"Am I posting too much?" gets debated with opinions and generic advice far more often than it gets answered with actual data — and the honest answer is account-specific, sitting in your own analytics rather than in anyone's universal rule.
The test that actually answers this
Overlay how often you posted each week against how each week performed — not in total (more posts naturally means more total engagement) but per-post. If your per-post reach or engagement declines as frequency rises, you're diluting attention across too many posts, and pulling back would likely improve individual post performance. If per-post metrics hold steady even as frequency rises, you have room to post more without diminishing returns.
Why "post daily" is bad generic advice
A blanket frequency rule ignores the two things that actually determine the right number for your account: how much genuinely new, worthwhile content you can sustain, and how your specific audience responds to volume. An account with a narrow, highly engaged niche audience might saturate that audience faster than a broader one — testing against your own data settles this instead of importing someone else's rule.
The manual bottleneck this test usually reveals
Most accounts that test this find their real constraint isn't audience saturation — it's that manual production quality drops as frequency rises, and the "posting too much" symptom is actually "posting too much for the design time available." This is exactly the constraint automation removes — once a template's design cost is paid once rather than per post, testing a genuinely higher frequency stops being risky, because quality doesn't have to drop to sustain it.
Running the actual comparison
Pick a few weeks at your current frequency and a few weeks at a deliberately different one (higher or lower), keeping format and quality as consistent as you can across both. Compare per-post reach and saves, not totals. This is a small, real experiment rather than following a rule — and it's specific to your account's actual audience, which is the only audience whose response actually matters to your decision.
What to do with the answer
If the data shows room to post more without diluting per-post performance, that's the signal to build out additional automated formats rather than manually straining toward a higher number. If it shows the opposite — declining per-post results at higher frequency — that's real information that your current frequency, or even a lower one, is closer to right for your specific audience than more would be.