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How Yandex.Audience helps customer loyalty programs in the fashion industry

Customer loyalty is especially important in the fashion industry, since customers often choose the store first, and then make purchases. After creating Yandex.Audience segments of their own customers with at least 500 points in their loyalty program, Pompa began using the “Weekly budget: maximum conversion rate” automatic strategy with optimization for the “order placed” conversion. These changes brought 10% more orders after one month (compared to the generic campaign as a whole), with larger average check size and lower SOS — 14% compared to the account’s 17% average.
Pompa
Case results
14%
14%
SOS compared to 17% avg. SOS for generic campaigns
24000 ₽
24000 ₽
average check size 11% higher than the account average
10%
10%
more orders compared to the overall number of orders for non-branded campaigns
0.55%
0.55%
CR 2.1X higher than the average CR for generic traffic
Client
Clothing producer and seller POMPA, pompa.ru
Facts & figures
1994 company founded, 60 branded stores, 45 cities
Representative
Ivan Semenukha Ecommerce director

Goals

Tools used

  • Yandex.Audience
  • Yandex.Direct / YAN
  • Yandex.Metrica

Period: February 2019 (4 weeks)

Stimulating repeat orders and building relationships with customers of an online clothing store

In retail, the most important factor in purchase decisions is usually price: at first, users are typically ready to buy from any store, and they use price as a guide. In the fashion world, users usually pick a store first, and then make their purchase, so it is important to focus on increasing the audience’s loyalty.

Keep in mind that users take a long time to choose clothing — they add lots of items to their carts, think over their lists and compare prices. Purchases are not usually spontaneous — there should be several “encounters” before a conversion happens. This is obvious in the “Main conversion paths” and “Associated conversions” reports. Bringing users back to your site is possible with trigger mailings as well as retargeting with various scenarios. Yandex.Audience makes it easy to reach out to regular customers.

Step 1. YAN campaigns for their own customer segment

YAN campaigns for user segments with the most points

First, they launched campaigns in YAN for their unsegmented base of customer email addresses and phone numbers. They created retargeting lists based on their own Yandex.Audience segments.
 
They then segmented their customer base according to the number of bonus points saved up in the loyalty program, and prioritized impressions for those users who had a lot of them.

Outerwear-related ads appeared to users with loyalty points and high average check sizes

The texts focused users’ attention on the possibility to use the points they had accumulated in tandem with seasonal discounts and promotions.

They paid careful attention to the quality of their creatives: they used both Text & Image ads with static pictures as well as several formats of Image ads that showed new products and popular models.

Impressions on both desktop and mobile devices

Their campaign features several Image ad formats that showed off new products and popular models. This allowed for broad coverage of desktop and mobile audiences.

Step 2. Switch to automatic strategy

Tested automatic strategy to optimize CPO and the number of conversions

In the first months after launching, the campaign with their own segments brought transactions with relatively high CPO.

In February, they decided to test the Weekly Budget strategy set for “maximum conversions by goal: Order placed.” The strategy showed ads to users whose sessions most often ended with conversions for the goal “Order placed.” This increased the number of target sessions on the site and help decrease CPO to the average level for unbranded traffic.

Results

10% more orders compare to overall number of orders for generic traffic

The campaign’s CPO for February 2019 reached the average CPO for generic traffic, but with a Share of ad spend of 14% (3% lower than the average figure for generic traffic in the same period). The average check size for the campaign was roughly 24000 RUB —11% higher than the account average. The conversion rate was 0.55% — 2.1X higher than the average CR for generic traffic.
Ivan Semanukha
Ivan Semanukha
Ecommerce director, Pompa
As practice has shown, the cost of attracting a new customer is much higher than the cost of stimulating a repeat purchase from an existing one. To improve the performance of ad campaigns for existing customers and subscribers, you need to test segments. In our case, segmentation based on the number of loyalty points accumulated showed positive results.
Yulia Markova
Yulia Markova
Senior specialist, Realweb
Working with audiences and personalizing ads play a very important role in promoting the fashion-related projects. In an era with too little time and too much information, users expect companies trying to make sales to anticipate their needs. The most effective loyalty programs are built on this desire of the customer: to feel special. The trend towards personalized advertising motivated the development of tools like dynamic retargeting, trigger mailing and recommendation algorithms. Yandex.Audience is another means of moving towards the customer. Combining segments from different systems (CRM, DMP, Yandex.Metrica), a wide range of opportunities open up to create complex and more precise Yandex.Audience user segments to whom you can address your ads, and thereby increase the effectiveness of advertising placements significantly.
How Yandex.Audience improved customer loyalty programs in the fashion industry
How Yandex.Audience improved customer loyalty programs in the fashion industry
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Case prepared in collaboration with RealWeb

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