Hear from a business performance leader at Dixons Carphone, on how they’re using Syntasa to architect customer data and deliver personalized bundles on their websites.
Hear from a data scientist at Dixons Carphone, on how they’re personalizing product recommendations and increasing add to basket rates on their websites.
In this case study, read how Dixons Carphone automates and productionizes recommendation models using Syntasa.
In this case study, discover how Syntasa’s platform is enabling data scientists at a global airline to automatically ingest behavioral data and build propensity models.
Digital behavior isn’t like the other data that you’re used to. Its scale and complexity sink most projects. Learn how to keep your behavioral data pipelines afloat.
A global sportswear brand consolidates digital activity data across countries and platforms, enabling analysts provide a complete picture of their visitors’ journeys.
Advancement teams are sitting on valuable donor, alumni, engagement, and digital interaction data, but much of it remains disconnected across systems. This guide explores how modern institutions can unify data, identify donor signals earlier, and use AI to create more personalized fundraising experiences. Learn how solutions like DonorAI help advancement teams turn fragmented data into actionable donor insights.
A global retail leader partnered with Syntasa to unify customer data across four channels : in-store transactions, loyalty-card interactions, app sessions, and web browsing into a single, governed foundation that marketing, eCommerce, data engineering, and data science teams could all work from.
Syntasa transformed the retailer’s transaction data into a structured basket-level dataset while unifying behavioural, transactional, and interaction data into a single customer view. Together, these created a shared source of truth that eliminated repeated preparation work, improved consistency across teams, and made trusted customer intelligence available across the organisation.
The unified foundation enabled sharper segmentation built on actual behaviour rather than broad demographics, surfaced bundling and cross-sell opportunities directly from basket composition, and gave data science teams a reliable base for affinity modelling, LTV prediction, propensity scoring, and churn analysis, ultimately producing one shared source of truth that closed the gap between customer signal and commercial action.
This is how WSP used AI-powered sentiment analytics to analyze 1,400+ community responses and shape Palm Beach County’s transportation plan.
A global cybersecurity company protecting hundreds of millions of users deployed Syntasa’s real-time intent scoring to personalize
experiences at the moment of decision. This drove measurable conversion uplift while protecting margin where it matters most.
Learn how AHCCCS partnered with Syntasa and Google Cloud to build an AI-powered opioid treatment locator that helps Arizonans find care.
Syntasa’s Customer Audience Agent lets teams build behavioural audiences in minutes using AI and natural language. It validates against live data, respects governance controls, and delivers activation-ready audiences without technical delays.
