Attribution of media spend is a common problem shared by people in many different roles and industries. Many of the solutions that are simplest and easiest to implement don’t drive the right behavior. Tushar Mukherjee (Head of Ecommerce Analytics at Lenovo) shares practical lessons learned developing and applying multivariate attribution models at Lenovo.
[Recording from Strata Data Conference 2019]
In the latest instalment of the FinML meet-up we welcomed Apoorv Kashyap and Charmee Patel to discuss how to use digital behavioural data in ML-applications.
[Recording from FinML meet-up]
The state of the art in productionizing machine Learning models today primarily addresses building RESTful APIs. In the Digital Ecosystem, RESTful APIs are a necessary, but not sufficient, part of the complete solution for productionizing ML models.
[Recording from Spark + AI Summit 2019 Europe]
The California Office of Digital Innovation (ODI) supported the state’s COVID vaccine response with analytics that estimated vaccine hesitancy and guided the advertising strategy and allocation of the vaccine.
To understand your audience, it’s vital to have a complete view of the entire customer journey. However, when an organization fails to integrate all of its data, it’s robbing itself of the knowledge needed to achieve this and be successful digital marketers.
[Recording from Adobe Summit 2017]
Striking the balance between digital optimisation with siloed context and unleashing the powers of blended CRM and wider enterprise data can be a nightmare. Enter the ‘buy vs. build’ decisions to avoid black box 3rd party solutions.
[Recording from Adobe Summit 2018]
Learn how Syntasa helps marketers and analysts build and activate behavioral audience segments at scale—no coding required. See how smarter segmentation drives better results.
The World Bank partnered with Syntasa and Google Cloud to automate how it tracks and analyzes global FinTech innovation. Using Syntasa’s Sentiment Analytics Solution, the team replaced manual research with AI-powered pipelines, real-time dashboards, and multilingual sentiment analysis—all within a secure, private cloud environment.
A leading global electronics company partnered with Syntasa to replace rigid, rules-based retargeting with dynamic AI-powered audience segmentation. By implementing Syntasa’s Composable CDP, the company doubled conversion rates, cut ad spend by 42%, and expanded audience reach 9X—all without disrupting its existing MarTech stack.
A global electronics retailer partnered with Syntasa to streamline and automate the ingestion of complex data schemas into Adobe Experience Platform (AEP). By leveraging Syntasa’s Data Ready for CDPs solution, the team drastically cut schema creation time from days to under 30 minutes while enhancing data quality, reducing errors, and accelerating CDP deployment.
A leading streaming service with millions of users needed a better way to predict churn and personalize the viewer experience. Their customer data was fragmented across web, video, and subscription platforms—making it hard to act on user behavior in real time. Syntasa unified their data into a single customer view and applied AI to predict free trial cancellations with 93% accuracy on Day 1. With this insight, they launched targeted, in-the-moment messaging that converted more users and improved long-term engagement.
A global electronics retailer partnered with Syntasa to future-proof its digital marketing across North America, EMEA, and APAC. By deploying Syntasa’s Composable CDP, the company launched real-time in-session marketing, AI-powered personalization, and privacy-first data activation—resulting in over $180M in incremental revenue and a seamless, scalable customer experience.
