Digital

Data Science and Big Data for eCommerce and digital industries

PiperLab offers Big Data solutions for eCommerce and digital-environment companies, focused on improving their knowledge of users and how they interact in their platform. Advanced segmentation based on characteristics and behavior can lead to an improvement of customer loyalty. Sales can also be increased through product recommendation. You can even anticipate the purchase of new products and customers about to leave your website.

PROMINENT CLIENTS
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Did you know...

in eCommerce, sometimes users’ declared preferences don’t match with the purchases they make?

detecting users about to leave the basket can improve sales by 30%?

your behavior in social media helps customize netsurfing through an eCommerce, improving your user experience?

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Data about the Industry
More than 70% of the
16 million online users in Spain make an average of 2.4 purchases in eCommerce a month.
Big Data in 2017
was a priority, but it will become a necessity in 2018.
of purchases
in Spain happen in marketplaces.
Multi-channel sales
a bid for 70% of eCommerce platforms.
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Solutions
Attribution Modeling
In properly monitored digital environments, it is possible to trace user activity. When they are converted, it is also possible to trace back the way to that conversion. Attribution Modeling lets you determine how influenced was the user by each interaction between them and the different advertising channels during the way to conversion.
Modelos de atribución en big data
Client Profiling and Segmentation
A global vision of users/clients is critical to improve our knowledge. We integrate all data in the organization and enhance it with external data to detect behavioral patterns and advanced segmentation. Identifying variables from each business we can improve the classic profiling based only in static data.
Segmentación de usuarios de tu negocio
Content and Product Recommendation
A deep knowledge of users helps us know their needs or taste. This way we can suggest them what to buy and when. Recommendation models can be based in the purchase history of the user or in preferences of similar users. This achieves a double goal: improving sales and also user experience.
Recomendación de productos mediante big data
Disuse and Abandonment Anticipation
Based on historical information about which kind of users or which factors influence the user behavior when they decrease their purchase or even stop them, we can anticipate to this situation trying to minimize its effects, i.e. releasing retention campaigns for users with higher chance of abandonment. We are also able to identify the reason for abandonment, therefore campaigns are always oriented.
Anticipación de abandono de producto con big data
Dynamic Pricing
Whenever sales processes involve limited offers, adapting prices to demand estimates and availability evolution can optimize benefits, sales volumes and client loyalty.
Pricing dinámico con big data
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Data we use
Icono Digital Ecommerce
CRM
Information from the user profile and the change history log help us segment and model behavior groups.
Icono de movimientos transaccionales
Transactional
All information that comes from interaction of users within business operations.
Icono de datos y logs
Tag Managers/Web Platform Logs
All online activity of users, from web accesses to each element they have seen or clicked on. If this tools are properly configured, they can trace the customer journey through conversion.
Icono de redes sociales
Social Media
We use information from Social Media to improve the relationship with the client, optimizing and accelerating processes such as investment in digital marketing.
Icono Open Data
Open data
We use information from several public organizations, such as INE (National Statistics Agency), open-data government portals and others, that enhance the client vision and assess economic tendencies.
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Quotes
Foto de Gonzalo Herranz, Director de Escrapalia
We are still amazed with the implementation of GoldEngage in Escrapalia. Now we can send customized suggestions to each of our users based on their history of interactions in our platform.
Gonzalo Herranz
CFO and co-founder
Foto de Carmen Navarro, Direcotra de Comunicación en StubHub
As hard as a project might look, PiperLab manages to give life and form to data in a fast and efficient way. Also, they have a team of decisive and easy-going professionals. In short, they exceeded any expectation. Totally recommended!
Carmen Navarro
Head of communication Europe en StubHub
Miguel Almeida
We have quite an advanced and modern concept that requires powerful development. PiperLab team is an expert on best practices and technologies related to data so, on top of how close and easy-going they are, they also give excellent results
Miguel Almeida
Managing Director of Phonr