Take a look at how Dixons Carphone is delivering AI recommendations with added flexibility.
[Slides from Syntasa’s 4.0 Launch and Learn event in London]
Explore how The Telegraph is utilizing AI assisted subscription science.
[Slides from Syntasa’s 4.0 Launch and Learn event in London]
Discover the 3 levels of personalization and how successful brands are winning over customers with AI/ML-powered recommendations.
Hear from NOW TV’s Senior Product Owner for Digital on how they’re enabling clickstream data in their data lake and achieving enormous efficiencies and scalability.
In this case study, read how algorithmic models have improved reach and conversion rates for an electronics company’s retargeting campaigns.
In this case study, read how NOW TV is connecting digital and offline data sources to better understand customers and deliver a superior customer experience.
Most advancement offices are still bridging critical data gaps by hand — costing staff time, data quality, and donor relationships. This paper maps a five-stage journey from fragmented systems to AI-empowered fundraising, helping higher education teams identify where they stand today and what the path forward looks like.
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.
