Reviewing Facebook engagement across post formats

Build a sample by format and period before calculating anything. Compare videos with similar lengths and subjects where possible, and keep link posts separate from entertainment images. Record publication dates and whether a post was promoted. If one format appears only once, describe that limitation rather than presenting it as a representative pattern. A Page whose strongest results come from live appearances by a particular person may require different resources from a topic publication. The format comparison should expose those operational differences, including the work behind each result.

If a seller quotes engagement rate, ask for the numerator, denominator and sample. Reactions divided by followers and total interactions divided by reported viewers answer different questions. Neither calculation should be mislabeled as an official universal quality score. Write the formula next to the result, and preserve the post values used to produce it. Avoid adding together distinct metrics merely because each appears on the same dashboard. Where definitions or denominators are missing, report the underlying available counts and explain why you cannot produce a comparable percentage responsibly.

Inspect a modest selection of public comments to understand whether people are discussing the subject, asking useful questions or reacting to an unrelated controversy. Repetition or generic comments can prompt a follow-up, but they do not establish fraud by themselves. Language, context and post format all affect how people respond. Do not collect private profiles or turn the review into an investigation of individual followers. Focus on the content-level pattern and ask whether the visible discussion fits the intended project. High activity attached to an unsuitable subject can still be a poor match.

A reaction can indicate interest without showing that someone visited a website, registered for an event or bought a product. Ask for the evidence relevant to the stated objective. If the seller describes commercial outcomes, distinguish platform analytics from external measurement and explain any attribution limits. Do not infer purchase intent from a comment count. For an editorial project, repeat viewing or substantive discussion might be relevant; for a local service, location and qualified inquiries may matter more. State the decision question first so the chosen metrics follow the purpose.

Describe which formats have the strongest documented evidence and what sustaining them would require. Consider original creation, licensing, moderator time and any dependence on a named presenter. Meta discusses originality in relation to distribution and monetization, so copying a successful format is not equivalent to having rights to the content. A useful review ends with a feasible publishing hypothesis and acknowledged uncertainty. Keep weak results in the sample and resist forecasts built only from winners. A listing can introduce a Page for research without guaranteeing that a different team will reproduce its past engagement.