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MatthewButlein,President, Freshpair.com
Customer
LifecycleMessaging
Respondtocustomerdata,behavior,
context andcircumstancesinrealtime
Intro to Underwear
1. There’s a lot of different
kinds of underwear out there
2. People have very different
attitudes towards underwear
3. It’s a very personal and
confusing category for the
customer
Who We Are
‣ W: bras, panties, shapewear, hosiery,
sleepwear & socks
‣ M: underwear, t-shirts, swim, shapewear,
sleepwear & socks
!
!
• Founded in 2000, NYC-based
• 130+ brands of men’s and women’s
underwear (from Kohl’s to Saks)
• Monetate customer for over 5 years
• We’ll help you find the underwear that
will make you look & feel your best
The Problem
Without knowing anything about a prospect, it’s very
difficult to help her/him find the best underwear.
????????????????????????
The Problem
Hypothesis:
Prospects are telling us what they’re interested in.
If we use that data to send them more relevant content,
they’ll buy more from us in the short- and long-term.
!
Measurement:
1.$/prospect during Welcome Series
2.3-, 6- and 12-month prospect cohort revenue
The Solution
• Architecture: Smarter Remarketer + Responsys + Monetate
‣ Implicit data from site browse activity
‣ Explicit preferences from email interaction
‣ Imported browse data from Smarter Remarketer into Responsys
‣ Created the lifecycle campaign in Responsys Program
‣ Used Monetate to create on-site continuity with each email
• Make it measurable and flexible so we can iterate over time
- Browse activity drives dynamic content
- Email interaction drives frequency/resends
- Content interaction drives content in future emails
• Leverage relevant shopper data to drive communication and content
The Solution Cont.
EXPLICIT&OR&
IMPLICIT&
PREFERENCES
The End Result
• ~30 days in to the test, it’s too early to look at
3-, 6- and 12-month cohorts
!
• However, during our Welcome Series the $/
prospect increased by +13%
Next Steps
• Shift more from ad hoc to triggers
• Push data from Welcome interaction to
triggers down the line
• Deeper Monetate integration to pass them
customer segments so they can tailor more
of the site experience

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Customer Lifecycle Messaging (Matthew Butlein)

  • 2. Intro to Underwear 1. There’s a lot of different kinds of underwear out there 2. People have very different attitudes towards underwear 3. It’s a very personal and confusing category for the customer
  • 3. Who We Are ‣ W: bras, panties, shapewear, hosiery, sleepwear & socks ‣ M: underwear, t-shirts, swim, shapewear, sleepwear & socks ! ! • Founded in 2000, NYC-based • 130+ brands of men’s and women’s underwear (from Kohl’s to Saks) • Monetate customer for over 5 years • We’ll help you find the underwear that will make you look & feel your best
  • 4. The Problem Without knowing anything about a prospect, it’s very difficult to help her/him find the best underwear. ????????????????????????
  • 5. The Problem Hypothesis: Prospects are telling us what they’re interested in. If we use that data to send them more relevant content, they’ll buy more from us in the short- and long-term. ! Measurement: 1.$/prospect during Welcome Series 2.3-, 6- and 12-month prospect cohort revenue
  • 6. The Solution • Architecture: Smarter Remarketer + Responsys + Monetate ‣ Implicit data from site browse activity ‣ Explicit preferences from email interaction ‣ Imported browse data from Smarter Remarketer into Responsys ‣ Created the lifecycle campaign in Responsys Program ‣ Used Monetate to create on-site continuity with each email • Make it measurable and flexible so we can iterate over time - Browse activity drives dynamic content - Email interaction drives frequency/resends - Content interaction drives content in future emails • Leverage relevant shopper data to drive communication and content
  • 8. The End Result • ~30 days in to the test, it’s too early to look at 3-, 6- and 12-month cohorts ! • However, during our Welcome Series the $/ prospect increased by +13%
  • 9. Next Steps • Shift more from ad hoc to triggers • Push data from Welcome interaction to triggers down the line • Deeper Monetate integration to pass them customer segments so they can tailor more of the site experience