Nathan Decker
Ecommerce Manager
Evolucion Innovations
nathan@evo.com
www.evo.com
Seattle | Portland | evo.com
evo.com Stocks a Wide Variety of Brands
Andrew Pearson
Windsor Circle
VP of Marketing
@arjpearson
@windsorcircle
www.windsorcircle.com
Repeat buyers = 8% of site visitors,
but 41% of revenue
Source: Adobe Loyal Shopper’s Report April 2013
Source: Adobe Loyal Shopper’s Report April 2013
Enterprise Data Feeds:
Data updated continuously into
custom fields or relational tables
in your email software
and more
Guaranteed eCommerce-to-ESP Integrations:
and more
Our Agenda
Acquire Engage Retain
Old School Marketing: A 1st Time Buyer’s Path
Customer makes
1st purchase
Receives a
welcome email
Receives mass-
marketing emails
Never makes a 2nd
purchase, & unsubscribes
evo.com
Social PLADirectPaidOrganic Store
Email Sign-Up
Welcome #1 Welcome #2 Welcome #3
Email Sign Up Welcome Program
Joe – Win him back!
Welcome email
Brand recommendation
1
15
5 Post purchase thank you
Product Education Series67
Product Recommendation135
Best customer email
(sent after trigger)
215
40
2nd purchase
$560 – Ski Boots
80
3rd purchase
$50 - Socks
140
4th purchase
$240 - Jacket
0
1st purchase
$75 Goggles
Days
No purchases
Welcome email1
5 Post purchase thank you
Product recommendation10
Brand recommendation25
Win-back email 1
Win-back email 2
Win-back email 3
80
92
125
135
2nd purchase
$120 - Jacket
Days
0
1st purchase
$240 – Jacket, Gloves
Sally – Recommend & Reward!
How Data Can Drive Personalized Lifecycle Marketing
Survey110
Utilizing Purchase History to Retain
Customers & Lift Revenue
58%
25%
Open
Rates
Click
Rates
1. Guide to Trying on Your Boots
Email subject:
Ski Boot Guide – Part 1
Open rate: 67.8%
Click rate: 38%
Why this works:
Relevant Image
Clear CTA
2. How-to Video
Email subject:
Ski Boot Guide – Part 2
Open rate: 56%
Click rate: 25%
Clear header
Strong image
Simple text
including link to
information from
Email 1
Clear CTA
3. Ski Boot Guide – Part 3
Email Subject:
Ski Boot Guide – Part 3
Open rate: 49%
Click rate: 8%
Mentions purchased
product
Use of engaging image
Clear CTA
Why this works:
How we do it
Data Drives Results
3.2
9.6
Times the
Open Rates
Times the
Click Rates
30
Precision Timing
How evo Saw 3.2 Time the Opens & 9.6 Times the
Clicks with Automated How-to Guides
WindsorCircle.com/LiftYourRevenue
Initialization Optimization Retention Automation
Win by: • Volume • Content • Data
Key Metrics: • List Size
• Send Volume
• Opens
• Clicks
• Conversions
• Engaged Subscribers
• Churn
Key Activities: • Build list
• Send frequently
• Frequent Sends
• Content Creation
• Dashboard and Reporting
• Contact Strategy
• RFM Analysis
• Market Basket Analysis
ESP Selection: • Cost • Better Feature Sets • Cost
• Integration
• Segmentation
• Automation
Segmentation: • None • Available but Limited • Advanced
• Purchase history
• Web history
Automation: • None • None • Post Purchase Welcome Series
• Win Back Campaigns
• Cross Merchandizing
• Reviews
The 3 Stages of Email Marketing
Welcome #1 Welcome #2 Welcome #3
Purchase
Post Purchase
Post Purchase #2
Post Purchase #3
Marketing Calendar
From Welcome to Purchase 1 to Purchase 2
Non Purchasers
Category
Brand Affinity
Regional
Segmented Promotions:
Brand
Recommendation
Contest
Review Request
Social Comms
RFM Segments
RFM
R1M1F1: Best Customers
RxFxM1: Big Spenders
R1F4M1: New Spenders
Win Back #1
Win Back #2
Win Back #3
R4F1M1: Churning Customers
Purchase
RFMPurchase
Marketing Calendar
Automatic Segmenting by Customer Score
Understanding Customer Latency – evo.com
Average Latency
(All Customers)
2011: 153 Days
2012: 174 Days
2013: 194 Days
Median Latency
2011/12 Season
All customer: 25 days
Best customers: 33 days
2012/13 Season
All customer: 25 days
Best customers: 20
days
2013/14 Season
All customer: 30 days
Best customers: 46 days
9 Pillars of Customer Retention
ANALYZE
CONNECT THANK
REWARD
GET MORE
WIN BACKEVANGELIZE
LISTEN
ACQUIRE
Contests:
• Email acquisition
• Brand loyalty
• Co-marketing
Social Media:
• Highlight “evoCollective”
• Core Values
• Culture
evoCollective
spotlights include
gear affinity
APPENDIX
44
Retention,
Perfectly
Brewed
How CoffeeForLess makes $1MM+ a year
from Data-Driven Lifecycle Emails
45
Retention, Perfectly Brewed
Working Person’s Store
makes over $1MM a year
by personalizing product
recommendation emails
Heavy Duty
Personalization
46
Smooth Segmentation
SkinMedix sees over 50x ROI by
segmenting weekly emails and
automating customer retention
47
MILLION DOLLAR CIRCLE
Driving Real ROI from Retention Automation
50x ROI
Congratulations to these 3 retailers making over
$1MM a year from Retention Automation
66%
125%
increase in
opens
increase in
clicks
3x the opens
48
Download the Case Studies Today
www.windsorcircle.com/onemillion
49
How-To Guides
Windsorcircle.com/resources#how-to-guides

How evo used data-driven personalization to acquire more traffic and retain more customers

  • 4.
