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#monetatesummit
JayNigrelli,VPofeCommerce, DestinationXLGroup
TheFutureof Testing
Takingyourwebsitetestingtoabrandnewlevel
• Leading men’s apparel retailer focused on guys with waist sizes 38+
• 6 websites including Destinationxl.com, Casualmalexl.com, and
Rochesterclothing.com
• Over 350 stores in 48 US states
Who We Are
Who We Are
• One of Monetate’s first customers (Summer 2009)

• Close partnership leveraging Monetate’s capabilities for 

ongoing testing, personalization, and optimization 

• Over 1,782 tests/campaigns run life-to-date
The Challenge (#1)
• Challenge: Destination XL visitor
demographics are fragmented—only tied
together by size

• Goal: Maximize online revenue of visitors
with a propensity to purchase luxury
apparel over the holiday 2013
The Solution
• Create segments of customers based on brand affinity
–Past online purchasing behavior of high-end brands:
!
• Robert Graham
• Paul and Shark
• Jack Victor
• True Religion
• Remy
• Peter Millar
• Etc.
The Solution Cont.
• Launched holiday campaign with homepage slides featuring luxury 

gifts, high-end brands & products, and designer clearance
• Customized landing pages from each slide
• Targeted exclusively to visitors from the Monetate created segment
The End Result
• A/B Test Results (vs Control): Winner!
• Conversion Rate +15%
• Average Order Value +8%
• Demand $ per Session +25%
Conclusion
• Segmentation and relevant messaging works
• Brand affinity is a strong indicator of lifestyle preference
• Start with a hypothesis
• Leverage the vast amount of data & attributes Monetate has access to
• Must consider scalability
!
• Next Steps: Test brand specific campaigns
• Long term: Leverage CRM data to create segments based on
multi-channel data
The Challenge (#2)
• Challenge: Create more merchandising continuity
between website and stores

• Goal: Feature local sports teams to customers online
based on where they are shopping from
The Challenge (#2)
The Solution
• Leverage Monetate’s IP targeting to test team sports features 

in Boston, LA, and Chicago markets (launched Feb 2014)
The Solution Cont.
• Click takes visitors to local team page
The End Result
A/B Test Results (vs Control):
No significance = win
Conclusion
• Use Monetate’s capabilities to build omni-channel continuity while 

testing online engagement
• Test to ensure no adverse effect to online KPIs
• Results could vary based on inventory availability & popularity of team
• Track teams/groups individually
!
• Next Steps: Test local MLB teams in various markets heading into 

season (April)
• Next Steps: Brainstorm other ways to tie channels together
2:15-2:30 Break
!
2:30-3:45 Track 2 / Engage 

Open-Time Personalization

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The Future of Testing (Jay Nigrelli)

  • 2. • Leading men’s apparel retailer focused on guys with waist sizes 38+ • 6 websites including Destinationxl.com, Casualmalexl.com, and Rochesterclothing.com • Over 350 stores in 48 US states Who We Are
  • 3. Who We Are • One of Monetate’s first customers (Summer 2009)
 • Close partnership leveraging Monetate’s capabilities for 
 ongoing testing, personalization, and optimization 
 • Over 1,782 tests/campaigns run life-to-date
  • 4. The Challenge (#1) • Challenge: Destination XL visitor demographics are fragmented—only tied together by size
 • Goal: Maximize online revenue of visitors with a propensity to purchase luxury apparel over the holiday 2013
  • 5. The Solution • Create segments of customers based on brand affinity –Past online purchasing behavior of high-end brands: ! • Robert Graham • Paul and Shark • Jack Victor • True Religion • Remy • Peter Millar • Etc.
  • 6. The Solution Cont. • Launched holiday campaign with homepage slides featuring luxury 
 gifts, high-end brands & products, and designer clearance • Customized landing pages from each slide • Targeted exclusively to visitors from the Monetate created segment
  • 7. The End Result • A/B Test Results (vs Control): Winner! • Conversion Rate +15% • Average Order Value +8% • Demand $ per Session +25%
  • 8. Conclusion • Segmentation and relevant messaging works • Brand affinity is a strong indicator of lifestyle preference • Start with a hypothesis • Leverage the vast amount of data & attributes Monetate has access to • Must consider scalability ! • Next Steps: Test brand specific campaigns • Long term: Leverage CRM data to create segments based on multi-channel data
  • 9. The Challenge (#2) • Challenge: Create more merchandising continuity between website and stores
 • Goal: Feature local sports teams to customers online based on where they are shopping from
  • 11. The Solution • Leverage Monetate’s IP targeting to test team sports features 
 in Boston, LA, and Chicago markets (launched Feb 2014)
  • 12. The Solution Cont. • Click takes visitors to local team page
  • 13. The End Result A/B Test Results (vs Control): No significance = win
  • 14. Conclusion • Use Monetate’s capabilities to build omni-channel continuity while 
 testing online engagement • Test to ensure no adverse effect to online KPIs • Results could vary based on inventory availability & popularity of team • Track teams/groups individually ! • Next Steps: Test local MLB teams in various markets heading into 
 season (April) • Next Steps: Brainstorm other ways to tie channels together
  • 15. 2:15-2:30 Break ! 2:30-3:45 Track 2 / Engage 
 Open-Time Personalization