Data Impact
Data Impact is an omnichannel analytics platform for FMCG brands.
| Date | Investors | Amount | Round |
|---|---|---|---|
| investor investor | €0.0 | round | |
N/A | Acquisition | ||
| Total Funding | 000k | ||
| EUR | 2015 | 2020 |
|---|---|---|
| Revenues | 0000 | 0000 |
| EBITDA | 0000 | 0000 |
| % EBITDA margin | (1326 %) | (81 %) |
| Profit | 0000 | 0000 |
| % profit margin | (1228 %) | (70 %) |
| EV | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 |
Source: Company filings or news article
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DataImpact, acquired by NielsenIQ on October 1, 2021, operates in the e-commerce analytics market, providing advanced data solutions to help businesses optimize their online performance. The company serves a wide range of clients, including retailers, manufacturers, and brands, who require detailed insights into their market share, sales performance, and competitive landscape. DataImpact's core product is a comprehensive analytics platform that offers high-frequency data collection, automated categorization, and precise market share analysis. This platform enables clients to benchmark their performance against competitors, understand key performance indicators (KPIs), and make data-driven decisions to enhance their market positioning.
DataImpact's business model revolves around subscription-based services, where clients pay for access to the analytics platform and its various features. The company generates revenue through these subscriptions, which are typically structured as long-term contracts. Additionally, DataImpact offers customized data solutions and consulting services, providing clients with tailored insights and strategies to improve their e-commerce performance.
The company operates in a highly competitive market, with a focus on delivering accurate, reliable, and actionable data. By leveraging advanced algorithms and machine learning, DataImpact ensures that its clients receive the most precise and up-to-date information available. The company's commitment to data security and confidentiality is evident through its stringent measures to protect client information and comply with data protection regulations.
Keywords: e-commerce analytics, market share insights, KPI tracking, automated categorization, data-driven decisions, subscription-based services, competitive benchmarking, data security, machine learning, consulting services.