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Customer types, patterns, and segments

Whether you’re in Product or Service management, Sales, or Marketing you know that having an understanding of the customer, analyzing, and keeping track of their behaviour is critical for the effectiveness of your business.

Customers make thousands of calculated and spur-of-the-moment decisions every waking hour of the day from deciding what they will eat to what they’ll wear. It is easy to think that the many ‘buy’ decisions, in particular, are made without too much thought, particularly the less significant ones.

Decoding the thought processes behind customer decisions is no mean feat, particularly if you don’t have the data to back up your hypotheses around why customers do certain things.

The Customer Data Model

We try to decode the thinking because ultimately it can help us understand how customers arrive at their decisions and choices. In the study of customer behaviours, in particular, you’re looking at the processes customers apply to choose, use and dispose of your products and services and this includes factoring in their emotional, mental, and behavioural responses. Behaviour analytics examines the customer through the analytical lenses of psychology, biology, chemistry, and economic practices. For marketers, these analyses help in understanding what influences the acquire, buy and discard decisions. This in turn leads to a rehoning of the message, branding, positioning, promotions, advertising, and even what is ultimately formulated as a product or service.

Only through an in-depth understanding of the customer can businesses hope how best to decide on products and service offerings and how adequately they fill gaps in the market and are needed and wanted.

Revealing the customer

There are three categories of factors that are considered an influence customer behaviour:

  • Personal: the customer’s interests and opinions as influenced by their age, gender, ethnicity, and culture.
  • Psychological: the customer’s reaction to particular kinds of messaging, which is dependent on their personal perceptions, attitudes, and mentality.
  • Social: factors such as family, friends, education level, social media, income, and socioeconomic status all have an influence on customer behaviour.

In addition, there are four principal types of “buy” behaviour outcomes amongst customers; complex, dissonance-reducing, habitual, and variety or variability buy behaviours.

Complex buying behaviour is typically associated with infrequent big-ticket product or service purchases. Such buy activities are complex in that the customers of engaging in a great deal of research before committing to the investment. Examples are purchases of high-end luxury goods, houses, cars, and holidays.

Dissonance-reducing buy behaviour sees the customer encountering difficulties in determining the differences between specific products or brands. This ‘Dissonance’ often occurs when the customer fears making a bad choice. Clothing purchases may manifest this but equally, this can be present when buying appliances or electronic goods. Habitual buying behaviour.

Habitual purchases typically involve very little preference, bias, or influence in the product or brand category because the risk is relatively low and there is no major emotional or cognitive investment. While grocery brands will often suggest that this implies brand loyalty, the reality is that in many cases the customer chooses based on past positive experiences which may be tied to price, look, feel, scent, taste, or overall experience. The repeat purchases are habitual rather than carefully thought through.

Variety and variability in purchase behaviour are typically directly associated with past frustration, disappointment, or a bad experience with a previous purchase decision.

The highly configurable Pretectum CMDM schema


Pretectum believes that for you to have the best effect in terms of influence on the subscription to your services or the purchase of your products, you need to have the best possible understanding of your customer through the customer master data repository. This can help to inform your business in relation to how to target customers, what their purchasing power is like, their likes and dislikes and who influences their decision-making processes.

The Pretectum CMDM enables you to decide the aspects that you need to maintain within the customer master, from an understanding of buying patterns to what they are buying, where, and when they buy, and how they pay.

Consider what you store about your customers today and consider what you could store with the Pretectum CMDM to help your business in getting closer to your customers and being able to more appropriately understand and provide them with the goods and services that they want.

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Social Shopping and Social Commerce

Social shopping or S Commerce is a type of eCommerce that seeks to involve people with similar tastes in an online shopping experience. Sites like Pinterest claim to differentiate because on the one hand they offer the ability to pin items of interest but on the other hand they allow targeted marketing and click-through referral opportunities through image relationships. Arguably TikTok and Snapchat are also powerful channels for brands to launch their eCommerce campaigns. In fact, perhaps more than 50% of Snap’s business is in Direct Response advertising.

Many social shopping sites are similar in feel and design to social curation site Pinterest. E-commerce experts suggest this is not coincidental, that the approach is catering to a new generation of shoppers who enjoy and expect a “Facebook experience” where users like and share as part of their online life and are seen to do this.

Social shopping sites, like Kaboodle and ShopStyle, offer recommendations to members in the same way that you’ll see on Amazon Etsy and eBay.

The concept of Social Shopping makes presentations personal, by providing members with the ability to create personal boards, preferences and lists. For these sites, stickiness comes in the concept of community and the opportunity to engage in a dialogue with friends and peers. The goal is to build community by encouraging members to talk about products and preferences and make suggestions directly to their friends and social contacts as they might if they were shopping together in actual bricks and mortar stores.

Social commerce is that segment of eCommerce where sellers can actually sell and not just market their products directly through the social media platform, they can also browse goods catalogues and make those direct purchases.

Unlike the more limited, social media marketing, true social commerce gives the customer the option to perform a direct checkout and settlement.

Right now this is a $90Bn market, so what are the implications for customer data and your business?

Social commerce is a subset of eCommerce makes it easy to measure and evaluate the performance of your ad spend with the various platforms. The social media platforms have built-in eCommerce metrics for impressions, engagement and reach. you can see the number of clicks, the number of views and the level of engagement and perhaps even the response sentiment. All these capabilities come at a price which erodes your potential customer lifetime value. With the average consumer spending around $400 – $500 per annum on social commerce, there are the many costs that are loaded up by the platforms to consider, from the ad spend through the commerce fees and charge and pay commission.

In reality, social commerce is there for shoppers, not businesses. Since the entire process is focused on the particulars of the Social Media platform and if it includes checkout you lose website traffic and the opportunity to harvest some important customer characteristics.

Further, unless you build customer contacts from your shipping or Logistics Execution System (LES), it is questionable who owns the actual customer. The more social platforms take over the buying process, the more they take power away from your business. The less data you have the less personalised the experience you can offer both online and offline.

If those same platforms also sell the customer data they have to others, the further the cut into brand allegiance with shoppers potentially being redirected to competitors including the platform itself if it decides to branch out into retail.

Contact us to learn more about Pretectum’s Customer Master Data Management system.

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