Use case
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Unlock online marketing optimization

Connect millions of different data points across multiple marketing campaigns in one dashboard to effortlessly optimize for ROAS, retention rates and overall customer LTV.

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Remove the guesswork and consistently increase ROAS from digital campaigns.
Help analysts focus on the overall strategy, rather than wasting time on manual optimizations.
Reduce the overall budget and obtain the same results with cross-channel optimization.
Remove the guesswork and consistently increase ROAS from digital campaigns.
Help analysts focus on the overall strategy, rather than wasting time on manual optimizations.
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Online marketing optimization for e-commerce.

Challenge

As one of the largest e-commerce marketplaces in LATAM, our client is one of the biggest spenders in Google SSC, DSA and Adwords.

They have multiple teams of marketing analysts that plan, create and operate campaigns all over LATAM.

Each team is composed of several analysts, who individually operate a subset of campaigns relying solely on their personal past experience. The lack of cross-team best practices and strategies leads to suboptimal local solutions.

Solution

We worked together with the Marketing Science team in tackling these operational complexities.

The solution was to develop a fully automated Machine Learning system that explored and exploited all the available data to achieve robust optimization across all campaigns.

Daily predictions, constraints set by the marketing team (budget, price variation, etc) and cross-campaign information are used to suggest several possible budget and campaign configurations optimized to deliver more revenue for their business.

Additionally, we implemented scheduled updates to facilitate decision-making and ensure everyone was kept in the loop.
Results
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Results
The developed system helps account managers make informed campaign decisions to efficiently assign budgets of hundreds of thousands of dollars across hundreds of different campaigns.

By implementing this solution, the client was able to reduce costs by over 10%, while maintaining their target ROI and GMV, and even increasing GMV by more than 10% in specific campaigns.

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