Consumer behavior in marketing - patterns, types, segmentation - Omniconvert Blog (2024)

How many times do you make decisions throughout the day? What should I wear today? What perfume should I put on? What am I going to have for lunch?

If you think about it, we make many buying decisions every day without giving them much thought.

These decisions, as insignificant as they might seem, keep marketers up at night. Because decoding the processes behind customers’ decisions means that we can use that info to boost revenue.

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What is the meaning of consumer behavior?

Consumer behavior is the study of consumers and the processes they use to choose, use (consume), and dispose of products and services, including consumers’ emotional, mental, and behavioral responses. Understanding consumer behavior is crucial for businesses to create effective marketing strategies that can influence consumers’ decision-making processes.

Consumer behavior incorporates ideas from several sciences including psychology, biology, chemistry, and economics.

By understanding consumer behavior, businesses can tailor their marketing efforts to target specific groups, improve brand loyalty, and identify emerging trends. This knowledge can also help businesses stay ahead of their competition and adapt to changes in consumer behavior.

In conclusion, understanding consumer behavior is vital to any successful marketing strategy. By analyzing the factors that influence consumer behavior, businesses can develop effective marketing campaigns that cater to the needs and wants of their target audience.

In this guide, we’ll look at the different aspects and facets of consumer behavior and discuss the most effective types of customer segmentation.

Why is consumer behavior important?

Studying consumer behavior is important because it helps marketers understand what influences consumers’ buying decisions.

By understanding how consumers decide on a product, they can fill in the gap in the market and identify the products that are needed and the products that are obsolete.

Studying consumer behavior also helps marketers decide how to present their products in a way that generates a maximum impact on consumers. Understanding consumer buying behavior is the key secret to reaching and engaging your clients, and converting them to purchase from you.

A consumer behavior analysis should reveal:

• What consumers think and how they feel about various alternatives (brands, products, etc.);
• What influences consumers to choose between various options;
• Consumers’ behavior while researching and shopping;
• How consumers’ environment (friends, family, media, etc.) influences their behavior.

Consumer behavior is often influenced by different factors. Marketers should study consumer purchase patterns and figure out buyer trends.

In most cases, brands influence consumer behavior only with the things they can control; think about how IKEA seems to compel you to spend more than what you intended to every time you walk into the store.

So what are the factors that influence consumers to say yes? There are three categories of factors that influence consumer behavior:

1. Personal factors: an individual’s interests and opinions can be influenced by demographics (age, gender, culture, etc.).
2. Psychological factors: an individual’s response to a marketing message will depend on their perceptions and attitudes.
3. Social factors: family, friends, education level, social media, income, all influence consumers’ behavior.

Types of consumer behavior

There are four main types of consumer behavior:

1. Complex buying behavior

This type of behavior is encountered when consumers are buying an expensive, infrequently bought product. They are highly involved in the purchase process and consumers’ research before committing to a high-value investment. Imagine buying a house or a car; these are an example of a complex buying behavior.

2. Dissonance-reducing buying behavior

The consumer is highly involved in the purchase process but has difficulties determining the differences between brands. ‘Dissonance’ can occur when the consumer worries that they will regret their choice.

Imagine you are buying a lawnmower. You will choose one based on price and convenience, but after the purchase, you will seek confirmation that you’ve made the right choice.

3. Habitual buying behavior

Habitual purchases are characterized by the consumer having very little involvement in the product or brand category. Imagine grocery shopping: you go to the store and buy your preferred type of bread. You are exhibiting a habitual pattern, not strong brand loyalty.

4. Variety-seeking behavior

In this situation, a consumer purchases a different product not because they weren’t satisfied with the previous one, but because they seek variety. Like when you are trying out new shower gel scents.

Knowing what types of customers your e-store attracts will give you a better idea about how to segment customer types.

What affects consumer behavior?

Many things can affect consumer behavior, but the most frequent factors influencing consumer behavior are:

1. Marketing campaigns

Marketing campaigns influence purchasing decisions a lot. If done right and regularly, with the right marketing message, they can even persuade consumers to change brands or opt for more expensive alternatives.

Marketing campaigns, such as Facebook ads for eCommerce, can even be used as reminders for products/services that need to be bought regularly but are not necessarily on customers’ top of mind (like insurance for example). A good marketing message can influence impulse purchases when optimized with ChatGPT assistant for ads.

2. Economic conditions

For expensive products, especially (like houses or cars), economic conditions play a big part. A positive economic environment is known to make consumers more confident and willing to indulge in purchases irrespective of their financial liabilities.

The consumer’s decision-making process is longer for expensive purchases and it can be influenced by more personal factors at the same time.

3. Personal preferences

Consumer behavior can also be influenced by personal factors: likes, dislikes, priorities, morals, and values. In industries like fashion or food, personal opinions are especially powerful.

Of course, advertisem*nts can influence behavior but, ultimately, consumers’ choices are greatly influenced by their preferences. If you’re vegan, it doesn’t matter how many burger joint ads you see, you’re not gonna start eating meat because of that.

4. Group influence

Peer pressure also influences consumer behavior. What our family members, classmates, immediate relatives, neighbors, and acquaintances think or do can play a significant role in our decisions.

Social psychology impacts consumer behaviour. Choosing fast food over home-cooked meals, for example, is just one such situation. Education levels and social factors can have an impact.

5. Purchasing power

Last but not least, our purchasing power plays a significant role in influencing our behavior. Unless you are a billionaire, you will consider your budget before making a purchase decision.

The product might be excellent, and the marketing could be on point, but if you don’t have the money for it, you won’t buy it.

Segmenting consumers based on their buying capacity will help marketers determine eligible consumers and achieve better results.

