Interested brands sign up on the Hazina platform indicating their relevant product categories, geographical coverage and other relevant sign-up details. After signing-up, a brand creates a sampling campaign, indicating the specific objectives for that campaign such as generating public product reviews or getting detailed personalized product feedback. The brand also selects the target demographics, location, interests, behaviours, and social engagement for the intended consumers. Upon creation of the campaign, the Hazina engine will match pre-profiled consumers with the campaign based on the objectives and target audience specified by the brand. After matching, an individual can then opt in to receive that product sample by fulfilling the preset conditions such as a short survey, or a video.
Consumers can be matched with up to 7 campaigns in a month and will receive all their aggregated samples in a box, once in a month. After receiving samples, consumers get notified to provide further feedback on the product(s) received. Behind the scenes, Hazina gathers qualitative and quantitative insights, as well as measures and tracks ROI based on actionable data, which is then provided back to brands. Brands can then use these insights to acquire new customers, retarget existing customers , promote product marketing and improve products.
In the immediate future, Hazina would use these insights to build a strong product recommendation engine for launching its own grocery e-commerce platform or offering it as an API for e-commerce businesses.