The Modern Marketer
Understanding data science and the multi-channel, multi-device shopper
Ben Glynn Managing Director, Emarsys SEA
@Emarsys
The Modern Marketer Understanding data science and the - - PowerPoint PPT Presentation
The Modern Marketer Understanding data science and the multi-channel, multi-device shopper Ben Glynn Managing Director, Emarsys SEA @Emarsys The challenges all modern retailers face Identifying more contacts, collecting more data
Ben Glynn Managing Director, Emarsys SEA
@Emarsys
The challenges all modern retailers face
@Emarsys
DATA AND CHANNEL SILOS
Activity Focused Marketing
Email SMS Push Web
Display
Store
Social
DATA AND CHANNEL CONSOLIDATION
OUTCOME FOCUSED STRATEGY
Case Example: Singapore Customer Data
Benchmark How to Achieve
Average Open Rate 16.7% Average Click Rate 4.7% Ave order size SGD 120 Profit Margin 20% ( SGD24) Cost of Acquisition SGD 40 Profit on first time purchase SGD -16.00 Website Conversion Rate 1.66% Email Conversion Rate 3.43% Number of repeat vs first time purchasers Unknown Churn Rate Unknown LTV Unknown
The leaky bucket
71. 04 % 28. 96 %
FREQUENCY
First Time Recurring
22% 78%
First Time Recurring
spend over 5X more than first time buyers
buyers to recurring customers to significantly improve revenue
11 % 46 % 43 %
RECENCY
Active Defecting Inactive
18. 3% 50. 52 %
31.1 7%
Active Defecting Inactive
are either lost or starting to lose
contributed from lost/almost lost customers
acquire more than they lose, or drastically change their strategy to a retention focus
50,000 100,000 150,000 200,000 250,000 300,000 Low Normal Silver Gold Platinum Contacts Revenue
by their spending status is essential, particularly for those few high spenders.
varied - a small group (14.93%) of customers contribute over 68%
11
Emarsys Recommendations
Understanding the customer lifecycle
INCREASE CUSTOMER LIFETIME VALUE
REVENUE TIME
Engage & Grow
ACTIVE CUSTOMERS
Convert more leads LEADS FIRST-TIME BUYERS ACTIVE BUYERS DEFECTING CUSTOMERS
1 2 3
Increase retention and win back inactive customers
@Emarsys
Example – ‘Outcome’ focused Abandoned Shopping Cart Increasing 1st to 2nd Purchase rate
Select Our First time Buyers Segment
Not responding... Not responding… Finally made a purchase! Jane
Engaging the first time buyer, Jane
Forget something? Check
1 get 1 free! slide to view message
Check out your items with the discount before it expires! Check out your items with the discount before it expires!
$15
DISCOUNT
Engaging Jane when she’s not 1st time
Your Black Dress is running out of stock. Make sure you bring it back home! Check out your items with the discount before it expires!
$50
DISCOUNT
$10 OFF
$10
DISCOUNT
Engaging Jane with mobile push notification
First time buyer Jane Normal Jane
Forget something! Check
slide to view message Don’t forget to checkout your Lovely Black Dress! It’s running out of stock! slide to view message
Engaging Jane with email
First time buyer Jane Normal Jane
Check out your items with the discount before it expires!
Your Black Dress is running out of stock. Make sure you bring it back home!
$10 OFF
Engaging Jane on Facebook
First time buyer Jane Normal Jane
Check out your items with the discount before it expires! Black Dress is running
you bring it back home!
$15
DISCOUNT
$10
DISCOUNT
Results overtime: Revenue impact by purchase stage (Before)
Close to 80% of all revenues from single purchase customers
Results overtime: Revenue impact by purchase stage (after)
Now (50%+) revenues generated from repeat customers & increasing
@Emarsys #TrustTheMachine
ACROSS CHANNELS
Retention Conversion
COLLECT TRANSFORM EXECUTE CAPTURE DATA ANALYZE AUTOMATE PERSONALIZE
Personalization Layer UNIFIED PROFILE
UNIFY DATA SCIENCE BASED ACTIONABLE INTELLIGENCE
Take action across customer lifecycle
Brand interaction Time
3
EARLY DORMANCY NOTIFICATION
1
INTRODUCTORY OFFERS WELCOME BACK
2
RE-ACTIVATION PROGRAM
3 3
SURVEY / OFFERS WELCOME PROGRAM
1
LOST CUSTOMER
4 2
STATEMENTS
2
BIRTHDAY / ANNIVERSARY
2
CROSS SELL / UP SELL
1
SURVEY
1
NEWSLETTERS
1
LOYALTY OFFERS
2
Post Store Purchase
Purchased offline Send email Include treatment / recs / near
Revenue attribution
Exit detected Did not purchase Send email Include treatment / near offers Revenue attribution
Abandoned Store
beacon enabled
Returned goods recovery
Returned goods Send email include treatment / related recs / near offers Revenue attribution
@Emarsys #TrustTheMachine
The Solution
Data Integration + Purchase Analysis + Customer Lifecycle execution + Recommendation technology
@Emarsys #TrustTheMachine
Automated Lifecycle Programs
Abandoned Cart Birthday Welcome Abandoned Browse First Time Buyer Post Purchase Win Back @Emarsys #TrustTheMachine
How does that look on the lifecycle?
Brand interaction Time
3
EARLY DOMANCY NOTIFICATION
1
INTRODUCTORY OFFERS WELCOME BACK
2
RE-ACTIVATION PROGRAM
3 3
SURVEY / OFFERS WELCOME PROGRAM
1
LOST CUSTOMER
4 2
STATEMENTS
2
BIRTHDAY / ANNIVERSARY
2
CROSS SELL / UP SELL
1
SURVEY
1
NEWSLETTERS
1
LOYALTY OFFERS
2
The result
Total website revenue Through retention channels
Increase in revenue from repeat purchases
ROI after five weeks
@Emarsys #TrustTheMachine
Ben Glynn Managing Director, Emarsys SEA
@Emarsys