Research Blog

One of our interns, Dylan Trenck - see the bottom of this post for his contact info - worked over the past few months on prototyping a proof-of-concept VIDEO advertisement prediction engine. Sporelogic views video interpretation and prediction as a natural extension, of our current capabilities - so getting to see Dylan investigate this space was super interesting for us. We have reformatted an internal paper he produced into a blog post, and want to share it with everyone.

Two minutes of AI beat days: a 3,000-person test lifted opens 22%/12%, driving $50k pipeline and $1k/week savings, $100k total from a $20 tool.

The Beginnings of Sporelogic Sporelogic began in 2024 as a small research outfit focused on language models. At that time, the behaviors of model outputs were not well understood. Many who followed the development of prompt engineering may remember when simply asking a model to “ please think harder ” was a groundbreaking discovery. Those early days were filled with excitement! Sporelogic viewed large language models (LLMs) as potential content engines. We believed they could

The Power of A/B Testing A/B testing is a powerful tool in digital marketing. It allows businesses to compare two versions of a webpage or content to see which one performs better. This method helps in optimizing click rates and improving user engagement. Using 32,487 A/B headline tests from the Upworthy Research Archive, we benchmark Horizon. Horizon is an ensemble of regression, clustering, and persona emulation models. These models predict which variant will yield the high