?
  • 16. Plan, Engage, and Measure *Confidential – Do Not Distribute MEASURE PLAN ENGAGE Optimize
  • 17. ● What are your indicators of success? ○ In other words, what action do we want people to take? ● Who do we want to take the action? ● What’s the ultimate goal? Step 1: Plan
  • 18. 1. Create your hypothesis, your version B a. I.e., If I use different headline copy on the homepage, will it increase revenue from the homepage? 2. Design test — how will you achieve the goals you set out for Step 1? 3. Launch test! Step 2: Engage
  • 19. Good: Lift Do your indicators correlate with aggregated revenue lift? (i.e., Are you beating your benchmarks?) Step 3: Measure Better: Influence At the opportunity level, are opps that are exposed to version A more or less likely to become revenue than version B? Best: Revenue Attribution Bizible + VWO—connect your experiment to revenue attribution and directly draw the line to revenue
  • 20. Step 3: Measure Digital Marketing Field & Offline Marketing Data Collection (Bizible Person) JavaScript Ad API Connections Marketing Automation Chat View- Through Call Tracking CRM Campaigns Activity Tracking • Auto capture cost & ROI data • No UTMs necessary • Track all email campaigns & programs • Track campaigns & responses • Direct mail, events, syndication • Can pivot on multiple outcomes Track pre- anonymous activity • Auto track outbound calls & emails • Custom config. • Track all anonymous & known sessions • Track organic (SEO), direct, web referral • Landing page & form URL data • Auto capture UTMs and referral data Bizible Person Record Creates 1st Party Marketing Data Touchpoint Credit Sales Dev • Track inbound calls A/B Testing
  • 21. Step 3: Measure 26% 22% 20% 10% 7% 5% Demo Opportunity CreationMQL Lead Creation Deal/ Revenue Anonymous First Touch SEO Version B
  • 22. Step 3: Measure 26% 22% 20% 10% 7% 5% Demo Opportunity CreationMQL Lead Creation Deal/ Revenue Anonymous First Touch SEO Version B ● This person clicked on a CTA when served Version B ● Registered as a click ● Registered as a CTA click ● Will become an opportunity ● Becomes part of a deal with closed won revenue
  • 23. Step 3: Measure 20% MQL Version B 1. Version B of the experiment generated 20% of that deal’s revenue 2. Aggregate all of Version A and Version B revenue 3. Determine the winner based on revenue
  • 24. Think about all the tests and optimizations you made this year... ● What were you trying to achieve? ● Was your success metric tied to business impact? ● Could you prove the revenue impact? Takeaways