Vision blogs

Selfie with a crowd of people framed by artificial intelligence
Vision blogs

Efficiency vs eyeballs: should marketers have to choose?

“Half the money I spend on advertising is wasted. The trouble is, I don’t know which half.” Some marketing tactics aim at maximizing the number of eyeballs seeing your message: TV ads, volume-based display advertising, batch-and-blast email marketing. These tactics offer reach without efficiency. This is Wanamaker-style marketing: you engage many people, but most of […]

/ July 23, 2020
Vision blogs

How we tamed our multi-tenancy model in less than a week

Multi-tenant data configuration management can be tricky. What if you treated it the way you treat code? Tinyclues processes large heterogeneous datasets (first-party customer data from large B2C companies) with advanced machine-learning algorithms (deep learning prediction of customer behavior) to offer a user-friendly SaaS solution where marketers can build and scale intelligent campaign plans. Thanks to […]

/ July 1, 2020
5 design principles for antifragile predictive systems
Vision blogs

5 design principles for antifragile predictive systems

On Kaggle, you can win by blending the machine-learning algorithms with the best raw performance metrics. In real life, this approach rarely works. A common mistake of inexperienced data scientists is to believe that machine learning is the only science they need to build successful predictive systems. Machine-learning textbooks usually focus on individual algorithms that […]

/ June 25, 2020
Vision blogs

Scaling customer marketing

Customer marketing is stuck between unsustainable mass campaigns and unscalable automated triggers. But there is a path forward. This article inaugurates Tinyclues Vision Blogs, a series by the Tinyclues team on the vision, science, and technology behind our clients’ successes. 1. The magic is broken Any sufficiently advanced technology is indistinguishable from magic. Judging by Arthur […]

/ June 17, 2020