CS Signals
Making Data Based Decisions

Amit Shanker
Director, BI @ MOO.com
Intro to MOO
Problem
Solution
Implementation
Considerations
MOO: An Intro

About: Online print and design company, supplying businesses with great quality
stationery products
History: Founded 2006 in London
Products: Business Cards, Mini Cards, Greeting Cards, Letterheads, Accessories
Customers: Creative professionals (e.g. Photographers) and Professional Services (e.g.
Lawyers)
3
Products

4
Satisfaction Guaranteed

5
A Problem…
Cost of Reprints & Rejects in 2013

£425,965
Reprints: happen after an order is received by customer
Rejects: happen before an order is dispatched by MOO
6
…Has Amplifications

7
CS: First Port of Call
Customer Queries

order
library

pack

PDP

crop

CMYK

formats

payment

shipping

colour
Luxe
upload
8

bleed

error
Solution: Phase One
Quantifying the Problem
120,000

100,000

80,000

60,000

40,000

20,000

0
Build

9

Buy

Info

Post-order
Solution: Phase Two
Peeling the Build Onion

Data sources for
Signals:
-

Customer Services
Google Analytics
NPS Surveys
Focus groups (Qual)
User Surveys
(Quant)
10
Solution: Phase Three
Signals: Rank Ordering Build Issues
35.00%

30.00%

25.00%

20.00%

15.00%

10.00%

5.00%

0.00%
Selecting and
uploading
images

11

PDP editing

File formats

Bleed

Pack quantity Colour match

PDP locked

Crop marks

Image library
Solution: Phase Four
Prioritising Build Fixes

• Problem:

• It's too complicated to understand what your cards
will actually look like – this leads to cost, time and
stress for customer

• Solution:
• Don’t boil the ocean – be focused!
• Incremental, iterative changes to existing Build flow
using following solutions:
 Messaging and warnings – with helpful solutions
 Preview - live, step-by-step
 PDP editing – contextual help
12
Implementation
Goal Setting

Browse

Engaged
visitors

Build

Purchase
intent

Buy

Paid
Orders

• GOAL for 2014:
• Increase landing page to cart conversion by 7%
for engaged visitors
• Build improvement has a direct positive impact on Buy
13
Considerations
Data = Nirvana?

14
Considerations
Data is necessary, but not sufficient

•
•
•
•
•

Data literacy – new hires
Data training – for existing staff
Tools
Mindset/Culture
Exec support

• Implement evidence based thinking and decision
making in the business…
• … but also use experience, intuition, gut feel etc to
generate hypothesis to test against data
15
That’s all folks!

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