Imagine you have spent a significant amount on advertising, your website traffic looks healthy, but your sales figures remain stagnant.
According to data compiled by CanadaCreate (2025), an average of 70% of online shopping carts are abandoned globally before checkout, and in the Asia Pacific region (including Indonesia), the figure reaches as high as 80.52%.
This phenomenon is what the business world refers to as customer behavior, which is the study of how individuals select, purchase, use, and dispose of products or services, along with the reasons behind every decision they make.
What Is Customer Behavior?
Customer behavior is the study of how individuals or groups choose, buy, use, and dispose of products, services, ideas, or experiences to satisfy their needs and wants.
More than just a transaction, consumer behavior encompasses the mental and emotional processes that occur before, during, and after a purchase.
For example, before buying a new smartphone, a person might spend 3–4 days comparing reviews on YouTube, reading user comments on forums, and checking camera scores on various review sites. Even after settling on one model, they may still delay the purchase out of worry that a better option exists at the same price point.
Factors Influencing Customer Behavior
Consumer behavior does not occur in a vacuum. The decisions customers make are influenced by a combination of internal and external factors that interact with one another. The following are the four main factors that shape consumer behavior.
Cultural Factors
Culture is the most fundamental determinant of a person’s wants and behavior. Subcultures, such as ethnicity, religion, or geographic groups, also exert a significant influence on consumer preferences.
For instance, consumers in Indonesia tend to prefer products with packaging that displays a halal label, even for non-food product categories.
Social Factors
Reference groups, family, as well as social roles and status shape consumer purchasing decisions both directly and indirectly.
A Dotdigital survey of 4,000 respondents in Australia, Singapore, the UK, and the US showed that recommendations from friends and family are now 45% more influential in brand discovery than in the previous year.
In Indonesia, this phenomenon is clearly visible when consumers trust community recommendations or user reviews more than conventional advertising.
Personal Factors
Personal characteristics such as age, occupation, economic condition, lifestyle, and personality also determine an individual’s consumption patterns. Indonesian consumers in 2026 increasingly prioritize value-for-money and conduct cross-channel research before making a purchase.
This shift requires businesses not only to pursue transaction volume but also to build long-term relevance and loyalty.
Psychological Factors
Motivation, perception, learning, as well as beliefs and attitudes are the psychological factors underlying purchasing decisions. In Indonesia, the trust factor has evolved from being merely a complement to a primary driver of e-commerce growth.
A 2025 Cube Asia report noted that 80% of Indonesian consumers prefer shopping in online malls due to guaranteed quality and product authenticity.
Types of Customer Behavior
Not all purchases happen in the same way. The level of consumer involvement and the perceived differences between brands create four distinct types of purchasing behavior. Understanding these four types helps businesses design more targeted marketing strategies.
| Type of Customer Behavior | Level of Involvement | Differences Between Brands | Product Examples | Suitable Marketing Strategy |
|---|---|---|---|---|
| Complex Buying Behavior | High | Significant | Cars, houses, laptops, premium smartphones | Provide informative content and detailed product comparisons |
| Dissonance-Reducing Buying Behavior | High | Few | Carpets, ceramic tiles, household furniture | Provide post-purchase reassurance and customer testimonials |
| Habitual Buying Behavior | Low | Few | Salt, sugar, tissues, dish soap | Use repetitive advertising and ensure product availability on shelves |
| Variety-Seeking Buying Behavior | Low | Significant | Snacks, soft drinks, shampoo, body wash | Offer new flavor variants regularly and “try something new” promotions |
The following is a more detailed explanation of each type.
Complex Buying Behavior
Complex buying behavior occurs when consumers are highly involved in the purchase process and perceive significant differences between brands. This type is commonly found in high-value, infrequently purchased products such as cars, houses, or expensive electronic devices.
A real-world example is a prospective electric car buyer who typically spends two to three weeks comparing battery specifications, driving range, and maintenance costs before making a decision.
Dissonance-Reducing Buying Behavior
In this type, consumers still have high involvement but find it difficult to distinguish between available brands. After purchasing, consumers often experience doubt (cognitive dissonance) and seek validation that their decision was correct.
A classic example is when buying a carpet or ceramic tiles; consumers will continue to look for positive reviews about the purchased product to alleviate post-purchase anxiety.
Habitual Buying Behavior
Habitual buying behavior is characterized by low involvement and few perceived differences between brands. Consumers buy products out of habit rather than deep loyalty to a particular brand.
Products like salt, sugar, tissues, or dish soap are usually purchased without much consideration. Consumers tend to grab a familiar brand or the one most easily accessible on the store shelf.
Variety-Seeking Buying Behavior
Variety-seeking behavior occurs when consumer involvement is low but the differences between brands are quite noticeable. Consumers often switch brands not because of dissatisfaction, but to seek variety or simply to try something new.
The easiest examples are found in the categories of snacks, soft drinks, or personal care products. A consumer might buy brand A shampoo this month, then switch to brand B next month simply to try a new scent.
Examples of Consumer Behavior in Everyday Life
In practice, consumer behavior can be observed in various everyday situations that may seem simple but contain complex patterns.
