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Ad campaign examples based on customer preferences in the fashion industry

How to personalize advertising campaigns in fashion? See 6 campaign examples built on customer preferences - from style and size, through color and occasion, to fabrics and patterns.

Persooa Editorial

Persooa Editorial

13 kwietnia 2023 1 min read

In fashion, the details drive the purchase - a favorite cut, color, or fabric can decide whether a customer clicks "buy" or keeps scrolling. That is exactly why the fashion industry offers such fertile ground for personalization: you can use almost any product attribute to match a specific shopper's taste.

You can learn a customer's preferences in many ways - from their browsing history, their purchase history, and the results of surveys and quizzes that you place across your e-commerce store. Below you will find 6 campaign examples built on this kind of data.

Table of contents

  1. 01 How to use a customer's preferred style?
  2. 02 How to use their preferred size?
  3. 03 How to use their preferred color?
  4. 04 How to use their preferred occasion?
  5. 05 How to use their preferred fabrics?
  6. 06 How to use their preferred patterns?
  7. 07 Summary

01 1. How to use a customer's preferred style?

Campaign: "Your fashion personality" - Promotions and recommendations based on the style a customer prefers, e.g. casual business, elegant, sporty.

A great place to showcase looks is the listing page, where a given category displays all the pieces of a particular outfit alongside a photo presenting the complete look.

Example based on preferred style

You can also send email campaigns tailored to a style the shopper has taken a liking to.

Example based on preferred style

02 2. How to use their preferred size?

Campaign: "Your perfect sizes" - Promotions and recommendations based on the customer's preferred size, e.g. XS, S, M, L.

03 3. How to use their preferred color?

Campaign: "Your favorite colors" - Promotions and recommendations based on the customer's preferred color, e.g. red, green, nude.

Example based on preferred color

Example based on preferred color

It is also worth taking care of e-commerce personalization (for example, the homepage together with the email campaigns). For instance, if a shopper has been browsing products in green, the email campaign references that color, and the homepage banner is adjusted to match their preferred color as well.

Example based on preferred color

Example based on preferred color

04 4. How to use their preferred occasion?

Campaign: "Your special moment" - Promotions and recommendations based on a preferred occasion, e.g. a wedding, a prom, a business meeting.

For example, you can carve out separate occasion-related categories in your e-commerce menu and, on the listing page, present coordinated products that form ready-made outfits for specific occasions.

Example based on occasion

05 5. How to use their preferred fabrics?

Campaign: "Fabrics you'll love" - Promotions and recommendations based on preferred fabrics, e.g. cotton, silk, linen, cashmere.

Take inspiration, too, from an e-commerce store that created a dedicated fabrics category in its menu and, based on fabric browsing history, recommends products across the store and in its newsletters:

Example based on preferred fabrics

06 6. How to use their preferred patterns?

Campaign: "Patterns that will enchant you" - Promotions and recommendations based on preferred patterns, e.g. stripes, florals, geometric.

Example based on preferred patterns

Example based on preferred patterns

07 Summary

The fashion industry is an environment made for personalization - you can turn every product attribute (style, size, color, occasion, fabric, pattern) into the axis of a separate campaign. The better you understand a customer's preferences, the more relevant the recommendations you can offer, and well-designed personalization translates into higher conversion and loyalty. Start with the data you already have, and test which attributes have the strongest influence on your customers' buying decisions.

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