Branding, advertising and promotions are an important part of the modern brand marketing strategy. To reach out to the maximum number of prospective customers, a brand’s marketing department engages in several tactics and campaigns.
One of the most promising marketing tactics is sponsorship marketing where brands sponsor sporting events and leagues for enhanced visibility.
Brands sponsor a team, venue or the whole event in order to get advertising spots on the team’s jerseys/uniforms, accessories, grounds/courts, etc.
Sponsorship marketing is a booming phenomenon. Often businesses fail to get quantitative data on brand visibility despite spending millions of dollars to get sponsorship rights.
Delivery
Insightful Statistics
Interactive Charts
Visualization
Visibility Score
Detailed Graphs
The client is a US based company offering interactive advertising solutions as a part of its brand marketing strategy
Azilen has identified the need for an intelligent analytics solution that could help businesses to gauge the efficacy of sponsorship marketing campaign by checking the visibility of their brand across various mediums.
Azilen has leveraged deep learning methodology to develop an automated brand logo detection platform that caters to the demand for quantifying brand exposure.
Harnessing the advancements in the field of computer vision, our enterprising team developed a Convolutional Neural Network (YOLO V3) model for object detection.
Large-scale public and sporting events attract huge crowd providing businesses with the power to bolster brand visibility and discovery. But without a system to evaluate brand exposure, sometimes, businesses fail to get the maximum return out of their investment in acquiring sponsorships rights.
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