Case Study: Scaling Customer Data -- How Leading CPG Brands Serve Millions of Individual Consumers - James McDermott

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Learn from real stories and real organizations that saw successes in the digital customer experience ecosystem. More information is coming soon!

Scaling Customer Data:
How Leading CPG Brands Serve Millions of
Individual Consumers

@lytics
Copyright © 2018 Lytics, Inc. All rights reserved. Confidential and proprietary
@lytics
New marketplace forces
are driving change
These new norms are forcing
companies to rethink their
marketing practices, putting the
individual customer at the center.
Subscription economy
Consumer-direct
relationships
Data privacy and
compliance
CUSTOMER
AT THE CENTER

The challenge today
• 6000+ martech tools
• Knowing each customer across
every marketing channel is hard
• Data privacy regulations require
new technology & programs
• Difficult to operationalize 1:1
marketing with speed and agility
@lytics

New Smart Data Layer
across all marketing applications and databases
providing predictive insights and enabling real-time activation

5
HEINEKEN SERVES CUSTOMERS
IN THE MOMENT
Doubled email engagement and increased Facebook campaign
effectiveness 300 percent by delivering timely personalized
offers based on what individual customers want

6
NESTLÉ PURINA UNDERSTANDS
THE RELATIONSHIP WE HAVE WITH OUR PETS
Increased sales 33% by recommending offers
specific to our pet’s breed and age

7
GENERAL MILLS HELPS
CONSUMERS MAKE MEMORIES
Increased conversions 38% by orchestrating journeys
across Pillsbury, Betty Crocker and Tablespoon.com brands

How does Lytics help?
@lyticsio
CUSTOMER FIRST
INITIATIVES
DELIVER CROSS-CHANNEL
IDENTITY RESOLUTION
ORCHESTRATE
CROSS-CHANNEL
CUSTOMER JOURNEYS
ACCELERATED
TIME-TO-VALUE
& CONSTANT RESULTS
BUILT-IN
DECISIONING ENGINE
CONNECT ENTIRE
MARTECH STACK
• CDP to power relevant messages
• Privacy-compliant marketing with first-party data
• New smart data layer that marketers &
developers can build on
• Strategic partners to deliver use cases with
accelerated time to value

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