From Clicks to Connection: How Amazon and Nike Master Personalized Marketing.

A recent example of being part of a target audience came from an Amazon campaign that promoted running accessories and home fitness items after browsing similar products. The message featured items such as running socks, water bottles, resistance bands, and suggested shoes based on past viewing and purchase behaviour. This is a clear example of Personalized Marketing Insights from Amazon and Nike because the campaign did not feel random. It appeared to connect recent online searches, previous purchases, product categories viewed, and timing. Ferrell, Hartline, and Hochstein (2022) explain that segmentation and target marketing involve dividing a broad market into smaller groups with shared needs, behaviours, or characteristics. In this case, Amazon likely placed me in a consumer segment connected to fitness interest, online shopping activity, price comparison behaviour, and a willingness to respond to convenience-based recommendations.

Product recommendations often begin with simple clues from everyday purchases.

The customer attributes that may have placed me in Amazon’s target audience include behavioural and psychographic traits. Behavioural attributes could include browsing athletic products, adding items to a cart, buying related fitness goods, or clicking on previous recommendation emails. Psychographic attributes may include interest in health, convenience, value, and self-improvement. Demographic information, such as age range, location, household needs, or income signals, may also help shape the campaign, but behaviour was probably the strongest clue. Graham and Kennedy (2022) discuss the importance of quantifying a target market for advertisers, especially because brands need to estimate which consumers are likely to notice, value, and act on a message. Amazon’s recommendation model fits this idea because it tries to send relevant offers to people who show measurable signs of purchase intent.

Running habits can become signals for fitness-related campaigns.

Nike offers a similar but more lifestyle-driven example. A Nike campaign promoting running shoes, training gear, or membership rewards may target someone who has searched for athletic footwear, followed exercise routines, bought sportswear, or shown interest in running and wellness content. Unlike Amazon, which often focuses on product convenience and purchase history, Nike’s campaign may rely more strongly on identity and motivation. Nike often speaks to consumers who see fitness as part of their lifestyle, not only as a product need. My likely customer attributes in this segment would include interest in running, comfort-focused footwear, performance apparel, mobile shopping, and brand connection. This reflects Ferrell et al.’s (2022) point that strong target marketing depends on understanding not only what customers buy, but also why they buy.

Lifestyle brands often connect products with goals, routines, and personal identity.

The difference between Amazon and Nike shows how two brands can use targeting in different ways. Amazon likely uses data to predict immediate buying needs, while Nike uses data to connect products with aspiration, performance, and loyalty. Both campaigns show why segmentation matters. A campaign works better when the brand understands the audience’s needs, interests, and likely response. Graham and Kennedy (2022) suggest that advertisers benefit when they can define and measure target markets more clearly because this helps reduce waste and improve message relevance. For consumers, this can make marketing feel helpful when it matches real needs, although it can also feel intrusive if personalisation becomes too intense or unclear.

Personalised campaigns work best when they match real routines and needs.

These examples show that personalised marketing is most effective when it combines useful data with a clear understanding of the customer. Amazon’s campaign likely identified a practical shopper with recent fitness-related intent, while Nike’s campaign likely identified a consumer motivated by activity, performance, and lifestyle identity. In both cases, the target audience was not just “people who exercise”, but a narrower segment with specific behaviours and interests. That is the value of segmentation and target marketing: it helps brands speak to the right people with offers that feel relevant, timely, and useful.

References

Ferrell, O. C., Hartline, M. D., & Hochstein, B. W. (2022). Marketing strategy: Text and cases. Cengage.

Graham, C., & Kennedy, R. (2022). Quantifying the target market for advertisers. Journal of Consumer Behaviour, 21(1), 33–48. https://doi.org/10.1002/cb.1986