Offer Recognition
Extracting pricing and offer intelligence from digital ads and media.
Following (and Labeling) the Money
Yeah, brand logo detection is cool. But has your machine learning software ever labeled promotional offers?
Deep.ad scrapes billions of digital and traditional marketing and content assets for ad measurement agencies. This helps make our ML model the most sophisticated solution on the market for monitoring and scanning visual media (video, images, and pdfs) for brand logos and products belonging to your clients and, of course, their competition.
We’re also the only platform that also specializes in finding in-content offer and pricing detection and integrating it with other business data.
How it Works
We apply our Optical Character Recognition (OCR) technology to alphanumeric text that indicates any form of transaction or currency. That includes prices, promotions, and deals that are advertised (or simply appear) in video/image pixels or audio.
We scan and label any traditional or digital media content you provide us with or point us toward. That’s our bread and butter.
But we’re also speeding past the Bring Your Own Content (BYOC) model. We scrape large samples of public User-Generated Content on social media, for example. That includes social videos and imagery on TikTok, YouTube (+ Live & TV), Instagram, Facebook, Twitch, Twitter, LinkedIn, and more. Since we also transcribe audio and speech into text, any podcast or audio-first platform (Spotify, SoundCloud, Clubhouse) is also in our wheelhouse.
How it Helps
Even though over half of corporate data and analytics decision makers have already adopted AI and ML technologies, there are two key challenges hobbling their successful implementation and profitability.
The majority of enterprise AI/ML projects either a) don’t leave the experimentation or R&D phase, or b) fail soon after implementation.
The ML software isn’t sophisticated enough to make or sustain a compelling business case.
To avoid these pitfalls, we’re obsessively focused on Ad Tech pain points and cost centers – not AI bells and whistles.
Our platform was built from the ground-up with the specific purpose of finding marketing information in unstructured data. Every line of code we write is designed to help agencies automate video monitoring, reduce attribution/data entry costs, and generate brand and competitive intelligence. We don’t spend time engineering custom solutions for other industries like many of our Visual AI / Computer Vision competitors.
All of our data outputs harmonize perfectly with data industry platforms and practices.
For example, we can plug into your agency’s in-house ML program to look for lift and dip relationships between our natural video findings and brand receipt data.
Deep.ad was built from the ground-up to help Ad Tech agencies find and label marketing information in unstructured data. It helps that we speak the same Ad Tech language (Share of Voice, CTR, DSP, CPM, CRM, ERP, etc.), too.
Other Data We Label
From Ozark. Copyright Netflix.
Interested in learning more?
Have a question? Email us at info@deep.ad.
And don’t forget to connect with us on LinkedIn.