Affle
Financials
Estimates*
INR | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 |
---|---|---|---|---|---|---|---|
Revenues | 3.3b | 5.2b | 10.8b | 14.3b | 18.4b | 22.5b | 27.5b |
% growth | 34 % | 55 % | 109 % | 33 % | 29 % | 22 % | 22 % |
EBITDA | 940m | 1.3b | 2.1b | 2.9b | 3.6b | 4.7b | 5.9b |
% EBITDA margin | 28 % | 25 % | 20 % | 20 % | 20 % | 21 % | 22 % |
Profit | 655m | 1.3b | 2.1b | 2.4b | 3.0b | 3.8b | 4.8b |
% profit margin | 20 % | 26 % | 20 % | 17 % | 16 % | 17 % | 17 % |
EV / revenue | 7.5x | 27.0x | 15.1x | 8.8x | 7.3x | 9.6x | 7.7x |
EV / EBITDA | 26.6x | 107.6x | 76.7x | 43.8x | 37.6x | 45.9x | 35.7x |
Date | Investors | Amount | Round |
---|---|---|---|
$2.0m | Series A | ||
N/A | Series B | ||
N/A | Series B | ||
N/A | N/A | Series B | |
N/A | $10.0m | Early VC | |
N/A | N/A | IPO | |
N/A | $80.8m | Private Placement VC | |
Total Funding | €84.4m |
Recent News about Affle
EditAffle is a global technology company specializing in consumer intelligence and mobile advertising. The company operates a proprietary platform that leverages deep learning and AI-powered algorithms to transform ads into personalized consumer recommendations. Affle serves marketers and businesses looking to enhance consumer engagement, acquisitions, and transactions through relevant mobile advertising. The company operates in the digital advertising market, focusing on delivering high-impact technology solutions at scale. Affle's business model revolves around providing platform-led solutions that help marketers identify, acquire, engage, re-engage, and transact with their most valuable users. Revenue is generated through the deployment of these advertising solutions, which are designed to maximize return on investment (ROI) and consumer engagement. Affle holds a strong intellectual property portfolio with 20 patents, including 6 granted in the U.S., and has reached over 2.4 billion connected devices globally. The company is committed to ethical advertising and upholds stringent industry standards.
Keywords: consumer intelligence, mobile advertising, AI algorithms, deep learning, consumer engagement, digital transformation, personalized recommendations, ROI, ethical advertising, intellectual property.