Netshoes case study
Netshoes Increases Campaign Sessions by 68% With Prospecting Solution
Leading Brazilian sports brand wins greater engagement with Deep Learning.
Greater user reach
Increase in the number of sessions
Of the Retargeting revenue came from users impacted by Prospecting
Period analyzed: January to March 2022 vs. 2023 - RTB House campaigns
About the client
Netshoes is a Brazilian ecommerce brand specializing in sporting goods and was founded in São Paulo in 2000. Today it is recognized Brazil-wide for the quality of its customer service, its forward-looking approach to technology, and its philanthropic initiatives. In 2019, Netshoes was acquired by Brazilian retailer Magazine Luiza.
What they say about us
“I am extremely pleased with the partnership between RTB House and Netshoes regarding our work on the Prospecting campaign. We were able to drive significant improvements in our results, delivering real impact on users qualified for our brand. This way we guaranteed the recovery of dormant users, the engagement of our base, and a deeper understanding of consumer behavior.”
Juliana Cristina dos Santos
Performance Marketing Coordinator at Netshoes
“RTB House’s deep learning-based technology and industry experience allowed us to bring qualified traffic to our website while achieving a balanced cost per session. By keeping the Prospecting campaign active throughout the year, we were able to support the Retargeting strategy, as well as other media efforts.”
Daniela Melo Evangelista
Marketing Analyst at Netshoes
Netshoes was seeking to bring additional traffic to its website and find users most likely to become high-value customers. They had been successfully partnering with RTB House since 2016 on a Retargeting campaign, but wanted also to maximize the amount of high-quality traffic to the website in a cost-efficient manner. They decided to invite RTB House to expand their partnership with a Prospecting campaign designed specifically to deliver the above mentioned KPIs.
RTB House worked closely with Netshoes to build the Prospecting campaign using highly engaging creatives, industry expertise, and insights on the behavior of the target audience. Immediately upon launch, Deep Learning-powered algorithms were able to recognize user intent and, together with the user engagement optimization model, ensured that the prospecting campaign reached users that would engage (and potentially become new customers) by showing them the most relevant ads at the right time. As the technology continuously learned and improved, the campaign scaled as it ran, ramping up high-quality traffic to the Netshoes website.
Within one year of the Prospecting campaign running, Netshoes grew user reach by two times and achieved a 68% increase in the number of sessions, while the cost per session decreased by 39%. Furthermore 25% of the Retargeting campaign revenue came from users impacted by Prospecting. Overall, Netshoes has increased its competitiveness, and positioned the business for future growth and success.
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