Introducing TRAILR

AI-powered deep listening tool that transforms viewer comments into insights on trailer performance & drivers and limiters of gamer engagement

in real time, in competitive context, predictive of launch success

TRAILR is the next gen path to gamer insights

Much faster and far more efficient than traditional quantitative research

broader and richer than focus groups

while retaining the typical insights and benefits from each methods

In addition, it brings unique & exclusive benefits:

Quantified insights
Performance prediction
Granular optimization
Specific actionability
Full competitive coverage
True impact on success
Real time
Authentic - no test bias
Custom & retrospective analysis

How it works

From online trailer comments

to solid quantitative insights

See an Example

Unstructured Gamer Feedback

TRAILR Exclusive Next Gen Processing Technology

Data Qualification

We only use vetted data sources, and comb through thousands of comments to clean out spam and other irrelevant data - only commentary about the trailer and the game it represents are pulled in

ClearVoice©

Unique AI-powered model transforms each comment into single-thought units for analysis that use the same language style while keeping the original emotional load

Sarcasm

Check

Sarcasm Check

Model detects sarcasm and transforms the comment to reflect a straight message - this ensures it can be properly interpreted at the later stages of the analysis

Comment Sorting

Machine-learning model assigns each comment to predefined dimensions within a robust analytical framework with multiple layers of analysis - KPIs, diagnostics, emotions

Context Injection©

AI-powered model assigns context to each comment (IP, franchise, game, studio, platform) to enable a proper interpretation of its semantic core and all references within it

Sentiment Assignment

AI model teases out the sentiment behind each statement within a comment - sentiment types vary by metric to ensure performance is measured in a meaningful way