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Owning a comprehensive view of customers remains the domain of only the biggest retailers. But even in large enterprises multi-channel and multi-brand data is often stored in silos and different formats.

Collaboration between retailers promises access to a broader understanding, but until now sharing consumer data has exposed retailers to commercial risk thus deterring potentially competitive companies to learn together. GDPR consent regulations make retailers even more wary. InfoSum's solution facilitates trust.

View Retail Use Cases »

Collaborating to thrive

To compete with Amazon, retailers are coming to a new realisation; collaboration is key. Whether it’s product, infrastructure or utilising store space, retailers are working together to gain competitive advantage.

Our campaign Shaping Insight Together, in partnership with Retail Week, investigates how data collaboration can help retailers to thrive in a challenging market.

Secure and compliant data sharing for retailers


Securely connects data silos and automatically standardised data formats.

Instant insights

Simple, fast and easy to use solution that opens up limitless profiling opportunities.

Retain ownership

Data is never moved and at all times remains in control of the retailer.

Respect privacy

Only aggregated and anonymised insights are shared.

GDPR compliant

No further customer consent is required for profiling activity.

Software as a Service

InfoSum doesn’t process retailer’s data, only provides technology platform.

Retail use cases

Extend customer knowledge

  • Explore your own siloed data sets to understand behaviour across channels or brands.
  • Use second party data to understand customers more holistically and offer new product and services.
  • Profile anonymous customers against third party datasets using any personal data points.

Identify commercial opportunities

  • Find best commercial partners for joint promotional offers, ensuring customer appeal.
  • Help franchise operations work safely together, keeping datas but providing a consolidated benchmark.
  • Validate supplier proposals by understanding impact on existing lines.

Evaluate media and data sets

  • Establish attributes of your best customers so you can target digital ads at appropriate groups.
  • Check the relevance of data lists or addressable media by understanding the overlap with your existing base.
  • Find lookalike customers by comparing datasets and finding new customers with similar characteristics.

Measure campaign effectiveness

  • Validate campaign conversion by bringing together media and transactional data.
  • Understand multi-channel purchasing journeys based on digital views and subsequent offline purchase.
  • Compare purchasers with addressable media datasets to establish impact.

Take advantage of industry data exchange

InfoSum removes the barriers to collaboration, so competitors in the same industry can work together.

Sharing sales data at a more granular level than transactional data enables retailers to benchmark their performance against others.

This could be by looking at spend at a category level or store format; understanding the impact across retailers of pricing and promotional strategies or tracking cross-shopping behaviours of individuals - whatever the payment method.