Instagram Content Efficiency Score — the composite that tells you which post to spend money behind, not which post already spent it for you.

How it works.

The Content Efficiency Score is one number per post, computed from three inputs. First, an intent-weighted engagement composite — saves and shares carry the heaviest weight because they are the highest-intent actions the platform exposes, watch time on Reels carries a strong weight because it is what the Reels algorithm ranks on, profile visits carry a moderate weight because they signal follow-consideration, and likes carry a very light weight because they are the lowest-intent action. Second, the composite is divided by reach, so the score reflects intent per account reached rather than absolute volume. Third, the resulting number is normalised against the account's own trailing 30-day median, so the useful comparison is "how efficient is this post versus this account's own baseline" rather than "how efficient is this post versus some public benchmark." The result surfaces two things: posts that beat the baseline on efficiency but underperformed on reach (the hidden gems, worth paid boost), and posts that hit high reach but scored low on efficiency (the vanity posts, worth nothing behind them). Without the composite, agencies default to boosting the highest-reach post — which is almost always the wrong post.

1. Pull the engagement inputs. Saves, shares, watch time (Reels), profile visits, likes — all from the Graph API per post.
2. Weight by intent. Saves and shares heaviest, watch time strong, profile visits moderate, likes very light.
3. Divide by reach. Score reflects intent per account, not absolute intent — so small-reach posts with strong per-account engagement are not penalised.
4. Normalise against the account's own baseline. Trailing 30-day median. Public benchmarks are too categorical — each healthcare vertical behaves differently.
5. Flag hidden gems. High efficiency + low absolute reach = paid-boost candidate. Surface these in the weekly report with a spend recommendation.
6. Flag vanity posts. High reach + low efficiency = format that is entertaining but not converting. Keep for top-of-funnel; do not boost.

Where efficiency scoring gets misapplied.

1. Weighting likes too heavily. A "total engagement per reach" score that treats likes like saves fails to surface the intent posts — it just re-ranks by engagement rate.
2. Comparing against public benchmarks. A public benchmark averages across categories that behave nothing like healthcare — the account's own baseline is the only comparison that matters.
3. Boosting on efficiency alone without a reach floor. A tiny post with three saves on 30 reach can score high on efficiency without being a real signal — a minimum reach threshold is needed to filter noise.
4. Ignoring pillar context. A behind-the-scenes post is not supposed to score high on efficiency — do not judge it against clinical-education carousels on the same axis.
5. Auto-boosting on efficiency without human review. The score surfaces candidates; the account manager still has to check the post is compliant, the offer is live, and the landing surface is ready.
6. Reporting efficiency without explaining it. A composite score with no definition is a black box — the client needs to see the input weights on the report footer at least once per quarter.

Frequently asked questions.