RTB House campaigns gave us excellent results in developing our advertising KPIs. We appreciated the flexibility in setting up audience segments and their continuous improvements to our technical setup, so that we didn’t have to worry about campaign administration. We noted great efficiency in communication, willingness to work according to our internal attribution system, and smooth integration processes with our third-party services.
Gavriil Drozdin
Senior Advertising Manager at KUPIVIP
more conversions
revenue growth
KUPIVIP needed a new marketing technology partner who could challenge their current retargeting setup. They had previously worked with retargeters, but had a difficulty to measure the full potential of the technology without running a multiple retargeting approach.
KUPIVIP hoped that by adding another retargeter, they could increase the volume of traffic and conversions without much overlap, and still operate within a set price per conversion. They also needed the strategy to work well in the CIS markets, controlling separate audience campaigns settings for In-App retargeting.
RTB House has extensive experience in improving retargeting performance of fashion e-commerce brands. Its unique Deep Learning technology differentiates our solution from other retargeting vendors.
This entails finding high-value potential buyers at the right time and sending tailored messages to each shopper, powered by highly accurate product recommendations.
To maximize the results, special promotional banners were launched for KUPIVIP’s unique flash sales category.
With campaigns enriched with Deep Learning algorithm, KUPIVIP achieved continuously improved results in the following ways:
= Conversions increased by 2x over a few months and continue to gradually rise
= Revenue grew by 37% at the time of reporting*
Having multiple retargeters improved channel efficiency by generating higher average order value (AOV), sales revenue, and exceeded performance KPIs that KUPIVIP initially set.
* The results are based on a comparison between periods: 09.2019 – 02.2020 and 03.2020 – 09.2020
