What Oppira Signals Measures
Twelve Recurring Questions About What the Market Actually Does
Short answer
Oppira Signals answers twelve recurring questions about what the tracked market actually does, from posting cadence and format mix to timing, paid creative, reviews and messaging. Every figure is reported with the window it covers, and it describes a typical account in the field rather than the largest brand in it.
- In the terminal
oppira signals runThe same measurements run against the competitors you track, in your own timezone.
1. What does Oppira Signals measure?
Twelve recurring questions about the field marketing teams are measured against. The same twelve run on every window, so a figure can be compared with the same figure from six months earlier.
The population is companies somebody tracks as a competitor. That is a more useful sample than a survey panel: it describes the field a marketing team is actually judged against, rather than a random slice of a market nobody competes in.
The twelve measurements, each stated as the question it answers:
- Volume vs yield: does posting more actually produce more?
- Format shift: which post formats is the market moving toward?
- Timing map: when does everyone post, and when does posting actually pay?
- Followers vs engagement: does a growing audience mean growing engagement?
- Paid lift: when a brand runs more ads, does its organic engagement rise too?
- Creative half-life: how long does an ad creative actually stay in market?
- CTA language shift: what are advertisers asking people to do, and is that changing?
- Rating shape: what does a review profile actually look like?
- Messaging portfolio: how concentrated is brand messaging, and on what?
- Tone drift: is the market tone of voice moving, and in which direction?
- Sameness index: how much of a brand vocabulary is shared with the rest of the field?
- Copy-paste index: how much market copy is recycled across channels, and does it cost anything?
2. What does a Signals figure describe?
A typical account in the tracked field, over complete calendar months. Each figure is reported with the window it covers and with what the number actually counts, so it can be compared with your own.
Three properties every published figure has:
- It describes a typical account, not the largest one. A single high-volume brand cannot set a figure for the whole field.
- It states what it counts. Interactions per post and interactions per week are different questions, and mixing them is how cadence arguments go wrong.
- It states the window. A figure from complete months is not comparable with one from a month still in progress.
Where a measurement moves, the direction is what matters, and the page says how large the move was rather than leaving it as a trend line with no units. Where a measurement holds still, that is also a result: most of what the field does month to month is steadier than the commentary about it.
3. What does Signals not claim?
It does not claim cause, and it never describes a single company. The measurements show what accounts do, so the honest use is to locate yourself against the field and then test the change on your own account.
Three limits worth knowing before quoting a figure:
- It is a description, not an experiment. Accounts that post more, or post video, differ from the rest in ways a measurement of behaviour cannot separate.
- It is a field, not a category. Signals pools industries deliberately, so an industry question belongs to the Oppira Benchmark instead.
- It is never about one brand. Signals publishes aggregates only, and no page carries a sentence a reader could use to identify a tracked company.
So what is a figure actually good for?
Deciding what to test and what to stop arguing about. Knowing where the field sits turns a debate about cadence, formats or tone into a measurable gap, and a gap is something one experiment can settle.
4. Can I run these measurements on my own competitors?
Yes. The same measurements run against the competitors you track inside Oppira, in your own timezone and on your own channels, and the cross-industry programme is available through the Oppira CLI.
That is the version that answers a planning question, because it compares you with the companies you actually compete against rather than with a pooled market. Intel keeps the measurements current, Playbook turns the gaps into strategy, and Studio drafts the content that follows from it.
Two ways to reach them:
- In the product: the measurements sit behind Intel and feed the playbook that Studio drafts from.
- In the terminal: oppira signals run pulls the programme for a window, as a written brief or as a machine-readable payload.
Key Takeaways
Twelve recurring questions, not a rotating list of topics
The same twelve measurements run on every window, which is what makes a figure comparable with the same figure from an earlier one.
The sample is the field you are judged against
Signals measures companies that somebody tracks as a competitor, which is a more useful population than a survey panel.
A figure describes a typical account
No single high-volume brand can set a figure, and every figure states what it counts and the window it covers.
Use it to pick the test, not to copy the field
The measurements describe behaviour rather than cause, so the value is in locating your own gap and then testing it.
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Your own numbers, measured the same way
Oppira runs these measurements on the competitors you track, in your own timezone, and turns the gaps into a playbook and drafted posts.