Understand the importance of data behavior in marketing

You already know that brands spend millions every year to attract, retain and engage their ideal customers, right?

In this process, they create highly targeted interactive advertising campaigns and generate digital and content marketing plans that target consumers on an individual basis.

So what’s your secret?

Well, these companies develop their campaigns based on data collected throughout the customer lifecycle .

They also use this valuable information to create personalized and targeted shopping experiences.

The good news for you? Your company can do exactly the same thing .

Here is our post on the different ways to collect and use behavioral data (with examples from leading brands).

Enjoy it!

What is data behavior?

Data behavior is what drives united states of america phone number list digital marketing activities.

It is important information about customers’ purchasing habits and is collected every time someone purchases a product online or visits a restaurant, for example.

Let’s think about convenience stores for a moment:

• Owners can observe how their customers shop, what they buy, and how often they enter the store;
• They know their customers by their first names and probably know their children’s names and when their birthdays are;
• These owners know exactly when to buy the most popular products because they know their customers’ purchasing habits.

Now imagine gathering this kind of information, but on a much larger scale. It’s quite difficult.

For this reason, e-commerce and retail chain owners need better methods to track customer behavior .

And that’s where data collection technologies come into play to understand how consumers shop and why they make their purchasing decisions.

Why should you collect data on consumer behavior?

First, to understand how your brands can also find zeta on customers behave, you need to create a 360-degree view of the customer journey.

You will begin by understanding the types of factors that influence purchasing behavior .

We all know that the media and social networks bombard consumers with digital marketing, branding and content messages to influence them.

But sometimes buyers make their decisions based on references or suggestions from their group of friends, their family, or simply on what they like and what they don’t like.

This brings us to the main point.

Collecting data about the individual consumer, how they make their decisions and why they buy your products will help marketers create a more satisfying shopping experience.

And believe us: a lot of it has to do with customization.

Let’s look at some statistics. 75% of Netflix viewer activity is due to recommendations, and 35% of Amazon’s revenue is generated through its recommendation mechanism.

Impressive, don’t you think?

Consumers are obsessed with technology and constantly demand a personalized experience across all communication channels.

In this context, marketers must collect and use data on consumer behavior to create better experiences , optimizing the three stages of the customer lifecycle:

1. The acquisition stage, where consumers decide what products they will buy and where they will buy them;
2. The engagement stage, which determines which channels and promotions will attract customers;
3. And the retention stage, the process of pleasing customers and turning them into advocates for your brand.

How is data behavior collected?

Simple. A Customer Relationship Management ( CRM ) system collects and stores information about consumers.

This data includes personal demographic sg number information such as job, age, and customer interests. CRM also collects purchasing activities such as what products were purchased and how much they paid.

Many brands track customer intentions, which helps predict what products they are considering purchasing in the future.

Visiting certain websites or reading blogs to do research are purposeful activities. Surveys and other types of marketing research tools also collect valuable customer feedback.

Many brands use standardized surveys. One popular model is the so-called Net Promoter Score.

Customer experience teams periodically send out email surveys asking consumers if they would recommend the brand to a friend.

There is a scale from 1 to 10 that indicates which customers are promoters (9-10), passives (7-8) or detractors (1-6).  In addition, customer forums, social media channels and focus groups are popular ways to gather consumer perceptions and attitudes towards the brand.

Not only can businesses find out who their loyal customers are, but they can also target digital marketing campaigns to reward their advocates.

How do you analyze consumer behavior data?

Well, now you have some extraordinary data in your hands.

Consumer activity and behaviors are measured on your website and ecommerce platform using analytics tools, such as Google Analytics .

In addition, social channels such as Facebook and Twitter are providing their own valuable insights through their data analytics platforms.

But let’s be honest.

There are millions of transactions every minute, so it’s not easy to keep track of everything .

That’s why many brands rely on consumer data analytics software to organize and report on purchasing trends for their products and those of their competitors.

This is a smart way to present information in a format that business executives and marketing professionals can quickly understand.

The software can process large volumes of data and generate interactive reports and dashboards in real time.

As a result, decisions can be made quickly without worrying about a delay in information . This helps businesses keep their campaigns up-to-date and relevant to their customers.

How to use data behavior to succeed in your marketing strategies

The best advice we can give you here is: listen to what your data is saying.

Why are they shouting? Because we live in an era of conscious consumers, where very few things are tolerated.

People aren’t afraid to take a stand — and will easily turn on unethical companies.

Yes, using consumer data helps businesses create better (and more personalized) shopping experiences.

But it also educates brands about behavioral trends in a rapidly changing world .

It encourages companies to be more transparent about their processes and rewards them for doing so.

In this way, data on consumer behavior can actually guide the improvement of strategies that are more aligned with a new (and conscious) way of shopping.