/
Navigation
Chronicles
Browse all articles
Explore
Semantic exploration
Research
Entity momentum
Nexus
Correlations & relationships
Story Arc
Topic evolution
Drift Map
Semantic trajectory animation
Posts
Analysis & commentary
Pulse API
Tech news intelligence API
Browse
Entities
Companies, people, products, technologies
Domains
Browse by publication source
Detection
Concept Search
Semantic similarity search
High Impact Stories
Top coverage by position
Sentiment Analysis
Positive/negative coverage
Anomaly Detection
Unusual coverage patterns
Analysis
Rivalry Report
Compare two entities head-to-head
Semantic Pivots
Narrative discontinuities
Crisis Response
Event recovery patterns
Connected
Search: /
Command: ⌘K
Embeddings: large
TEXXR

Chronicles

The story behind the story

← → days · ↑ ↓ browse · Enter similar · o open

Twitter Adds Product for Advertisers to Target TV Conversations

Twitter Inc. (TWTR) added a tool for advertisers that will let them target users who are posting about television shows, seeking to capitalize on the way people use its microblogging service.

Bloomberg Sarah Frier

Context & Ripple Effects

This is the third step in a deliberate arc of TV-adjacent ad products. Twitter opened interest targeting to advertisers in August 2012, then in July 2013 extended TV commercial targeting to all US advertisers, letting brands reach people who had just seen their spots on air.

The new tool flips the direction: instead of targeting viewers exposed to TV ads, advertisers target users actively posting about television programs. It pairs with the 'TV Trending' box Twitter began testing on timelines in August 2013, and lands amid a burst of November product activity — custom timelines and an API for developers, DMs from any follower, and Vine adding 19 languages — as the newly public company builds out its advertising stack.

First-order effects

  • Advertisers gain a self-serve way to reach the second-screen audience while a show airs, converting live-TV chatter into addressable ad inventory inside Twitter itself.

Second-order effects

  • Broadcasters and TV ad buyers get a quantified bridge between airtime and social engagement, strengthening the pitch that Twitter complements rather than cannibalizes TV budgets — while rival platforms selling interest-based targeting face pressure to match real-time TV-conversation data.

Third-order effects

  • If the pattern holds, social conversation becomes a measurable currency for TV campaign planning, shifting part of the upfront ad market toward whoever owns the real-time data layer between broadcast and audience.

The trend: Television advertising is converging with social platforms, with Twitter positioning itself as the real-time data and targeting layer for second-screen audiences.