Product Recognition
Detecting in-content products and identifying related product data.
What We Do
Our Product Recognition computer vision model translates pixels into products for brands, media agencies, and market research companies with large media labeling and monitoring operations.
Deep.ad recognizes products and packaging in digital advertising and natural video (i.e. viral social media content). And our data outputs align directly with typical marketing intelligence KPIs.
How We Do It
Our neural networks and machine learning APIs recognize product labels, product art, product text, and other brandprints in any type of digital media or advertising. We then scrape the web for data like UPCs/GTINs, model numbers, SKUs, trademarks, and other attributes we can associate with the product.
Our singular focus on marketing, media, and advertising use cases forces us to deliver actionable market intelligence using OCR and machine learning. Above all, this means our product identification, logo and brand detection, offer recognition, and custom data solutions need to be pixel perfect.
Processing and tagging your PESO media
Like OCR, but for visual product “mentions.”
After importing client assets or scanning a media channel, we inspect every pixel of every frame of content and then label and classify product data.
From there, we turn our findings into records that can be stored, searched, and integrated into other business intelligence platforms.
Step 1: User uploads or indicates images, videos, and/or audio assets for analysis. Users are not limited by file format, type, or size.
Step 2: App ingests this data (or, upon request, we scrape it).
Step 3: Leveraging dozens of APIs, Deep.ad labels occurrences of brand/market intelligence and pulls relevant data from the web from sources like Amazon and Google.
Step 4: All detected and discovered data is normalized, organized, and visualized in easy-to-use dashboards and clean spreadsheet exports.
Step 5: Users can query indexed data for insight and configure rules for alerts.
Step 6: Users can easily integrate data into their in-house and third-party apps.
Bring your own content, or we’ll scrape it for you.
Specialization is the key to unlocking the promise of enterprise machine learning, and scalability is the door knob.
Deep.ad isn’t limited to labeling BYOC (Bring Your Own Content) assets. We have decades of experience scraping reams of media from public sources and marketing channels. So whether you need help analyzing weekly circular advertising or the Netflix Top 100, our team can help you widen your media monitoring lens to an unprecedented scope.
Large-scale channel (i.e. TikTok brand and product monitoring) analysis accomplishes these key goals:
Reach.
Measure your relevance and share of voice within and across specific social media platforms and other channels.Activation.
Find and engage with trending content and creators featuring your products.Risk Reduction.
Maximize your ability to know when and where your products appear.Competitive Intelligence.
Discover your competition’s relevance, media strategies, product placements, and other commercial relationships.
One of the biggest challenges of scale facing marketers right now, for example, is wholesale digital video tracking. Especially for agencies who represent clients with consumer products that crop up left and right in the 20 billion social media videos posted every day.
Deep.ad is the only platform that can help media agencies and brands index and analyze channels of online video data – including trending posts, uploads, and streams across TikTok, YouTube, Facebook, Instagram, and Twitch.
Key Benefits
Reduced Labeling Costs
We automate the visual analysis and transcription of products in video and imagery at a fraction of the cost of what you’re currently spending on data entry.
Product labeling in visual content is highly time-consuming and error-prone work when performed manually. In addition to securing dramatic improvements in product identification and transcription accuracy and speed, automation results in ≥70% cost reduction.
Competitive Intelligence
Moving at the speed of social means staying ahead of your competitors and keeping on top of the latest trends.
Deep.ad will help you understand and analyze their product visibility and Share of Video compared to yours. Gauge consumer perception about their products in UGC and benchmark their pricing and offer strategies.
Brand Protection
You can put a cost on advertising/content data labeling operations.
Brand Safety scandals and viral product misuse are another matter entirely. We can help you steer your client away from scandals and controversy by alerting you when their products (via in-content trademarks and barcode matching) appear in viral content.
Platform Integrations
We understand the importance of clean dashboards and flat data outputs you can easily analyze, act on, and integrate with your own platforms.
Beyond the value of our data, we plug into your in-house Ad Tech / Business Intelligence systems and machine learning algorithms. This can help major data agencies connect the dots between things like SVSOV and receipt data to analyze lift and dip.
Other Data We Label
From Curb Your Enthusiasm. Copyright HBO.
Deep.ad finds brands, products, and offers in natural video. Beyond trademark and barcode matching and analysis, we precisely detect logos, International Standard Recording Code (ISRC), Universal Product Codes (UPC), cross-device beacons and more. We’re the only solution on the market that also scans for and labels offer information (prices, promotions, deals or anything that advertises some form of transaction).
See for yourself.
Interested in a demo? Join our mailing list.
Have a question? Email us at info@deep.ad.
And don’t forget to follow us on LinkedIn!