Contextual Video Advertising
Across Every Platform
PXLSTRM reads video content — objects, dialogue, scenes — and places your ads where context matches intent. Cookieless advertising, self-learning, proven at scale on YouTube, TikTok, and Pinterest.
Context, Zero Cookies
Cookieless advertising based on what's happening in the video right now. Fully privacy-compliant. No third-party data dependencies.
Reach Beyond Keywords
Semantic contextual targeting extracts up to 500 keywords per minute of video — signals that keyword lists never surface. 118% more relevant channels discovered vs. manual targeting.
Spend That Performs
Precise placement eliminates waste impressions. 31% lower eCPM documented in a DACH sports retailer case. Your budget works on placements that convert.
Brand Safety Built In
Content-level analysis distinguishes context that keyword blocklists miss. Proven in regulated categories: alcohol, pharma, finance.
Full-Depth YouTube Contextual Advertising
PXLSTRM analyzes dialogue, on-screen objects, scene context, and channel metadata across millions of videos. With over 3.5 million YouTube videos uploaded every day, the matching analysis runs fresh for every campaign — what fit a month ago may not fit today.
- Reservation buying, Premier Reach, Masthead
- Pause Ads and Peak Points targeting
- Shoppable CTV and programmatic video advertising formats
- Contextual targeting in regulated categories
- Self-learning optimization over campaign lifetime
TikTok Contextual Targeting in Short-Form Video
TikTok has become a buying surface: 1.6B+ monthly users, and 47% of them discover products on the platform. PXLSTRM runs frame-level and audio analysis to convert video context into audience behavior signals — moment-based targeting built on mood and context, not interest categories.
- Frame-level video and audio analysis
- Moment-based targeting: mood + context
- First-party signals captured under GDPR and consent frameworks
- Fashion, sport, luxury, shopping verticals
- Same AI core already proven on YouTube
Contextual Targeting Where 55% of Users Come to Buy
Pinterest users plan purchases, save ideas, and discover products. PXLSTRM analyzes pins at the visual, thematic, and context level — placing ads where users are actively in a buying mindset. 20.3 million users in Germany alone.
- Visual content analysis across millions of pins
- 55% of users arrive with purchase intent (vs. 12% on Meta)
- 98% of users discover new products on the platform
- 44% of DE users in high-income households
- ~50% incremental reach vs. TikTok-only campaigns
PXLSTRM iCheck
An independent audit of your existing YouTube campaigns. You send the video IDs, we analyze up to 100,000 of them and deliver a metrics report covering contextual accuracy, brand safety (high/medium/low risk), IAB category risk, and content categories. On average, iCheck identifies more than 50% potential improvement in relevancy. In one client audit, only 6.46% of impressions reached the target audience — the PXLSTRM campaign that followed delivered 97%.
PXLSTRM Intel
Market analysis for your vertical and region on YouTube: who's advertising, what they promote, how often ads run, estimated spend, which content types attract the most ads — and which are overlooked. Extends into Competitor Analysis (track up to 30 competitors, share of voice, spend benchmarks, SOV planner) and Trend Analysis (emerging advertisers, rising channels, content trends).
| PXLSTRM iCheck | PXLSTRM Intel | |
|---|---|---|
| Question it answers | How well did my YouTube campaign actually perform? | What is happening in my market on YouTube? |
| Input | Video IDs from your past campaign | Your vertical, region, and competitor list |
| Scope | Up to 100,000 videos analyzed | Market-wide ad landscape, up to 30 tracked competitors |
| Deliverable | Metrics report: contextual accuracy, brand safety risk, IAB category risk, content categories | Competitor and trend report: share of voice, spend estimates, emerging channels, content trends |
| Turnaround | ~10 days | Depends on scope |
| Best for | Auditing spend before re-booking a campaign | Planning strategy and benchmarking against competitors |
Sources: analysis of 20+ campaigns across four verticals (2024), anonymized client case studies, Adello internal A/B tests.