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Bid adjustments along demographic parameters in future mom's clothing advertising: A/B test results

The online clothing store Wildberries wanted to test a hypothesis: would setting bid adjustments for demographic characteristics have an effect of the performance of ads for goods for pregnant women in the Yandex Advertising Network? They decided to create two campaigns: one with positive bid adjustments for women in the typical age range and a control campaign without bid adjustments. The campaigns appeared for an hour at a time, one after another, over a four-week period. Compared to the control campaign, the campaign with bid adjustments was more likely to end with the user making a purchase. Although it cost 24% more to attract one order via the pilot campaign, it also resulted in twice as many orders placed.
Клиент
Internet store specializing in fashionable clothing, shoes and accessories Wildberries, wildberries.ru
В цифрах
2004 Company founded, 3500 Brands on website
Представитель
Sergei Yakovlev, Senior Specialist, Marketing Division

Goal

Evaluate the effectiveness of bid corrections when advertising goods for pregnant women to a demographically diverse audience

Tool used:

  • Yandex.Direct (YAN)

Period: Four weeks

Setting correct goals

Items generally considered to have a niche audience, such as maternity clothes, can be purchased as gifts by users outside the boundaries of the primary target audience. These users comprise an audience of both genders and varied age groups.

When someone searches for this type of clothing in Search, it’s clear what they are looking for, making it unnecessary to segment this audience by socio-demographic characteristics.

In the Yandex Advertising Network, however, ads are displayed according to the content of the site or the interests of the user.

Sergei Yakovlev
Senior Specialist, Marketing Division
Therefore we decided to set up an experiment: distribute impressions in the Yandex Advertising Network so that the majority reach women of relevant age.

Step 1. Run A/B testing in two campaigns: with and without bid adjustments by gender and age

You can make corrections in the Bid Adjustments block on either the ad group editing or the campaign parameters page.

Setting up two campaigns for A/B testing

Two campaigns were set up with identical texts and designs and the same starting bid on content sites.

One campaign ran without bid adjustments, while the other had the following coefficients for age and gender:

  • W, 18-24: +100%
  • W, 25-34: +100%
  • M, all ages: –50%
  • W, 45+: –50%

The campaigns ran one at a time for four weeks, switching every hour.

These bid settings increased the likelihood that women of relevant age would see the store’s ads on sites in Yandex Advertising Network.

Conversely, lower bids were set for ads targeted towards men and were shown much less frequently as a result of the negative adjustments.

Step 2. Compare key performance indicators

One of expected statistics' changes was a higher CPC and a lower click-through rate. This makes sense, however, with a higher bids ads got more impressions, so more women of the target age group saw the ads. Obviously, not all of them had a “hot” interest for maternity clothes.
CTR
CPC
The end goal was reached: the campaign with bid corrections led to conversions more frequently. Even though these conversions cost more (since the main share of clicks were at a higher rate), the increase in orders covered the additional expense
CR
CPO

Results

In the end, the campaign with adjustments for socio-demographic characteristics was more successful according to the most important indicator: it brought in almost twice as many orders as the campaign without adjustments.
Bid adjustments along demographic parameters in future mom's clothing advertising: A/B test results
Bid adjustments along demographic parameters in future mom's clothing advertising: A/B test results
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