    Nathan Decker Ecommerce Manager EvolucionInnovations nathan@evo.com www.evo.com
  • 5.
  • 6.
    evo.com Stocks aWide Variety of Brands
  • 7.
    Andrew Pearson Windsor Circle VPof Marketing @arjpearson @windsorcircle www.windsorcircle.com
  • 8.
    Repeat buyers =8% of site visitors, but 41% of revenue Source: Adobe Loyal Shopper’s Report April 2013 Source: Adobe Loyal Shopper’s Report April 2013
  • 10.
    Enterprise Data Feeds: Dataupdated continuously into custom fields or relational tables in your email software and more Guaranteed eCommerce-to-ESP Integrations: and more
  • 11.
  • 19.
    Old School Marketing:A 1st Time Buyer’s Path Customer makes 1st purchase Receives a welcome email Receives mass- marketing emails Never makes a 2nd purchase, & unsubscribes evo.com Social PLADirectPaidOrganic Store Email Sign-Up Welcome #1 Welcome #2 Welcome #3 Email Sign Up Welcome Program
  • 20.
    Joe – Winhim back! Welcome email Brand recommendation 1 15 5 Post purchase thank you Product Education Series67 Product Recommendation135 Best customer email (sent after trigger) 215 40 2nd purchase $560 – Ski Boots 80 3rd purchase $50 - Socks 140 4th purchase $240 - Jacket 0 1st purchase $75 Goggles Days No purchases Welcome email1 5 Post purchase thank you Product recommendation10 Brand recommendation25 Win-back email 1 Win-back email 2 Win-back email 3 80 92 125 135 2nd purchase $120 - Jacket Days 0 1st purchase $240 – Jacket, Gloves Sally – Recommend & Reward! How Data Can Drive Personalized Lifecycle Marketing Survey110
  • 21.
    Utilizing Purchase Historyto Retain Customers & Lift Revenue 58% 25% Open Rates Click Rates
  • 22.
    1. Guide toTrying on Your Boots Email subject: Ski Boot Guide – Part 1 Open rate: 67.8% Click rate: 38% Why this works: Relevant Image Clear CTA
  • 23.
    2. How-to Video Emailsubject: Ski Boot Guide – Part 2 Open rate: 56% Click rate: 25% Clear header Strong image Simple text including link to information from Email 1 Clear CTA
  • 24.
    3. Ski BootGuide – Part 3 Email Subject: Ski Boot Guide – Part 3 Open rate: 49% Click rate: 8% Mentions purchased product Use of engaging image Clear CTA Why this works:
  • 25.
  • 29.
    Data Drives Results 3.2 9.6 Timesthe Open Rates Times the Click Rates
  • 30.
    30 Precision Timing How evoSaw 3.2 Time the Opens & 9.6 Times the Clicks with Automated How-to Guides WindsorCircle.com/LiftYourRevenue
  • 31.
    Initialization Optimization RetentionAutomation Win by: • Volume • Content • Data Key Metrics: • List Size • Send Volume • Opens • Clicks • Conversions • Engaged Subscribers • Churn Key Activities: • Build list • Send frequently • Frequent Sends • Content Creation • Dashboard and Reporting • Contact Strategy • RFM Analysis • Market Basket Analysis ESP Selection: • Cost • Better Feature Sets • Cost • Integration • Segmentation • Automation Segmentation: • None • Available but Limited • Advanced • Purchase history • Web history Automation: • None • None • Post Purchase Welcome Series • Win Back Campaigns • Cross Merchandizing • Reviews The 3 Stages of Email Marketing
  • 32.
    Welcome #1 Welcome#2 Welcome #3 Purchase Post Purchase Post Purchase #2 Post Purchase #3 Marketing Calendar From Welcome to Purchase 1 to Purchase 2 Non Purchasers Category Brand Affinity Regional Segmented Promotions: Brand Recommendation Contest Review Request Social Comms
  • 33.
