Make TV media intelligible - from signals to stories.
xtnd.tv turns the 0s and 1s in programmatic delivery logs into audience context marketers can actually use: what people watch, how that aligns to your brand story, and whether spend is landing where you think it is.
Three questions, answered clearly
xtnd.tv is built around the practical questions media buyers ask every day.
Who is my audience - really?
Go beyond vague labels. See viewing context that helps you describe the audience in plain language.
What do they watch?
When content data is missing or noisy, use enrichment to recover directionally useful context.
Am I spending where I think I am?
Validate assumptions. Spot mismatches between your plan, your story, and your delivered environments.
Content signal enrichment (beta)
Publishers often avoid passing content titles to prevent cherry-picking and protect premium programming. That makes reporting fuzzy. Our first module reduces the content noise and fills the gaps.
- Normalize content titles (cleanup, dedupe, canonicalization)
- Infer missing context when titles are empty or withheld
- Generate narrative-ready exports for agency and advertiser reports
Self-serve, by design
Agencies and advertisers can request log files from their DSP of choice, upload them, and receive dashboards that plug right into their existing reporting cadence.
Built with modern AI tools (Claude, ChatGPT, Gemini) and a lot of scar tissue from real video buying.