Turn raw engagement counts into a clear index. Adjust weights for your platform and goals. Export results to CSV or PDF for fast reporting.
This calculator converts raw engagement actions into a weighted score, then benchmarks it against your expected engagement rate. It also adds small bonuses for watch attention and early velocity when available.
| Post | Impr. | Reach | Likes | Com. | Shares | Saves | Weighted | ER (Impr) | PEI |
|---|---|---|---|---|---|---|---|---|---|
| Product teaser (Carousel) | 18,400 | 12,300 | 920 | 84 | 62 | 140 | 1,518 | 8.25% | 78.6 |
| Founder story (Video) | 25,000 | 17,800 | 1,050 | 120 | 90 | 210 | 2,010 | 8.04% | 82.1 |
| Quick tip (Image) | 9,600 | 7,200 | 310 | 22 | 12 | 45 | 467 | 4.86% | 58.9 |
Engagement is not uniform. A like signals awareness, while a share or save often signals intent. The calculator converts raw actions into “weighted actions” using adjustable multipliers (defaults: like 1, comment 2, share 3, save 2, click 2, profile visit 1). This creates one comparable numerator across formats. Example inputs of 920 likes, 84 comments, 62 shares, 140 saves, 55 clicks, and 38 profile visits yield 1,518 weighted actions.
The Post Engagement Index (PEI) benchmarks your engagement rate by impressions against an expected rate you set, such as 3.00%. The core score scales performance to a 0–70 range before bonuses, so a post delivering 6.00% on impressions scores about double the benchmark contribution. If your typical rate shifts from 3.2% to 2.6%, update the expected value to keep trend lines consistent.
Impression-based rate is ideal for paid distribution, but reach and follower baselines explain divergence. A post might show 8.25% by impressions and 12.34% by reach, suggesting repeat exposure. Follower-based rate supports cross-account comparison after growth; it keeps interpretation stable when audience size changes or algorithms fluctuate.
Two controlled bonuses add context without overpowering the benchmark. Velocity rewards faster engagement using actions per hour with diminishing returns, capped at 10 points. Watch bonus activates when video views and average watch time are supplied; it scales against a 30-second baseline and caps at 10 points. Together, the bonuses separate “slow burn” content from posts that spike in the first 24 hours.
For consistent reporting, lock weights and expected rate for a quarter, then score every post at the same time window (24 or 48 hours). Track weekly medians, not only winners; a rise from PEI 52 to 60 across 20 posts signals healthier baseline engagement. Export CSV for dashboards and PDF for stakeholders, then compare PEI by post type and platform rather than raw counts. Use the same window for all planned experiments.
PEI summarizes weighted engagement relative to your expected engagement rate. A score near 50 suggests performance close to your benchmark, while 75+ indicates materially stronger results for the same distribution level and time window.
Use your own history. Many teams treat 35–54 as baseline, 55–74 as strong, and 75–100 as excellent. Compare posts scored at the same time window to avoid inflating “good” with extra days of accumulation.
Start with defaults, then align to outcomes. If saves correlate with retention, raise the save weight. If link clicks drive revenue, increase click weight. Keep changes small and document them so month-to-month comparisons remain fair.
Use a rolling median of recent posts on the same platform and post type, such as the last 20–30 posts. Medians resist outliers better than averages and produce a steadier benchmark for PEI.
They add context about early traction and attention without dominating the score. Both bonuses are capped at 10 points, so the benchmarked engagement rate still drives most of PEI and keeps comparisons stable.
Yes. CSV download works well for spreadsheets and dashboards, and PDF export captures the scorecard view for sharing. Re-run the same inputs later to reproduce results for audits or stakeholder reviews.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.