Learn the introductory theory and strategy behind marketing analytics that provides marketers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives. This course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.
Lesson 4: Where It All Begins, Part 2
Loading...
Из курса от партнера University of Illinois at Urbana-Champaign
Digital Analytics for Marketing Professionals: Marketing Analytics in Theory
2096 оценки
University of Illinois at Urbana-Champaign
2096 оценки
Курс 2 из 7 — Specialization Цифровой маркетинг
Из урока
Basic Analytics Techniques and the Data
In this module, you will develop a deep understanding of consumers, their web interactions with brands, and different analytics tools to measure those interactions.
Познакомьтесь с преподавателями
Kevin HartmanVisiting Professor & Head of Analytics at Google
College of Business
At each step along the way there is different questions as
that brands can ask and wouldn't want to get an understanding of,
as well as different information and
data available to them that provides answers to those.
At the point of trigger,
brands would want to know what creates that consumer need?
Why do consumers suddenly feel like they need my product or a competitor's product?
Was it an ad that I placed?
Was it some environmental issue that popped up?
What is better?
Understanding an answer to that question can provide to a brand great insight
into when they need to intersect with the consumer and how they
need to position messages.
The question around the initial consideration set for brands is pretty clearly.
Am I part of that list?
Do customers recognize my brand?
Are they aware of me and my products?
And how trusting, how much do they know about me?
Brands in this sense,
to get on that initial consideration set,
must build great trust and loyalty with consumers,
must be present at the time that they have these needs and
must have some kind of relationship developed with them to make that set.
But if you're not on that initial consideration set,
not everything is lost for a brand because you have the chance during
active evaluation to get into the consumers mindset,
to get into their decision process.
At that point, what is important for brands to understand is
what kind of needs do consumers have and in
the products that I have, satisfy those needs?
Am I positioning them in a way that makes those products,
those brands attractive to consumers?
So understanding what consumers are evaluating during that process is vitally
important to brands and a way for them to really win that zemur.
At moment of purchase brands will ask a number of
questions but one of them are my sales efforts resulting in wins for my brand?
So are the things that I'm doing at shelf,
or in store, or even if I have an online component, my checkout process.
Am I facilitating sales there so that at the moment of purchase I am winning?
And then what can I do to improve the the win percent that I have?
In the post-purchase experience,
the primary question that brands will ask are: do the experiences I deliver fulfill
the expectations that consumers have of my product and what can I do to help them?
This is where customer service comes in.
This is certainly where having
a good solid product and a reputable name behind it comes into play as well.
And then in the loyalty loop,
another question that brands are going to ask is: do customers advocate for my brand?
If they are advocating for my brand,
I know that I've got a loyal strong customer.
I know that that someone who,
most likely is entering into loyalty loop next time that that trigger comes about.
So, those are some of the primary questions that brands may ask of
consumers during their process of purchase.
And it's laid out very well in this consumer decision journey.
And one of the things that I love about
this framework in particular is that it takes something that
is very complicated as we've seen to be very very involved and made it very simple.
Put it into very discrete chunks that 'a' Do work;
when you think about yourself if you're buying a car or if you're standing in line at
a grocery store and look at a number of candy bars,
you're really, whether you know it or not,
going into the same phases.
Perhaps for someone who only needs one kind of candy bar,
then you have gone from the trigger of being hungry and
seeing a candy bar through the loyalty loop and making that purchase.
Otherwise, you may do a quick scan.
You are effectively doing an active evaluation there.
And as I said it doesn't matter how big or small the product is.
The only thing that's really going to differ is the amount of
time that you are that you are in this in this journey.
There are also, for
each step in that journey then and because you have different questions,
different analysis techniques that you can employ to get those answers.
So for trigger,
a good method of understanding what drives a consumer's clickstream analysis.
Taking a look at how they're interacting with you online,
where they're coming from,
what has motivated them to come and check you out,
that could be the trigger that incites purchase in your industry.
And so a clickstream analysis can provide that kind of information.
Competitive intelligence is clearly a way to get a sense for
who is winding up on the consumer's initial consideration set.
Who are the brand leaders?
Who are the competitors out there that,
I as a brand am up against?
Experimentation and testing is a great method for assessing active evaluation.
If you're putting in different inputs,
different advertising, or different programs,
seeing as consumers are in active evaluation,
how they're reacting and what is working gives you
great insight into your ability to influence them.
And we'll also reveal to you what is
important and what is not so important to those consumers.
Outcomes analysis is a great way to look at that moment of purchase and,
say someone purchased something,
what were the factors that led up to that.
So that's a that's a very powerful set of
analyses that can be done at that point and reveal great insights.
And then clearly, during the post-purchase experience,
hearing from the customer through a voice of
customer study particularly around
the experience that they've had with that product and crafting some surveys there,
is a great way to get the information that will be vital for
you in a setting consumer expectations,
but then also improving your products so that you deliver a better experience.
And then on the loyalty loop,
clearly again a great opportunity for voice of
customer to take a look at the advocacy that's been going on there.
And social media is a great space for that.
People will take to Twitter,
take to Facebook and talk about the products that they love.
Collecting that information in and developing that voice of a customer
is a great way to get a good insight and sense into that advocacy.
Now there are a number of tools available for you,
either free or very low investment banking
can conduct all of those different activities that we talked about.
As an analyst what's important for you is to get a sense for which of these you like,
which you don't like as well,
what works for you, what doesn't,
so that you can walk into an analysis and know the tools that you have available and
a familiarity with so that you can efficiently and effectively conduct that analysis.
Let's quickly sum up what we've learned in this lesson.
We saw that the customer's digital life,
the consumers digital life is very very busy and very complicated.
We saw that to make sense of that you
need some kind of framework that's going to allow you
to organize that data that's being thrown off in that digital life.
McKinsey's consumer decision journey is one such framework that works very well,
something that we talked about in this lesson.
And that at each step of that consumer decision journey,
there are new questions that come relevant for brands.
And then also how data can be used to answer each of those questions.
A little supplemental reading for you in this lesson,
great resource on the consumer decision journey to get much deeper into
that theory behind the development of that framework,
as well as some case studies of that framework being used today.
Ознакомьтесь с нашим каталогом
Присоединяйтесь бесплатно и получайте персонализированные рекомендации, обновления и предложения.
Coursera делает лучшее в мире образование доступным каждому, предлагая онлайн-курсы от ведущих университетов и организаций.
© Coursera Inc., 2018 Все права защищены.