    RFM Segments RFM R1M1F1: BestCustomers RxFxM1: Big Spenders R1F4M1: New Spenders Win Back #1 Win Back #2 Win Back #3 R4F1M1: Churning Customers Purchase RFMPurchase Marketing Calendar Automatic Segmenting by Customer Score
  • 34.
    Understanding Customer Latency– evo.com Average Latency (All Customers) 2011: 153 Days 2012: 174 Days 2013: 194 Days Median Latency 2011/12 Season All customer: 25 days Best customers: 33 days 2012/13 Season All customer: 25 days Best customers: 20 days 2013/14 Season All customer: 30 days Best customers: 46 days
  • 35.
    9 Pillars ofCustomer Retention ANALYZE CONNECT THANK REWARD GET MORE WIN BACKEVANGELIZE LISTEN ACQUIRE
  • 36.
    Contests: • Email acquisition •Brand loyalty • Co-marketing
  • 39.
    Social Media: • Highlight“evoCollective” • Core Values • Culture
  • 40.
  • 43.
  • 44.
    44 Retention, Perfectly Brewed How CoffeeForLess makes$1MM+ a year from Data-Driven Lifecycle Emails
  • 45.
    45 Retention, Perfectly Brewed WorkingPerson’s Store makes over $1MM a year by personalizing product recommendation emails Heavy Duty Personalization
  • 46.
    46 Smooth Segmentation SkinMedix seesover 50x ROI by segmenting weekly emails and automating customer retention
  • 47.
    47 MILLION DOLLAR CIRCLE DrivingReal ROI from Retention Automation 50x ROI Congratulations to these 3 retailers making over $1MM a year from Retention Automation 66% 125% increase in opens increase in clicks 3x the opens
  • 48.
    48 Download the CaseStudies Today www.windsorcircle.com/onemillion
  • 49.

Editor's Notes

  • #9 Source: Adobe Loyal Shopper’s Report April 2013
  • #13  Events Almost every event benefits a charity.   Monthly art galleries at our stores, usually featuring the artists of brand partners and sometimes including a repaint of the side of our building(s). Exhibit A, January: http://culture.evo.com/2014/12/in-progress-spacecraft-january-seattle-gallery/ http://culture.evo.com/2014/12/oil-and-water-armada-january-portland-gallery/   Exhibit B (this one coincided with a repaint of our South Wall in Seattle): http://culture.evo.com/2014/07/arts-and-crafts-mike-kershnar-element/ http://culture.evo.com/2014/09/south-wall-interview/   We also regularly host education / Shopping / Social events targeting a variety of demographics; these aim to establish evo as a community “hub” of action sports in our region(s), to draw new customers/exposure and remain relevant to evo devotees. Often these focus on safety and awareness as well. Here are a few examples: http://culture.evo.com/2014/11/wine-wax-ladies-night-she-jumps/ http://culture.evo.com/2014/02/singles-night-evo/ http://culture.evo.com/2014/03/know-the-snow-video-contest/     Athletes and Team The evo collective is a team of athletes and other influencers that we partner with (ie sponsor) to promote not only evo and the sports we represent but our core values. We get amazing content from our collective and reach a very “core” audience. It’s a great way to invest in building the sports we represent and increasing our relevance: http://culture.evo.com/2015/01/core-values-respect-kimmy-fasani/ http://culture.evo.com/2015/01/core-values-balanced-ambition-eric-pollard/ http://culture.evo.com/2011/04/nimbus-independent-webisode-en-route-approach/   Giveaways http://culture.evo.com/2013/10/win-icelantic-skis-and-a-trip-to-denver/ http://culture.evo.com/2012/02/winter-x-games-the-north-face-takes-evo-our-contest-winners-to-aspen/ http://culture.evo.com/2012/11/win-evos-super-ultimate-armada-skis-trip-to-mammoth-mountain/   evoTrip These are amazing, cultivated experiences where we host small groups to ski in exotic destinations. Though a limited few can go, it is an aspirational cornerstone weaved throughout our marketing mix. Some of the social media content we get from travelers who go is amazing. http://culture.evo.com/2014/04/33-reasons-go-evotrip-chile/ http://culture.evo.com/2013/05/2014-evotrip-japan-book-now-save-500/
  • #20 The customer lifecycle for evo is similar to that of many online retailers. Before we set out to build a good email retention program, we sat down to map out our customer lifecycle. Here is what we found: First, we use six primary channels to get customers to evo.com. We have a physical store in Seattle, and that does create a lot of cross-channel customers for us, so I included that too. Once we get the person on our website, we use a prominent email sign-up form on all pages of the site to entice them to sign up for our email program. When people sign up for email, they are enrolled in a welcome series for new subscribers. We’ve tested the welcome emails with and without coupons, and I will talk about the results of that more later on.
  • #33 Clean -