Monetization: Understanding what drives value in the digital channel
By Erik Koto | 0 Comments | Posted in in Analytics | Permalink
Ask a room full of digital
marketers what “Monetization” means and you’ll get a lot of responses. For some, it’s a
reporting metric; for others, it means better merchandising and high conversion
rates; for still others, it’s figuring
out how to make any money at all from a website (Twitter anyone?). At
ZAAZ, we have our own take on monetization – one we think is critical for all
digital marketers:
Monetization modeling is the analysis of consumer behaviors across the
digital channel to understand how different behaviors create business value.
To explain this approach, it’s important to understand some key terms:
‘Behaviors’
Behaviors are the building blocks of the monetization
model. When we engage in monetization modeling, we start by analyzing
discrete user interactions, or behaviors. For example, with a consumer products
company, we’ll analyze how product videos, comparison tools and social media, such
as ratings and reviews, will influence the customers purchasing decision.
By understanding value at a “behavior” level, we can immediately create
actionable recommendations on content strategy.
’Across the digital channel’
Your website is part of
a much broader digital ecosystem, one that is increasingly populated with
content about your brand that you don’t control. Social media, or earned media,
has permanently changed the digital landscape and has a tremendous capability
to create—or destroy—value for your business. Understanding your customers’
social interactions, and how they affect value, is crucial to a comprehensive
digital strategy. Additionally, monetization modeling can be scaled to include bought
media (PPC, display, etc.). Our best clients use monetization as a key
input to media analysis and decision-making.
’Analysis’
Great insights into consumer behavior don’t
happen on a whiteboard. User research and advanced analytics are the foundation
of monetization modeling. And let’s face it: what we’re talking about is
complex and represents a big shift in thinking for many organizations. The
best way to make the transition from “gut-feel decision-making" to "data-driven
decision-making” is by using robust analytics and by having confidence in the
findings.
‘Business value’
Traditional reporting metrics such as site visits,
downloads or media impressions are fine, but what do those behaviors mean in
terms of business value? This is where monetization modeling can turn data into
action. The goal of monetization is to go beyond merely counting and reporting
clicks. Our analysis is designed to specifically isolate how different
interactions drive revenue, profits or cost savings for the business. It is
these insights that we use to inform digital marketing, which brings us to
objective of monetization.
The objective of monetization is to design more effective websites, media
campaigns and social media outreach.
The insights we gain from monetization underpin many of the programs we manage.
Whether it’s developing an ROI-focused optimization program, recommending
site architecture changes, seeding high-value social content, or optimizing bought
media based on value generated instead of CTR, monetization is fundamental to
our performance-driven culture.

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