Work / Media and creators
Content research and ideation engine
A content team was planning from instinct, because the research that would have told them what to make was a full-time job on its own. Aniverx built an engine that does the reading and hands back ideas, not raw data.
At a glance
The problem they came with.
What was actually going wrong, before anything was built.
The research was the bottleneck
Knowing what to make next requires more market reading than a content team can fit around actually making things.
Numbers alone do not explain performance
A list of view counts does not tell you why something worked. What a successful piece looked like and what it promised matter as much as how many people watched it.
Audience feedback going unread
The comments carried what the audience actually wanted, in volumes far beyond what anybody was going to read.
What we built.
Described by what it does for the business. How it is put together is a conversation we are happy to have, but it is not what this page is for.
It reads the market on a schedule
Both a daily pass and a wider weekly one, so the team sees fast-moving signals and the broader picture without chasing either.
It analyzes what performed and why
Outliers are identified and examined: not only which pieces did well, but what they looked like and what they promised.
It reads the audience, then suggests
Comments are analyzed at a scale no person would attempt, and the output is a set of ideas with reasoning rather than a report to interpret.
The results
What is different about the way this business runs now.
- Planning starts from current market evidence instead of instinct.
- Competitor performance is reviewed at a scale no person was going to match, daily.
- Audience comments are actually read and summarized rather than skimmed occasionally.
- Research stopped competing with production for the same hours.
The team kept the creative decision and handed over the part that was really daily research.
Other work like this
Is something in your business working like this?
Describe what is taking the time, and we will tell you whether it is worth automating, including when the answer is no.