Sift
Providers of technical solutions covering content management, relationship management, community & collaboration and e-commerce..
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor investor investor | €0.0 | round |
| N/A | €0.0 | round | |
| N/A | €0.0 | round | |
| N/A | €0.0 | round | |
| investor investor investor investor | €0.0 | round | |
| N/A | €0.0 | round | |
* | N/A | $1.0m | Debt |
| Total Funding | 000k | ||
| EUR | 2015 | 2016 | 2017 | 2018 | 2020 | 2022 | 2023 |
|---|---|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | - | (45 %) | (15 %) | (12 %) | - | - | - |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % EBITDA margin | 8 % | 1 % | (7 %) | (1 %) | - | - | - |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % profit margin | 3 % | - | (14 %) | (8 %) | - | - | - |
| EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article, Dealroom estimates
Related Content
Sift operates at the intersection of mobile advertising and big data, utilizing advanced AI and machine learning algorithms to optimize app install ads for its clients. The company processes 50 billion mobile ad requests daily, enabling precise targeting and efficient ad placements. Sift serves some of the largest agencies, ad networks, and demand-side platforms, helping them run and scale campaigns across multiple geographies. The business model revolves around leveraging its proprietary technology to deliver high-performance ad campaigns, generating revenue through ad placements and performance-based fees. Sift's team comprises veterans from notable mobile adtech companies, ensuring deep industry expertise. The company fosters a dynamic work environment with a bias towards action, offering stock options to all employees and promoting a culture of collaboration and innovation.
Keywords: mobile advertising, AI, machine learning, app installs, ad targeting, big data, adtech, performance-based, scalable campaigns, industry veterans.