VDO.AI
 | |
| Industry | Advertising Services |
|---|---|
| Founded | 2018 |
| Founder |
|
| Headquarters | Flemington, New Jersey |
| Website | vdo |
VDO.AI is a global video advertising platform that is focused on accelerating user engagement. The company helps advertisers drive omnichannel customer journeys through meaningful engagement and assist publishers in unlocking new revenue streams to maximize monetization. VDO.AI enables them to capitalize on the immense potential video ads hold by offering data-driven ad solutions that drive engagement-driven experiences. Its AI-powered technological advancements are built to cater to the requirements of advertisers and publishers who are finding ways to thrive in the competitive environment.[1][2]
The company works on cutting-edge technologies to create ad experiences that lead to higher user engagement and increased CTR. Intending to bring worldwide innovation to the AdTech industry, VDO.AI has gained a global reach in considerably less time and is continuing to achieve new milestones with each passing year.[3]
History
VDO.AI was founded in 2018 by Amitt Sharma,[4] an entrepreneur, inventor, researcher, and futurist who has always been keen to explore how technology can benefit humanity. Initially created to resolve the problem of monetization, with time, VDO.AI evolved into a growth engine for both publishers and advertisers and is now fully established in India, the United States, France, Spain, Vietnam, and Indonesia.[5]
Advertiser Platform
VDO.AI enables advertisers to boost their ad engagement and generate better ROI through its high-impact, data-driven creatives. The platform aids in guiding customers through the entire buying process, from arousing interest to making a purchase, by utilizing its technological solutions.
VDO.AI has 700+ contextual segments that allow it to approach consumers from a variety of perspectives so as to align advertisements with their needs and preferences. Through skillful creation and optimization of ad campaigns across all screens, VDO.AI lets advertisers effectively reach their audiences. Every month, VDO.AI streams over 21 petabytes of data and serves advertisements to 2.1 billion users worldwide.
With savvy data utilization and powerful AI, VDO.AI develops flexible strategies that allow advertisers to reach the right audiences. Gaining a deeper insight into consumers’ needs through IP-enabled datasets and advanced audience mapping techniques, the AI-driven technology customizes ads based on user preferences. This customization bridges the gap between the brand and its target customers leading to increased brand awareness.
VDO.AI's native ad solutions include 3D Impact, 3D Wobble, and Carousel Shoppable Unit.
Publisher Platform
VDO.AI enables publishers to unlock new revenue streams through unified ad experiences. Its publisher suite offers unique and personalized ad solutions that maximize publishers’ revenue-earning potential and inspire them to continue creating high-quality content.
VDO.AI is currently partnered with 500+ publishers and generates 50M+ monthly impressions with an ad completion rate of 60%. Its vast integration options and the widely dispersed group of servers make it feasible to deliver video content to publishers across all platforms. The suite also provides them with a custom video streaming infrastructure to serve contextually relevant advertisements that do not intrude on the viewer experience but rather make the ad appealing to them.
VDO.AI has various ad formats such as native video, product recommendation widget, in-app ad formats, and a recirculation unit. They are developed to help publishers generate additional revenue and increase the overall retention rate on their publishing platforms - websites, mobile apps, and CTV/OTT. The ad server delivers omnichannel videos to maximize impact while the powerful AI adjusts to real-time market situations to increase engagement as well as to drive more page views.
Achievements
VDO.AI constantly participates in large-scale research to incorporate data-driven insights into its ad solutions and enable smooth integration processes for advertisers and publishers across multiple platforms.
For its exceptional performance in providing publishers and advertisers with effective ad solutions, VDO.AI has bagged the following awards and recognitions -
AWARDS & RECOGNITION
| S. no | Award Name | Publication / Organizer | Category |
|---|---|---|---|
2022
| |||
| 1 | Adgully Leader 2.0 | Adgully, India | Excellence in Technology & Innovations |
| 2 | 8th MSME Awards | Assocham, India | Most Innovative Company of the Year |
| 3 | India’s First Tech Startup Conclave | AICRA, India | Best Startup Initiative in AI sector |
| 4 | E4M Real-Time Programmatic Awards 2022 | E4M, India | Best Connected TV/OTT Ad Campaign (for Scaler) |
| 5 | (Finalist) Digiday Video and TV Awards | Digiday, US | Best Digital Video Monetization Program |
| 6 | (Finalist) 2022 AdExchanger Awards | AdExchanger, US | Best Data-Driven TV Campaign (for NBA) |
| 7 | (Finalist) The Wires 2022 - Global | Exchange Wire, US | Best Use of CTV Technology (for NBA) |
2021
| |||
| 1 | Top Ad Network | Goodfirms, US | NA |
| 2 | Screenxx'21 | Adgully, India | Best Brand Campaign on OTT Platform for Foodpanda, Thailand |
Future Goals
Through the efficient integration of advertisers and publishers from around the world, VDO.AI aims to create a vibrant global video advertising ecosystem. Focused on transforming the AdTech industry, VDO.AI aspires to continue growing the audience base and engagement for existing brands and publishers along with welcoming newer partnerships. The company also aims to triple the monetization scope within existing brands and verticals.
References
- ↑ "An Approach Towards Identification and Prevention of Riots by Analysis of Social Media Posts in Real-Time". researchgate.net. Retrieved 30 November 2022.
- ↑ Singh, Prashast Kumar; Sachdeva, Arjit; Mahajan, Dhruv; Pande, Nishtha; Sharma, Amit (September 2014). "An approach towards feature specific opinion mining and sentimental analysis across e-commerce websites". 2014 5th International Conference - Confluence The Next Generation Information Technology Summit (Confluence). pp. 329–335. doi:10.1109/CONFLUENCE.2014.6949312.
- ↑ "Categorical Classification and Deletion of Spam Images on Smartphones Using Image Processing and Machine Learning". researchgate.net. Retrieved 30 November 2022.
- ↑ "Amitt Sharma". scholar.google.co.in. Retrieved 30 November 2022.
- ↑ Sachdeva, Arjit; Singh, Prashast Kumar; Sharma, Amit (October 2015). "MOOCs: A comprehensive study to highlight its strengths and weaknesses". 2015 IEEE 3rd International Conference on MOOCs, Innovation and Technology in Education (MITE). pp. 365–370. doi:10.1109/MITE.2015.7375346. Retrieved 30 November 2022.