How Improvado helped a personal styling platform to aggregate and process raw data

Key challenge: Our client was working with a multitude of marketing channels to promote their products to a broad audience of fashion enthusiasts, yet they lacked the raw data to analyze the efficiency of their efforts.

Result after working with Improvado: We designed efficient ways of collecting raw granular data from a multitude of sources empowering the company’s own data analytics solution and giving our client the ability to make effective data-driven marketing decisions.

Aggregation of data

Improvado cooperated with an American personal styling service that uses a mix of expert stylists and technology to handpick apparel or active gear to suit your budget, size, and style. This platform distributes its products to a broad audience, both men and women. As per the specifications of the niche, our client was working with a wide selection of social media platforms that, when combined, had quickly outgrown the platform’s ability for aggregation and processing of raw data.

Key challenges

1. Our client needed to gather and analyze data from multiple sources and a plethora of local social media channels.
2. Given the nature of the brand, the customer relied heavily on various visuals in their marketing campaigns which led to new media sources being added to their marketing efforts.
3. The client had an efficient analytical solution in place, but they lacked the raw, granular data to feed it.

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1. We relied on Impovado’s integrations and the development of new channels for collecting various data including user performance, session usage, load balancing details, and much more.
2. Our platform was capable of aggregating data from the necessary sources and converting it into raw granular tables the client could then effortlessly feed to their analytics tools.

Our solutions came with the added benefits of:

• Data aggregation from additional marketing channels.
• A great balance of value to pricing policies.
• The ability to save up to 100 hours of data analysis and engineering resources on a weekly basis.

After the initial phase of our project, our client’s team had access to a continuous source of raw, granular marketing data. Access to information from additional sources has strengthened their marketing campaigns and turned their unstructured data into revenue-boosting insights.