With over 5 million digital users, Taco Bell's brand pulls in massive amounts of data to explore and learn from. In partnership with their eCommerce Innovation team, learn how we helped them to set up a testing learning agenda, and what we learned from our missteps and results along the way. In this session, we will show you how we defined strategic questions to understand why our testing mattered, show examples of our digital tests, and share what we did with our findings. (Hint: It was pretty cool!)
Speakers:
Cher Fuller, eROI
Christine Li, Taco Bell
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More data is being collected
and analyzed today than at
ANY OTHER TIME IN HISTORY.
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2.5 billion gigabytes
of data are collected
every day.
90% of globally stored
data was collected in
the past two years.
IBM: What is Big Data? https://www-01.ibm.com/software/data/bigdata/what-is-big-data.html
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A LEARNING AGENDA asks specific
questions in a specific order to set the
framework for a testing strategy.
15. LEARNING AGENDA
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Hierarchy
Benefits Content Types
Information hierarchy strongly influences user engagement.
By testing how prominently we present messages, we can
measure what our users really care about—and why.
To understand consumer incentive,
we must pinpoint the benefit to
online ordering.
Without this incentive, online
ordering loses its value and risks
shifting to in-store purchases.
Test engagement within several modules against a
control to learn if specific types of content are more
engaging than others.
Once we understand the value of certain modules, we
can make strategic decision around when/where to place
them in triggered emails.
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Before starting any
LEARNING AGENDA, ask…
What are
you testing?
What do you
want to learn?
Why are you
testing it?
What will you do
with your insights?
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qualitative data branding operations quantitative data
performance
Audience
Brand position
Message / tone
Visual style direction
Content strategy