FOR THE CLASSROOM & THE RESEARCH DESK

Sports marketing.
For academics.

Sportsmetric brings dated public audience observations, sports context and observed brand activity into one place. Use it to frame a question and inspect evidence—not to turn correlation into a causal claim.

Explore the beta Read the field notes

PUBLIC EVIDENCE, READ IN CONTEXTSCROLL TO EXPLORE ↓

A NOTE ON THE EVIDENCE

A careful study begins with a question—and ends with evidence that can be checked.

WHERE IT HELPS

Useful context.
Clear boundaries.

Use public observations to focus the question. Keep the sources, dates and unknowns attached to the answer.

01STUDENTS

A useful assignment starts with a testable question.

Choose a public athlete, team or creator profile and a well-documented sports moment. Compare the available audience observations before, during and after the event, then cite the underlying sources and the dates each observation was recorded.

The work is strongest when the conclusion stays close to what was observed: a change in a platform’s follower count around a date, not proof that a moment created new fans or generated commercial value.

A public snapshot alone cannot support a before-and-after analysis. For a longitudinal assignment, inspect dated historical observations where available in the signed-in beta, and narrow the question if comparable dates are missing.

State the profile, platform, event window and question before looking for a result.
Record observation dates, source links and any gaps in the series.
Separate the event timeline from brand activity observed in the same period.

02PROFESSORS

Bring measurement choices into the teaching module.

Use public examples to teach sports marketing, fandom, attribution and impact analysis as connected—but distinct—problems. Students can compare what different windows show, discuss which comparison would be more informative, and defend the boundaries of their interpretation.

A short module can ask teams to annotate a timeline, identify plausible confounders and write a conclusion that distinguishes descriptive attribution from causal impact.

Explore public WNBA examples Browse women’s sports coverage Explore college profiles

03RESEARCHERS

Make the sample and its boundaries reproducible.

Define the population, inclusion rules, platform, event dates and observation window. Preserve a dated sample description and record which profiles or dates are missing; an observed public series is not necessarily continuous, complete or representative.

For a before/during/after comparison, document the exact cut points and the observations available in each interval. If the platform or profile coverage changes, treat that as a limitation rather than silently filling the gap.

Report the sample selection and the date the evidence was observed.
Keep the source citation with each observation used in your analysis.
Describe missingness and avoid implying that an unobserved value stayed constant.

A WORKING METHOD

Make the
comparison legible.

Moments help orient a timeline. They do not explain it on their own.

01 / FRAME

Choose the moment

Write down the event, profiles, platform and time window you intend to examine.

02 / COMPARE

Read the timeline

Compare dated observations before, during and after the moment; note what is unavailable.

03 / QUALIFY

Test the interpretation

Consider a comparison group and plausible confounders before describing an association.

04 / CITE

Show your working

Cite sources, observation dates, sample boundaries and limits alongside your conclusion.

QUESTIONS BEFORE CONCLUSIONS

What else
could be true?

01
Would a comparable athlete, team or creator without the same event provide a useful control group?
02
Could schedule timing, seasonality, a media appearance, a roster move, paid promotion or platform-wide growth explain some of the pattern?
03
Are the observations frequent and complete enough to support the window being compared?
04
Does the brand activity have a dated source, and is it an observed tag or a verified partnership?

SCOPE & LIMITS

Say what the
evidence can’t.

01Descriptive attribution is not causal impact. Timing alone cannot establish that an event caused an audience change.

02Audience counts are not a direct measure of unique fans, sentiment, purchase intent or commercial outcomes.

03Sportsmetric does not claim to prove marketing ROI, provide full social listening, or replace a research design.

04Public examples are accessible without an account; deeper signed-in analysis is available through the beta. Availability may vary.

05Public access does not promise bulk exports, a research data licence, special academic pricing or an institutional arrangement. Discuss access and permitted reuse before collecting or publishing source-derived data.

FOLLOW THE EVIDENCE

Start with
what’s public.

Examples and resources to continue the work. Public availability does not imply complete coverage.

01Public WNBA profilesAn accessible starting point for athlete and team examples.02College profilesExplore public college sports coverage.03Sports marketing insightsMethods and context from the Sportsmetric field notes.04Audience measurement toolsBrowse available public tools and their stated scope.