Purchase behavior in the
online world is a very different entity when compared with the traditional
world. With the rise in social and digital media platforms, consumers are
constantly evolving and changing the ways in which they research and purchase
online. New shopping paths are emerging depending on behavior, device,
location, and intent. It’s not just what consumers do that is important; it is
also how, when and why they do it.
Consumers are increasingly
distracted, but smarter. Marketers don't need to lag behind! Digital marketers
need to take a hard look into the data trail that consumers leave behind.
Analysis of this behavior can provide actionable insight into how consumers
arrive at their purchase decision.
One of the chief ways in
which this can be done is in terms of the purchase behavior of the consumers.
In order to implement some key questions need to be answered. They include,
what does your consumer buy online? How frequently? Each time they buy, how
much do they spend? Do they buy products only from a particular category? Or do
they often buy from a variety of categories? The answers to these questions
will enable you to do what is commonly known as a FRAC Analysis in the digital
marketing world.
Simply put, FRAC Analysis
involves:
- Frequency = the number of transactions the customer has made in a fixed time period
- Recency = interval between the times when the latest consuming activity happened and the present
- Amount = monetary value of each purchase action
- Category = types of product purchased, singly or together
This is an excellent way
to segment your existing customer base and slot them into buckets. Some buckets
will respond better to offers and promotions than others, so your email
marketing or App marketing efforts can be concentrated on them for best
results. Not only that, over time, the FRAC Analysis can also begin to help you
predict how the customer lifetime value changes over time and to spot trends
that help you maintain/retain the hold you have on your most profitable
customers.
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