In the fast-paced, ever-evolving energy drink market, a leading energy drink brand, looked to maximize the impact of its sponsorship and advertising campaigns by leveraging cutting-edge technology. Utilizing advanced logo-recognition AI and sophisticated analytics algorithms, the brand took a comprehensive approach to understand and measure their brand exposure across thousands of social media accounts from creators, influencers and media they were collaborating with.
The primary goal was to
The insights obtained were to be leveraged to calculate the ROI and refine their marketing strategies.
The Energy Drink collaborated with MediaCatch to build an advanced custom logo-recognition software and combined it with age and gender detections and speech-to-text in many languages. The technology was trained on thousands of images and videos to identify the logo and objects in various sizes, angles, lightings, and environments.
Once the logo and object was detected, the software examined the video or image context to determine the event location, using a combination of background details and meta-data. Simultaneously, a separate module analyzed the quality of logo placement based on visibility, size, and position.
Once persons and voices in the content was detected relevant metadata like topics, age and gender was extracted from the content to identify trends, possibilities and possible challenges.
Further, MediaCatch also exploited other meta-data available on social media like likes, shares, comments, reach, and the influencers’ or posters’ follower counts, for a complete understanding of the exposure the brand received.
A critical part of Energy Drink’s strategy was integrating the data and insights generated by the logo recognition software into their existing data warehouse. They aimed to bring together disparate data sources to have a unified, holistic view of their brand performance across various platforms and initiatives.
To achieve this, MediaCatch developed a seamless data pipeline that would systematically extract, transform, and load the data generated from the logo-recognition software into Energy Drink’s data warehouse.
The data - which included key parameters like logo placement details, event associations, exposure metrics, and social media meta-data - was transformed into a format compatible with Energy Drink’s existing data warehouse. This ensured that data from different sources could be utilized in conjunction with each other, eliminating data silos and enabling cross-referencing.
The deployment of the logo and object recognition technology presents Energy Drink with an unprecedented level of insight into their logo exposure, placements, topics and people:
By leveraging advanced logo-recognition technology, Energy Drink has successfully revolutionized the way they measure, track, and optimize their brand exposure. The brand is now equipped with a data-driven strategy that allows them to maximize their ROI and stay ahead in the competitive energy drink market. As a result, Energy Drink is well-positioned to continue its growth trajectory, fueled by effective event sponsorships and strategic brand placements among influencers.
Or contact Lars Damgaard Nielsen to get more information
Then reach out and one of our skilled consultants will evaluate if your problem is solvable through AI. If yes, we can make sure to find the right AI solution that will super power the needs of your business.