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- Family photo, social media platform Tinybeans has announced the rollout of a machine learning for its network’s data analysis
- The analysis will provide anonymous insights to potential advertising clients, with one already secured in a pilot test
- Over 200 million profile elements exist and the company asserts total privacy of individual information.
Tinybeans has announced today the rollout of machine learning techniques for data aggregation on their platform, prompting a 3.45 per cent jump in the market.
The data analysis of over 200 million profile elements will give insight into user behaviour, consumer choices and brand affinities.
The family-friendly social media company asserted that raw versions of the data will remain private and to never be shared outside of the company, providing clients with only anonymous versions of the data.
Tinybeans’ platform operates a family-oriented social media platform for photo albums.
The company has already secured an unnamed US client for the data analysis pilot test, concerning purchases of confectionary, food and beverages. This analysis was described as ‘powerful.’
Company CEO Eddie Geller expressed great excitement towards analysing the platform’s data for unique insights.
“This will not only allow us to service more brands but also offer strategic value beyond traditional advertising partnerships,” Eddie said.
“Brands can use this new capability to plan future product development and go-to-market strategy as it allows them to learn about what’s really happening within households – from favourite brands to consumption habits and patterns,” Eddie said.
The company stated this augmentation of data will guide for a stronger financial year in 2020.
Today’s news follows Tinybeans’ recent success in inking their biggest deal yet with toy-giant Lego. The deal gave way to advertising Lego’s Duplo products on the app, targeting US toddlers and pre-schoolers.
