Fairing
Attribution analytics platform illuminating marketing impact through customer feedback and proprietary data enrichment.
| USD | 2023 |
|---|---|
| Revenues | 0000 |
| EBITDA | 0000 |
| Profit | 0000 |
| EV | 0000 |
| EV / revenue | 00.0x |
| EV / EBITDA | 00.0x |
| R&D budget | 0000 |
Source: Dealroom estimates
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Fairing is a data analytics startup that specializes in helping eCommerce businesses understand their customers better. The company operates in the digital marketing and eCommerce sectors, providing tools that allow online stores to gather and analyze customer data. Fairing's primary clients are eCommerce businesses using platforms like BigCommerce, Magento, and WooCommerce, but its services can extend to any product or service with high transaction volumes.
Fairing offers a unique solution to a common problem in digital marketing: the difficulty of attributing sales to specific marketing efforts. This issue, often referred to as an "attribution black hole," makes it hard for businesses to understand which marketing channels are most effective. Fairing addresses this by providing a question analytics dashboard that collects customer feedback and other data points. This dashboard acts as a "source of truth" for marketing endeavors, helping businesses allocate their budgets more effectively.
The business model of Fairing revolves around a software-as-a-service (SaaS) approach. Clients subscribe to Fairing's platform, paying a recurring fee to access its data analytics tools. The company makes money through these subscription fees, which can vary based on the level of service and customization required by the client.
Fairing's platform is designed to be easy to integrate, offering both one-click installations and custom integrations. This flexibility allows businesses of all sizes to start building their proprietary datasets quickly. The data collected can enrich privacy-focused analytics, providing deeper insights into customer behavior and marketing performance.
In summary, Fairing helps eCommerce businesses make data-driven decisions by illuminating the often murky waters of marketing attribution. Its tools provide actionable insights that can lead to more effective marketing strategies and better allocation of resources.
Keywords: eCommerce, data analytics, marketing attribution, customer feedback, SaaS, BigCommerce, Magento, WooCommerce, digital marketing, proprietary datasets.