Customer behavior patterns

Buying behavior patterns are not synonymous with buying habits. Habits are developed as tendencies towards an action and they become spontaneous over time, while patterns show a predictable mental design.

Each customer has his unique buying habits, while buying behavior patterns are collective and offer marketers a unique characterization. Customer behavior patterns can be grouped into:

1. Place of purchase

Most of the time, customers will divide their purchases between several stores even if all items are available in the same store. Think of your favorite hypermarket: although you can find clothes and shoes there as well, you’re probably buying those from actual clothing brands.

When a customer has the capability and access to purchase the same products in different stores, they are not permanently loyal to any store unless that’s the only store they have access to. Studying customer behavior in terms of choice of place will help marketers identify key store locations.

2. Items purchased

Analyzing a shopping cart can give marketers lots of consumer insights about the items that were purchased and how much of each item was purchased. Necessity items can be bought in bulk while luxury items are more likely to be purchased less frequently and in small quantities.

The amount of each item purchased is influenced by the perishability of the item, the purchasing power of the buyer, unit of sale, price, number of consumers for whom the item is intended, etc.

3. Time and frequency of purchase

Customers will go shopping according to their feasibility and will expect service even during the oddest hours, especially now in the era of e-commerce where everything is only a few clicks away.

It’s the shop’s responsibility to meet these demands by identifying a purchase pattern and matching its service according to the time and frequency of purchases.

One thing to keep in mind: seasonal variations and regional differences must also be accounted for.

4. Method of purchase

A customer can either walk into a store and buy an item right then and there or order online and pay online via credit card or on delivery.

The method of purchase can also induce more spending from the customer (for online shopping, you might also be charged a shipping fee for example).

The way a customer chooses to purchase an item also says a lot about the type of customer he is. Gathering information about their behavior patterns helps you identify new ways to make customers buy again, more often, and with higher values.

Think about all the data you’ve already collected about your customers. The purchase patterns are hiding in your e-store’s analytics and you can either look for insights manually or integrate a tool with your eCommerce platforms such as Shopify or WooCommerce to get automated insights about behavior patterns.

Customer behavior segmentation

Customer segmentation and identifying types of buyers have always been important. Now that personalization and customer experience are factors that determine a business’s success, effective segmentation is even more important.

Only 33% of the companies that use customer segmentation say they find it significantly impactful, so it’s important to find the segmentation technique that brings clarity and suits your business.

Traditionally, most marketers use six primary types of behavioral segmentation.

1. Benefits sought

A customer who buys toothpaste can look for four different reasons: whitening, sensitive teeth, flavor, or price.

When customers research a product or service, their behavior can reveal valuable insights into which benefits, features, values, use cases, or problems are the most motivating factors influencing their purchase decision.

When a customer places a much higher value on one or more benefits over the others, these primary benefits sought are the defining motivating factors driving the purchase decision for that customer.

2. Occasion or timing-based

Occasion and timing-based behavioral segments refer to both universal and personal occasions.

• Universal occasions apply to the majority of customers or target audiences. For example, holidays and seasonal events are when consumers are more likely to make certain purchases.
• Recurring-personal occasions are purchasing patterns for an individual customer that consistently repeat over a while. For example, birthdays, anniversaries or vacations, monthly purchases, or even daily rituals such as stopping for a cup of coffee on the way to work every morning.
• Rare-personal occasions are also related to individual customers but are more irregular and spontaneous, and thus more difficult to predict. For example, attending a friend’s wedding.

3. Usage rate

Product or service usage is another common way to segment customers by behavior, based on the frequency at which a customer purchases from or interacts with a product or service. Usage behavior can be a strong predictive indicator of loyalty or churn and, therefore, lifetime value.

4. Brand loyalty status

Loyal customers are a business’s most valuable assets. They are cheaper to retain, usually have the highest lifetime value, and can become brand advocates.

By analyzing behavioral data, customers can be segmented by their level of loyalty so marketers can understand their needs and make sure they satisfy them.

Loyal customers are the ones who should receive special treatment and privileges, such as exclusive rewards programs to nurture and strengthen the customer relationship and incentivize continued future business.

5. User status

There are many different possible user statuses you might have depending on your business. A few examples are:

• Non-users
• Prospects
• First-time buyers
• Regular users
• Defectors (ex-customers who have switched to a competitor).

6. Customer journey stage

Segmenting the audience base on buyer readiness allows marketers to align communications and personalize experiences to increase conversion at every stage.

Moreover, it helps them discover stages where customers are not progressing so they can identify the biggest obstacles and opportunities for improvement, even on post-purchase behaviors.

Besides these traditional ways, another type of segmentation is the RFM model. This approach is popular among eCommerce marketers because it helps them create customer experiences around the information they’ve got about each customer segment.

RFM is a behavioral segmentation model and the three letters come from Recency, Frequency, and Monetary Value.

Here’s what these variables show you:

• Recency = how recently a customer placed the last order on your website;
• Frequency = how many times a customer purchased something from your website in the analyzed period of time;
• Monetary Value = how much each customer has spent on your website since the first order.

The RFM model analysis can be executed in 2 ways:

• Manually – exporting your database in a spreadsheet and analyzing your customers following the rules for RFM analysis;
• Automatically – through certain tools that are creating RFM dashboards.

RFM segmentation and analysis can reveal who your most loyal and profitable customers are and also:

• Reveal what brands and products are dragging your business down;
• Build custom recommendations for your customers;
• Solve certain Customer Experience problems.

Before making decisions based on gut feeling regarding your customers and your audience, observe their behavior, listen to them and build a relationship that will make them stay loyal no matter how aggressive your competitors are.

Frequently asked questions