Instagram engagement: analysis of 20 reproducible scenarios
Direct answer: Twenty reach-and-interaction combinations show how the same like count can produce very different interpretations depending on the denominator.
Method and assumptions
Each table is generated from an explicit formula. Assumptions are scenario parameters, not observations attributed to the Moroccan market.
Engagement by reach = interactions ÷ reach × 100
| Reach | Interactions | Interactions ÷ reach |
|---|---|---|
| 5 000 | 50 | 1% |
| 5 000 | 100 | 2% |
| 5 000 | 150 | 3% |
| 5 000 | 250 | 5% |
| 5 000 | 400 | 8% |
| 10 000 | 100 | 1% |
| 10 000 | 200 | 2% |
| 10 000 | 300 | 3% |
| 10 000 | 500 | 5% |
| 10 000 | 800 | 8% |
| 25 000 | 250 | 1% |
| 25 000 | 500 | 2% |
| 25 000 | 750 | 3% |
| 25 000 | 1 250 | 5% |
| 25 000 | 2 000 | 8% |
| 50 000 | 500 | 1% |
| 50 000 | 1 000 | 2% |
| 50 000 | 1 500 | 3% |
| 50 000 | 2 500 | 5% |
| 50 000 | 4 000 | 8% |
Why this simulation is useful
The informational value comes from the method: make assumptions visible, show how each variable changes the outcome and let readers reproduce the calculation. The goal is not to publish an unverifiable average but to provide a reproducible decision framework.
How to read the results
Never select a row merely because it looks similar to your situation. Replace assumptions with your own data, compare several scenarios and keep room for uncertainty. A simulation is most useful for understanding sensitivity.
What the model cannot know
The model does not know actual audience quality, contract clauses, seasonality, ad mix, retention or advertiser demand. Those factors need separate evaluation.
Practical interpretation
All 20 rows use reach as the denominator. If you calculate engagement on followers, the result changes. Always name the formula before comparing accounts, posts or studies.
Four-step decision process
1) identify the variable you actually know; 2) replace the matching assumption; 3) calculate low, central and high cases; 4) record what remains unknown before deciding. This discipline prevents an educational number from becoming a fake market truth.
Sources and limitations
For platform metric definitions, FaceTube prioritizes official documentation. Tables on this page do not claim proprietary data collection; they are calculated from the published assumptions. See the FaceTube methodology.
Turn the simulation into your own analysis
Export your own data where the platform allows it, select a stable period and record the date. Replace each assumption with an observed or contractual value. If a variable remains unknown, do not hide it: build at least two plausible cases. Analytical quality comes more from this audit trail than from displaying false precision.
Reproducible audit trail
To verify the calculation, record inputs, formula, unit, date and result. Another person should be able to reproduce the same row and obtain the same value. If a platform update changes the result, preserve the old assumption and explain the change rather than erasing the history.
Frequently asked questions
Are these market data?
No. They are scenarios calculated from visible assumptions and should not be cited as a survey of the Moroccan market.
Can I replace the assumptions?
Yes. That is the point: substitute your own inputs and repeat the calculation.
Does the result guarantee income or a rate?
No. A simulation illustrates a mathematical relationship; it does not guarantee income, an accepted price or campaign performance.