- Buying phone credit or data packages
Consumers tend to compare prices across operators before purchasing, but once they find a suitable package, they will make repeat purchases habitually without considering other alternatives. - Choosing food through online delivery apps
Consumers often exhibit variety-seeking behavior by deliberately trying new restaurants or menu items each time they order. For example, they might order fried rice from restaurant A this week, switch to noodles from restaurant B next week, and then try a viral menu from restaurant C the following week. - Buying concert or entertainment event tickets
Concert ticket purchases fall under complex buying behavior because they involve considerations of ticket price, seating location, artist lineup, and scheduling planned well in advance. The ticket war that occurs within minutes also adds pressure to the decision-making process. - Buying fashion products trending on social media
Indonesian consumers are heavily influenced by content creators. They do not just buy out of need, but also to be part of a trend, gain social validation, or simply out of curiosity after seeing reviews on TikTok and Instagram. - Monthly household shopping
Indonesian consumers are now more planned in their shopping. They make a shopping list first, compare prices across marketplaces, and choose more durable products to avoid future additional costs, especially among young families.
How to Measure Customer Behavior
Understanding customer behavior cannot rely on observation alone. Businesses need to measure customer behavior quantitatively so that the data obtained can be acted upon strategically. The following are several key metrics and approaches for measuring customer behavior.
Website and App Behavior Metrics
Digital interaction data provides a real-time picture of how customers behave when visiting your business platform. Several important metrics to monitor include:
- Page Views and Time on Page: Indicate which content or products attract the most customer attention. The longer the time spent on a page, the higher the interest in that product or information.
- Bounce Rate: The percentage of visitors who leave the site after viewing only one page. A high bounce rate may indicate that the content or offer does not match visitor expectations.
- Click-Through Rate (CTR): Measures how effective elements such as buttons, banners, or links are in encouraging customers to take further action.
- Session Recording and Heatmaps: Record cursor movements and clicks to identify the areas most frequently interacted with as well as points where customers experience confusion or friction.
Customer Loyalty and Satisfaction Metrics
Measuring how satisfied and loyal customers are to a brand helps businesses predict long-term retention. Three main metrics commonly used are:
- Net Promoter Score (NPS): Measures how willing customers are to recommend your product or service to others, using a scale of 0 to 10.
- Customer Satisfaction Score (CSAT): Measures the level of customer satisfaction with a specific interaction or transaction, typically using a scale of 1 to 5.
- Customer Effort Score (CES): Measures how easy it is for customers to complete an action, such as making a purchase or getting help from customer service.
Behavior Analysis Based on Historical Data
In addition to real-time metrics, historical customer transaction data also holds valuable insights into long-term behavioral patterns. This approach includes:
- RFM Analysis (Recency, Frequency, Monetary): Groups customers based on how recently they transacted, how often they buy, and the total value of their purchases. This method helps businesses identify the most valuable customers and those at risk of churning.
- Cohort Analysis: Tracks the behavior of a group of customers with the same characteristics or acquisition period over time to see how retention and customer value change.
- Churn Rate Analysis: Measures the percentage of customers who stop using a product or service in a given period and identifies the factors causing them to leave.
Integrating Data from Multiple Channels
Modern customers interact with brands through many touchpoints, ranging from social media, marketplaces, brand apps, to physical stores. An omnichannel analytics approach enables businesses to track customer behavior comprehensively across all these channels.
By integrating data from various sources, businesses can understand the entire customer journey, identify friction points between channels, and create a seamless experience from start to finish.
Benefits of Understanding Customer Behavior for Business
Understanding customer behavior is not merely an academic exercise. For businesses, this insight provides real and measurable competitive advantages.
- Improve marketing strategy effectiveness: By understanding what motivates customers, businesses can design targeted marketing strategies, making promotional messages more relevant and no longer misdirected.
- Drive product development that meets market needs: Analysis of consumer behavior helps identify product features or variants that customers truly seek.
- Increase customer retention and loyalty: Customers who feel understood tend to return and become a source of effective organic promotion through word of mouth recommendations.
- Identify market gaps and differentiation opportunities: By studying consumer behavior towards competitors’ products, businesses can discover unmet needs.
- Reduce customer acquisition costs: More precise targeting means marketing budgets are not wasted on the wrong audience.
- Optimize cross-channel shopping experiences: Indonesian consumers now move from social commerce to marketplaces and then to brand apps. Understanding this pattern helps brands create a smooth omnichannel experience.
Conclusion
Understanding customer behavior is a strategic investment that allows businesses to stop guessing customer desires and instead respond with accurate data and insights.
From cultural factors to types of purchasing behavior, each element provides valuable clues about how customers make decisions. When businesses can read these signals correctly, they not only increase conversions but also build long-term relationships with customers.
For companies looking to go further, solutions like Adaptist Prose from Adaptist Consulting are here to help integrate and analyze customer behavior data comprehensively.
With Prose, your team not only sees “what” is happening but also receives concrete recommendations on “how” to improve customer experience and drive sustainable business growth.
Optimize Your Customer Service
Schedule a demo of Adaptist Prose and see how an integrated ticketing system helps bring tickets, conversations, and customer data together in a single dashboard. With a more structured workflow, teams can respond faster, reduce operational burden, and maintain consistent service quality as the business grows.
FAQ
Customer behavior is the study of customer actions and decisions in general, while customer insight is the actionable deep understanding derived from analyzing that behavior data. In short, customer behavior is the object of study; customer insight is the result of the analysis.
The main cause is friction during checkout. Data shows that 35% of shoppers abandon carts because the site requires them to create an account first, and 41% of cancellations on mobile devices occur because the checkout page takes more than three seconds to load.
Yes, especially during major events such as economic shifts, pandemics, or technological changes. However, fundamental factors like culture and personal values tend to change more slowly.
Start with the data you already have, such as transaction history, website traffic data, and customer reviews. Use basic analytics tools like Google Analytics to see which pages are most visited and at what point customers leave the site.
Absolutely. In fact, MSMEs have an advantage because they are closer to customers and can observe behavior directly. This understanding helps MSMEs compete with larger players through a more personal approach.
